National Library of Energy BETA

Sample records for wet process clinker

  1. Hydrothermal Processing of Wet Wastes

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Processing of Wet Wastes James Oyler July 2014 Slide 1 Slide 2 Q: What is possible with Waste-to-Energy (WTE)? A: Up to 25% of US Liquid Fuel Supply. 25% Sounds High-Is That Possible? * Available technology and wet wastes can start toward this goal now * 285,000 barrels of oil per day by 2025 - 3.3 million bbl/d by 2045 (17% of US demand); also produces more than 6 million MCF/d of methane - Continue growing to 25% of US demand by adding more feedstocks (chart shown later) * Using wastes solves

  2. Hydrothermal Processing of Wet Wastes | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Hydrothermal Processing of Wet Wastes Hydrothermal Processing of Wet Wastes Breakout Session 3A-Conversion Technologies III: Energy from Our Waste (Will we Be Rich in Fuel or Knee Deep in Trash by 2025?) Hydrothermal Processing of Wet Wastes James R. Oyler, President, Genifuel Corporation PDF icon oyler_biomass_2014.pdf More Documents & Publications Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Waste-to-Energy Workshop Summary Report Algae-to-Fuel: Integrating

  3. Electro-osmotic transport in wet processing of textiles

    DOE Patents [OSTI]

    Cooper, J.F.

    1998-09-22

    Electro-osmotic (or electrokinetic) transport is used to efficiently force a solution (or water) through the interior of the fibers or yarns of textile materials for wet processing of textiles. The textile material is passed between electrodes that apply an electric field across the fabric. Used alone or in parallel with conventional hydraulic washing (forced convection), electro-osmotic transport greatly reduces the amount of water used in wet processing. The amount of water required to achieve a fixed level of rinsing of tint can be reduced, for example, to 1--5 lbs water per pound of fabric from an industry benchmark of 20 lbs water/lb fabric. 5 figs.

  4. Electro-osmotic transport in wet processing of textiles

    DOE Patents [OSTI]

    Cooper, John F. (Oakland, CA)

    1998-01-01

    Electro-osmotic (or electrokinetic) transport is used to efficiently force a solution (or water) through the interior of the fibers or yarns of textile materials for wet processing of textiles. The textile material is passed between electrodes that apply an electric field across the fabric. Used alone or in parallel with conventional hydraulic washing (forced convection), electro-osmotic transport greatly reduces the amount of water used in wet processing. The amount of water required to achieve a fixed level of rinsing of tint can be reduced, for example, to 1-5 lbs water per pound of fabric from an industry benchmark of 20 lbs water/lb fabric.

  5. Incorporation of trace elements in Portland cement clinker: Thresholds limits for Cu, Ni, Sn or Zn

    SciTech Connect (OSTI)

    Gineys, N.; Aouad, G.; Sorrentino, F.; Damidot, D.

    2011-11-15

    This paper aims at defining precisely, the threshold limits for several trace elements (Cu, Ni, Sn or Zn) which correspond to the maximum amount that could be incorporated into a standard clinker whilst reaching the limit of solid solution of its four major phases (C{sub 3}S, C{sub 2}S, C{sub 3}A and C{sub 4}AF). These threshold limits were investigated through laboratory synthesised clinkers that were mainly studied by X-ray Diffraction and Scanning Electron Microscopy. The reference clinker was close to a typical Portland clinker (65% C{sub 3}S, 18% C{sub 2}S, 8% C{sub 3}A and 8% C{sub 4}AF). The threshold limits for Cu, Ni, Zn and Sn are quite high with respect to the current contents in clinker and were respectively equal to 0.35, 0.5, 0.7 and 1 wt.%. It appeared that beyond the defined threshold limits, trace elements had different behaviours. Ni was associated with Mg as a magnesium nickel oxide (MgNiO{sub 2}) and Sn reacted with lime to form a calcium stannate (Ca{sub 2}SnO{sub 4}). Cu changed the crystallisation process and affected therefore the formation of C{sub 3}S. Indeed a high content of Cu in clinker led to the decomposition of C{sub 3}S into C{sub 2}S and of free lime. Zn, in turn, affected the formation of C{sub 3}A. Ca{sub 6}Zn{sub 3}Al{sub 4}O{sub 15} was formed whilst a tremendous reduction of C{sub 3}A content was identified. The reactivity of cements made with the clinkers at the threshold limits was followed by calorimetry and compressive strength measurements on cement paste. The results revealed that the doped cements were at least as reactive as the reference cement.

  6. Reductive stripping process for the recovery of uranium from wet-process phosphoric acid

    DOE Patents [OSTI]

    Hurst, Fred J. (Oak Ridge, TN); Crouse, David J. (Oak Ridge, TN)

    1984-01-01

    A reductive stripping flow sheet for recovery of uranium from wet-process phosphoric acid is described. Uranium is stripped from a uranium-loaded organic phase by a redox reaction converting the uranyl to uranous ion. The uranous ion is reoxidized to the uranyl oxidation state to form an aqueous feed solution highly concentrated in uranium. Processing of this feed through a second solvent extraction cycle requires far less stripping reagent as compared to a flow sheet which does not include the reductive stripping reaction.

  7. Recovery of Uranium from Wet Phosphoric Acid by Solvent Extraction Processes

    SciTech Connect (OSTI)

    Beltrami, Denis; Cote, Grard; Mokhtari, Hamid; Courtaud, Bruno; Moyer, Bruce A; Chagnes, Alexandre

    2014-01-01

    Between 1951 and 1991, about 17 processes were developed to recover uranium from wet phosphoric acid (WPA), but the viability of these processes was subject to the variation of the uranium price market. Nowadays, uranium from WPA appears to be attractive due to the increase of the global uranium demand resulting from the emergence of developing countries. The increasing demand provides impetus for a new look at the applicable technology with a view to improvements as well as altogether new approaches. This paper gives an overview on extraction processes developed in the past to recover uranium from wet phosphoric acid (WPA) as well as the physicochemistry involved in these processes. Recent advances concerning the development of new extraction systems are also reported and discussed.

  8. Recovery of Uranium from Wet Phosphoric Acid by Solvent Extraction Processes

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Beltrami, Denis; Cote, Gérard; Mokhtari, Hamid; Courtaud, Bruno; Moyer, Bruce A; Chagnes, Alexandre

    2014-01-01

    Between 1951 and 1991, about 17 processes were developed to recover uranium from wet phosphoric acid (WPA), but the viability of these processes was subject to the variation of the uranium price market. Nowadays, uranium from WPA appears to be attractive due to the increase of the global uranium demand resulting from the emergence of developing countries. The increasing demand provides impetus for a new look at the applicable technology with a view to improvements as well as altogether new approaches. This paper gives an overview on extraction processes developed in the past to recover uranium from wet phosphoric acidmore » (WPA) as well as the physicochemistry involved in these processes. Recent advances concerning the development of new extraction systems are also reported and discussed.« less

  9. Preliminary Evaluation of Cesium Distribution for Wet Sieving Process Planned for Soil Decontamination in Japan - 13104

    SciTech Connect (OSTI)

    Enokida, Y.; Tanada, Y.; Hirabayashi, D.; Sawada, K.

    2013-07-01

    For the purpose of decontaminating radioactive cesium from a huge amount of soil, which has been estimated to be 1.2x10{sup 8} m{sup 3} by excavating to a 5-cm depth from the surface of Fukushima Prefecture where a severe nuclear accident occurred at TEPCO's power generating site and has emitted a significant amount of radioactive materials, mainly radioactive cesium, a wet sieving process was selected as one of effective methods available in Japan. Some private companies have demonstrated this process for soil treatment in the Fukushima area by testing at their plants. The results were very promising, and a full-fledged application is expected to follow. In the present study, we spiked several aqueous samples containing soil collected from an industrial wet sieving plant located near our university for the recycling of construction wastes with non-radioactive cesium hydroxide. The present study provides scientific data concerning the effectiveness in volume reduction of the contaminated soil by a wet sieving process as well as the cesium distribution between the liquid phase and clay minerals for each sub-process of the full-scale one, but a simulating plant equipped with a process of coagulating sedimentation and operational safety fundamentals for the plant. Especially for the latter aspect, the study showed that clay minerals of submicron size strongly bind a high content of cesium, which was only slightly removed by coagulation with natural sedimentation (1 G) nor centrifugal sedimentation (3,700 G) and some of the cesium may be transferred to the effluent or recycled water. By applying ultracentrifugation (257,000 G), most of submicron clay minerals containing cesium was removed, and the cesium amount which might be transferred to the effluent or recycled water, could be reduced to less than 2.3 % of the original design by the addition of a cesium barrier consisting of ultracentrifugation or a hollow fiber membrane. (authors)

  10. Chemical Processing in High-Pressure Aqueous Environments. 7. Process Development for Catalytic Gasification of Wet Biomass Feedstocks

    SciTech Connect (OSTI)

    Elliott, Douglas C.; Neuenschwander, Gary G.; Hart, Todd R.; Butner, Scott S.; Zacher, Alan H.; Engelhard, Mark H.; Young, James S.; McCready, David E.

    2004-07-01

    Through the use of a metal catalyst, gasification of wet biomass can be accomplished with high levels of carbon conversion to gas at relatively low temperature (350 C). In the pressurized-water environment (20 MPa) near-total conversion of the organic structure of biomass to gases has been accomplished in the presence of a ruthenium metal catalyst. The process is essentially steam reforming as there is no added oxidizer or reagent other than water. In addition, the gas produced is a medium-heating value gas due to the synthesis of high-levels of methane, as dictated by thermodynamic equilibrium. Biomass trace components cause processing difficulties using the fixed catalyst bed tubular reactor system. Results are described for both bench-scale and scaled-up reactor systems.

  11. Characterization using thermomechanical and differential thermal analysis of the sinterization of Portland clinker doped with CaF{sub 2}

    SciTech Connect (OSTI)

    Dominguez, O.; Torres-Castillo, A.; Flores-Velez, L.M.; Torres, R.

    2010-04-15

    In this work, the sintering process of Portland cement was studied by combining thermomechanical analysis (TMA) and differential thermal analysis (DTA), together with X-ray diffraction (XRD) and scanning electron microscopy (SEM). Thermal analysis results employing both techniques indicted that phase transformations appeared at lower temperatures when CaF{sub 2} was incorporated in the raw materials. Besides, it was observed at high temperature that in some phase transformations TMA conducts to better resolution compared with the DTA measurements. Furthermore, mechanical properties and X-ray diffraction patterns corroborate the TMA and DTA results, corroborating that the final amount of alite (Ca{sub 3}SiO{sub 5}) is higher when a certain amount of CaF{sub 2} was present during the clinkerization process.

  12. Initial evaluation of dry storage issues for spent nuclear fuels in wet storage at the Idaho Chemical Processing Plant

    SciTech Connect (OSTI)

    Guenther, R.J.; Johnson, A.B. Jr.; Lund, A.L.; Gilbert, E.R.

    1996-07-01

    The Pacific Northwest Laboratory has evaluated the basis for moving selected spent nuclear fuels in the CPP-603 and CPP-666 storage pools at the Idaho Chemical Processing Plant from wet to dry interim storage. This work is being conducted for the Lockheed Idaho Technologies Company as part of the effort to determine appropriate conditioning and dry storage requirements for these fuels. These spent fuels are from 22 test reactors and include elements clad with aluminum or stainless steel and a wide variety of fuel materials: UAl{sub x}, UAl{sub x}-Al and U{sub 3}O{sub 8}-Al cermets, U-5% fissium, UMo, UZrH{sub x}, UErZrH, UO{sub 2}-stainless steel cermet, and U{sub 3}O{sub 8}-stainless steel cermet. The study also included declad uranium-zirconium hydride spent fuel stored in the CPP-603 storage pools. The current condition and potential failure mechanisms for these spent fuels were evaluated to determine the impact on conditioning and dry storage requirements. Initial recommendations for conditioning and dry storage requirements are made based on the potential degradation mechanisms and their impacts on moving the spent fuel from wet to dry storage. Areas needing further evaluation are identified.

  13. Study of an ammonia-based wet scrubbing process in a continuous flow system

    SciTech Connect (OSTI)

    Mao, James X.; Lee, Anita S.; Kitchin, John R.; Nulwala, Hunaid B.; Luebke, David R.; Damodaran, Krishnan

    2013-01-01

    A continuous gas and liquid flow, regenerative scrubbing process for CO{sub 2} capture was demonstrated at the bench-scale level. An aqueous ammonia-based solution captures CO{sub 2} from simulated flue gas in an absorber and releases a nearly pure stream of CO{sub 2} in the regenerator. After the regeneration, the solution of ammonium compounds is recycled to the absorber. The design of a continuous flow unit was based on earlier exploratory results from a semi-batch reactor, where a CO{sub 2} and N{sub 2} simulated flue gas mixture flowed through a well-mixed batch of ammonia-based solution. During the semi-batch tests, the solution was cycled between absorption and regeneration steps to measure the carrying capacity of the solution at various initial ammonia concentrations and temperatures. Consequentially, a series of tests were conducted on the continuous unit to observe the effect of various parameters on CO{sub 2} removal efficiency and regenerator effectiveness within the flow system. The parameters that were studied included absorber temperature, regenerator temperature, initial NH{sub 3} concentration, simulated flue gas flow rate, liquid solvent inventory in the flow system, and height of the packed-bed absorber. From this testing and subsequent testing, ammonia losses from both the absorption and regeneration steps were quantified, and attempts were made to maintain steady state during operations. Implications of experimental results with respect to process design are discussed.

  14. Wet processing of palladium for use in the tritium facility at Westinghouse, Savannah River, SC. Preparation of palladium using the Mound Muddy Water process

    SciTech Connect (OSTI)

    Baldwin, D.P.; Zamzow, D.S.

    1998-11-10

    Palladium used at Savannah River for tritium storage is currently obtained from a commercial source. In order to better understand the processes involved in preparing this material, Savannah River is supporting investigations into the chemical reactions used to synthesize this material and into the conditions necessary to produce palladium powder that meets their specifications. This better understanding may help to guarantee a continued reliable source for this material in the future. As part of this evaluation, a work-for-others contract between Westinghouse Savannah River Company and the Ames Laboratory Metallurgy and Ceramics Program was initiated. During FY98, the process for producing palladium powder developed in 1986 by Dan Grove of Mound Applied Technologies (USDOE) was studied to understand the processing conditions that lead to changes in morphology in the final product. This report details the results of this study of the Mound Muddy Water process, along with the results of a round-robin analysis of well-characterized palladium samples that was performed by Savannah River and Ames Laboratory. The Mound Muddy Water process is comprised of three basic wet chemical processes, palladium dissolution, neutralization, and precipitation, with a number of filtration steps to remove unwanted impurity precipitates.

  15. Utilization of municipal solid waste incineration fly ash for sulfoaluminate cement clinker production

    SciTech Connect (OSTI)

    Wu Kai; Shi Huisheng; Guo Xiaolu

    2011-09-15

    Highlights: > The replacement can be taken up to 30% of MSWI fly ash in the raw mix. > The novelty compositional parameters were defined, their optimum values were determined. > Expansive property of SAC is strongly depended on gypsum content. > Three leaching test methods are used to assess the environmental impact. - Abstract: The feasibility of partially substituting raw materials with municipal solid waste incineration (MSWI) fly ash in sulfoaluminate cement (SAC) clinker production was investigated by X-ray diffraction (XRD), compressive strength and free expansion ratio testing. Three different leaching tests were used to assess the environmental impact of the produced material. Experimental results show that the replacement of MSWI fly ash could be taken up to 30% in the raw mixes. The good quality SAC clinkers are obtained by controlling the compositional parameters at alkalinity modulus (C{sub m}) around 1.05, alumina-sulfur ratio (P) around 2.5, alumina-silica ratio (N) around 2.0{approx}3.0 and firing the raw mixes at 1250 deg. C for 2 h. The compressive strengths of SAC are high in early age while that develop slowly in later age. Results also show that the expansive properties of SAC are strongly depended on the gypsum content. Leaching studies of toxic elements in the hydrated SAC-based system reveal that all the investigated elements are well bounded in the clinker minerals or immobilized by the hydration products. Although some limited positive results indicate that the SAC prepared from MSWI fly ash would present no immediate thread to the environment, the long-term toxicity leaching behavior needs to be further studied.

  16. Simultaneous assessment of phase chemistry, phase abundance and bulk chemistry with statistical electron probe micro-analyses: Application to cement clinkers

    SciTech Connect (OSTI)

    Wilson, William; Krakowiak, Konrad J.; Ulm, Franz-Josef

    2014-01-15

    According to recent developments in cement clinker engineering, the optimization of chemical substitutions in the main clinker phases offers a promising approach to improve both reactivity and grindability of clinkers. Thus, monitoring the chemistry of the phases may become part of the quality control at the cement plants, along with the usual measurements of the abundance of the mineralogical phases (quantitative X-ray diffraction) and the bulk chemistry (X-ray fluorescence). This paper presents a new method to assess these three complementary quantities with a single experiment. The method is based on electron microprobe spot analyses, performed over a grid located on a representative surface of the sample and interpreted with advanced statistical tools. This paper describes the method and the experimental program performed on industrial clinkers to establish the accuracy in comparison to conventional methods. -- Highlights: A new method of clinker characterization Combination of electron probe technique with cluster analysis Simultaneous assessment of phase abundance, composition and bulk chemistry Experimental validation performed on industrial clinkers.

  17. Optical wet steam monitor

    DOE Patents [OSTI]

    Maxey, L.C.; Simpson, M.L.

    1995-01-17

    A wet steam monitor determines steam particle size by using laser doppler velocimeter (LDV) device to produce backscatter light. The backscatter light signal is processed with a spectrum analyzer to produce a visibility waveform in the frequency domain. The visibility waveform includes a primary peak and a plurality of sidebands. The bandwidth of at least the primary frequency peak is correlated to particle size by either visually comparing the bandwidth to those of known particle sizes, or by digitizing the waveform and comparing the waveforms electronically. 4 figures.

  18. Optical wet steam monitor

    DOE Patents [OSTI]

    Maxey, Lonnie C. (Powell, TN); Simpson, Marc L. (Knoxville, TN)

    1995-01-01

    A wet steam monitor determines steam particle size by using laser doppler velocimeter (LDV) device to produce backscatter light. The backscatter light signal is processed with a spectrum analyzer to produce a visibility waveform in the frequency domain. The visibility waveform includes a primary peak and a plurality of sidebands. The bandwidth of at least the primary frequency peak is correlated to particle size by either visually comparing the bandwidth to those of known particle sizes, or by digitizing the waveform and comparing the waveforms electronically.

  19. Wet Gasification of Ethanol Residue: A Preliminary Assessment

    SciTech Connect (OSTI)

    Brown, Michael D.; Elliott, Douglas C.

    2008-09-22

    A preliminary technoeconomic assessment has been made of several options for the application of catalytic hydrothermal gasification (wet gasification) to ethanol processing residues.

  20. Carbon dioxide capture from a cement manufacturing process

    DOE Patents [OSTI]

    Blount, Gerald C. (North Augusta, SC); Falta, Ronald W. (Seneca, SC); Siddall, Alvin A. (Aiken, SC)

    2011-07-12

    A process of manufacturing cement clinker is provided in which a clean supply of CO.sub.2 gas may be captured. The process also involves using an open loop conversion of CaO/MgO from a calciner to capture CO.sub.2 from combustion flue gases thereby forming CaCO.sub.3/CaMg(CO.sub.3).sub.2. The CaCO.sub.3/CaMg(CO.sub.3).sub.2 is then returned to the calciner where CO.sub.2 gas is evolved. The evolved CO.sub.2 gas, along with other evolved CO.sub.2 gases from the calciner are removed from the calciner. The reactants (CaO/MgO) are feed to a high temperature calciner for control of the clinker production composition.

  1. Wetting kinetics of water nano-droplet containing non-surfactant nanoparticles: A molecular dynamics study

    SciTech Connect (OSTI)

    Lu, Gui; Department of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, Pennsylvania 19104 ; Hu, Han; Sun, Ying E-mail: ysun@coe.drexel.edu; Duan, Yuanyuan E-mail: ysun@coe.drexel.edu

    2013-12-16

    In this Letter, dynamic wetting of water nano-droplets containing non-surfactant gold nanoparticles on a gold substrate is examined via molecular dynamics simulations. The results show that the addition of non-surfactant nanoparticles hinders the nano-second droplet wetting process, attributed to the increases in both surface tension of the nanofluid and friction between nanofluid and substrate. The droplet wetting kinetics decreases with increasing nanoparticle loading and water-particle interaction energy. The observed wetting suppression and the absence of nanoparticle ordering near the contact line of nano-sized droplets differ from the wetting behaviors reported from nanofluid droplets of micron size or larger.

  2. Competitive Wetting in Active Brazes

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chandross, Michael Evan

    2014-05-01

    We found that the wetting and spreading of molten filler materials (pure Al, pure Ag, and AgAl alloys) on a Kovar ™ (001) substrate was studied with molecular dynamics simulations. A suite of different simulations was used to understand the effects on spreading rates due to alloying as well as reactions with the substrate. Moreover, the important conclusion is that the presence of Al in the alloy enhances the spreading of Ag, while the Ag inhibits the spreading of Al.

  3. Coal combustion by wet oxidation

    SciTech Connect (OSTI)

    Bettinger, J.A.; Lamparter, R.A.; McDowell, D.C.

    1980-11-15

    The combustion of coal by wet oxidation was studied by the Center for Waste Management Programs, of Michigan Technological University. In wet oxidation a combustible material, such as coal, is reacted with oxygen in the presence of liquid water. The reaction is typically carried out in the range of 204/sup 0/C (400/sup 0/F) to 353/sup 0/C (650/sup 0/F) with sufficient pressure to maintain the water present in the liquid state, and provide the partial pressure of oxygen in the gas phase necessary to carry out the reaction. Experimental studies to explore the key reaction parameters of temperature, time, oxidant, catalyst, coal type, and mesh size were conducted by running batch tests in a one-gallon stirred autoclave. The factors exhibiting the greatest effect on the extent of reaction were temperature and residence time. The effect of temperature was studied from 204/sup 0/C (400/sup 0/F) to 260/sup 0/C (500/sup 0/F) with a residence time from 600 to 3600 seconds. From this data, the reaction activation energy of 2.7 x 10/sup 4/ calories per mole was determined for a high-volatile-A-Bituminous type coal. The reaction rate constant may be determined at any temperature from the activation energy using the Arrhenius equation. Additional data were generated on the effect of mesh size and different coal types. A sample of peat was also tested. Two catalysts were evaluated, and their effects on reaction rate presented in the report. In addition to the high temperature combustion, low temperature desulfurization is discussed. Desulfurization can improve low grade coal to be used in conventional combustion methods. It was found that 90% of the sulfur can be removed from the coal by wet oxidation with the carbon untouched. Further desulfurization studies are indicated.

  4. Carbon nanotube fiber spun from wetted ribbon

    DOE Patents [OSTI]

    Zhu, Yuntian T; Arendt, Paul; Zhang, Xiefei; Li, Qingwen; Fu, Lei; Zheng, Lianxi

    2014-04-29

    A fiber of carbon nanotubes was prepared by a wet-spinning method involving drawing carbon nanotubes away from a substantially aligned, supported array of carbon nanotubes to form a ribbon, wetting the ribbon with a liquid, and spinning a fiber from the wetted ribbon. The liquid can be a polymer solution and after forming the fiber, the polymer can be cured. The resulting fiber has a higher tensile strength and higher conductivity compared to dry-spun fibers and to wet-spun fibers prepared by other methods.

  5. Wetting and free surface flow modeling for potting and encapsulation.

    SciTech Connect (OSTI)

    Brooks, Carlton, F.; Brooks, Michael J.; Graham, Alan Lyman; Noble, David F. ); Notz, Patrick K.; Hopkins, Matthew Morgan; Castaneda, Jaime N.; Mahoney, Leo James; Baer, Thomas A.; Berchtold, Kathryn; Adolf, Douglas Brian; Wilkes, Edward Dean; Rao, Rekha Ranjana; Givler, Richard C.; Sun, Amy Cha-Tien; Cote, Raymond O.; Mondy, Lisa Ann; Grillet, Anne Mary; Kraynik, Andrew Michael

    2007-06-01

    As part of an effort to reduce costs and improve quality control in encapsulation and potting processes the Technology Initiative Project ''Defect Free Manufacturing and Assembly'' has completed a computational modeling study of flows representative of those seen in these processes. Flow solutions are obtained using a coupled, finite-element-based, numerical method based on the GOMA/ARIA suite of Sandia flow solvers. The evolution of the free surface is solved with an advanced level set algorithm. This approach incorporates novel methods for representing surface tension and wetting forces that affect the evolution of the free surface. In addition, two commercially available codes, ProCAST and MOLDFLOW, are also used on geometries representing encapsulation processes at the Kansas City Plant. Visual observations of the flow in several geometries are recorded in the laboratory and compared to the models. Wetting properties for the materials in these experiments are measured using a unique flowthrough goniometer.

  6. Wetting of a Chemically Heterogeneous Surface

    SciTech Connect (OSTI)

    Frink, L.J.D.; Salinger, A.G.

    1998-11-20

    Theories for inhomogeneous fluids have focused in recent years on wetting, capillary conden- sation, and solvation forces for model systems where the surface(s) is(are) smooth homogeneous parallel plates, cylinders, or spherical drops. Unfortunately natural systems are more likely to be hetaogeneous both in surt%ce shape and surface chemistry. In this paper we discuss the conse- quences of chemical heterogeneity on wetting. Specifically, a 2-dimensional implementation of a nonlocal density functional theory is solved for a striped surface model. Both the strength and range of the heterogeneity are varied. Contact angles are calculated, and phase transitions (both the wetting transition and a local layering transition) are located. The wetting properties of the surface ase shown to be strongly dependent on the nature of the surface heterogeneity. In addition highly ordered nanoscopic phases are found, and the operational limits for formation of ordered or crystalline phases of nanoscopic extent are discussed.

  7. Texas - RRC District 1 Natural Gas, Wet After Lease Separation...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 1 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  8. Texas - RRC District 6 Natural Gas, Wet After Lease Separation...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 6 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  9. Texas Nonassociated Natural Gas, Wet After Lease Separation,...

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic...

  10. Texas Associated-Dissolved Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  11. Texas - RRC District 8 Natural Gas, Wet After Lease Separation...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 8 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  12. Texas - RRC District 5 Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 5 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  13. MHK Technologies/WET NZ | Open Energy Information

    Open Energy Info (EERE)

    to the MHK database homepage WET NZ.jpg Technology Profile Primary Organization Wave Energy Technology New Zealand WET NZ Technology Resource Click here Wave Technology...

  14. New York Nonassociated Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New York Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  15. New York Natural Gas, Wet After Lease Separation Proved Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) New York Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1...

  16. Wet/dry cooling tower and method

    DOE Patents [OSTI]

    Glicksman, Leon R. (Lynnfield, MA); Rohsenow, Warren R. (Waban, MA)

    1981-01-01

    A wet/dry cooling tower wherein a liquid to-be-cooled is flowed along channels of a corrugated open surface or the like, which surface is swept by cooling air. The amount of the surface covered by the liquid is kept small compared to the dry part thereof so that said dry part acts as a fin for the wet part for heat dissipation.

  17. Coal combustion by wet oxidation. Wet oxidation of coal for energy production: test plan and partial results. Interim report

    SciTech Connect (OSTI)

    Bettinger, J.A.

    1980-07-10

    A test plan has been developed which will provide the data necessary to carry out design and economic studies of a steam generating facility, employing the wet oxidation of coal as a heat source. It is obvious, from the literature search and preliminary testing, that the higher the reaction temperature, the more complete the combustion of coal. However, operation at elevated temperatures and pressures present difficult design problems, and the necessary equipment is costly. Operation under these conditions can only be justified by the higher economic value of high pressure and temperature steam. With a reduction in temperature from 550/sup 0/F (228/sup 0/C) to 450/sup 0/F (232/sup 0/C), the operating pressure is reduced by more than half, thus holding down the overall cost of the system. For this reason, our plan is to study both the enhancement of low temperature wet oxidation of coal, and the higher operating regions. The coal selected for the first portion of this test is an Eastern Appalachian high-volatile-A Bituminous type, from the Upper Clarion seam in Pennsylvania. This coal was selected as being a typical high sulfur, eastern coal. The wet oxidation of coal to produce low pressure steam is a process suited for a high sulfur, low grade, coal. It is not intended that wet oxidation be used in all applications with all types of coals, as it does not appear to be competitive, economically, with conventional combustion, therefore the testing will focus on using high sulfur, low grade coals. In the later portion of testing all the available coals will be tested. In addition, a sample of Minnesota peat will be tested to determine if it also can be used in the process.

  18. Mercury removal in utility wet scrubber using a chelating agent

    DOE Patents [OSTI]

    Amrhein, Gerald T. (Louisville, OH)

    2001-01-01

    A method for capturing and reducing the mercury content of an industrial flue gas such as that produced in the combustion of a fossil fuel or solid waste adds a chelating agent, such as ethylenediaminetetraacetic acid (EDTA) or other similar compounds like HEDTA, DTPA and/or NTA, to the flue gas being scrubbed in a wet scrubber used in the industrial process. The chelating agent prevents the reduction of oxidized mercury to elemental mercury, thereby increasing the mercury removal efficiency of the wet scrubber. Exemplary tests on inlet and outlet mercury concentration in an industrial flue gas were performed without and with EDTA addition. Without EDTA, mercury removal totaled 42%. With EDTA, mercury removal increased to 71%. The invention may be readily adapted to known wet scrubber systems and it specifically provides for the removal of unwanted mercury both by supplying S.sup.2- ions to convert Hg.sup.2+ ions into mercuric sulfide (HgS) and by supplying a chelating agent to sequester other ions, including but not limited to Fe.sup.2+ ions, which could otherwise induce the unwanted reduction of Hg.sup.2+ to the form, Hg.sup.0.

  19. Wet powder seal for gas containment

    DOE Patents [OSTI]

    Stang, Louis G. (Sayville, NY)

    1982-01-01

    A gas seal is formed by a compact layer of an insoluble powder and liquid filling the fine interstices of that layer. The smaller the particle size of the selected powder, such as sand or talc, the finer will be the interstices or capillary spaces in the layer and the greater will be the resulting sealing capacity, i.e., the gas pressure differential which the wet powder layer can withstand. Such wet powder seal is useful in constructing underground gas reservoirs or storage cavities for nuclear wastes as well as stopping leaks in gas mains buried under ground or situated under water. The sealing capacity of the wet powder seal can be augmented by the hydrostatic head of a liquid body established over the seal.

  20. Controllable underwater anisotropic oil-wetting

    SciTech Connect (OSTI)

    Yong, Jiale; Chen, Feng Yang, Qing; Farooq, Umar; Bian, Hao; Du, Guangqing; Hou, Xun

    2014-08-18

    This Letter demonstrates a simple method to achieve underwater anisotropic oil-wetting using silicon surfaces with a microgroove array produced by femtosecond laser ablation. The oil contact angles along the direction perpendicular to the grooves are consistently larger than those parallel to the microgroove arrays in water because the oil droplet is restricted by the energy barrier that exists between the non-irradiated domain and the trapped water in the laser-ablated microgrooves. This underwater anisotropic oil-wetting is able to be controlled, and the anisotropy can be tuned from 0 to ?20 by adjusting the period of the microgroove arrays.

  1. Predictive modeling of reactive wetting and metal joining.

    SciTech Connect (OSTI)

    van Swol, Frank B.

    2013-09-01

    The performance, reproducibility and reliability of metal joints are complex functions of the detailed history of physical processes involved in their creation. Prediction and control of these processes constitutes an intrinsically challenging multi-physics problem involving heating and melting a metal alloy and reactive wetting. Understanding this process requires coupling strong molecularscale chemistry at the interface with microscopic (diffusion) and macroscopic mass transport (flow) inside the liquid followed by subsequent cooling and solidification of the new metal mixture. The final joint displays compositional heterogeneity and its resulting microstructure largely determines the success or failure of the entire component. At present there exists no computational tool at Sandia that can predict the formation and success of a braze joint, as current capabilities lack the ability to capture surface/interface reactions and their effect on interface properties. This situation precludes us from implementing a proactive strategy to deal with joining problems. Here, we describe what is needed to arrive at a predictive modeling and simulation capability for multicomponent metals with complicated phase diagrams for melting and solidification, incorporating dissolutive and composition-dependent wetting.

  2. Indian Centre for Wind Energy Technology C WET | Open Energy...

    Open Energy Info (EERE)

    Centre for Wind Energy Technology C WET Jump to: navigation, search Name: Indian Centre for Wind Energy Technology (C-WET) Place: Chennai, India Zip: 601 302 Sector: Wind energy...

  3. Texas Natural Gas, Wet After Lease Separation Proved Reserves...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2...

  4. Challenges and Opportunities for Wet-Waste Feedstocks - Resource

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Assessment | Department of Energy Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Breakout Session 2-C: Biogas and Beyond: Challenges and Opportunities for Advanced Biofuels from Wet-Waste Feedstocks Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Corinne Drennan, Energy & Environment Directorate, Pacific Northwest National Laboratory PDF icon

  5. Technology Maturation Plan (TMP) Wet Air Oxidation (WAO) Technology for

    Energy Savers [EERE]

    Tank 48H Treatment Project (TTP) | Department of Energy Wet Air Oxidation (WAO) Technology for Tank 48H Treatment Project (TTP) Technology Maturation Plan (TMP) Wet Air Oxidation (WAO) Technology for Tank 48H Treatment Project (TTP) This assessment determines the technology maturity level of the candidate Tank 48H treatment technologies that are being considered for implementation at DOE's SRS - specifically Wet Air Oxidation. PDF icon Technology Maturation Plan (TMP) Wet Air Oxidation (WAO)

  6. Microbial Enhanced Oil Recovery in Fractional-Wet Systems: A Pore-Scale Investigation

    SciTech Connect (OSTI)

    Armstrong, Ryan T.; Wildenschild, Dorthe

    2012-10-24

    Microbial enhanced oil recovery (MEOR) is a technology that could potentially increase the tertiary recovery of oil from mature oil formations. However, the efficacy of this technology in fractional-wet systems is unknown, and the mechanisms involved in oil mobilization therefore need further investigation. Our MEOR strategy consists of the injection of ex situ produced metabolic byproducts produced by Bacillus mojavensis JF-2 (which lower interfacial tension (IFT) via biosurfactant production) into fractional-wet cores containing residual oil. Two different MEOR flooding solutions were tested; one solution contained both microbes and metabolic byproducts while the other contained only the metabolic byproducts. The columns were imaged with X-ray computed microtomography (CMT) after water flooding, and after MEOR, which allowed for the evaluation of the pore-scale processes taking place during MEOR. Results indicate that the larger residual oil blobs and residual oil held under relatively low capillary pressures were the main fractions recovered during MEOR. Residual oil saturation, interfacial curvatures, and oil blob sizes were measured from the CMT images and used to develop a conceptual model for MEOR in fractional-wet systems. Overall, results indicate that MEOR was effective at recovering oil from fractional-wet systems with reported additional oil recovered (AOR) values between 44 and 80%; the highest AOR values were observed in the most oil-wet system.

  7. Wet Chemical Compositional and Near IR Spectra Data Sets for...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Like This Return to Search Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass National Renewable Energy Laboratory Contact NREL About This Technology Technology...

  8. New Mexico Natural Gas Wet After Lease Separation, Reserves in...

    U.S. Energy Information Administration (EIA) Indexed Site

    After Lease Separation, Reserves in Nonproducing Reservoirs (Billion Cubic Feet) New Mexico Natural Gas Wet After Lease Separation, Reserves in Nonproducing Reservoirs (Billion...

  9. ,"New Mexico Nonassociated Natural Gas Proved Reserves, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation",10,"Annual",201...

  10. Challenges and Opportunities for Wet-Waste Feedstocks - Resource...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment Breakout Session 2-C: Biogas and Beyond: Challenges and Opportunities for Advanced Biofuels from ...

  11. ,"Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  12. ,"Texas - RRC District 9 Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 9 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  13. ,"Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  14. ,"Texas - RRC District 10 Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 10 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  15. ,"Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  16. ,"Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  17. ,"Texas - RRC District 7C Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7C Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  18. ,"Texas - RRC District 5 Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 5 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  19. ,"Texas - RRC District 3 Onshore Nonassociated Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 3 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  20. ,"Texas - RRC District 2 Onshore Nonassociated Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 2 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  1. ,"Texas - RRC District 6 Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 6 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  2. ,"Texas - RRC District 1 Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 1 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  3. ,"Texas - RRC District 1 Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 1 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  4. ,"Texas - RRC District 7B Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7B Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  5. ,"Texas - RRC District 3 Onshore Natural Gas, Wet After Lease...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 3 Onshore Natural Gas, Wet After Lease Separation Proved Reserves...

  6. ,"Texas - RRC District 6 Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 6 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  7. ,"Texas Nonassociated Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic...

  8. ,"Texas - RRC District 8 Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  9. ,"Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  10. ,"Texas - RRC District 8 Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  11. ,"Texas - RRC District 4 Onshore Natural Gas, Wet After Lease...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 4 Onshore Natural Gas, Wet After Lease Separation Proved Reserves...

  12. ,"Texas - RRC District 5 Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 5 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  13. ,"Texas Associated-Dissolved Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  14. ,"Texas - RRC District 9 Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 9 Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  15. ,"Texas Natural Gas, Wet After Lease Separation Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  16. ,"Texas - RRC District 8A Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8A Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  17. ,"Texas - RRC District 4 Onshore Nonassociated Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 4 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved...

  18. ,"Texas - RRC District 8 Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  19. ,"Texas - RRC District 10 Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 10 Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  20. ,"West Virginia Natural Gas, Wet After Lease Separation Proved...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  1. ,"West Virginia Associated-Dissolved Natural Gas, Wet After Lease...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  2. ,"West Virginia Nonassociated Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  3. Observation of Ordered Structures in Counterion Layers near Wet...

    Office of Scientific and Technical Information (OSTI)

    Observation of Ordered Structures in Counterion Layers near Wet Charged Surfaces: A Potential Mechanism for Charge Inversion Citation Details In-Document Search Title: Observation ...

  4. ,"California State Offshore Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  5. ,"California State Offshore Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  6. ,"Louisiana State Offshore Nonassociated Natural Gas, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  7. ,"Louisiana State Offshore Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  8. ,"Texas State Offshore Nonassociated Natural Gas, Wet After Lease...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves...

  9. ,"Texas State Offshore Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  10. ,"Texas State Offshore Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  11. ,"New York Natural Gas, Wet After Lease Separation Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic...

  12. ,"New York Nonassociated Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion...

  13. ,"New York Associated-Dissolved Natural Gas, Wet After Lease...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  14. W.E.T. Automotive Systems | Open Energy Information

    Open Energy Info (EERE)

    E.T. Automotive Systems Jump to: navigation, search Name: W.E.T. Automotive Systems Place: Odelzhausen, Germany Information About Partnership with NREL Partnership with NREL Yes...

  15. Kinetics of wet sodium vapor complex plasma

    SciTech Connect (OSTI)

    Mishra, S. K., E-mail: nishfeb@rediffmail.com [Institute for Plasma Research (IPR), Gandhinagar 382428 (India); Sodha, M. S. [Centre of Energy Studies, Indian Institute of Technology Delhi (IITD), New Delhi 110016 (India)] [Centre of Energy Studies, Indian Institute of Technology Delhi (IITD), New Delhi 110016 (India)

    2014-04-15

    In this paper, we have investigated the kinetics of wet (partially condensed) Sodium vapor, which comprises of electrons, ions, neutral atoms, and Sodium droplets (i) in thermal equilibrium and (ii) when irradiated by light. The formulation includes the balance of charge over the droplets, number balance of the plasma constituents, and energy balance of the electrons. In order to evaluate the droplet charge, a phenomenon for de-charging of the droplets, viz., evaporation of positive Sodium ions from the surface has been considered in addition to electron emission and electron/ion accretion. The analysis has been utilized to evaluate the steady state parameters of such complex plasmas (i) in thermal equilibrium and (ii) when irradiated; the results have been graphically illustrated. As a significant outcome irradiated, Sodium droplets are seen to acquire large positive potential, with consequent enhancement in the electron density.

  16. Wet oxidation of high-concentration reactive dyes

    SciTech Connect (OSTI)

    Chen, G.; Lei, L.; Yue, P.L.

    1999-05-01

    Advanced oxidation methods were used to degrade reactive dyes at high concentrations in aqueous solutions. Wet peroxide oxidation (WPO) was found to be the best method in terms of the removal of color and total organic carbon (TOC). Reactive blue (Basilen Brilliant Blue P-3R) was chosen as a model dye for determining the suitable reaction conditions. The variables studied include reaction temperature, H{sub 2}O{sub 2} dosage, solution pH, dye concentration, and catalyst usage. The removal of TOC and color by wet oxidation is very sensitive to the reaction temperature. At 150 C, the removal of 77% TOC and 90% color was obtained in less than 30 min. The initial TOC removal rate is proportional to the H{sub 2}O{sub 2} dosage. The TOC removal is insignificant even when 50% of the stoichiometric amount of H{sub 2}O{sub 2} is used. No color change is observed until the dosage of H{sub 2}O{sub 2} is 100% of the stoichiometric amount. The color removal is closely related to TOC removal. When the pH of the solution is adjusted to 3.5, the dye degradation rate increases significantly. The rates of TOC and color removal are enhanced by using a Cu{sup 2+} catalyst. Another four reactive dyes, Procion Red PX-4B, Cibacron Yellow P-6GS, Cibacron Brown P-6R, and Procion Black PX-2R, were treated at 150 C using WPO. More than 80% TOC was removed from the solution in less than 15 min. The process can remove the colors of al these dyes except Procion Black PX-2R.

  17. Environmental aspects of alternative wet technologies for producing energy/fuel from peat. Final report

    SciTech Connect (OSTI)

    Smith, R.T.

    1981-05-01

    Peat in situ contains up to 90% moisture, with about 50% of this moisture trapped as a colloidal gel. This colloidal moisture cannot be removed by conventional dewatering methods (filter presses, etc.) and must be removed by thermal drying, solvent extraction, or solar drying before the peat can be utilized as a fuel feedstock for direct combustion or gasification. To circumvent the drying problem, alternative technologies such as wet oxidation, wet carbonization, and biogasification are possible for producing energy or enhanced fuel from peat. This report describes these three alternative technologies, calculates material balances for given raw peat feed rates of 1000 tph, and evaluates the environmental consequences of all process effluent discharges. Wastewater discharges represent the most significant effluent due to the relatively large quantities of water removed during processing. Treated process water returned to the harvested bog may force in situ, acidic bog water into recieving streams, disrupting local aquatic ecosystems.

  18. Method for wetting a boron alloy to graphite

    DOE Patents [OSTI]

    Storms, E.K.

    1987-08-21

    A method is provided for wetting a graphite substrate and spreading a a boron alloy over the substrate. The wetted substrate may be in the form of a needle for an effective ion emission source. The method may also be used to wet a graphite substrate for subsequent joining with another graphite substrate or other metal, or to form a protective coating over a graphite substrate. A noneutectic alloy of boron is formed with a metal selected from the group consisting of nickel (Ni), palladium (Pd), and platinum (Pt) with excess boron, i.e., and atomic percentage of boron effective to precipitate boron at a wetting temperature of less than the liquid-phase boundary temperature of the alloy. The alloy is applied to the substrate and the graphite substrate is then heated to the wetting temperature and maintained at the wetting temperature for a time effective for the alloy to wet and spread over the substrate. The excess boron is evenly dispersed in the alloy and is readily available to promote the wetting and spreading action of the alloy. 1 fig.

  19. Lipid Extraction from Wet-Algae for Biofuel Production - Energy Innovation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Portal Biomass and Biofuels Biomass and Biofuels Advanced Materials Advanced Materials Find More Like This Return to Search Lipid Extraction from Wet-Algae for Biofuel Production University of Colorado Contact CU About This Technology Technology Marketing SummaryThere is a growing interest in algal biofuels; however, current methods of a thermal separation process for solvent mixtures involve concomitant issues and increased energy consumption. A research team at the University of Colorado

  20. Technology Maturation Plan (TMP) Wet Air Oxidation (WAO) Technology...

    Office of Environmental Management (EM)

    ... Design flow rate was 12 gpm. The reactors were operated at 7 LWO-SPT-2007-00084 - Davis, ... Wet Air Oxidation (WAO) Plant at Texas Molecular Site, Deerpark, TX, Revision 0, ...

  1. MHK Technologies/WET EnGen | Open Energy Information

    Open Energy Info (EERE)

    Test of Wave Energy Technologies Moored Floating WET EnGen: Regular and Irregular Waves. TR-2009-13, Fraser Winsor and Emile Baddour, June 2009. Date Submitted 1082010 << Return...

  2. Texas - RRC District 2 Onshore Natural Gas, Wet After Lease Separation...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 2 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)...

  3. Texas - RRC District 7B Natural Gas, Wet After Lease Separation...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 7B Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  4. Texas - RRC District 4 Onshore Natural Gas, Wet After Lease Separation...

    Gasoline and Diesel Fuel Update (EIA)

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 4 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)...

  5. Texas - RRC District 3 Onshore Natural Gas, Wet After Lease Separation...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 3 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)...

  6. Texas - RRC District 7C Natural Gas, Wet After Lease Separation...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 7C Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade...

  7. New York Associated-Dissolved Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New York Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves...

  8. Energy efficiency improvement and cost saving opportunities for the Corn Wet Milling Industry: An ENERGY STAR Guide for Energy and Plant Managers

    SciTech Connect (OSTI)

    Galitsky, Christina; Worrell, Ernst; Ruth, Michael

    2003-07-01

    Corn wet milling is the most energy intensive industry within the food and kindred products group (SIC 20), using 15 percent of the energy in the entire food industry. After corn, energy is the second largest operating cost for corn wet millers in the United States. A typical corn wet milling plant in the United States spends approximately $20 to $30 million per year on energy, making energy efficiency improvement an important way to reduce costs and increase predictable earnings, especially in times of high energy-price volatility. This report shows energy efficiency opportunities available for wet corn millers. It begins with descriptions of the trends, structure and production of the corn wet milling industry and the energy used in the milling and refining process. Specific primary energy savings for each energy efficiency measure based on case studies of plants and references to technical literature are provided. If available, typical payback periods are also listed. The report draws upon the experiences of corn, wheat and other starch processing plants worldwide for energy efficiency measures. The findings suggest that given available resources and technology, there are opportunities to reduce energy consumption cost-effectively in the corn wet milling industry while maintaining the quality of the products manufactured. Further research on the economics of the measures, as well as the applicability of these to different wet milling practices, is needed to assess the feasibility of implementation of selected technologies at individual plants.

  9. Nebraska Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) No Data Available For This Series - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Associated-Dissolved Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31 Nebraska Associated-Dissolved Natural

  10. Nebraska Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Nebraska Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) No Data Available For This Series - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Nonassociated Natural Gas Proved Reserves,

  11. Observation of Ordered Structures in Counterion Layers near Wet Charged

    Office of Scientific and Technical Information (OSTI)

    Surfaces: A Potential Mechanism for Charge Inversion (Journal Article) | SciTech Connect Observation of Ordered Structures in Counterion Layers near Wet Charged Surfaces: A Potential Mechanism for Charge Inversion Citation Details In-Document Search Title: Observation of Ordered Structures in Counterion Layers near Wet Charged Surfaces: A Potential Mechanism for Charge Inversion Authors: Miller, Mitchell ; Chu, Miaoqi ; Lin, Binhua ; Meron, Mati ; Dutta, Pulak [1] ; NWU) [2] + Show Author

  12. Catalytic Hydrothermal Gasification of Wet Biomass Feedstock

    SciTech Connect (OSTI)

    None

    2006-04-01

    Industries and municipalities generate substantial amounts of biomass as high-moisture waste streams, such as animal manure, food processing sludge, stillage from ethanol production, and municipal wastewater sludge.

  13. Pilot Testing of Mercury Oxidation Catalysts for Upstream of Wet FGD Systems

    SciTech Connect (OSTI)

    Gary Blythe; Conor Braman; Katherine Dombrowski; Tom Machalek

    2010-12-31

    This document is the final technical report for Cooperative Agreement DE-FC26-04NT41992, 'Pilot Testing of Mercury Oxidation Catalysts for Upstream of Wet FGD Systems,' which was conducted over the time-period January 1, 2004 through December 31, 2010. The objective of this project has been to demonstrate at pilot scale the use of solid catalysts and/or fixed-structure mercury sorbents to promote the removal of total mercury and oxidation of elemental mercury in flue gas from coal combustion, followed by wet flue gas desulfurization (FGD) to remove the oxidized mercury at high efficiency. The project was co-funded by the U.S. DOE National Energy Technology Laboratory (DOE-NETL), EPRI, Great River Energy (GRE), TXU Energy (now called Luminant), Southern Company, Salt River Project (SRP) and Duke Energy. URS Group was the prime contractor. The mercury control process under development uses fixed-structure sorbents and/or catalysts to promote the removal of total mercury and/or oxidation of elemental mercury in the flue gas from coal-fired power plants that have wet lime or limestone FGD systems. Oxidized mercury not adsorbed is removed in the wet FGD absorbers and leaves with the byproducts from the FGD system. The project has tested candidate materials at pilot scale and in a commercial form, to provide engineering data for future full-scale designs. Pilot-scale catalytic oxidation tests have been completed for periods of approximately 14 to19 months at three sites, with an additional round of pilot-scale fixed-structure sorbent tests being conducted at one of those sites. Additionally, pilot-scale wet FGD tests have been conducted downstream of mercury oxidation catalysts at a total of four sites. The sites include the two of three sites from this project and two sites where catalytic oxidation pilot testing was conducted as part of a previous DOE-NETL project. Pilot-scale wet FGD tests were also conducted at a fifth site, but with no catalyst or fixed-structure mercury sorbent upstream. This final report presents and discusses detailed results from all of these efforts, and makes a number of conclusions about what was learned through these efforts.

  14. Molecular dynamics of wetting layer formation and forced water invasion in angular nanopores with mixed wettability

    SciTech Connect (OSTI)

    Sedghi, Mohammad Piri, Mohammad; Goual, Lamia

    2014-11-21

    The depletion of conventional hydrocarbon reservoirs has prompted the oil and gas industry to search for unconventional resources such as shale gas/oil reservoirs. In shale rocks, considerable amounts of hydrocarbon reside in nanoscale pore spaces. As a result, understanding the multiphase flow of wetting and non-wetting phases in nanopores is important to improve oil and gas recovery from these formations. This study was designed to investigate the threshold capillary pressure of oil and water displacements in a capillary dominated regime inside nanoscale pores using nonequilibrium molecular dynamics (NEMD) simulations. The pores have the same cross-sectional area and volume but different cross-sectional shapes. Oil and water particles were represented with a coarse grained model and the NEMD simulations were conducted by assigning external pressure on an impermeable piston. Threshold capillary pressures were determined for the drainage process (water replaced by oil) in different pores. The molecular dynamics results are in close agreements with calculations using the Mayer-Stowe-Princen (MS-P) method which has been developed on the premise of energy balance in thermodynamic equilibrium. After the drainage simulations, a change in wall particles wettability from water-wet to oil-wet was implemented based on the final configuration of oil and water inside the pore. Waterflooding simulations were then carried out at the threshold capillary pressure. The results show that the oil layer formed between water in the corner and in the center of the pore is not stable and collapses as the simulation continues. This is in line with the predictions from the MS-P method.

  15. Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14 1980's 34 12 27 31 14 25 41 13 28 39 1990's 22 14 11 9 11 32 28 31 17 54 2000's 19 19 20 14 12 14 19 15 9 78 2010's 10 104 7 19 18 - = No

  16. Miscellaneous States Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Miscellaneous States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 156 1980's 180 193 74 81 77 77 136 66 84 87 1990's 72 76 93 96 67 69 68 44 39 67 2000's 42 83 100 134 110 132 139 241 272 349 2010's 363 393 233 188 185 - = No Data Reported; -- = Not Applicable; NA = Not Available;

  17. Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 142 1980's 146 181 47 50 63 52 95 53 56 48 1990's 50 62 82 87 56 37 40 13 22 13 2000's 23 64 80 120 98 118 120 226 263 271 2010's 353 270 219 169 167 - = No Data

  18. Mississippi Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Mississippi Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 67 1980's 73 66 74 80 114 105 66 61 71 105 1990's 126 108 85 53 43 27 47 51 47 31 2000's 35 26 33 27 20 20 21 30 45 38 2010's 36 62 62 43 58 - = No Data Reported; --

  19. Montana Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Montana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 51 1980's 122 89 81 108 77 91 98 97 101 68 1990's 86 66 61 53 55 53 51 42 52 67 2000's 70 85 94 112 130 161 195 219 197 312 2010's 302 270 289 304 325 - = No Data

  20. Montana Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Montana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 786 1980's 1,186 1,247 789 813 748 793 725 704 733 821 1990's 834 782 814 631 672 739 755 727 737 784 2000's 822 822 820 956 872 837 874 848 817 681 2010's 657 522 327 286 361 - = No Data

  1. Florida Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Florida Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 108 1980's 122 99 86 64 90 81 69 62 69 57 1990's 53 45 55 59 117 110 119 112 106 100 2000's 93 96 102 92 88 87 50 110 1 7 2010's 30 2 0 1 0 - = No Data Reported; -- =

  2. Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 108 1980's 122 99 86 64 90 81 69 62 69 57 1990's 53 45 55 59 117 110 119 112 106 100 2000's 93 96 102 92 88 87 50 110 1 7 2010's 56 6 16 15 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  3. Florida Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Florida Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 26 4 16 14 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  4. Kentucky Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kentucky Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2 1980's 11 14 12 19 17 13 17 19 19 22 1990's 8 10 8 6 47 27 24 26 20 29 2000's 27 25 25 25 19 30 36 34 34 32 2010's 111 98 93 44 49 - = No Data Reported; -- = Not

  5. Louisiana - North Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - North Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 765 1980's 916 1,040 832 775 690 632 567 488 249 237 1990's 241 192 160 120 134 133 255 287 183 260 2000's 186 168 159 139 107 98 90 73 78 53

  6. Louisiana State Offshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,269 1,351 1,478 1,209 1,273 1990's 1,019 1,082 845 946 988 862 783 743 571 661 2000's 721 772 512 527 394 433 442 392 934 728 2010's 386 519 519 420 341 - = No Data Reported; -- = Not Applicable; NA = Not

  7. Louisiana State Offshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,820 1,100 1,218 1,002 1,042 1990's 812 875 691 789 820 714 626 613 473 541 2000's 592 627 428 448 333 370 386 327 248 215 2010's 279 468 391 332 273 - =

  8. Michigan Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Michigan Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 733 1980's 883 758 719 824 774 689 577 569 491 432 1990's 408 437 352 328 357 326 347 281 228 227 2000's 214 159 214 269 193 153 192 179 148 77 2010's 72 77 94 125 108

  9. Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 13 1980's 23 25 1990's 25 23 30 46 56 44 38 30 28 27 2000's 29 26 31 32 32 29 18 20 19 29 2010's 38 48 100 46 141 - = No Data Reported; -- = Not Applicable; NA = Not

  10. Arkansas Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Arkansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 166 1980's 194 184 174 194 189 157 150 145 157 145 1990's 67 136 133 93 85 104 89 56 38 41 2000's 39 30 38 37 40 46 44 37 12 20 2010's 29 46 82 135 189 - = No Data

  11. California - Coastal Region Onshore Associated-Dissolved Natural Gas, Wet

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - Coastal Region Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 307 1980's 265 265 325 344 256 254 261 243 220 233 1990's 228 220 196 135 145 109 120 129 116 233 2000's 244 185 197

  12. California - Coastal Region Onshore Natural Gas, Wet After Lease Separation

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California - Coastal Region Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 395 1980's 330 325 384 405 284 277 275 255 232 238 1990's 232 231 215 201 205 163 168 176 118 233 2000's 244 185 197 174 196 277 214 212 151 169 2010's 180 173 305 284 277 - = No Data Reported;

  13. California - Coastal Region Onshore Nonassociated Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - Coastal Region Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88 1980's 65 60 59 61 28 23 14 12 12 5 1990's 4 11 19 66 60 54 48 47 2 0 2000's 0 0 0 1 8 8 6 1 1 1 2010's 2 1 2 2 8 - = No Data

  14. California - Los Angeles Basin Onshore Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California - Los Angeles Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 176 1980's 207 163 104 115 163 188 149 155 158 141 1990's 110 120 103 108 108 115 112 146 154 174 2000's 204 195 218 196 184 186 161 154 81 91 2010's 92 102 98 90 84 - = No Data

  15. California - Los Angeles Basin Onshore Nonassociated Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - Los Angeles Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1 1980's 0 1 1 1 1 3 0 0 0 0 1990's 0 0 3 0 0 0 0 3 1 0 2000's 1 1 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not

  16. California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,784 1980's 1,721 1,566 1,593 1,556 1,538 1,642 1,398 1,196 1,086 972 1990's 901 885 773 749 744 679 560 518 445 336 2000's 748 836

  17. California Federal Offshore Associated-Dissolved Natural Gas, Wet After

    Gasoline and Diesel Fuel Update (EIA)

    Lease Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 249 1980's 307 1,110 1,249 1,312 1,252 1990's 1,229 995 987 976 1,077 1,195 1,151 498 437 488 2000's 500 490 459 456 412 776 756

  18. California Federal Offshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Federal Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 73 1980's 107 227 217 258 267 1990's 240 179 149 147 110 94 115 58 52 48 2000's 76 50 56 55 47 49 55 53 3 9 2010's 3 0 0 0 0 - = No Data Reported; -- =

  19. California Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,881 1980's 1,792 1,424 1,230 1,120 1,006 1990's 911 901 799 817 808 736 610 570 453 355 2000's 754 842 796 759 767 799 780 686 621 612 2010's 503 510 272 247 273 - = No Data Reported;

  20. California State Offshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 234 1980's 166 256 254 243 235 1990's 194 60 63 65 63 59 49 56 44 77 2000's 91 85 91 83 87 90 90 83 57 57 2010's 66 82 66 75 76 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  1. California State Offshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 8 1980's 6 12 22 22 29 1990's 6 5 4 2 4 3 2 2 5 19 2000's 5 5 6 7 2 1 5 4 3 4 2010's 3 3 1 0 0 - = No Data Reported; -- = Not Applicable; NA = Not

  2. Texas - RRC District 9 Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 9 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 633 1980's 502 796 965 845 786 753 761 717 686 617 1990's 703 674 613 636 715 730 749 785 665 1,180 2000's 1,645 2,428 3,070 3,514 4,445 4,608 6,660 7,846

  3. Texas State Offshore Natural Gas, Wet After Lease Separation Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas State Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,112 1,073 739 634 564 610 1990's 461 477 350 337 230 313 293 290 350 419 2000's 400 468 436 456 321 265 305 261 220 164 2010's 131 118 94 59 42 - = No Data Reported; -- = Not Applicable; NA = Not

  4. Texas State Offshore Nonassociated Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas State Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,087 1,049 715 624 544 591 1990's 444 469 343 333 227 306 287 280 345 413 2000's 399 466 431 450 312 262 304 258 215 161 2010's 128 113 88 56 42 - = No Data Reported; --

  5. North Dakota Natural Gas, Wet After Lease Separation Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) North Dakota Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 485 1980's 594 654 696 673 643 650 610 578 593 625 1990's 650 533 567 585 568 518 512 531 501 475 2000's 487 495 524 497 465 508 539 572 603 1,213 2010's 1,869 2,652 3,974 6,081 6,787 - = No Data Reported; -- = Not Applicable; NA =

  6. North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 284 1980's 355 401 448 416 376 319 317 302 327 312 1990's 316 290 301 311 293 255 257 274 240 225 2000's 223 225 209 181 145 165 182 155 119 143 2010's 152 141 105 91 45 - = No Data

  7. Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 432 1980's 282 165 158 396 364 395 522 477 749 686 1990's 844 805 780 763 780 699 715 594 548 777 2000's 717 631 772 823 767 714 801 926 886 799 2010's 742 684 1,012 2,887 6,985 - = No Data Reported; --

  8. Pennsylvania Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Pennsylvania Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 9 1980's 11 14 14 21 78 67 22 21 8 19 1990's 23 20 10 8 9 36 47 92 79 96 2000's 157 168 137 164 125 134 151 130 127 133 2010's 144 134 125 269 299 - = No Data

  9. Wyoming Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Wyoming Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,038 1980's 1,374 1,228 1,060 959 867 710 691 691 616 581 1990's 573 572 624 502 611 879 824 850 794 713 2000's 652 488 561 450 362 384 347 365 223 362 2010's 334 318

  10. Catalytic cracking process

    DOE Patents [OSTI]

    Lokhandwala, Kaaeid A. (Union City, CA); Baker, Richard W. (Palo Alto, CA)

    2001-01-01

    Processes and apparatus for providing improved catalytic cracking, specifically improved recovery of olefins, LPG or hydrogen from catalytic crackers. The improvement is achieved by passing part of the wet gas stream across membranes selective in favor of light hydrocarbons over hydrogen.

  11. SPONTANEOUS CATALYTIC WET AIR OXIDATION DURING PRE-TREATMENT OF HIGH-LEVEL RADIOACTIVE WASTE SLUDGE

    SciTech Connect (OSTI)

    Koopman, D.; Herman, C.; Pareizs, J.; Bannochie, C.; Best, D.; Bibler, N.; Fellinger, T.

    2009-10-01

    Savannah River Remediation, LLC (SRR) operates the Defense Waste Processing Facility for the U.S. Department of Energy at the Savannah River Site. This facility immobilizes high-level radioactive waste through vitrification following chemical pretreatment. Catalytic destruction of formate and oxalate ions to carbon dioxide has been observed during qualification testing of non-radioactive analog systems. Carbon dioxide production greatly exceeded hydrogen production, indicating the occurrence of a process other than the catalytic decomposition of formic acid. Statistical modeling was used to relate the new reaction chemistry to partial catalytic wet air oxidation of both formate and oxalate ions driven by the low concentrations of palladium, rhodium, and/or ruthenium in the waste. Variations in process conditions led to increases or decreases in the total oxidative destruction, as well as partially shifting the preferred species undergoing destruction from oxalate ion to formate ion.

  12. Recovery of aluminum oxide by the Ames lime-soda sinter process: scale-up using a rotary kiln

    SciTech Connect (OSTI)

    Murtha, M.J.; Burnet, G.; Harnby, N.

    1985-01-01

    The Ames Lime-Soda Sinter Process provides a means for recovering aluminum oxide from power plant fly ash while producing a residue that can be used in the manufacture of sulfate resistant (Type V) portland cement. The process has been fully researched and its feasibility is now being demonstrated through pilot plant scale investigation. This paper reports results of the pelletized feed preparation by agglomeration in a rotary pan granulator, continuous feed sintering in an electrically heated rotary kiln, and product recovery from the clinker by aqueous extraction, desilication of the filtrate, and precipitation of a hydrated aluminum oxide. Results from earlier bench-scale research have been found to apply consistently to the pilot plant scale work.

  13. Development of a two-body wet abrasion test method with attention...

    Office of Scientific and Technical Information (OSTI)

    wet abrasion test method with attention to the effects of reused abradant Citation Details In-Document Search Title: Development of a two-body wet abrasion test method with ...

  14. Mississippi Natural Gas, Wet After Lease Separation Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Mississippi Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,511 1980's 1,776 2,042 1,803 1,603 1,496 1,364 1,304 1,223 1,146 1,108 1990's 1,129 1,061 873 800 653 667 634 583 662 681 2000's 620 663 746 748 692 758 816 958 1,035 922 2010's 858 868 612 600 563 - = No Data Reported; -- = Not

  15. Mississippi Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Mississippi Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,444 1980's 1,703 1,976 1,729 1,523 1,382 1,259 1,238 1,162 1,075 1,003 1990's 1,003 953 788 747 610 640 587 532 615 650 2000's 585 637 713 721 672 738 795 928 990 884 2010's 822 806

  16. Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 837 1980's 1,308 1,336 870 921 825 884 823 801 834 889 1990's 920 848 875 684 727 792 806 769 789 851 2000's 892 907 914 1,068 1,002 998 1,069 1,067 1,014 993 2010's 959 792 616 590 686 - = No Data Reported; -- = Not Applicable; NA = Not

  17. Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,838 1980's 3,170 3,228 3,551 3,373 3,140 3,095 3,198 3,131 3,749 4,526 1990's 4,759 6,011 6,463 6,979 7,036 7,592 8,064 7,160 8,208 9,372 2000's 10,837 12,949 14,348 15,893 15,249 17,122 17,682 22,480 24,169 24,081 2010's 25,372 26,151 21,674

  18. Colorado Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Colorado Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,657 1980's 2,970 2,969 3,345 3,200 2,932 2,928 3,008 2,912 3,572 4,290 1990's 4,249 5,329 5,701 5,817 5,948 6,520 7,009 6,627 7,436 8,591 2000's 9,877 11,924 13,251 14,707 13,956 15,796

  19. Gulf of Mexico Federal Offshore - Texas Nonassociated Natural Gas, Wet

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,411 6,191 6,956 6,739 6,745 6,504 1990's 6,884 6,305 6,353 6,138 5,739 5,674 5,240 4,799 4,452 4,507 2000's 5,030 5,404 4,967

  20. Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10,824 1980's 10,065 10,443 10,128 10,183 9,981 9,844 11,093 11,089 10,530 10,509 1990's 10,004 9,946 10,302 9,872 9,705 9,093 8,145 7,328 6,862 6,248 2000's 5,682 5,460 5,329 5,143 5,003 4,598 4,197 4,248 3,795 3,500 2010's 3,937 3,747 3,557

  1. Kansas Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10,657 1980's 9,880 10,304 10,016 10,051 9,871 9,729 10,961 10,974 10,427 10,408 1990's 9,890 9,831 10,208 9,779 9,630 9,026 8,063 7,277 6,802 6,196 2000's 5,641 5,355 5,263 5,058 4,923 4,515

  2. Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 504 1980's 536 561 592 600 647 806 883 940 957 1,015 1990's 1,047 1,187 1,126 1,036 1,025 1,102 1,046 1,429 1,295 1,530 2000's 1,837 1,950 1,999 1,971 1,982 2,240 2,369 2,588 2,846 2,919 2010's 2,785 2,128 1,515 1,794 1,753 - = No Data Reported;

  3. Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 502 1980's 525 547 580 581 630 793 866 921 938 993 1990's 1,039 1,177 1,118 1,030 978 1,075 1,022 1,403 1,275 1,501 2000's 1,810 1,925 1,974 1,946 1,963 2,210 2,333 2,554 2,812 2,887 2010's

  4. Louisiana - North Natural Gas, Wet After Lease Separation Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana - North Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,869 1980's 3,160 3,358 2,988 3,008 2,546 2,650 2,567 2,350 2,442 2,705 1990's 2,640 2,435 2,363 2,376 2,599 2,863 3,189 3,156 2,943 3,127 2000's 3,344 3,927 4,283 5,137 5,841 6,768 6,795 6,437 7,966 17,273 2010's 26,136

  5. Louisiana - North Nonassociated Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) North Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - North Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,104 1980's 2,244 2,318 2,156 2,233 1,856 2,018 2,000 1,862 2,193 2,468 1990's 2,399 2,243 2,203 2,256 2,465 2,730 2,934 2,869 2,760 2,867 2000's 3,158 3,759 4,124

  6. Louisiana - South Onshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana - South Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,580 1980's 13,407 13,049 12,153 11,553 10,650 10,120 9,416 9,024 8,969 8,934 1990's 8,492 7,846 7,019 6,219 6,558 6,166 6,105 6,137 5,966 5,858 2000's 5,447 5,341 4,395 3,874 3,557 3,478 3,473 3,463 2,916

  7. Louisiana - South Onshore Nonassociated Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - South Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,276 1980's 11,273 11,178 10,364 9,971 9,162 8,328 7,843 7,644 7,631 7,661 1990's 7,386 6,851 6,166 5,570 5,880 5,446 5,478 5,538 5,336 5,259 2000's

  8. Louisiana Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,360 2,391 2,128 1,794 1,741 1990's 1,554 1,394 1,167 926 980 1,001 1,039 1,016 911 979 2000's 807 796 670 586 557 588 561 641 1,235 1,072 2010's 679 639 773 870 908

  9. Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 19,676 13,334 12,852 12,620 12,912 1990's 12,151 11,363 10,227 9,541 10,145 9,891 10,077 10,036 9,480 9,646 2000's 9,512 10,040 9,190 9,538 9,792 10,679 10,710 10,292 11,816 20,970 2010's 29,517 30,545 22,135 20,389 23,258 - = No Data Reported;

  10. Louisiana Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 16,316 10,943 10,724 10,826 11,171 1990's 10,597 9,969 9,060 8,615 9,165 8,890 9,038 9,020 8,569 8,667 2000's 8,704 9,245 8,520 8,952 9,235 10,091 10,149 9,651 10,581 19,898 2010's 28,838

  11. Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 143,852 1980's 139,421 143,515 142,984 143,469 141,226 138,464 139,070 135,256 141,211 139,798 1990's 141,941 140,584 138,883 136,953 138,213 139,369 141,136 140,382 139,015

  12. Michigan Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Michigan Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 601 1980's 668 494 481 529 419 375 665 1,002 943 1,011 1990's 922 967 938 890 1,022 1,018 1,778 1,975 2,158 2,086 2000's 2,558 2,873 3,097 3,219 2,961 2,808 2,925 3,512 3,105 2,728 2010's

  13. Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 693 1980's 682 683 1990's 4,184 5,460 5,870 5,212 4,898 4,930 5,100 5,013 4,643 4,365 2000's 4,269 3,958 3,922 4,345 4,159 4,006 3,963 4,036 3,379 2,948 2010's 2,724 2,570 2,304 1,670 2,121 - = No Data Reported; -- = Not Applicable; NA = Not

  14. Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 680 1980's 659 658 1990's 4,159 5,437 5,840 5,166 4,842 4,886 5,062 4,983 4,615 4,338 2000's 4,241 3,931 3,891 4,313 4,127 3,977 3,945 4,016 3,360 2,919 2010's 2,686 2,522 2,204 1,624 1,980

  15. Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 32,275 1980's 33,395 33,049 35,002 34,291 34,476 34,223 33,355 33,715 9,179 9,019 1990's 9,393 9,653 9,725 9,986 9,813 9,575 9,296 10,673 10,043 9,855 2000's 9,331 8,901 8,533 8,348 8,473 8,237 10,333 12,022 7,766 9,183 2010's 8,917 9,511 9,667

  16. Alaska Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alaska Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,058 1980's 4,828 4,373 4,188 3,883 4,120 3,131 2,462 2,983 2,910 2,821 1990's 2,466 2,924 3,002 3,492 3,326 3,310 3,216 2,957 2,768 2,646 2000's 2,564 2,309 2,157 2,081 2,004 1,875 1,447

  17. Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,725 1980's 1,796 1,821 1,974 2,081 2,240 2,032 2,011 2,018 2,000 1,782 1990's 1,739 1,672 1,752 1,555 1,610 1,566 1,472 1,479 1,332 1,546 2000's 1,584 1,619 1,654 1,666 1,837 1,967 2,271 3,306 5,628 10,872 2010's 14,181 16,374 11,039 13,524

  18. Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,559 1980's 1,602 1,637 1,800 1,887 2,051 1,875 1,861 1,873 1,843 1,637 1990's 1,672 1,536 1,619 1,462 1,525 1,462 1,383 1,423 1,294 1,505 2000's 1,545 1,589 1,616 1,629 1,797 1,921 2,227

  19. California - San Joaquin Basin Onshore Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California - San Joaquin Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,037 1980's 4,434 4,230 4,058 3,964 3,808 3,716 3,404 3,229 3,033 2,899 1990's 2,775 2,703 2,511 2,425 2,130 2,018 1,864 2,012 2,016 2,021 2000's 2,413 2,298 2,190 2,116 2,306

  20. California Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,961 1980's 3,345 2,660 2,663 2,546 2,507 1990's 2,400 2,213 2,093 1,982 1,698 1,619 1,583 1,820 1,879 2,150 2000's 2,198 1,922 1,900 1,810 2,006 2,585 2,155 2,193

  1. California Federal Offshore Natural Gas, Wet After Lease Separation Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California Federal Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 322 1980's 414 1,337 1,466 1,570 1,519 1990's 1,469 1,174 1,136 1,123 1,187 1,289 1,266 556 489 536 2000's 576 540 515 511 459 825 811 805 705 740 2010's 725 711 652 264 243 - = No Data Reported; -- = Not

  2. California Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) California Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,842 1980's 5,137 4,084 3,893 3,666 3,513 1990's 3,311 3,114 2,892 2,799 2,506 2,355 2,193 2,390 2,332 2,505 2000's 2,952 2,763 2,696 2,569 2,773 3,384 2,935 2,879 2,538 2,926 2010's 2,785 3,042 2,119 2,023 2,260 - = No Data Reported; -- =

  3. Colorado Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Colorado Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 181 1980's 200 259 206 173 208 167 190 219 177 236 1990's 510 682 762 1,162 1,088 1,072 1,055 533 772 781 2000's 960 1,025 1,097 1,186 1,293 1,326 1,541 1,838 2,010

  4. Texas - RRC District 1 Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 1 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 732 1980's 683 870 708 960 714 754 716 639 1,002 1,037 1990's 744 660 606 540 586 498 523 950 1,101 1,165 2000's 1,037 1,024 1,047 1,047 1,184 1,148 1,048

  5. Texas - RRC District 10 Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 10 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 10 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6,805 1980's 6,381 6,264 6,242 5,948 5,443 5,484 5,320 5,030 4,876 4,849 1990's 4,608 4,763 4,463 4,214 4,405 4,656 4,592 4,386 4,510 4,447 2000's 4,143

  6. Texas - RRC District 5 Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 5 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 5 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,127 1980's 1,117 1,265 1,322 1,477 1,911 2,100 2,169 2,106 1,989 1,789 1990's 1,835 1,841 1,692 1,790 1,926 1,876 2,088 1,681 1,906 2,301 2000's 3,089

  7. Texas - RRC District 6 Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 6 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 6 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,710 1980's 3,622 3,653 3,749 4,279 4,087 4,274 4,324 4,151 4,506 5,201 1990's 5,345 4,856 4,987 5,170 5,131 5,425 5,690 5,616 5,691 5,562 2000's 5,901

  8. Texas - RRC District 8 Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 8 Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 8,073 1980's 7,216 6,620 6,084 6,064 5,362 5,246 5,254 4,973 4,738 4,403 1990's 4,323 4,023 3,792 3,569 3,267 3,218 3,069 2,886 2,727 2,947 2000's 3,345

  9. New Mexico - East Nonassociated Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) East Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico - East Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,634 1980's 2,266 2,377 2,331 2,214 2,117 2,001 1,750 1,901 2,030 2,131 1990's 2,290 2,073 1,948 1,860 1,791 1,648 1,612 1,694 1,694 1,880 2000's 2,526 2,571 2,632

  10. New Mexico - West Nonassociated Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) - West Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico - West Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 9,934 1980's 10,001 10,536 9,231 8,654 8,341 7,947 9,344 9,275 15,000 13,088 1990's 14,804 16,131 16,854 16,494 15,156 15,421 14,620 13,586 13,122 13,292 2000's

  11. New Mexico Nonassociated Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,568 1980's 12,267 12,913 11,562 10,868 10,458 9,948 11,094 11,176 17,030 15,219 1990's 17,094 18,204 18,802 18,354 16,947 17,069 16,232 15,280 14,816 15,172 2000's 16,922 17,112 16,971

  12. Oklahoma Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Oklahoma Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,246 1980's 2,252 2,441 2,426 2,269 2,244 2,149 2,191 2,017 1,894 1,785 1990's 1,820 1,406 1,483 1,550 1,342 1,228 1,023 1,015 1,196 1,238 2000's 1,113 1,109 1,177

  13. Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,545 1980's 13,908 15,507 17,140 17,261 17,102 17,078 17,779 17,703 17,450 16,733 1990's 16,967 15,518 14,732 14,099 14,323 14,295 13,952 14,311 14,517 13,490 2000's 14,543 14,366 15,753 16,231 17,200 18,146 18,535 20,184 22,113 24,207 2010's

  14. Oklahoma Nonassociated Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Oklahoma Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,299 1980's 11,656 13,066 14,714 14,992 14,858 14,929 15,588 15,686 15,556 14,948 1990's 15,147 14,112 13,249 12,549 12,981 13,067 12,929 13,296 13,321 12,252 2000's 13,430 13,256 14,576

  15. Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,516 1980's 951 1,265 1,430 1,882 1,576 1,618 1,562 1,650 2,074 1,644 1990's 1,722 1,631 1,533 1,722 1,806 1,488 1,702 1,861 1,848 1,780 2000's 1,740 1,782 2,225 2,497 2,371 2,793 3,064 3,377 3,594 7,018 2010's 14,068 26,719 36,543

  16. Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,507 1980's 940 1,251 1,416 1,861 1,498 1,551 1,540 1,629 2,066 1,625 1990's 1,699 1,611 1,523 1,714 1,797 1,452 1,655 1,769 1,769 1,684 2000's 1,583 1,614 2,088 2,333 2,246 2,659

  17. Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7,834 1980's 9,413 9,659 10,155 10,728 11,014 11,229 10,393 10,572 10,903 11,276 1990's 10,433 10,433 11,305 11,387 11,351 12,712 13,084 14,321 14,371 14,809 2000's 17,211 19,399 21,531 22,716 23,640 24,722 24,463 30,896 32,399 36,748 2010's

  18. Wyoming Nonassociated Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Wyoming Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6,796 1980's 8,039 8,431 9,095 9,769 10,147 10,519 9,702 9,881 10,287 10,695 1990's 9,860 9,861 10,681 10,885 10,740 11,833 12,260 13,471 13,577 14,096 2000's 16,559 18,911 20,970 22,266

  19. Utah Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Utah Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 650 1980's 870 1,722 1,928 2,112 1,984 1,897 1,795 1,870 1,509 1,498 1990's 1,432 1,532 1,709 1,909 1,631 1,424 1,446 1,695 2,293 3,050 2000's 4,125 4,450 3,915 3,318 3,661 4,051 4,894 6,095 6,393 6,810

  20. Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 122 175 216 235 253 248 230 217 1990's 138 225 904 1,322 1,833 1,836 1,930 2,446 1,973 2,017 2000's 1,704 1,752 1,673 1,717 1,742 2,018 2,302 2,529 2,378 3,091 2010's 3,215 2,832 2,579 2,373 2,800 - = No Data Reported; -- = Not Applicable; NA =

  1. Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 122 175 216 235 253 248 230 217 1990's 138 225 904 1,322 1,833 1,836 1,930 1,923 1,973 2,017 2000's 1,704 1,752 1,673 1,717 1,742 2,018 2,302 2,529 2,378 3,091 2010's 3,215 2,832 2,579

  2. West Virginia Natural Gas, Wet After Lease Separation Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) West Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,669 1980's 2,559 1,944 2,252 2,324 2,246 2,177 2,272 2,360 2,440 2,342 1990's 2,329 2,672 2,491 2,598 2,702 2,588 2,793 2,946 2,968 3,040 2000's 3,062 2,825 3,498 3,399 3,509 4,572 4,654 4,881 5,266 6,090 2010's 7,163 10,532

  3. West Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) West Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,593 1980's 2,437 1,881 2,169 2,238 2,173 2,104 2,207 2,210 2,299 2,244 1990's 2,243 2,513 2,293 2,408 2,569 2,514 2,722 2,887 2,925 2,952 2000's 2,929 2,777 3,477 3,376 3,489 4,553

  4. Development of a Wet Logistics System for Bulk Corn Stover

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1000: Development of a Wet Logistics System for Bulk Corn Stover March 25, 2015 Lynn M. Wendt, William A. Smith, Austin Murphy, and Ian J. Bonner Idaho National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Technology Area Review: Feedstock Supply and Logistics 2 | Bioenergy Technologies Office Overall Project Goal Project Objective * Design a high-moisture, bulk feedstock logistics system that - Reduces the risk of catastrophic

  5. Wet-steam erosion of steam turbine disks and shafts

    SciTech Connect (OSTI)

    Averkina, N. V.; Zheleznyak, I. V.; Kachuriner, Yu. Ya.; Nosovitskii, I. A.; Orlik, V. G.; Shishkin, V. I.

    2011-01-15

    A study of wet-steam erosion of the disks and the rotor bosses or housings of turbines in thermal and nuclear power plants shows that the rate of wear does not depend on the diagrammed degree of moisture, but is determined by moisture condensing on the surfaces of the diaphragms and steam inlet components. Renovating the diaphragm seals as an assembly with condensate removal provides a manifold reduction in the erosion.

  6. Hydrologic Behavior of Two Engineered Barriers Following Extreme Wetting

    SciTech Connect (OSTI)

    Porro, I.

    2000-09-30

    Many engineered barriers are expected to function for hundreds of years or longer. Over the course of time, it is likely that some barriers will experience infiltration to the point of breakthrough. This study compares the recovery from breakthrough of two storage- evapotranspiration type engineered barriers. Replicates of test plots comprising thick soil and capillary/biobarrier covers were wetted to breakthrough in 1997. Test plots were kept cleared of vegetation to maximize hydrologic stress during recovery. Following cessation of drainage resulting from the wetting irrigations, water storage levels in all plots were at elevated levels compared to pre-irrigation levels. As a result, infiltration of melting snow during the subsequent spring overloaded the storage capacity and produced drainage in all plots. Relatively rapid melting of accumulated snowfall produced the most significant infiltration events each year during the study. Capillary barriers yielded less total drainage than thick soil barriers. By limiting drainage, capillary barriers increased water storage in the upper portions of the test plots, which led to increased evaporation from the capillary barrier plots compared to thick soil plots. Increased evaporation in the capillary barrier plots allowed more water to infiltrate in the second season following the wetting tests without triggering drainage. All thick soil plots again yielded drainage in the second season. Within two years of intentionally induced breakthrough, evaporation alone (without transpiration) restored the capability of the capillary barrier covers to function as intended, although water storage in these covers remained at elevated levels.

  7. 3.1.1.2 Feed Processing and Handling DL2 Final Report

    SciTech Connect (OSTI)

    Elliott, Douglas C.; Magnuson, Jon K.; Wend, Christopher F.

    2006-09-30

    This milestone report is the deliverable for our Feed Processing and Handling project. It includes results of wet biomass feedstock analysis, slurry pumping information, fungal processing to produce a lignin-rich biorefinery residue and two subcontracted efforts to quantify the amount of wet biomass feedstocks currently available within the corn processing and paper processing industries.

  8. C60 -induced Devil's Staircase transformation on a Pb/Si(111) wetting layer

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wang, Lin -Lin; Johnson, Duane D.; Tringides, Michael C.

    2015-12-03

    Density functional theory is used to study structural energetics of Pb vacancy cluster formation on C60/Pb/Si(111) to explain the unusually fast and error-free transformations between the “Devil's Staircase” (DS) phases on the Pb/Si(111) wetting layer at low temperature (~110K). The formation energies of vacancy clusters are calculated in C60/Pb/Si(111) as Pb atoms are progressively ejected from the initial dense Pb wetting layer. Vacancy clusters larger than five Pb atoms are found to be stable with seven being the most stable, while vacancy clusters smaller than five are highly unstable, which agrees well with the observed ejection rate of ~5 Pbmore » atoms per C60. Furthermore, the high energy cost (~0.8 eV) for the small vacancy clusters to form indicates convincingly that the unusually fast transformation observed experimentally between the DS phases, upon C60 adsorption at low temperature, cannot be the result of single-atom random walk diffusion but of correlated multi-atom processes.« less

  9. Treatment of electrochemical cell components with lithium tetrachloroaluminate (LiAlCl.sub.4) to promote electrolyte wetting

    DOE Patents [OSTI]

    Eberhart, James G. (Naperville, IL); Battles, James E. (Oak Forest, IL)

    1980-01-01

    Electrochemical cell components such as interelectrode separators, retaining screens and current collectors are contacted with lithium tetrachloroaluminate prior to contact with molten electrolytic salt to improve electrolyte wetting. The LiAlCl.sub.4 can be applied in powdered, molten or solution form but, since this material has a lower melting point than the electrolytic salt used in high-temperature cells, the powdered LiAlCl.sub.4 forms a molten flux prior to contact by the molten electrolyte when both materials are initially provided in solid form. Components of materials such as boron nitride and other materials which are difficult to wet with molten salts are advantageously treated by this process.

  10. Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  11. 1986 wet deposition temporal and spatial patterns in North America

    SciTech Connect (OSTI)

    Olsen, A.R.

    1989-07-01

    The focus of this report is on North American wet deposition temporal patterns from 1979 to 1986 and spatial patterns for 1986. The report provides statistical distribution summaries of annual precipitation-weighted average concentration and annual deposition for nine ion species: hydrogen, sulfate, nitrate, ammonium, calcium, chloride, sodium, potassium, and magnesium. The data in the report are from the Acid Depositing System (ADS) for the statistical reporting of North American deposition data. Isopleth maps, based on surface estimation using kriging, display concentration and deposition spatial patterns of pH, hydrogen, sulfate, nitrate, ammonium, and calcium ion species for 1986 annual, winter, and summer periods. The temporal pattern analyses use a subset of 30 sites over an 8-year (1979-1986) period and an expanded subset of 137 sites with greater spatial coverage over a 5-year (1982-1986) period. The 8-year period represents the longest period with wet deposition monitoring data unavailable that has a sufficient number of sites with data of known quality to allow a descriptive summary of annual temporal patterns. 19 refs., 105 figs., 29 tabs.

  12. Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,334 1980's 1,551 1,252 1,200 1,353 1,193 1,064 1,242 1,571 1,434 1,443 1990's 1,330 1,404 1,290 1,218 1,379 1,344 2,125 2,256 2,386 2,313 2000's 2,772 3,032 3,311 3,488 3,154 2,961 3,117 3,691 3,253 2,805 2010's 2,975 2,549 1,781 1,839 1,873 -

  13. WPN 97-6: Approval of Wet-Spray Cellulose Insulation as an Allowable Weatherization Material

    Broader source: Energy.gov [DOE]

    To provide states with information about the approved use of wet-spray cellulose for use in the low-income Weatherization Assistance Program.

  14. ,"Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  15. ,"Texas - RRC District 8A Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8A Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  16. ,"Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved...

  17. ,"Texas - RRC District 8A Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 8A Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  18. ,"Texas - RRC District 7B Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7B Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  19. ,"Texas - RRC District 7C Natural Gas, Wet After Lease Separation...

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 7C Natural Gas, Wet After Lease Separation Proved Reserves (Billion...

  20. MHK Projects/US Navy Wave Energy Technology WET Program at Marine...

    Open Energy Info (EERE)

    US Navy Wave Energy Technology WET Program at Marine Corps Base Hawaii MCBH < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map......

  1. Patterned functional arrays by selective de-wetting

    SciTech Connect (OSTI)

    FAN,HONGYOU; DOSHI,DHAVAL; LU,YUNFENG; BRINKER,C. JEFFREY

    2000-05-11

    Using a micro-Contact Printing ({mu}-CP) technique, substrates are prepared with patterns of hydrophilic, hydroxyl-terminated SAMS and hydrophobic methyl-terminated SAMS. Beginning with a homogeneous solution of silica, surfactant, ethanol, water, and functional silane, preferential ethanol evaporation during dip-coating, causes water enrichment and selective de-wetting of the hydrophobic SAMS. Correspondingly, film deposition occurs exclusively on the patterned hydrophilic SAMS. In addition, by co-condensation of tetrafunctional silanes (Si(OR){sub 4}) with tri-functional organosilanes ((RO){sub 3}Si(CH{sub 2}){sub 3}NH{sub 2}), the authors have selectively derived the silica framework with functional amine NH{sub 2} groups. A pH sensitive, micro-fluidic system was formed by further conjugation reactions with pH sensitive dye molecules.

  2. Crude Oil and Lease Condensate Wet Natural Gas

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    U.S. proved reserves, and reserves changes, 2013-2014 Crude Oil and Lease Condensate Wet Natural Gas billion barrels trillion cubic feet U.S. proved reserves at December 31, 2013 36.5 354.0 Total discoveries 5.4 50.5 Net revisions 0.4 1.0 Net Adjustments, Sales, Acquisitions 0.8 11.5 Production -3.2 -28.1 Net additions to U.S. proved reserves 3.4 34.8 U.S. proved reserves at December 31, 2014 39.9 388.8 Percent change in U.S. proved reserves 9.3% 9.8% Percent change calculated from unrounded

  3. Wet chemical thinning of molybdenum disulfide down to its monolayer

    SciTech Connect (OSTI)

    Amara, Kiran Kumar; Chu, Leiqiang; Kumar, Rajeev; Toh, Minglin; Eda, Goki

    2014-09-01

    We report on the preparation of mono- and bi-layer molybdenum disulfide (MoS{sub 2}) from a bulk crystal by facile wet chemical etching. We show that concentrated nitric acid (HNO{sub 3}) effectively etches thin MoS{sub 2} crystals from their edges via formation of MoO{sub 3}. Interestingly, etching of thin crystals on a substrate leaves behind unreacted mono- and bilayer sheets. The flakes obtained by chemical etching exhibit electronic quality comparable to that of mechanically exfoliated counterparts. Our findings indicate that the self-limiting chemical etching is a promising top-down route to preparing atomically thin crystals from bulk layer compounds.

  4. Moving zone Marangoni drying of wet objects using naturally evaporated solvent vapor

    DOE Patents [OSTI]

    Britten, Jerald A. (Oakley, CA)

    1997-01-01

    A surface tension gradient driven flow (a Marangoni flow) is used to remove the thin film of water remaining on the surface of an object following rinsing. The process passively introduces by natural evaporation and diffusion of minute amounts of alcohol (or other suitable material) vapor in the immediate vicinity of a continuously refreshed meniscus of deionized water or another aqueous-based, nonsurfactant rinsing agent. Used in conjunction with cleaning, developing or wet etching application, rinsing coupled with Marangoni drying provides a single-step process for 1) cleaning, developing or etching, 2) rinsing, and 3) drying objects such as flat substrates or coatings on flat substrates without necessarily using heat, forced air flow, contact wiping, centrifugation or large amounts of flammable solvents. This process is useful in one-step cleaning and drying of large flat optical substrates, one-step developing/rinsing and drying or etching/rinsing/drying of large flat patterned substrates and flat panel displays during lithographic processing, and room-temperature rinsing/drying of other large parts, sheets or continuous rolls of material.

  5. Moving zone Marangoni drying of wet objects using naturally evaporated solvent vapor

    DOE Patents [OSTI]

    Britten, J.A.

    1997-08-26

    A surface tension gradient driven flow (a Marangoni flow) is used to remove the thin film of water remaining on the surface of an object following rinsing. The process passively introduces by natural evaporation and diffusion of minute amounts of alcohol (or other suitable material) vapor in the immediate vicinity of a continuously refreshed meniscus of deionized water or another aqueous-based, nonsurfactant rinsing agent. Used in conjunction with cleaning, developing or wet etching application, rinsing coupled with Marangoni drying provides a single-step process for (1) cleaning, developing or etching, (2) rinsing, and (3) drying objects such as flat substrates or coatings on flat substrates without necessarily using heat, forced air flow, contact wiping, centrifugation or large amounts of flammable solvents. This process is useful in one-step cleaning and drying of large flat optical substrates, one-step developing/rinsing and drying or etching/rinsing/drying of large flat patterned substrates and flat panel displays during lithographic processing, and room-temperature rinsing/drying of other large parts, sheets or continuous rolls of material. 5 figs.

  6. Impacts of WRF Physics and Measurement Uncertainty on California Wintertime Model Wet Bias

    SciTech Connect (OSTI)

    Chin, H S; Caldwell, P M; Bader, D C

    2009-07-22

    The Weather and Research Forecast (WRF) model version 3.0.1 is used to explore California wintertime model wet bias. In this study, two wintertime storms are selected from each of four major types of large-scale conditions; Pineapple Express, El Nino, La Nina, and synoptic cyclones. We test the impacts of several model configurations on precipitation bias through comparison with three sets of gridded surface observations; one from the National Oceanographic and Atmospheric Administration, and two variations from the University of Washington (without and with long-term trend adjustment; UW1 and UW2, respectively). To simplify validation, California is divided into 4 regions (Coast, Central Valley, Mountains, and Southern California). Simulations are driven by North American Regional Reanalysis data to minimize large-scale forcing error. Control simulations are conducted with 12-km grid spacing (low resolution) but additional experiments are performed at 2-km (high) resolution to evaluate the robustness of microphysics and cumulus parameterizations to resolution changes. We find that the choice of validation dataset has a significant impact on the model wet bias, and the forecast skill of model precipitation depends strongly on geographic location and storm type. Simulations with right physics options agree better with UW1 observations. In 12-km resolution simulations, the Lin microphysics and the Kain-Fritsch cumulus scheme have better forecast skill in the coastal region while Goddard, Thompson, and Morrison microphysics, and the Grell-Devenyi cumulus scheme perform better in the rest of California. The effect of planetary boundary layer, soil-layer, and radiation physics on model precipitation is weaker than that of microphysics and cumulus processes for short- to medium-range low-resolution simulations. Comparison of 2-km and 12-km resolution runs suggests a need for improvement of cumulus schemes, and supports the use of microphysics schemes in coarser-grid applications.

  7. Selenium Speciation and Management in Wet FGD Systems

    SciTech Connect (OSTI)

    Searcy, K; Richardson, M; Blythe, G; Wallschlaeger, D; Chu, P; Dene, C

    2012-02-29

    This report discusses results from bench- and pilot-scale simulation tests conducted to determine the factors that impact selenium speciation and phase partitioning in wet FGD systems. The selenium chemistry in wet FGD systems is highly complex and not completely understood, thus extrapolation and scale-up of these results may be uncertain. Control of operating parameters and application of scrubber additives have successfully demonstrated the avoidance or decrease of selenite oxidation at the bench and pilot scale. Ongoing efforts to improve sample handling methods for selenium speciation measurements are also discussed. Bench-scale scrubber tests explored the impacts of oxidation air rate, trace metals, scrubber additives, and natural limestone on selenium speciation in synthetic and field-generated full-scale FGD liquors. The presence and concentration of redox-active chemical species as well as the oxidation air rate contribute to the oxidation-reduction potential (ORP) conditions in FGD scrubbers. Selenite oxidation to the undesirable selenate form increases with increasing ORP conditions, and decreases with decreasing ORP conditions. Solid-phase manganese [Mn(IV)] appeared to be the significant metal impacting the oxidation of selenite to selenate. Scrubber additives were tested for their ability to inhibit selenite oxidation. Although dibasic acid and other scrubber additives showed promise in early clear liquor (sodium based and without calcium solids) bench-scale tests, these additives did not show strong inhibition of selenite oxidation in tests with higher manganese concentrations and with slurries from full-scale wet FGD systems. In bench-tests with field liquors, addition of ferric chloride at a 250:1 iron-to-selenium mass ratio sorbed all incoming selenite to the solid phase, although addition of ferric salts had no impact on native selenate that already existed in the field slurry liquor sample. As ORP increases, selenite may oxidize to selenate more rapidly than it sorbs to ferric solids. Though it was not possible to demonstrate a decrease in selenium concentrations to levels below the project?¢????s target of 50 ???µg/L during pilot testing, some trends observed in bench-scale testing were evident at the pilot scale. Specifically, reducing oxidation air rate and ORP tends to either retain selenium as selenite in the liquor or shift selenium phase partitioning to the solid phase. Oxidation air flow rate control may be one option for managing selenium behavior in FGD scrubbers. Units that cycle load widely may find it more difficult to impact ORP conditions with oxidation air flow rate control alone. Because decreasing oxidation air rates to the reaction tank showed that all ?¢????new?¢??? selenium reported to the solids, the addition of ferric chloride to the pilot scrubber could not show further improvements in selenium behavior. Ferric chloride addition did shift mercury to the slurry solids, specifically to the fine particles. Several competing pathways may govern the reporting of selenium to the slurry solids: co-precipitation with gypsum into the bulk solids and sorption or co-precipitation with iron into the fine particles. Simultaneous measurement of selenium and mercury behavior suggests a holistic management strategy is best to optimize the fate of both of these elements in FGD waters. Work conducted under this project evaluated sample handling and analytical methods for selenium speciation in FGD waters. Three analytical techniques and several preservation methods were employed. Measurements of selenium speciation over time indicated that for accurate selenium speciation, it is best to conduct measurements on unpreserved, filtered samples as soon after sampling as possible. The capital and operating costs for two selenium management strategies were considered: ferric chloride addition and oxidation air flow rate control. For ferric chloride addition, as migh

  8. Process for the production of fuel gas from coal

    DOE Patents [OSTI]

    Patel, Jitendra G. (Bolingbrook, IL); Sandstrom, William A. (Chicago, IL); Tarman, Paul B. (Elmhurst, IL)

    1982-01-01

    An improved apparatus and process for the conversion of hydrocarbonaceous materials, such as coal, to more valuable gaseous products in a fluidized bed gasification reaction and efficient withdrawal of agglomerated ash from the fluidized bed is disclosed. The improvements are obtained by introducing an oxygen containing gas into the bottom of the fluidized bed through a separate conduit positioned within the center of a nozzle adapted to agglomerate and withdraw the ash from the bottom of the fluidized bed. The conduit extends above the constricted center portion of the nozzle and preferably terminates within and does not extend from the nozzle. In addition to improving ash agglomeration and withdrawal, the present invention prevents sintering and clinkering of the ash in the fluidized bed and permits the efficient recycle of fine material recovered from the product gases by contacting the fines in the fluidized bed with the oxygen as it emanates from the conduit positioned within the withdrawal nozzle. Finally, the present method of oxygen introduction permits the efficient recycle of a portion of the product gases to the reaction zone to increase the reducing properties of the hot product gas.

  9. 1987 wet deposition temporal and spatial patterns in North America

    SciTech Connect (OSTI)

    Simpson, J.C.; Olsen, A.R.

    1990-03-01

    The focus of this report is on North American wet deposition temporal patterns from 1979 to 1987 and spatial patterns for 1987. The report investigates the patterns of annual precipitation-weighted average concentration and annual deposition for nine ion species: hydrogen, sulfate, nitrate, ammonium, calcium, chloride, sodium, potassium, and magnesium. Data are from the Acid Deposition System (ADS) for the statistical reporting of North American deposition data which includes the National Atmospheric Deposition Program/National Trends Network (NADP/NTN), the MAP3S precipitation chemistry network, the Utility Acid Precipitation Study Program (UAPSP), the Canadian Precipitation Monitoring Network (CAPMoN), and the daily and 4-weekly Acidic Precipitation in Ontario Study (APIOS-D and APIOS-C). Mosaic maps, based on surface estimation using kriging, display concentration and deposition spatial patterns of pH, hydrogen, sulfate, nitrate, ammonium, and calcium ion species for 1987 annual, winter, and summer periods. The temporal pattern analyses use a subset of 39 sites over a 9-year (1979--1987) period and an expanded subset of 140 sites with greater spatial coverage over a 6-year (1982--1987) period. 68 refs., 15 figs., 15 tabs.

  10. "Wet" Waste-to-Energy in the Bioenergy Technologies Office

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Minnesota will receive up to 2.5 million to develop a fermentation process, using biogas and bacteria, for the production of lactic acid. This process could be used for the...

  11. Effects of pulverized coal fly-ash addition as a wet-end filler in papermaking

    SciTech Connect (OSTI)

    Sinha, A.S.K.

    2008-09-15

    This experimental study is based on the innovative idea of using pulverized coal fly ash as a wet-end filler in papermaking. This is the first evaluation of the possible use of fly ash in the paper industry. Coal-based thermal power plants throughout the world are generating fly ash as a solid waste product. The constituents of fly ash can be used effectively in papermaking. Fly ash has a wide variation in particle size, which ranges from a few micrometers to one hundred micrometers. Fly ash acts as an inert material in acidic, neutral, and alkaline papermaking processes. Its physical properties such as bulk density (800-980 kg/m{sup 3}), porosity (45%-57%), and surface area (0.138-2.3076 m{sup 2}/g) make it suitable for use as a paper filler. Fly ash obtained from thermal power plants using pulverized coal was fractionated by a vibratory-sieve stack. The fine fraction with a particle size below 38 micrometers was used to study its effect on the important mechanical-strength and optical properties of paper. The effects of fly-ash addition on these properties were compared with those of kaolin clay. Paper opacity was found to be much higher with fly ash as a filler, whereas brightness decreased as the filler percentage increased Mechanical strength properties of the paper samples with fly ash as filler were superior to those with kaolin clay.

  12. WETTABILITY AND IMBIBITION: MICROSCOPIC DISTRIBUTION OF WETTING AND ITS CONSEQUENCES AT THE CORE AND FIELD SCALES

    SciTech Connect (OSTI)

    Jill S. Buckley; Norman R. Morrow; Chris Palmer; Purnendu K. Dasgupta

    2003-02-01

    The questions of reservoir wettability have been approached in this project from three directions. First, we have studied the properties of crude oils that contribute to wetting alteration in a reservoir. A database of more than 150 different crude oil samples has been established to facilitate examination of the relationships between crude oil chemical and physical properties and their influence on reservoir wetting. In the course of this work an improved SARA analysis technique was developed and major advances were made in understanding asphaltene stability including development of a thermodynamic Asphaltene Solubility Model (ASM) and empirical methods for predicting the onset of instability. The CO-Wet database is a resource that will be used to guide wettability research in the future. The second approach is to study crude oil/brine/rock interactions on smooth surfaces. Contact angle measurements were made under controlled conditions on mica surfaces that had been exposed to many of the oils in the CO-Wet database. With this wealth of data, statistical tests can now be used to examine the relationships between crude oil properties and the tendencies of those oils to alter wetting. Traditionally, contact angles have been used as the primary wetting assessment tool on smooth surfaces. A new technique has been developed using an atomic forces microscope that adds a new dimension to the ability to characterize oil-treated surfaces. Ultimately we aim to understand wetting in porous media, the focus of the third approach taken in this project. Using oils from the CO-Wet database, experimental advances have been made in scaling the rate of imbibition, a sensitive measure of core wetting. Application of the scaling group to mixed-wet systems has been demonstrated for a range of core conditions. Investigations of imbibition in gas/liquid systems provided the motivation for theoretical advances as well. As a result of this project we have many new tools for studying wetting at microscopic and macroscopic scales and a library of well-characterized fluids for use in studies of crude oil/brine/rock interactions.

  13. ChemCam follows the 'Yellowknife Road' to Martian wet area

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    'Yellowknife Road' to martian wet area ChemCam follows the 'Yellowknife Road' to martian wet area Researchers have tracked a trail of minerals that point to the prior presence of water at the Curiosity rover site on Mars. January 15, 2013 The Mars Science Laboratory's Curiosity Rover recently took this photo of the Martian landscape looking toward Mount Sharp while on its way toward Yellowknife Bay-an area where researchers have found minerals indicating the past presence of water. (NASA Photo)

  14. Safety Aspects of Wet Storage of Spent Nuclear Fuel, OAS-L-13-11

    Energy Savers [EERE]

    Safety Aspects of Wet Storage of Spent Nuclear Fuel OAS-L-13-11 July 2013 Department of Energy Washington, DC 20585 July 10, 2013 MEMORANDUM FOR THE SENIOR ADVISOR FOR ENVIRONMENTAL MANAGEMENT FROM: Daniel M. Weeber Assistant Inspector General for Audits and Administration Office of Inspector General SUBJECT: INFORMATION: Audit Report on "Safety Aspects of Wet Storage of Spent Nuclear Fuel" BACKGROUND The Department of Energy (Department) is responsible for managing and storing spent

  15. Heat Transfer Characteristics of the Wet Thermal Insulator with Multi-layer

    SciTech Connect (OSTI)

    Jong-Won Kim; Goon-Cherl Park; Tae-Wan Kim; Doo-Jeong Lee

    2006-07-01

    SMART developed in KAERI is an integral type nuclear cogeneration reactor. SMART uses a nitrogen-filled gas pressurizer so that the steam partial pressure should be minimized and the pressurizer should be under low temperature condition. To sustain the low temperature condition, the wet thermal insulator and pressurizer cooler are installed in the pressurizer. Since the performance of wet thermal insulator is an important parameter to determine the size of the pressurizer cooler, it is important to evaluate the insulation performance of the wet thermal insulator. The wet thermal insulators with 20 layers are installed in SMART. In the design of SMART, the empirical correlation by Adamovich was used to estimate the thermal resistance of the wet thermal insulator. However, the experimental condition and results are not clear so that this correlation should be verified. To analyze the heat transfer characteristics of the multi-layer wet thermal insulator, natural convective heat transport through horizontal and vertical water-filled layers is investigated. Experiments and numerical analyses have been performed to evaluate the heat transfer rates through multi-layer and verify Adamovich correlation. In addition, a new multi-layer correlation was obtained. (authors)

  16. Low-temperature catalytic gasification of wet industrial wastes

    SciTech Connect (OSTI)

    Elliott, D C; Neuenschwander, G G; Baker, E G; Sealock, Jr, L J; Butner, R S

    1991-04-01

    Bench-scale reactor tests are in progress at Pacific Northwest Laboratory to develop a low-temperature, catalytic gasification system. The system, licensed under the trade name Thermochemical Environmental Energy System (TEES{reg sign}), is designed for treating a wide variety of feedstocks ranging from dilute organics in water to waste sludges from food processing. This report describes a test program which used a continuous-feed tubular reactor. This test program is an intermediate stage in the process development. The reactor is a laboratory-scale version of the commercial concept as currently envisioned by the process developers. An energy benefit and economic analysis was also completed on the process. Four conceptual commercial installations of the TEES process were evaluated for three food processing applications and one organic chemical manufacturing application. Net energy production (medium-Btu gas) was achieved in all four cases. The organic chemical application was found to be economically attractive in the present situation. Based on sensitivity studies included in the analysis, the three food processing cases will likely become attractive in the near future as waste disposal regulations tighten and disposal costs increase. 21 refs., 2 figs., 9 tabs.

  17. Pilot Testing of Mercury Oxidation Catalysts for Upstream of Wet FGD Systems

    SciTech Connect (OSTI)

    Richard Rhudy

    2006-06-30

    This final report presents and discusses results from a mercury control process development project entitled ''Pilot Testing of Mercury Oxidation Catalysts for Upstream of Wet FGD Systems''. The objective of this project was to demonstrate at pilot scale a mercury control technology that uses solid honeycomb catalysts to promote the oxidation of elemental mercury in the flue gas from coal combustion. Oxidized mercury is removed in downstream wet flue gas desulfurization (FGD) absorbers and leaves with the FGD byproducts. The goal of the project was to achieve 90% oxidation of elemental mercury in the flue gas and 90% overall mercury capture with the downstream wet FGD system. The project was co-funded by EPRI and the U.S. Department of Energy's National Energy Technology Laboratory (DOE NETL) under Cooperative Agreement DE-FC26-01NT41185. Great River Energy (GRE) and City Public Service (now CPS Energy) of San Antonio were also project co-funders and provided host sites. URS Group, Inc. was the prime contractor. Longer-term pilot-scale tests were conducted at two sites to provide catalyst life data. GRE provided the first site, at their Coal Creek Station (CCS), which fires North Dakota lignite, and CPS Energy provided the second site, at their Spruce Plant, which fires Powder River Basin (PRB) coal. Mercury oxidation catalyst testing began at CCS in October 2002 and continued through the end of June 2004, representing nearly 21 months of catalyst operation. An important finding was that, even though the mercury oxidation catalyst pilot unit was installed downstream of a high-efficiency ESP, fly ash buildup began to plug flue gas flow through the horizontal catalyst cells. Sonic horns were installed in each catalyst compartment and appeared to limit fly ash buildup. A palladium-based catalyst showed initial elemental mercury oxidation percentages of 95% across the catalyst, declining to 67% after 21 months in service. A carbon-based catalyst began with almost 98% elemental mercury oxidation across the catalyst, but declined to 79% oxidation after nearly 13 months in service. The other two catalysts, an SCR-type catalyst (titanium/vanadium) and an experimental fly-ash-based catalyst, were significantly less active. The palladium-based and SCR-type catalysts were effectively regenerated at the end of the long-term test by flowing heated air through the catalyst overnight. The carbon-based catalyst was not observed to regenerate, and no regeneration tests were conducted on the fourth, fly-ash-based catalyst. Preliminary process economics were developed for the palladium and carbon-based catalysts for a scrubbed, North Dakota lignite application. As described above, the pilot-scale results showed the catalysts could not sustain 90% or greater oxidation of elemental mercury in the flue gas for a period of two years. Consequently, the economics were based on performance criteria in a later DOE NETL solicitation, which required candidate mercury control technologies to achieve at least a 55% increase in mercury capture for plants that fire lignite. These economics show that if the catalysts must be replaced every two years, the catalytic oxidation process can be 30 to 40% less costly than conventional (not chemically treated) activated carbon injection if the plant currently sells their fly ash and would lose those sales with carbon injection. If the plant does not sell their fly ash, activated carbon injection was estimated to be slightly less costly. There was little difference in the estimated cost for palladium versus the carbon-based catalysts. If the palladium-based catalyst can be regenerated to double its life to four years, catalytic oxidation process economics are greatly improved. With regeneration, the catalytic oxidation process shows over a 50% reduction in mercury control cost compared to conventional activated carbon injection for a case where the plant sells its fly ash. At Spruce Plant, mercury oxidation catalyst testing began in September 2003 and continued through the end of April 2005, interrupted only by a

  18. Sampling for Beryllium Surface Contamination using Wet, Dry and Alcohol Wipe Sampling

    SciTech Connect (OSTI)

    Kerr, Kent

    2004-12-17

    This research project was conducted at the National Nuclear Security Administration's Kansas City Plant, operated by Honeywell Federal Manufacturing and Technologies, in conjunction with the Safety Sciences Department of Central Missouri State University, to compare relative removal efficiencies of three wipe sampling techniques currently used at Department of Energy facilities. Efficiencies of removal of beryllium contamination from typical painted surfaces were tested by wipe sampling with dry Whatman 42 filter paper, with water-moistened (Ghost Wipe) materials, and by methanol-moistened wipes. Test plates were prepared using 100 mm X 15 mm Pyrex Petri dishes with interior surfaces spray painted with a bond coat primer. To achieve uniform deposition over the test plate surface, 10 ml aliquots of solution containing 1 beryllium and 0.1 ml of metal working fluid were transferred to the test plates and subsequently evaporated. Metal working fluid was added to simulate the slight oiliness common on surfaces in metal working shops where fugitive oil mist accumulates over time. Sixteen test plates for each wipe method (dry, water, and methanol) were processed and sampled using a modification of wiping patterns recommended by OSHA Method 125G. Laboratory and statistical analysis showed that methanol-moistened wipe sampling removed significantly more (about twice as much) beryllium/oil-film surface contamination as water-moistened wipes (p< 0.001), which removed significantly more (about twice as much) residue as dry wipes (p <0.001). Evidence for beryllium sensitization via skin exposure argues in favor of wipe sampling with wetting agents that provide enhanced residue removal efficiency.

  19. Submicron particle mass concentrations and sources in the Amazonian wet season (AMAZE-08)

    SciTech Connect (OSTI)

    Chen, Q.; Farmer, D. K.; Rizzo, L. V.; Pauliqueivis, T.; Kuwata, Mikinori; Karl, Thomas G.; Guenther, Alex B.; Allan, James D.; Coe, H.; Andreae, M. O.; Poeschl, U.; Jiminez, J. L.; Artaxo, Paulo; Martin, Scot T.

    2015-01-01

    Real-time mass spectra of non-refractory component of submicron aerosol particles were recorded in a tropical rainforest in the central Amazon basin during the wet season of 2008, as a part of the Amazonian Aerosol Characterization Experiment (AMAZE-08). Organic components accounted on average for more than 80% of the non-refractory submicron particle mass concentrations during the period of measurements. Ammonium was present in sufficient quantities to halfway neutralize sulfate. In this acidic, isoprene-dominated, low-NOx environment the high-resolution mass spectra as well as mass closures with ion chromatography measurements did not provide evidence for significant contributions of organosulfate species, at least at concentrations above uncertainty levels. Positive-matrix factorization of the time series of particle mass spectra identified four statistical factors to account for the variance of the signal intensities of the organic constituents: a factor HOA having a hydrocarbon-like signature and identified as regional emissions of primary organic material, a factor OOA-1 associated with fresh production of secondary organic material by a mechanism of BVOC oxidation followed by gas-to-particle conversion, a factor OOA-2 consistent with reactive uptake of isoprene oxidation products, especially epoxydiols by acidic particles, and a factor OOA-3 associated with long range transport and atmospheric aging. The OOA-1, -2, and -3 factors had progressively more oxidized signatures. Diameter-resolved mass spectral markers also suggested enhanced reactive uptake of isoprene oxidation products to the accumulation mode for the OOA-2 factor, and such size partitioning can be indicative of in-cloud process. The campaign-average factor loadings were in a ratio of 1.1:1.0 for the OOA-1 compared to the OOA-2 pathway, suggesting the comparable importance of gas-phase compared to particle-phase (including cloud waters) production pathways of secondary organic material during the study period.

  20. A round robin evaluation of the corrosiveness of wet residential insulation by electrochemical measurements

    SciTech Connect (OSTI)

    Stansbury, E.E. , Knoxville, TN )

    1991-10-01

    The results of a round cabin evaluation of the use of an electrochemical method of calculating the corrosion rate of low carbon steel in environments related to cellulosic building insulations are reported. Environments included the leachate from a wet cellulosic insulation and solutions based on pure and commercial grades of borax, ammonium sulfate and aluminum sulfate. The pH values of these environments were in the range of 2.5 to 9.5. Electrochemical measurements were made using a direct reading corrosion rate instrument. The calculated corrosion rates were compared with those determined directly by weight loss measurements. Electrochemical measurements were made over a period of 48 hours and weight loss exposures were for two weeks. Poor agreement was observed for the corrosion rates determined electrochemically and the values were consistently larger than those based on weight loss. Reasons proposed for these results included the complex nature of the corrosion product deposits and the control these deposits have on oxygen diffusion to the metal interface. Both factors influence the validity of the calculation of the corrosion rate by the direct reading instrument. It was concluded that development of a viable electrochemical method of general applicability to the evaluation of the corrosiveness of wet residential building thermal insulations were doubtful. Because of the controlling influence of dissolved oxygen on the corrosion rate in the insulation leachate, an alternate evaluation method is proposed in which a thin steel specimen is partially immersed in wet insulation for three weeks. The corrosiveness of the wet insulation is evaluated in terms of the severity of attack near the metal-air-wet insulation interface. With thin metal specimens, complete penetration along the interface is proposed as a pass/fail criterion. An environment of sterile cotton wet with distilled water is proposed as a comparative standard. 9 refs., 2 figs., 3 tabs.

  1. Kansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Kansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 167 1980's 185 139 112 132 110 115 132 115 103 101 1990's 114 115 94 93 75 67 82 51 60 52 2000's 40 105 66 85 80 83 82 83 85 83 2010's 79 127 326 433 657 - = No Data Reported;

  2. Louisiana - South Onshore Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) South Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana - South Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,304 1980's 2,134 1,871 1,789 1,582 1,488 1,792 1,573 1,380 1,338 1,273 1990's 1,106 995 853 649 678 720 627 599 630 599

  3. Louisiana State Offshore Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Louisiana State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 449 251 260 207 231 1990's 207 207 154 157 168 148 157 130 98 120 2000's 129 145 84 79 61 63 56 65 686 513 2010's 107 51 128 88 68 - = No

  4. California State Offshore Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 226 1980's 160 244 232 221 206 1990's 188 55 59 63 59 56 47 54 39 58 2000's 86 80 85 76 85 89 85 79 54 53 2010's 63 79 65 75 76 - = No Data

  5. Development of a two-body wet abrasion test method with attention to the

    Office of Scientific and Technical Information (OSTI)

    effects of reused abradant (Conference) | SciTech Connect Development of a two-body wet abrasion test method with attention to the effects of reused abradant Citation Details In-Document Search Title: Development of a two-body wet abrasion test method with attention to the effects of reused abradant Abrasive wear is among the most common and costliest causes for material wastage, and it occurs in many forms. A simple method has been developed to quantify the response of metals and alloys to

  6. ,"Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  7. ,"Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. ,"Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  9. ,"Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  10. ,"U.S. Natural Gas Proved Reserves, Wet After Lease Separation"

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves, Wet After Lease Separation" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Proved Reserves, Wet After Lease Separation",10,"Annual",2014,"6/30/1979" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  11. ,"U.S. Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas Proved Reserves, Wet After Lease Separation" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation",10,"Annual",2014,"6/30/1979" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  12. ,"Utah Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 1 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 209 1980's 172 180 216 175 170 260 241 205 204 251 1990's 333 401 361 191 151 248 446 68 51 67 2000's 69 43 47 48 45 57 61 72 60 67 2010's 267

  16. Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 0 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 10 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 484 1980's 546 456 489 537 617 560 537 482 424 364 1990's 311 298 396 264 264 254 253 227 234 241 2000's 289 255 271 252 249 253 316 436

  17. Texas - RRC District 2 Onshore Associated-Dissolved Natural Gas, Wet After

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Separation, Proved Reserves (Billion Cubic Feet) 2 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 2 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 955 1980's 921 806 780 747 661 570 517 512 428 430 1990's 407 352 308 288 299 245 252 235 204 202 2000's 115 65 70 81

  18. Texas - RRC District 4 Onshore Associated-Dissolved Natural Gas, Wet After

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Separation, Proved Reserves (Billion Cubic Feet) 4 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 4 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,416 1980's 1,292 1,005 890 765 702 684 596 451 393 371 1990's 301 243 228 215 191 209 246 368 394 182 2000's 176 140

  19. Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 5 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 5 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 62 1980's 75 44 47 52 44 40 69 118 101 136 1990's 116 89 126 141 148 47 53 68 89 49 2000's 128 83 65 62 58 51 57 50 40 21 2010's 8 40 53 177

  20. Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 6 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 6 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 868 1980's 954 869 881 943 938 874 822 811 728 695 1990's 668 638 606 607 547 611 562 578 580 545 2000's 464 412 400 387 402 344 276 247 412

  1. Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 7B Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 7B Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 234 1980's 332 292 214 338 292 276 244 282 264 196 1990's 214 157 170 187 181 276 232 260 204 190 2000's 114 88 57 69 76 73 74 62 68 102

  2. Texas - RRC District 7B Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) B Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 7B Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 608 1980's 530 655 733 872 645 574 589 546 576 364 1990's 413 379 380 393 332 263 378 299 306 275 2000's 242 203 237 314 288 859 1,589 2,350 2,682 2,322

  3. Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) C Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 7C Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 653 1980's 520 685 704 705 776 780 666 737 727 721 1990's 768 759 748 633 631 640 692 596 557 616 2000's 693 634 737 927 994 1,037 1,196

  4. Texas - RRC District 8A Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 8A Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 8A Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 71 1980's 69 59 37 44 43 39 34 30 24 16 1990's 21 21 13 12 15 15 18 41 18 44 2000's 69 82 101 100 95 85 82 88 63 43 2010's 58 31 20 23 24 - = No Data

  5. Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 9 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 9 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 175 1980's 249 274 299 255 274 290 263 267 241 212 1990's 214 200 184 178 148 138 121 147 199 180 2000's 209 124 140 125 110 126 105 139 158

  6. Texas State Offshore Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas State Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 25 24 24 10 20 19 1990's 17 8 7 4 3 7 6 10 5 6 2000's 1 2 5 6 9 3 1 3 5 3 2010's 3 5 6 3 0 - = No Data Reported; -- = Not Applicable; NA = Not

  7. New Mexico - West Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) West Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico - West Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 151 1980's 156 150 146 180 194 181 214 213 259 178 1990's 184 156 127 107 97 119 108 106 98 92 2000's 115 99 103 89 90 98 82 87 86 82 2010's

  8. North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 201 1980's 239 253 248 257 267 331 293 276 266 313 1990's 334 243 266 274 275 263 255 257 261 250 2000's 264 270 315 316 320 343 357 417 484 1,070 2010's 1,717

  9. Ohio Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Ohio Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,047 1980's 1,417 800 984 1,635 1,178 938 898 594 480 589 1990's 371 376 381 343 315 355 399 391 342 402 2000's 469 340 346 304 208 184 174 101 99 97 2010's 90 74 223 314 208 - =

  10. ,"Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  12. ,"Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"California Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. ,"Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. ,"Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  18. ,"Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  19. ,"Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  20. ,"Mississippi Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  1. Utah Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Utah Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 367 1980's 414 335 325 360 341 391 410 471 475 442 1990's 455 469 309 289 286 277 301 310 209 321 2000's 348 303 359 299 290 308 317 368 321 601 2010's 631 909 1,001 895 872 - =

  2. West Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) West Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 76 1980's 122 63 83 86 73 73 65 150 141 98 1990's 86 159 198 190 133 74 71 59 43 88 2000's 98 48 21 23 20 19 16 16 23 24 2010's 29 52 21 70 32 - = No Data

  3. Mercury Control for Plants Firing Texas Lignite and Equipped with ESP-wet FGD

    SciTech Connect (OSTI)

    Katherine Dombrowski

    2009-12-31

    This report presents the results of a multi-year test program conducted as part of Cooperative Agreement DE-FC26-06NT42779, 'Mercury Control for Plants Firing Texas Lignite and Equipped with ESP-wet FGD.' The objective of this program was to determine the level of mercury removal achievable using sorbent injection for a plant firing Texas lignite fuel and equipped with an ESP and wet FGD. The project was primarily funded by the U.S. DOE National Energy Technology Laboratory. EPRI, NRG Texas, Luminant (formerly TXU), and AEP were project co-funders. URS Group was the prime contractor, and Apogee Scientific and ADA-ES were subcontractors. The host site for this program was NRG Texas Limestone Electric Generating Station (LMS) Units 1 and 2, located in Jewett, Texas. The plant fires a blend of Texas lignite and Powder River Basin (PRB) coal. Full-scale tests were conducted to evaluate the mercury removal performance of powdered sorbents injected into the flue gas upstream of the ESP (traditional configuration), upstream of the air preheater, and/or between electric fields within the ESP (Toxecon{trademark} II configuration). Phases I through III of the test program, conducted on Unit 1 in 2006-2007, consisted of three short-term parametric test phases followed by a 60-day continuous operation test. Selected mercury sorbents were injected to treat one quarter of the flue gas (e.g., approximately 225 MW equivalence) produced by Limestone Unit 1. Six sorbents and three injection configurations were evaluated and results were used to select the best combination of sorbent (Norit Americas DARCO Hg-LH at 2 lb/Macf) and injection location (upstream of the ESP) for a two-month performance evaluation. A mercury removal rate of 50-70% was targeted for the long-term test. During this continuous-injection test, mercury removal performance and variability were evaluated as the plant operated under normal conditions. Additional evaluations were made to determine any balance-of-plant impacts of the mercury control process, including those associated with ESP performance and fly ash reuse properties. Upon analysis of the project results, the project team identified several areas of interest for further study. Follow-on testing was conducted on Unit 2 in 2009 with the entire unit treated with injected sorbent so that mercury removal across the FGD could be measured and so that other low-ash impact technologies could be evaluated. Three approaches to minimizing ash impacts were tested: (1) injection of 'low ash impact' sorbents, (2) alterations to the injection configuration, and (3) injection of calcium bromide in conjunction with sorbent. These conditions were tested with the goal of identifying the conditions that result in the highest mercury removal while maintaining the sorbent injection at a rate that preserves the beneficial use of ash.

  4. Degradation of EBR-II driver fuel during wet storage

    SciTech Connect (OSTI)

    Pahl, R. G.

    2000-03-09

    Characterization data are reported for sodium bonded EBR-II reactor fuel which had been stored underwater in containers since the 1981--1982 timeframe. Ten stainless steel storage containers, which had leaked water during storage due to improper sealing, were retrieved from the ICPP-603 storage basin at the Idaho National Engineering and Environmental Laboratory (INEEL) in Idaho. In the container chosen for detailed destructive analysis, the stainless steel cladding on the uranium alloy fuel had ruptured and fuel oxide sludge filled the bottom of the container. Headspace gas sampling determined that greater than 99% hydrogen was present. Cesium 137, which had leached out of the fuel during the aqueous corrosion process, dominated the radionuclide source term of the water. The metallic sodium from the fuel element bond had reacted with the water, forming a concentrated caustic solution of NaOH.

  5. Performance evaluation of half-wetted hydrodynamic bearings with DLC coated surfaces.

    SciTech Connect (OSTI)

    Eryilmaz, O.; Erdemir, A.; Energy Systems

    2008-01-01

    In conventional liquid lubrication it is assumed that surfaces are fully wetted and no slip occurs between the fluid and the solid boundary. Under the 'no slip' condition the maximum shear gradient occurs at the fluid-surface interface. When one or both surfaces are non-wetted by the fluid, boundary slip can occur due to weak bonding between the fluid and the solid surface, which reduces shear stresses in the fluid adjacent to the non-wetted surface. A thrust bearing tribometer was used to compare the performance of 'no slip' hydrodynamic thrust bearings with bearings surfaces that were made to slip at the interface between the surface and fluid. Hydrophobic surfaces on both runner and bearing were achieved with the deposition of hydrogenated diamond like carbon (H-DLC) films, produced by plasma-enhanced CVD on titanium alloy surfaces. Hydrophilic surfaces were created through the surface modification of DLC. A mixtures of water and glycerol was used as the lubricant. The tests were conducted using different constant bearing gaps. The normal load and the torque or traction force between the rotating runner and hydrodynamic thrust bearing were measured with load cells. The experimental results confirmed that load support is still possible when surfaces are partially-wetted or nonwetted.

  6. Enhanced NO{sub x} removal in wet scrubbers using metal chelates. Final report, Volume 1

    SciTech Connect (OSTI)

    Smith, K.; Lani, B.; Berisko, D.; Schultz, C.; Carlson, W.; Benson, L.B.

    1992-12-01

    Successful pilot plant tests of simultaneous removal of S0{sub 2} and NO{sub x} in a wet lime flue gas desulfurization system were concluded in December. The tests, at up to 1.5 MW(e) capacity, were conducted by the Cincinnati Gas and Electric Company and Dravo Lime Company for the US Department of Energy at a pilot facility at the Miami Fort station of CG&E near Cincinnati, Ohio. The pilot plant scrubbed a slipstream of flue gas from Unit 7, a 530 MW coal-fired electric generating unit. Tests were conducted in three phases between April and December. The technology tested was wet scrubbing with Thiosorbic{reg_sign} magnesium-enhanced lime for S0{sub 2} removal and simultaneous NO scrubbing with ferrous EDTA, a metal chelate. Magnesium-enhanced lime-based wet scrubbing is used at 20 full-scale high-sulfur coal-fired electric generating units with a combined capacity of 8500 NW. Ferrous EDTA reacts with nitric oxide, NO, which comprises about 95% of NO{sub x} from coal-fired boilers. In this report, although not precise, NO and NO{sub x} are used interchangably. A major objective of the tests was to combine NO{sub x} removal using ferrous EDTA, a developing technology, with SO{sub 2} removal using wet lime FGD, already in wide commercial use. If successful, this could allow wide application of this NO{sub x} removal technology.

  7. WET-NZ Multi-Mode Wave Energy Converter Advancement Project

    SciTech Connect (OSTI)

    Klure, Justin

    2011-11-01

    Presentation from the 2011 Water Peer Review in which the principal investigator discussed the next steps to verify a multi-mode functionality of the WET-NZ device. This included overview of the approaches taken to perform wave tank testing, open ocean deployment, synthesis and analysis.

  8. Process for strengthening silicon based ceramics

    DOE Patents [OSTI]

    Kim, Hyoun-Ee; Moorhead, A. J.

    1993-04-06

    A process for strengthening silicon based ceramic monolithic materials and omposite materials that contain silicon based ceramic reinforcing phases that requires that the ceramic be exposed to a wet hydrogen atmosphere at about 1400.degree. C. The process results in a dense, tightly adherent silicon containing oxide layer that heals, blunts , or otherwise negates the detrimental effect of strength limiting flaws on the surface of the ceramic body.

  9. Process for strengthening silicon based ceramics

    DOE Patents [OSTI]

    Kim, Hyoun-Ee (Oak Ridge, TN); Moorhead, A. J. (Knoxville, TN)

    1993-01-01

    A process for strengthening silicon based ceramic monolithic materials and omposite materials that contain silicon based ceramic reinforcing phases that requires that the ceramic be exposed to a wet hydrogen atmosphere at about 1400.degree. C. The process results in a dense, tightly adherent silicon containing oxide layer that heals, blunts , or otherwise negates the detrimental effect of strength limiting flaws on the surface of the ceramic body.

  10. Production development and utilization of Zimmer Station wet FGD by-products. Final report. Volume 3, Product development of gypsum, Phase 1

    SciTech Connect (OSTI)

    Smith, Kevin; Beeghly, Joel H.

    2000-11-30

    In the way of background information about 30 electric utility units with a combined total of 15,000 MW utilize magnesium enhanced lime flue gas desulfurization (FGD) systems. The first generation process begun in 1973, called the Thiosorbic® Process, was a technical breakthrough that offered significantly improved operating and performance characteristics compared with competing FGD technologies. The process is described as Flow Diagram "A" in Figure 1. A disadvantage of this and other inhibited or natural oxidation wet FGD systems is the capital and operating cost associated with landfill disposal of the calcium sulfite based solids. Fixation to stabilize the sludge solids for compunction in a landfill also consumes fly ash that otherwise may be marketable.

  11. Production development and utilization of Zimmer Station wet FGD by-products. Final report. Volume 2, Product development of magnesium hydroxide, Phase 1

    SciTech Connect (OSTI)

    Smith, Kevin; Beeghly, Joel H.

    2000-11-30

    In the way of background information about 30 electric utility units with a combined total of 15,000 MW utilize magnesium enhanced lime flue gas desulfurization (FGD) systems. The first generation process begun in 1973, called the Thiosorbic® Process, was a technical breakthrough that offered significantly improved operating and performance characteristics compared with competing FGD technologies. The process is described as Flow Diagram "A" in figure 1. A disadvantage of this and other inhibited or natural oxidation wet FGD systems is the capital and operating cost associated with landfill disposal of the calcium sulfite based solids. Fixation to stabilize the sludge solids for compaction in a landfill also consumes fly ash that otherwise may be marketable.

  12. Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 28,772 1990's 23,050 22,028 20,006 19,751 21,208 21,664 22,119 22,428 21,261 20,172 2000's 20,466 20,290 19,113 17,168 15,144 14,073 12,201 11,458

  13. Gulf of Mexico Federal Offshore - Texas Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Texas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,885 6,511 7,497 7,261 7,277 6,998 1990's 7,330 6,712 7,044 6,712 6,418 6,565 6,034 6,027 5,676 5,890 2000's 6,425 6,810 6,234 5,354 4,144 3,354 2,738 2,550 2,402 2,451 2010's

  14. Lower 48 States Associated-Dissolved Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Lower 48 States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 32,208 1980's 33,443 32,870 31,268 31,286 30,282 29,515 28,684 27,457 26,609 26,611 1990's 26,242 25,088 24,701 23,551 23,913 24,532 24,715 24,666

  15. Lower 48 States Natural Gas, Wet After Lease Separation Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Lower 48 States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 176,060 1980's 172,864 176,385 174,252 174,755 171,508 167,979 167,754 162,713 167,820 166,409 1990's 168,183 165,672 163,584 160,504 162,126 163,901 165,851 165,048 162,400 166,304 2000's 177,179 182,842 187,028 188,797 192,727

  16. Alaska Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alaska Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 27,217 1980's 28,567 28,676 30,814 30,408 30,356 31,092 30,893 30,732 6,269 6,198 1990's 6,927 6,729 6,723 6,494 6,487 6,265 6,080 7,716 7,275 7,209 2000's 6,768 6,592 6,376

  17. U.S. Natural Gas Wet After Lease Separation, Reserves in Nonproducing

    U.S. Energy Information Administration (EIA) Indexed Site

    Reservoirs (Billion Cubic Feet) Wet After Lease Separation, Reserves in Nonproducing Reservoirs (Billion Cubic Feet) U.S. Natural Gas Wet After Lease Separation, Reserves in Nonproducing Reservoirs (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 33,049 33,157 36,047 36,873 2000's 42,834 52,948 49,974 49,068 51,412 59,658 66,714 78,094 85,543 98,092 2010's 113,439 118,224 110,351 115,915 147,732 - = No Data Reported; -- = Not

  18. U.S. Nonassociated Natural Gas, Reserves in Nonproducing Reservoirs, Wet

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Reserves in Nonproducing Reservoirs, Wet (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Reserves in Nonproducing Reservoirs, Wet (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27,760 27,526 30,570 31,235 2000's 37,639 46,321 43,401 43,165 45,996 53,387 60,669 71,204 78,863 90,477 2010's 104,340 104,964 90,801 93,697 120,492 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  19. Texas - RRC District 10 Natural Gas, Wet After Lease Separation Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 10 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7,289 1980's 6,927 6,720 6,731 6,485 6,060 6,044 5,857 5,512 5,300 5,213 1990's 4,919 5,061 4,859 4,478 4,669 4,910 4,845 4,613 4,744 4,688 2000's 4,433 4,263 4,299 4,510 5,383 5,430 5,950 6,932 7,601

  20. Texas - RRC District 2 Onshore Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 2 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 2 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,079 1980's 1,645 1,920 1,785 1,890 1,965 1,895 1,760 1,861 1,703 1,419 1990's 1,418 1,127 1,176 1,137 1,169 1,126 1,178 1,497 1,516

  1. Texas - RRC District 3 Onshore Associated-Dissolved Natural Gas, Wet After

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Separation, Proved Reserves (Billion Cubic Feet) 3 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 3 Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,513 1980's 2,429 2,080 1,881 1,784 1,756 1,537 1,405 1,296 1,226 1,148 1990's 1,056 1,123 1,206 1,159 1,063 960

  2. Texas - RRC District 3 Onshore Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 3 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 3 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,052 1980's 3,333 3,466 3,167 3,220 3,264 2,940 2,605 2,563 2,400 2,278 1990's 2,024 1,987 1,723 2,092 2,590 3,196 3,612 3,539 3,275

  3. Texas - RRC District 4 Onshore Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 4 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 4 Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7,143 1980's 7,074 7,251 7,802 7,847 8,094 7,825 7,964 7,317 6,891 7,009 1990's 7,473 7,096 6,813 7,136 7,679 7,812 7,877 8,115 8,430

  4. Texas - RRC District 7C Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 7C Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 7C Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,427 1980's 2,023 2,065 2,224 2,150 2,393 2,475 2,373 2,295 2,374 2,776 1990's 3,061 2,833 2,873 2,945 3,029 2,828 3,371 3,247 2,939 2,977 2000's 3,439

  5. Texas - RRC District 8 Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) 8 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 8 Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,645 1980's 2,569 2,630 2,908 3,014 2,932 3,004 3,076 2,898 3,072 3,128 1990's 3,068 2,770 2,742 2,562 2,751 2,834 2,981 3,144 2,820 3,175

  6. Texas - RRC District 8A Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) A Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Texas - RRC District 8A Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,485 1980's 1,396 1,486 1,420 1,301 1,272 1,314 1,275 1,271 1,267 1,534 1990's 1,526 1,521 1,585 1,451 1,572 1,318 1,276 1,206 1,097 1,513

  7. Texas - RRC District 8A Natural Gas, Wet After Lease Separation Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 8A Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,556 1980's 1,465 1,545 1,457 1,345 1,315 1,353 1,309 1,301 1,291 1,550 1990's 1,547 1,542 1,598 1,463 1,587 1,333 1,294 1,247 1,115 1,557 2000's 1,215 1,190 1,167 1,137 1,281 1,471 1,384 1,531 1,257

  8. Texas - RRC District 9 Natural Gas, Wet After Lease Separation Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Texas - RRC District 9 Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 808 1980's 751 1,070 1,264 1,100 1,060 1,043 1,024 984 927 829 1990's 917 874 797 814 863 868 870 932 864 1,360 2000's 1,854 2,552 3,210 3,639 4,555 4,734 6,765 7,985 9,548 11,522 2010's 13,172 10,920

  9. U.S. Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) U.S. Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 6,773 6,487 6,315 6,120 6,738 7,471 7,437 7,913 7,495 7,093 2000's 7,010 8,649 8,090 7,417 6,361 5,904 4,835 4,780 5,106 5,223 2010's 5,204

  10. U.S. Federal Offshore Natural Gas, Wet After Lease Separation Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) U.S. Federal Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 31,849 29,914 28,186 27,586 28,813 29,518 29,419 29,011 27,426 26,598 2000's 27,467 27,640 25,862 23,033 19,747 18,252 15,750 14,813 13,892 12,856 2010's 12,120 10,820 9,853 8,567 8,968 - = No Data

  11. U.S. Federal Offshore Nonassociated Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) U.S. Federal Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 25,076 23,427 21,871 21,466 22,075 22,047 21,982 21,098 19,931 19,505 2000's 20,456 18,990 17,772 15,616 13,386 12,348 10,915 10,033 8,786 7,633 2010's 6,916

  12. New Mexico - East Associated-Dissolved Natural Gas, Wet After Lease

    U.S. Energy Information Administration (EIA) Indexed Site

    Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico - East Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,672 1980's 1,533 1,499 1,374 1,323 1,375 1,309 1,232 1,232 1,194 1,200 1990's 1,251 1,398 1,470 1,478 1,544 1,559 1,585 1,314 1,345 1,486 2000's

  13. New Mexico - East Natural Gas, Wet After Lease Separation Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) New Mexico - East Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,306 1980's 3,799 3,876 3,705 3,537 3,492 3,310 2,982 3,133 3,224 3,331 1990's 3,541 3,471 3,418 3,338 3,335 3,207 3,197 3,008 3,039 3,366 2000's 3,998 3,919 4,011 3,661 3,965 4,132 4,295 4,387 4,406 4,558 2010's 4,720

  14. New Mexico - West Natural Gas, Wet After Lease Separation Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) New Mexico - West Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10,085 1980's 10,157 10,686 9,377 8,834 8,535 8,128 9,558 9,488 15,259 13,266 1990's 14,988 16,287 16,981 16,601 15,253 15,540 14,728 13,692 13,220 13,384 2000's 14,511 14,640 14,442 14,565 15,722 15,212 14,809 14,010

  15. New Mexico Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) New Mexico Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,823 1980's 1,689 1,649 1,520 1,503 1,569 1,490 1,446 1,445 1,453 1,378 1990's 1,435 1,554 1,597 1,585 1,641 1,678 1,693 1,420 1,443 1,578 2000's 1,588 1,447 1,482

  16. New Mexico Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) New Mexico Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,391 1980's 13,956 14,562 13,082 12,371 12,027 11,438 12,540 12,621 18,483 16,597 1990's 18,529 19,758 20,399 19,939 18,588 18,747 17,925 16,700 16,259 16,750 2000's 18,509 18,559 18,453 18,226 19,687 19,344 19,104 18,397 17,347 16,644

  17. Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Ohio Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,479 1980's 1,699 965 1,142 2,031 1,542 1,333 1,420 1,071 1,229 1,275 1990's 1,215 1,181 1,161 1,106 1,095 1,054 1,114 985 890 1,179 2000's 1,186 971 1,118 1,127 975 898 975 1,027 985 896 2010's 832 758 1,235 3,201 7,193 - = No Data Reported; -- = Not

  18. Notes on the efficacy of wet versus dry screening of fly ash

    SciTech Connect (OSTI)

    Valentim, B.; Hower, J.C.; Flores, D.; Guedes, A.

    2008-08-15

    The methodology used to obtain fly ash subsamples of different sizes is generally based on wet or dry sieving methods. However, the worth of such methods is not certain if the methodology applied is not mentioned in the analytical procedure. After performing a fly ash mechanical dry, sieving, the authors compared those results with the ones obtained by laser diffraction on the same samples and found unacceptable discrepancies. A preliminary, study of a wet sieving analysis carried out on an economizer fly ash sample showed that this method was more effective than the dry sieving. The importance of standardizing the way samples are handled, pretreated and presented to the instrument of analysis are suggested and interlaboratory reproducibility trials are needed to create a common standard methodology to obtain large amounts of fly ash size fraction subsamples.

  19. Surveillance of LWR spent fuel in wet storage. Final report, October 1984

    SciTech Connect (OSTI)

    Bailey, W.J.; Johnson, A.B. Jr.

    1984-10-01

    Battelle, Pacific Northwest Laboratories established a surveillance program for EPRI that documents the integrity of spent light-water reactor fuel and structural materials (spent fuel storage pool liners, racks, piping, etc.) during wet storage. The program involves providing an update on the overall performance of spent fuel in wet storage, monitoring Licensee Event Reports (LERs) for pertinent significant occurrences, identifying lead spent fuel assemblies that are of particular interest to EPRI, monitoring developments in fuel design and performance and assessing their influence on spent fuel storage characteristics, and identifying specific actions or programs that may be needed to maintain the viability of wet storage of spent fuel for extended periods. Experience to date indicates that wet storage is a well-developed technology with no associated major technological problems. Spent fuel storage pools are operated without substantial risk to the public or the plant personnel. A list of lead spent fuel assemblies is presented. Pertinent occurrences from LERs are listed. Very few fuel assemblies have suffered major mechanical damage as a result of handling operations at spent fuel storage pools. Experience to date with handling operations at spent fuel storage pools indicates that failed fuel rods and inadvertent fracturing of fuel rods can be accommodated. Minor problems have occurred with spent fuel storage pool components such as liners, racks, and piping. Surveillance continues to be needed on: (1) possible effects on handling and storage of spent fuel from extended burnup, hydrogen injection at boiling water reactors, and rod consolidation operations; (2) extended pool exposure of neutron-absorbing materials; (3) cracking of spent fuel storage pool piping at pressurized water reactors; and (4) control of impurities in spent fuel pool waters. 120 references, 13 figures, 10 tables.

  20. Wet-chemical systems and methods for producing black silicon substrates

    DOE Patents [OSTI]

    Yost, Vernon; Yuan, Hao-Chih; Page, Matthew

    2015-05-19

    A wet-chemical method of producing a black silicon substrate. The method comprising soaking single crystalline silicon wafers in a predetermined volume of a diluted inorganic compound solution. The substrate is combined with an etchant solution that forms a uniform noble metal nanoparticle induced Black Etch of the silicon wafer, resulting in a nanoparticle that is kinetically stabilized. The method comprising combining with an etchant solution having equal volumes acetonitrile/acetic acid:hydrofluoric acid:hydrogen peroxide.

  1. Challenges and Opportunities for Wet-Waste Feedstocks…Resource Assessment

    Office of Environmental Management (EM)

    Challenges and Opportunities for Wet-Waste Feedstocks - Resource Assessment CORINNE DRENNAN July 15, 2015 PNNL- 1 Energy and Environment Directorate corinne.drennan@pnnl.gov Bioenergy 2015 24 June 2015 BETO Waste-to-Energy Efforts There is a significant near-term market entry opportunity to develop WTE technologies in the U.S., specifically with regard to anaerobic digestion at landfills to recycle organic waste biomass into renewable energy, thereby enabling a national network of distributed

  2. OVERVIEW OF CRITERIA FOR INTERIM WET & DRY STORAGE OF RESEARCH REACTOR SPENT NUCLEAR FUEL

    SciTech Connect (OSTI)

    Sindelar, R.; Vinson, D.; Iyer, N.; Fisher, D.

    2010-11-03

    Following discharge from research reactors, spent nuclear fuel may be stored 'wet' in water pools or basins, or it may be stored 'dry' in various configurations including non-sealed or sealed containers until retrieved for ultimate disposition. Interim safe storage practices are based on avoiding degradation to the fuel that would impact functions related to safety. Recommended practices including environmental controls with technical bases, are outlined for wet storage and dry storage of aluminum-clad, aluminum-based research reactor fuel. For wet storage, water quality must be maintained to minimize corrosion degradation of aluminum fuel. For dry storage, vented canister storage of aluminum fuel readily provides a safe storage configuration. For sealed dry storage, drying must be performed so as to minimize water that would cause additional corrosion and hydrogen generation. Consideration must also be given to the potential for radiolytically-generated hydrogen from the bound water in the attendant oxyhydroxides on aluminum fuel from reactor operation for dry storage systems.

  3. In Situ Infrared Spectroscopic Study of Forsterite Carbonation in Wet Supercritical CO2

    SciTech Connect (OSTI)

    Loring, John S.; Thompson, Christopher J.; Wang, Zheming; Joly, Alan G.; Sklarew, Deborah S.; Schaef, Herbert T.; Ilton, Eugene S.; Rosso, Kevin M.; Felmy, Andrew R.

    2011-07-19

    Carbonation reactions are central to the prospect of CO2 trapping by mineralization in geologic reservoirs. In contrast to the relevant aqueous-mediated reactions, little is known about the propensity for carbonation in the long-term partner fluid: water-containing supercritical carbon dioxide (wet scCO2). We employed in situ mid-infrared spectroscopy to follow the reaction of a model silicate mineral (forsterite, Mg2SiO4) for 24 hr with wet scCO2 at 50C and 180 atm, using water concentrations corresponding to 0%, 55%, 95%, and 136% saturation. Results show a dramatic dependence of reactivity on water concentration and the presence of liquid water on the forsterite particles. Exposure to neat scCO2 showed no detectable carbonation reaction. At 55% and 95% water saturation, a liquid-like thin water film was detected on the forsterite particles; less than 1% of the forsterite transformed, mostly within the first 3 hours of exposure to the fluid. At 136% saturation, where an (excess) liquid water film approximately several nanometers thick was intentionally condensed on the forsterite, the carbonation reaction proceeded continuously for 24 hr with 10% to 15% transformation. Our collective results suggest constitutive links between water concentration, water film formation, reaction rate and extent, and reaction products in wet scCO2.

  4. Wetting of Sodium on ??-Al2O3/YSZ Composites for Low Temperature Planar Sodium-Metal Halide Batteries

    SciTech Connect (OSTI)

    Reed, David M.; Coffey, Greg W.; Mast, Eric S.; Canfield, Nathan L.; Mansurov, Jirgal; Lu, Xiaochuan; Sprenkle, Vincent L.

    2013-04-01

    Wetting of Na on B-Al2O3/YSZ composites was investigated using the sessile drop technique. The effects of moisture and surface preparation were studied at low temperatures. Electrical conductivity of Na/B-Al2O3-YSZ/Na cells was also investigated at low temperatures and correlated to the wetting behavior. The use of planar B-Al2O3 substrates at low temperature with low cost polymeric seals is realized due to improved wetting at low temperature and conductivity values consistent with the literature.

  5. Non-wetting surface-driven high-aspect-ratio crystalline grain growth for efficient hybrid perovskite solar cells

    SciTech Connect (OSTI)

    Bi, Cheng; Wang, Qi; Shao, Yuchuan; Yuan, Yongbo; Xiao, Zhengguo; Huang, Jinsong

    2015-07-20

    Large-aspect-ratio grains are needed in polycrystalline thin-film solar cells for reduced charge recombination at grain boundaries; however, the grain size in organolead trihalide perovskite (OTP) films is generally limited by the film thickness. Here we report the growth of OTP grains with high average aspect ratio of 2.37.9 on a wide range of non-wetting hole transport layers (HTLs), which increase nucleus spacing by suppressing heterogeneous nucleation and facilitate grain boundary migration in grain growth by imposing less drag force. The reduced grain boundary area and improved crystallinity dramatically reduce the charge recombination in OTP thin films to the level in OTP single crystals. Combining the high work function of several HTLs, a high stabilized device efficiency of 18.3% in low-temperature-processed planar-heterojunction OTP devices under 1 sun illumination is achieved. As a result, this simple method in enhancing OTP morphology paves the way for its application in other optoelectronic devices for enhanced performance.

  6. Non-wetting surface-driven high-aspect-ratio crystalline grain growth for efficient hybrid perovskite solar cells

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bi, Cheng; Wang, Qi; Shao, Yuchuan; Yuan, Yongbo; Xiao, Zhengguo; Huang, Jinsong

    2015-07-20

    Large-aspect-ratio grains are needed in polycrystalline thin-film solar cells for reduced charge recombination at grain boundaries; however, the grain size in organolead trihalide perovskite (OTP) films is generally limited by the film thickness. Here we report the growth of OTP grains with high average aspect ratio of 2.3–7.9 on a wide range of non-wetting hole transport layers (HTLs), which increase nucleus spacing by suppressing heterogeneous nucleation and facilitate grain boundary migration in grain growth by imposing less drag force. The reduced grain boundary area and improved crystallinity dramatically reduce the charge recombination in OTP thin films to the level inmore » OTP single crystals. Combining the high work function of several HTLs, a high stabilized device efficiency of 18.3% in low-temperature-processed planar-heterojunction OTP devices under 1 sun illumination is achieved. As a result, this simple method in enhancing OTP morphology paves the way for its application in other optoelectronic devices for enhanced performance.« less

  7. ,"New Mexico - East Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - East Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  8. ,"New Mexico - West Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - West Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  9. ,"California Federal Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Federal Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  10. ,"Louisiana - North Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - North Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  11. ,"Louisiana - South Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - South Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  12. ,"Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  13. C60 -induced Devil's Staircase transformation on a Pb/Si(111) wetting layer

    SciTech Connect (OSTI)

    Wang, Lin -Lin; Johnson, Duane D.; Tringides, Michael C.

    2015-12-03

    Density functional theory is used to study structural energetics of Pb vacancy cluster formation on C60/Pb/Si(111) to explain the unusually fast and error-free transformations between the “Devil's Staircase” (DS) phases on the Pb/Si(111) wetting layer at low temperature (~110K). The formation energies of vacancy clusters are calculated in C60/Pb/Si(111) as Pb atoms are progressively ejected from the initial dense Pb wetting layer. Vacancy clusters larger than five Pb atoms are found to be stable with seven being the most stable, while vacancy clusters smaller than five are highly unstable, which agrees well with the observed ejection rate of ~5 Pb atoms per C60. Furthermore, the high energy cost (~0.8 eV) for the small vacancy clusters to form indicates convincingly that the unusually fast transformation observed experimentally between the DS phases, upon C60 adsorption at low temperature, cannot be the result of single-atom random walk diffusion but of correlated multi-atom processes.

  14. Process for treating moisture laden coal fines

    DOE Patents [OSTI]

    Davis, Burl E. (New Kensington, PA); Henry, Raymond M. (Gibsonia, PA); Trivett, Gordon S. (South Surrey, CA); Albaugh, Edgar W. (Birmingham, AL)

    1993-01-01

    A process is provided for making a free flowing granular product from moisture laden caked coal fines, such as wet cake, by mixing a water immiscible substance, such as oil, with the caked coal, preferably under low shear forces for a period of time sufficient to produce a plurality of free flowing granules. Each granule is preferably comprised of a dry appearing admixture of one or more coal particle, 2-50% by weight water and the water immiscible substance.

  15. Field Testing of a Wet FGD Additive for Enhanced Mercury Control

    SciTech Connect (OSTI)

    Gary Blythe; MariJon Owens

    2007-12-31

    This document is the final report for DOE-NETL Cooperative Agreement DE-FC26-04NT42309, 'Field Testing of a Wet FGD Additive'. The objective of the project has been to demonstrate the use of two flue gas desulfurization (FGD) additives, Evonik Degussa Corporation's TMT-15 and Nalco Company's Nalco 8034, to prevent the re-emission of elemental mercury (Hg{sup 0}) in flue gas exiting wet FGD systems on coal-fired boilers. Furthermore, the project was intended to demonstrate whether such additives can be used to precipitate most of the mercury (Hg) removed in the wet FGD system as a fine salt that can be separated from the FGD liquor and bulk solid byproducts for separate disposal. The project involved pilot- and full-scale tests of the additives in wet FGD absorbers. The tests were intended to determine required additive dosages to prevent Hg{sup 0} re-emissions and to separate mercury from the normal FGD byproducts for three coal types: Texas lignite/Powder River Basin (PRB) coal blend, high-sulfur Eastern bituminous coal, and low-sulfur Eastern bituminous coal. The project team consists of URS Group, Inc., EPRI, Luminant Power (was TXU Generation Company LP), Southern Company, IPL (an AES company), Evonik Degussa Corporation and the Nalco Company. Luminant Power provided the Texas lignite/PRB co-fired test site for pilot FGD tests and project cost sharing. Southern Company provided the low-sulfur Eastern bituminous coal host site for wet scrubbing tests, the pilot- and full-scale jet bubbling reactor (JBR) FGD systems tested, and project cost sharing. IPL provided the high-sulfur Eastern bituminous coal full-scale FGD test site and cost sharing. Evonik Degussa Corporation provided the TMT-15 additive, and the Nalco Company provided the Nalco 8034 additive. Both companies also supplied technical support to the test program as in-kind cost sharing. The project was conducted in six tasks. Of the six tasks, Task 1 involved project planning and Task 6 involved management and reporting. The other four tasks involved field testing on FGD systems, either at pilot or full scale. These four tasks included: Task 2 - Pilot Additive Testing in Texas Lignite Flue Gas; Task 3 - Full-scale FGD Additive Testing in High-sulfur Eastern Bituminous Flue Gas; Task 4 - Pilot Wet Scrubber Additive Tests at Plant Yates; and Task 5 - Full-scale Additive Tests at Plant Yates. The pilot-scale tests were completed in 2005 and the full-scale test using high-sulfur coal was completed in 2006; only the TMT-15 additive was tested in these efforts. The Task 5 full-scale additive tests conducted at Southern Company's Plant Yates Unit 1 were completed in 2007, and both the TMT-15 and Nalco 8034 additives were tested.

  16. Enhanced-wetting, boron-based liquid-metal ion source and method

    DOE Patents [OSTI]

    Bozack, M.J.; Swanson, L.W.; Bell, A.E.; Clark, W.M. Jr.; Utlaut, M.W.; Storms, E.K.

    1999-02-16

    A binary, boron-based alloy as a source for field-emission-type, ion-beam generating devices, wherein boron predominates in the alloy, preferably with a presence of about 60 atomic percent is disclosed. The other constituent in the alloy is selected from the group of elements consisting of nickel, palladium and platinum. Predominance of boron in these alloys, during operation, promotes combining of boron with trace impurities of carbon in the alloys to form B{sub 4}C and thus to promote wetting of an associated carbon support substrate. 1 fig.

  17. Enhanced-wetting, boron-based liquid-metal ion source and method

    DOE Patents [OSTI]

    Bozack, Michael J. (Opelika, AL); Swanson, Lynwood W. (Portland, OR); Bell, Anthony E. (McMinnville, OR); Clark Jr., William M. (Thousand Oaks, CA); Utlaut, Mark W. (Saugus, CA); Storms, Edmund K. (Los Alamos, NM)

    1999-01-01

    A binary, boron-based alloy as a source for field-emission-type, ion-beam generating devices, wherein boron predominates in the alloy, preferably with a presence of about 60 atomic percent. The other constituent in the alloy is selected from the group of elements consisting of nickel, palladium and platinum. Predominance of boron in these alloys, during operation, promotes combining of boron with trace impurities of carbon in the alloys to form B.sub.4 C and thus to promote wetting of an associated carbon support substrate.

  18. Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) (Billion Cubic Feet) Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation, Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,576 4,651 4,797 4,679 5,045 5,230 4,967 5,000 2000's 4,901 5,027 4,544 4,397 3,967 2,968 2,805 2,762

  19. Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Production from Greater than 200 Meters Deep (Billion Cubic Feet) Greater than 200 Meters Deep (Billion Cubic Feet) Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation, Production from Greater than 200 Meters Deep (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 166 229 294 354 549 577 724 1,124 2000's 1,196 1,367 1,365 1,545 1,251 1,070 1,112 1,050

  20. ,"Crude Oil and Lease Condensate","Wet Natural Gas"

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. proved reserves, and reserves changes, 2013-2014" ,"Crude Oil and Lease Condensate","Wet Natural Gas" ,"billion barrels","trillion cubic feet" "U.S. proved reserves at December 31, 2013",36.52,353.994 " Total discoveries",5.404,50.487 " Net revisions",0.416,0.984 " Net Adjustments, Sales, Acquisitions",0.793,11.47 " Production",-3.2,-28.094 "Net additions to U.S. proved

  1. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, New

    U.S. Energy Information Administration (EIA) Indexed Site

    Field Discoveries (Billion Cubic Feet) Field Discoveries (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 193 1980's 365 335 161 220 156 143 88 110 67 208 1990's 141 69 13 245 530 248 222 1,360 107 394 2000's 387 1,287 229 447 34 119 40 46 107 263 2010's 102 611 151 63 327 - = No Data Reported; -- = Not Applicable; NA = Not

  2. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, New

    U.S. Energy Information Administration (EIA) Indexed Site

    Reservoir Discoveries in Old Fields (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 264 1980's 369 271 365 326 296 341 189 155 339 174 1990's 250 334 292 163 202 634 338 187 218 424 2000's 249 477 331 124 97 79 65 73 820 169 2010's 186 160 229 581 584 -

  3. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Acquisitions (Billion Cubic Feet) Acquisitions (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves Acquisitions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 6,586 845 908 1,062 987 2,071 1,960 1,350 938 678 2010's 2,469 1,884 2,150 2,843 4,589 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  4. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Adjustments (Billion Cubic Feet) Adjustments (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves Adjustments (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,925 1980's 1,053 -1,079 843 1,564 -486 695 425 177 437 415 1990's 57 257 567 -302 163 345 164 262 -706 143 2000's -605 499 499 202 -21 126 -54 276 455 877 2010's -482 390 385 -649 1,396 - = No Data Reported; -- = Not Applicable; NA =

  5. U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Acquisitions (Billion Cubic Feet) Acquisitions (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves Acquisitions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 19,051 13,756 10,185 10,638 12,571 10,235 25,122 14,620 7,910 3,477 2010's 10,879 45,989 5,941 8,630 23,705 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  6. WET-NZ Multi-Mode Wave Energy Converter Advancement Project

    SciTech Connect (OSTI)

    Kopf, Steven

    2013-10-15

    The overall objective of the project was to verify the ocean wavelength functionality of the WET-NZ through targeted hydrodynamic testing at wave tank scale and controlled open sea deployment of a 1/2 scale (1:2) experimental device. This objective was accomplished through a series of tasks designed to achieve four specific goals: Wave Tank Testing to Characterize Hydrodynamic Characteristics;  Open-Sea Testing of a New 1:2 Scale Experimental Model;  Synthesis and Analysis to Demonstrate and Confirm TRL5/6 Status;  Market Impact & Competitor Analysis, Business Plan and Commercialization Strategy.

  7. The effects of digital elevation model resolution on the calculation and predictions of topographic wetness indices.

    SciTech Connect (OSTI)

    Drover, Damion, Ryan

    2011-12-01

    One of the largest exports in the Southeast U.S. is forest products. Interest in biofuels using forest biomass has increased recently, leading to more research into better forest management BMPs. The USDA Forest Service, along with the Oak Ridge National Laboratory, University of Georgia and Oregon State University are researching the impacts of intensive forest management for biofuels on water quality and quantity at the Savannah River Site in South Carolina. Surface runoff of saturated areas, transporting excess nutrients and contaminants, is a potential water quality issue under investigation. Detailed maps of variable source areas and soil characteristics would therefore be helpful prior to treatment. The availability of remotely sensed and computed digital elevation models (DEMs) and spatial analysis tools make it easy to calculate terrain attributes. These terrain attributes can be used in models to predict saturated areas or other attributes in the landscape. With laser altimetry, an area can be flown to produce very high resolution data, and the resulting data can be resampled into any resolution of DEM desired. Additionally, there exist many maps that are in various resolutions of DEM, such as those acquired from the U.S. Geological Survey. Problems arise when using maps derived from different resolution DEMs. For example, saturated areas can be under or overestimated depending on the resolution used. The purpose of this study was to examine the effects of DEM resolution on the calculation of topographic wetness indices used to predict variable source areas of saturation, and to find the best resolutions to produce prediction maps of soil attributes like nitrogen, carbon, bulk density and soil texture for low-relief, humid-temperate forested hillslopes. Topographic wetness indices were calculated based on the derived terrain attributes, slope and specific catchment area, from five different DEM resolutions. The DEMs were resampled from LiDAR, which is a laser altimetry remote sensing method, obtained from the USDA Forest Service at Savannah River Site. The specific DEM resolutions were chosen because they are common grid cell sizes (10m, 30m, and 50m) used in mapping for management applications and in research. The finer resolutions (2m and 5m) were chosen for the purpose of determining how finer resolutions performed compared with coarser resolutions at predicting wetness and related soil attributes. The wetness indices were compared across DEMs and with each other in terms of quantile and distribution differences, then in terms of how well they each correlated with measured soil attributes. Spatial and non-spatial analyses were performed, and predictions using regression and geostatistics were examined for efficacy relative to each DEM resolution. Trends in the raw data and analysis results were also revealed.

  8. Automated catalyst processing for cloud electrode fabrication for fuel cells

    DOE Patents [OSTI]

    Goller, Glen J. (West Springfield, MA); Breault, Richard D. (Coventry, CT)

    1980-01-01

    A process for making dry carbon/polytetrafluoroethylene floc material, particularly useful in the manufacture of fuel cell electrodes, comprises of the steps of floccing a co-suspension of carbon particles and polytetrafluoroethylene particles, filtering excess liquids from the co-suspension, molding pellet shapes from the remaining wet floc solids without using significant pressure during the molding, drying the wet floc pellet shapes within the mold at temperatures no greater than about 150.degree. F., and removing the dry pellets from the mold.

  9. Utah Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Utah Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,017 1980's 1,284 2,057 2,253 2,472 2,325 2,288 2,205 2,341 1,984 1,940 1990's 1,887 2,001 2,018 2,198 1,917 1,701 1,747 2,005 2,502 3,371 2000's 4,472 4,753 4,274 3,617 3,951 4,359 5,211 6,463 6,714 7,411 2010's 7,146 8,108 7,775 7,057 6,970 - = No Data

  10. Computaional Modeling of the Stability of Crevice Corrosion of Wetted SS316L

    SciTech Connect (OSTI)

    F. Cui; F.J. Presuel-Moreno; R.G. Kelly

    2006-04-17

    The stability of localized corrosion sites on SS 316L exposed to atmospheric conditions was studied computationally. The localized corrosion system was decoupled computationally by considering the wetted cathode and the crevice anode separately and linking them via a constant potential boundary condition at the mouth of the crevice. The potential of interest for stability was the repassivation potential. The limitations on the ability of the cathode that are inherent due to the restricted geometry were assessed in terms of the dependence on physical and electrochemical parameters. Physical parameters studied include temperature, electrolyte layer thickness, solution conductivity, and the size of the cathode, as well as the crevice gap for the anode. The current demand of the crevice was determined considering a constant crevice solution composition that simulates the critical crevice solution as described in the literature. An analysis of variance showed that the solution conductivity and the length of the cathode were the most important parameters in determining the total cathodic current capacity of the external surface. A semi-analytical equation was derived for the total current from a restricted geometry held at a constant potential at one end. The equation was able to reproduce all the model computation results both for the wetted external cathode and the crevice and give good explanation on the effects of physicochemical and kinetic parameters.

  11. Surface contouring by controlled application of processing fluid using Marangoni effect

    DOE Patents [OSTI]

    Rushford, Michael C. (Livermore, CA); Britten, Jerald A. (Oakley, CA)

    2003-04-29

    An apparatus and method for modifying the surface of an object by contacting said surface with a liquid processing solution using the liquid applicator geometry and Marangoni effect (surface tension gradient-driven flow) to define and confine the dimensions of the wetted zone on said object surface. In particular, the method and apparatus involve contouring or figuring the surface of an object using an etchant solution as the wetting fluid and using realtime metrology (e.g. interferometry) to control the placement and dwell time of this wetted zone locally on the surface of said object, thereby removing material from the surface of the object in a controlled manner. One demonstrated manifestation is in the deterministic optical figuring of thin glasses by wet chemical etching using a buffered hydrofluoric acid solution and Marangoni effect.

  12. Full-Scale Testing of a Mercury Oxidation Catalyst Upstream of a Wet FGD System

    SciTech Connect (OSTI)

    Gary Blythe; Jennifer Paradis

    2010-06-30

    This document presents and discusses results from Cooperative Agreement DE-FC26-06NT42778, 'Full-scale Testing of a Mercury Oxidation Catalyst Upstream of a Wet FGD System,' which was conducted over the time-period July 24, 2006 through June 30, 2010. The objective of the project was to demonstrate at full scale the use of solid honeycomb catalysts to promote the oxidation of elemental mercury in pulverized-coal-fired flue gas. Oxidized mercury is removed downstream in wet flue gas desulfurization (FGD) absorbers and collected with the byproducts from the FGD system. The project was co-funded by EPRI, the Lower Colorado River Authority (LCRA), who also provided the host site, Great River Energy, Johnson Matthey, Southern Company, Salt River Project (SRP), the Tennessee Valley Authority (TVA), NRG Energy, Ontario Power and Westar. URS Group was the prime contractor and also provided cofunding. The scope of this project included installing and testing a gold-based catalyst upstream of one full-scale wet FGD absorber module (about 200-MW scale) at LCRA's Fayette Power Project (FPP) Unit 3, which fires Powder River Basin coal. Installation of the catalyst involved modifying the ductwork upstream of one of three wet FGD absorbers on Unit 3, Absorber C. The FGD system uses limestone reagent, operates with forced sulfite oxidation, and normally runs with two FGD modules in service and one spare. The full-scale catalyst test was planned for 24 months to provide catalyst life data. Over the test period, data were collected on catalyst pressure drop, elemental mercury oxidation across the catalyst module, and mercury capture by the downstream wet FGD absorber. The demonstration period began on May 6, 2008 with plans for the catalyst to remain in service until May 5, 2010. However, because of continual increases in pressure drop across the catalyst and concerns that further increases would adversely affect Unit 3 operations, LCRA decided to end the demonstration early, during a planned unit outage. On October 2, 2009, Unit 3 was taken out of service for a fall outage and the catalyst upstream of Absorber C was removed. This ended the demonstration after approximately 17 months of the planned 24 months of operation. This report discusses reasons for the pressure drop increase and potential measures to mitigate such problems in any future application of this technology. Mercury oxidation and capture measurements were made on Unit 3 four times during the 17-month demonstration. Measurements were performed across the catalyst and Absorber C and 'baseline' measurements were performed across Absorber A or B, which did not have a catalyst upstream. Results are presented in the report from all four sets of measurements during the demonstration period. These results include elemental mercury oxidation across the catalyst, mercury capture across Absorber C downstream of the catalyst, baseline mercury capture across Absorber A or B, and mercury re-emissions across both absorbers in service. Also presented in the report are estimates of the average mercury control performance of the oxidation catalyst technology over the 17-month demonstration period and the resulting mercury control costs.

  13. Production development and utilization of Zimmer Station wet FGD by-products. Final report. Volume 1, Executive summary

    SciTech Connect (OSTI)

    Smith, Kevin; Beeghly, Joel H.

    2000-11-30

    About 30 electric utility units with a combined total of 15,000 MW utilize magnesium enhanced lime flue gas desulfurization (FGD) systems. A disadvantage of this and other inhibited or natural oxidation wet FGD systems is the capital and operating cost associated with landfill disposal of the calcium sulfite based solids. Fixation to stabilize the solids for compaction in a landfill also consumes fly ash that otherwise may be marketable. This Executive Summary describes efforts to dewater the magnesium hydroxide and gypsum slurries and then process the solids into a more user friendly and higher value form. To eliminate the cost of solids disposal in its first generation Thiosorbic® system, the Dravo Lime Company developed the ThioClear® process that utilizes a magnesium based absorber liquor to remove S02 with minimal suspended solids. Magnesium enhanced lime is added to an oxidized bleed stream of thickener overflow (TOF) to produce magnesium hydroxide [Mg(OH)2] and gypsum (CaS04 • 2H20), as by-products. This process was demonstrated at the 3 to 5 MW closed loop FGD system pilot plant at the Miami Fort Station of Cinergy, near Cincinnati, Ohio with the help of OCDO Grant Agreement CDO/D-91-6. A similar process strictly for'recovery and reuse of Mg(OH)2 began operation at the Zimmer Station of Cinergy in late 1994 that can produce 900 pounds of Mg(OH)2 per hour and 2,600 pounds of gypsum per hour. This by-product plant, called the Zimmer Slipstream Magnesium Hydroxide Recovery Project Demonstration, was conducted with the help of OCDO Grant Agreement CDO/D-921-004. Full scale ThioClear® plants began operating in 1997 at the 130 MW Applied Energy Services plant, in Monaca, PA, and in year 2000 at the 1,330 MW Allegheny Energy Pleasants Station at St. Marys, WV.

  14. Wetting behavior of selected crude oil/brine/rock systems. Topical report, March 1, 1995--March 31, 1996

    SciTech Connect (OSTI)

    Zhou, X.; Morrow, N.R.; Ma, S.

    1996-12-31

    Previous studies of crude oil/brine/rock (COBR) and related ensembles showed that wettability and its effect on oil recovery depend on numerous complex interactions. In the present work, the wettability of COBR ensembles prepared using Prudhoe Bay crude oil, a synthetic formation brine, and Berea Sandstone was varied by systematic change in initial water saturation and length of aging time at reservoir temperature (88 C). All displacement tests were run at ambient temperature. Various degrees of water wetness were achieved and quantified by a modified Amott wettability index to water, the relative pseudo work of imbibition, and a newly defined apparent advancing dynamic contact angle. Pairs of spontaneous imbibition (oil recovery by spontaneous imbibition of water) and waterflood (oil recovery vs. pore volumes of water injected) curves were measured for each of the induced wetting states. Several trends were observed. Imbibition rate, and hence water wetness, decreased with increase in aging time and with decrease in initial water saturation. Breakthrough recoveries and final oil recovery by waterflooding increased with decrease in water wetness. Correlations between water wetness and oil recovery by waterflooding and spontaneous imbibition are presented.

  15. Alternative Fuel for Portland Cement Processing

    SciTech Connect (OSTI)

    Anton K. Schindler; Steve R. Duke; Thomas E. Burch; Edward W. Davis; Ralph H. Zee; David I. Bransby; Carla Hopkins; Rutherford L. Thompson; Jingran Duan; Vignesh Venkatasubramanian; Stephen Giles.

    2012-06-30

    The production of cement involves a combination of numerous raw materials, strictly monitored system processes, and temperatures on the order of 1500 °C. Immense quantities of fuel are required for the production of cement. Traditionally, energy from fossil fuels was solely relied upon for the production of cement. The overarching project objective is to evaluate the use of alternative fuels to lessen the dependence on non-renewable resources to produce portland cement. The key objective of using alternative fuels is to continue to produce high-quality cement while decreasing the use of non-renewable fuels and minimizing the impact on the environment. Burn characteristics and thermodynamic parameters were evaluated with a laboratory burn simulator under conditions that mimic those in the preheater where the fuels are brought into a cement plant. A drop-tube furnace and visualization method were developed that show potential for evaluating time- and space-resolved temperature distributions for fuel solid particles and liquid droplets undergoing combustion in various combustion atmospheres. Downdraft gasification has been explored as a means to extract chemical energy from poultry litter while limiting the throughput of potentially deleterious components with regards to use in firing a cement kiln. Results have shown that the clinkering is temperature independent, at least within the controllable temperature range. Limestone also had only a slight effect on the fusion when used to coat the pellets. However, limestone addition did display some promise in regards to chlorine capture, as ash analyses showed chlorine concentrations of more than four times greater in the limestone infused ash as compared to raw poultry litter. A reliable and convenient sampling procedure was developed to estimate the combustion quality of broiler litter that is the best compromise between convenience and reliability by means of statistical analysis. Multi-day trial burns were conducted at a full-scale cement plant with alternative fuels to examine their compatibility with the cement production process. Construction and demolition waste, woodchips, and soybean seeds were used as alternative fuels at a full-scale cement production facility. These fuels were co-fired with coal and waste plastics. The alternative fuels used in this trial accounted for 5 to 16 % of the total energy consumed during these burns. The overall performance of the portland cement produced during the various trial burns performed for practical purposes very similar to the cement produced during the control burn. The cement plant was successful in implementing alternative fuels to produce a consistent, high-quality product that increased cement performance while reducing the environmental footprint of the plant. The utilization of construction and demolition waste, woodchips and soybean seeds proved to be viable replacements for traditional fuels. The future use of these fuels depends on local availability, associated costs, and compatibility with a facility??s production process.

  16. Controlling RPV embrittlement through wet annealing in support of life attainment and life extension decisions

    SciTech Connect (OSTI)

    Krasikov, E. A.

    2012-07-01

    As a main barrier against radioactivity outlet reactor pressure vessel (RPV) is a key component in terms of Nuclear Power Plant (NPP) safety. Therefore present-day demands in RPV reliability enhance have to be met by all possible actions for RPV in-service embrittlement mitigation. Annealing treatment is known to be the effective measure to restore the RPV metal properties deteriorated by neutron irradiation. Low temperature 'wet' annealing at a maximum coolant temperature which can be obtained using the reactor core or primary circuit pumps, although it cannot be expected to produce complete recovery, is more attractive from the practical point of view especially in cases when the removal of the internals is impossible. As a rule there is no recovery effect up to annealing and irradiation temperature difference of 70 deg. C. It is known, however, that along with radiation embrittlement neutron irradiation may mitigate the radiation damage in metals. Therefore we have tried to test the possibility to use the effect of radiation-induced ductilization in 'wet' annealing technology by means of nuclear heat utilization as heat and neutron irradiation sources at once. In support of the above-mentioned conception the 3-year duration reactor experiment on 15Cr3NiMoV type steel with preliminary irradiation at operating Pressurized Water Reactor (PWR) at 270 deg. C and following extra irradiation (87 h at 330 deg. C) at IR-8 test reactor was fulfilled. In fact, embrittlement was partly suppressed up to value equivalent to 1,5 fold neutron fluence decrease. The degree of recovery in case of radiation enhanced annealing is equal to 27% whereas furnace annealing results in zero effect under existing conditions. Mechanism of the radiation-induced damage mitigation is proposed. It is hoped that 'wet' annealing technology will help provide a better management of the RPV degradation as a factor affecting the lifetime of nuclear power plants which, together with associated management methods, will help facilitate safe and economic long-term operation of PWRs. (authors)

  17. 2010 Dry and 2009 - 2010 Wet Season Branchiopod Survey Report, Site 300

    SciTech Connect (OSTI)

    Dexter, W

    2011-03-14

    Lawrence Livermore National Laboratory (LLNL) requested that Condor Country Consulting, Inc. (CCCI) perform wet season surveys and manage the dry season sampling for listed branchiopods in two ponded locations within the Site 300 Experimental Test Site. Site 300 is located in Alameda and San Joaquin Counties, located between the Cities of Livermore and Tracy. The two pool locations have been identified for possible amphibian enhancement activities in support of the Compensation Plan for impacts tied to the Building 850 soil clean-up project. The Building 850 project design resulted in formal consultation with the U.S. Fish and Wildlife Service (USFWS) as an amendment (File 81420-2009-F-0235) to the site-wide Biological Opinion (BO) (File 1-1-02-F-0062) in the spring of 2009 and requires mitigation for the California tiger salamander (AMCA, Ambystoma californiense) and California red-legged frog (CRLF, Rana draytonii) habitat loss. Both pools contain breeding AMCA, but do not produce metamorphs due to limited hydroperiod. The pool to the southeast (Pool BC-FS-2) is the preferred site for amphibian enhancement activities, and the wetland to northwest (Pool OA-FS-1) is the alternate location for enhancement. However, prior to enhancement, LLNL has been directed by USFWS (BO Conservation Measure 17 iii) to 'conduct USFWS protocol-level branchiopod surveys to determine whether listed brachiopod species are present within the compensation area.' CCCI conducted surveys for listed branchiopods in the 2009-2010 wet season to determine the presence of federally-listed branchiopods at the two pools (previous surveys with negative findings were performed by CCCI in 2001-2002 and 2002-2003 onsite). Surveys were conducted to partially satisfy the survey requirements of the USFWS 'Interim Survey Guidelines to Permittees for Recovery Permits under Section 10(a)(1)(A) of the Endangered Species Act for the Listed Vernal Pool Branchiopods' ('Guidelines, USFWS 1996 and BO Conservation Measure 17 iii). The dry sampling (included as an Appendix D) followed the wet season surveys in the summer of 2010.

  18. Dependence of waterflood remaining oil saturation on relative permeability, capillary pressure, and reservoir parameters in mixed-wet turbidite sands

    SciTech Connect (OSTI)

    Hirasaki, G.J.

    1996-05-01

    The dependence of waterflood oil recovery on relative permeability, capillary pressure, and reservoir parameters was investigated by numerical simulation. The relative permeability and capillary pressure curves were based on laboratory measurements on unconsolidated sands. The water-wet case is based on the assumption that the system is water-wet and measurements were made with refined oil. The mixed-wet case assumed that the system is mixed-wet and restored-state measurements were made with crude oil. The reservoir model was a prototype turbidite sand with a range of thickness and permeability values. The economic oil recovery was based on an economic limit water cut of 50%. The remaining oil saturation (ROS) in the swept region for the water-wet cases was close to the residual oil saturation. The ROS of the mixed-wet cases ranged from low values near the residual oil saturation to far above the residual oil saturation. It is dependent on the reservoir parameters that govern (1) the vertical film surface drainage of oil by gravity, (2) accumulation of a high oil saturation and thus a high relative permeability under the caprock, and (3) up-dip migration of the oil that accumulated under the caprock. The dependence on the reservoir parameters can be summarized by dimensionless groups. There is a dimensionless time for the vertical displacement of oil by gravity. The accumulation of a high oil saturation under the caprock is dependent on the ratio of the capillary transition zone and the sand thickness. The updip migration is dependent on a combination of the gravity number and the endpoint mobility ratio.

  19. Prospects for Reducing the Processing Cost of Lithium Ion Batteries

    SciTech Connect (OSTI)

    Wood III, David L; Li, Jianlin; Daniel, Claus

    2014-01-01

    A detailed processing cost breakdown is given for lithium-ion battery (LIB) electrodes, which focuses on: 1) elimination of toxic, costly N-methylpyrrolidone (NMP) dispersion chemistry; 2) doubling the thicknesses of the anode and cathode to raise energy density; and 3) reduction of the anode electrolyte wetting and SEI-layer formation time. These processing cost reduction technologies generically adaptable to any anode or cathode cell chemistry and are being implemented at ORNL. This paper shows step by step how these cost savings can be realized in existing or new LIB manufacturing plants using a baseline case of thin (power) electrodes produced with NMP processing and a standard 10-14-day wetting and formation process. In particular, it is shown that aqueous electrode processing can cut the electrode processing cost and energy consumption by an order of magnitude. Doubling the thickness of the electrodes allows for using half of the inactive current collectors and separators, contributing even further to the processing cost savings. Finally wetting and SEI-layer formation cost savings are discussed in the context of a protocol with significantly reduced time. These three benefits collectively offer the possibility of reducing LIB pack cost from $502.8 kWh-1-usable to $370.3 kWh-1-usable, a savings of $132.5/kWh (or 26.4%).

  20. Linear relationship between water wetting behavior and microscopic interactions of super-hydrophilic surfaces

    SciTech Connect (OSTI)

    Liu, Jian; Guo, Pan; University of Chinese Academy of Sciences, Beijing 100049 ; Wang, Chunlei; Shi, Guosheng Fang, Haiping

    2013-12-21

    Using molecular dynamics simulations, we show a fine linear relationship between surface energies and microscopic Lennard-Jones parameters of super-hydrophilic surfaces. The linear slope of the super-hydrophilic surfaces is consistent with the linear slope of the super-hydrophobic, hydrophobic, and hydrophilic surfaces where stable water droplets can stand, indicating that there is a universal linear behavior of the surface energies with the water-surface van der Waals interaction that extends from the super-hydrophobic to super-hydrophilic surfaces. Moreover, we find that the linear relationship exists for various substrate types, and the linear slopes of these different types of substrates are dependent on the surface atom density, i.e., higher surface atom densities correspond to larger linear slopes. These results enrich our understanding of water behavior on solid surfaces, especially the water wetting behaviors on uncharged super-hydrophilic metal surfaces.

  1. Reactivity of perovskites with water: Role of hydroxylation in wetting and implications for oxygen electrocatalysis

    SciTech Connect (OSTI)

    Stoerzinger, Kelsey A.; Hong, Wesley T.; Azimi, Gisele; Crumlin, Ethan J.; Biegalski, Michael D.; Bluhm, Hendrik; Varanasi, Kripa K.; Shao-Horn, Yang; Giordano, Livia; Lee, Yueh -Lin

    2015-07-15

    Oxide materials play an important role in technical applications such as gas sensing and catalysis, where they can react notably with water in vapor or liquid form. We find that the coverage of (*OH) measured at fixed relative humidity trends with the electron donor (basic) character of wetted perovskite oxide surfaces, corresponding to low contact angles when removing a droplet of water. We report for the first time that the affinity toward hydroxylation, coincident with strong adsorption energies calculated for dissociative and molecular adsorption of water, leads to strong H-bonding detrimental to catalysis of the oxygen reduction reaction (ORR). Furthermore, this suggests that hydrophobic oxides with low tendency to hydroxylate may demonstrate improved catalytic activity for the ORR.

  2. Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Production from Less than 200 Meters Deep (Billion Cubic Feet) Less than 200 Meters Deep (Billion Cubic Feet) Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation, Production from Less than 200 Meters Deep (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,410 4,422 4,503 4,315 4,496 4,653 4,243 3,876 2000's 3,705 3,660 3,180 2,852 2,716 1,898 1,692 1,712

  3. Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) (Billion Cubic Feet) Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27,050 26,463 27,626 28,229 28,153 28,455 26,937 26,062 2000's 26,891 27,100 25,347 22,522 19,288 17,427 14,938 14,008 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  4. Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves from Greater than 200 Meters Deep (Billion Cubic Feet) Greater than 200 Meters Deep (Billion Cubic Feet) Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation, Proved Reserves from Greater than 200 Meters Deep (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3,273 3,495 4,772 5,811 6,389 7,491 7,575 7,726 2000's 8,731 11,229 10,540 10,041 8,591 8,042 6,690 4,120

  5. Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves from Less than 200 Meters Deep (Billion Cubic Feet) Less than 200 Meters Deep (Billion Cubic Feet) Gulf of Mexico Federal Offshore Natural Gas, Wet After Lease Separation, Proved Reserves from Less than 200 Meters Deep (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 23,777 22,968 22,854 22,418 21,764 20,964 19,362 18,336 2000's 18,160 15,871 14,807 12,481 10,698 9,385 8,248 9,888

  6. Gulf of Mexico Federal Offshore Percentage of Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Production from Greater than 200 Meters Deep (Percent) Production from Greater than 200 Meters Deep (Percent) Gulf of Mexico Federal Offshore Percentage of Natural Gas, Wet After Lease Separation, Production from Greater than 200 Meters Deep (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.6 4.9 6.1 7.8 10.9 11.0 14.6 22.5 2000's 24.4 27.2 30.0 35.1 31.5 36.1 39.6 29.8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

  7. Gulf of Mexico Federal Offshore Percentage of Natural Gas, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation, Proved Reserves from Greater than 200 Meters Deep (Percent) Proved Reserves from Greater than 200 Meters Deep (Percent) Gulf of Mexico Federal Offshore Percentage of Natural Gas, Wet After Lease Separation, Proved Reserves from Greater than 200 Meters Deep (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.1 13.2 17.3 20.6 22.7 26.3 28.1 29.6 2000's 32.5 41.4 41.6 44.6 44.5 46.1 44.8 29.4 - = No Data Reported; -- = Not Applicable; NA

  8. Reactivity of perovskites with water: Role of hydroxylation in wetting and implications for oxygen electrocatalysis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Stoerzinger, Kelsey A.; Hong, Wesley T.; Azimi, Gisele; Crumlin, Ethan J.; Biegalski, Michael D.; Bluhm, Hendrik; Varanasi, Kripa K.; Shao-Horn, Yang; Giordano, Livia; Lee, Yueh -Lin

    2015-07-15

    Oxide materials play an important role in technical applications such as gas sensing and catalysis, where they can react notably with water in vapor or liquid form. We find that the coverage of (*OH) measured at fixed relative humidity trends with the electron donor (basic) character of wetted perovskite oxide surfaces, corresponding to low contact angles when removing a droplet of water. We report for the first time that the affinity toward hydroxylation, coincident with strong adsorption energies calculated for dissociative and molecular adsorption of water, leads to strong H-bonding detrimental to catalysis of the oxygen reduction reaction (ORR). Furthermore,more » this suggests that hydrophobic oxides with low tendency to hydroxylate may demonstrate improved catalytic activity for the ORR.« less

  9. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation,

    U.S. Energy Information Administration (EIA) Indexed Site

    Estimated Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,405 1980's 3,405 3,316 3,248 3,355 3,518 3,454 3,443 3,351 3,192 3,099 1990's 2,936 2,968 3,031 2,868 2,907 2,886 2,938 3,022 3,136 3,313 2000's 3,299 3,193 2,988 2,855 2,742

  10. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Extensions (Billion Cubic Feet) Extensions (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves Extensions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,139 1980's 1,861 1,537 1,351 977 1,182 1,099 758 542 498 760 1990's 615 737 760 867 850 857 991 1,116 727 586 2000's 2,683 1,194 852 817 907 1,032 810 1,098 1,488 2,669 2010's 2,660 5,957 10,030 9,630 9,962 - = No Data Reported; -- = Not

  11. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Revision Decreases (Billion Cubic Feet) Decreases (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves Revision Decreases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,209 1980's 2,941 2,561 4,516 3,815 2,999 3,163 2,903 2,755 27,612 3,130 1990's 2,571 3,479 1,844 2,723 3,002 2,328 2,013 3,241 3,937 8,705 2000's 4,546 3,232 2,637 2,790 3,170 2,034 2,782 1,804 7,385 2,698 2010's 3,964

  12. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Revision Increases (Billion Cubic Feet) Increases (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves Revision Increases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4,517 1980's 5,283 4,349 5,580 3,695 4,313 4,308 3,856 3,734 4,152 4,603 1990's 4,804 3,698 2,850 3,239 4,519 3,527 3,234 4,925 5,005 11,226 2000's 3,884 3,259 3,587 3,044 4,009 3,281 5,372 5,400 2,943 5,522 2010's 4,983

  13. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Sales (Billion Cubic Feet) Sales (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Reserves Sales (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 6,921 1,145 1,064 1,040 1,004 1,655 1,726 1,115 662 564 2010's 1,146 1,338 1,131 1,733 4,058 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  14. U.S. Natural Gas, Wet After Lease Separation New Reservoir Discoveries in

    U.S. Energy Information Administration (EIA) Indexed Site

    Old Fields (Billion Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,637 1980's 2,648 3,080 3,520 3,071 2,778 3,053 1,855 1,556 1,979 2,313 1990's 2,492 1,655 1,773 1,930 3,606 2,518 3,209 2,455 2,240 2,265 2000's 2,463 2,898 1,752 1,653 1,244 1,243 1,197 1,244 1,678 2,656 2010's

  15. U.S. Natural Gas, Wet After Lease Separation Reserves Acquisitions (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) Acquisitions (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Acquisitions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 25,641 14,600 11,093 11,700 13,558 12,306 27,082 15,970 8,848 4,155 2010's 13,348 47,873 8,091 11,473 28,294 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  16. U.S. Natural Gas, Wet After Lease Separation Reserves Adjustments (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) Adjustments (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Adjustments (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,356 1980's 1,253 2,057 2,598 4,363 -2,413 -1,299 2,137 1,199 2,180 2,537 1990's 1,494 3,368 2,543 1,048 1,977 889 4,288 -730 -1,624 1,102 2000's -1,295 1,849 4,006 2,323 170 1,693 946 990 271 5,923 2010's 1,292 2,715 -810 693 4,905 - = No Data Reported; -- = Not Applicable; NA

  17. U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 20,079 1980's 19,500 19,554 18,292 16,590 18,032 16,798 16,401 16,904 17,466 17,752 1990's 18,003 18,012 18,269 18,641 19,210 18,874 19,783 20,134 19,622 19,856 2000's 20,164 20,642 20,248 20,231 20,017 19,259 19,373 20,318 21,415 22,537 2010's 23,224

  18. U.S. Natural Gas, Wet After Lease Separation Reserves New Field Discoveries

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,279 1980's 2,629 3,870 2,785 1,628 2,584 1,040 1,122 1,128 1,677 1,488 1990's 2,041 871 668 927 1,941 1,709 1,491 2,747 1,116 1,622 2000's 2,055 3,668 1,374 1,252 790 973 425 814 1,229 1,423 2010's 895 987 780 263 671 - = No Data Reported; -- = Not

  19. U.S. Natural Gas, Wet After Lease Separation Reserves Revision Decreases

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Decreases (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Revision Decreases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 17,300 1980's 16,531 14,413 20,141 18,385 15,418 17,045 18,557 14,933 39,569 24,624 1990's 14,024 16,189 12,532 12,853 16,509 13,457 13,757 17,655 23,419 33,051 2000's 16,938 21,617 20,202 22,495 27,291 20,647 23,739 17,468 35,195 34,563 2010's 38,339 56,127 88,119

  20. U.S. Natural Gas, Wet After Lease Separation Reserves Revision Increases

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Increases (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Revision Increases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 17,077 1980's 17,668 17,156 20,596 18,442 18,751 19,732 22,392 18,455 24,638 27,844 1990's 19,861 20,758 18,906 18,394 22,345 21,548 18,034 22,712 29,401 44,233 2000's 24,394 19,179 21,240 20,780 28,116 23,362 21,640 33,404 31,941 32,664 2010's 42,394 56,015 42,505

  1. U.S. Natural Gas, Wet After Lease Separation Reserves Sales (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) Sales (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Sales (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 21,355 11,885 10,665 10,593 11,583 9,632 23,904 15,518 7,911 4,377 2010's 10,582 44,575 9,950 10,186 21,729 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  2. U.S. Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    U.S. Energy Information Administration (EIA) Indexed Site

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 16,674 1980's 16,095 16,238 15,044 13,235 14,514 13,344 12,958 13,553 14,274 14,653 1990's 15,067 15,044 15,238 15,773 16,303 15,988 16,845 17,112 16,486 16,543 2000's 16,863 17,451 17,260

  3. U.S. Nonassociated Natural Gas, Wet After Lease Separation, New Field

    U.S. Energy Information Administration (EIA) Indexed Site

    Discoveries (Billion Cubic Feet) New Field Discoveries (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,086 1980's 2,264 3,535 2,624 1,408 2,428 897 1,034 1,018 1,610 1,280 1990's 1,900 802 655 682 1,411 1,461 1,269 1,387 1,009 1,228 2000's 1,664 2,378 1,145 805 756 854 385 768 1,122 1,160 2010's 793 376 629 200 344 - = No Data

  4. U.S. Nonassociated Natural Gas, Wet After Lease Separation, New Reservoir

    U.S. Energy Information Administration (EIA) Indexed Site

    Discoveries in Old Fields (Billion Cubic Feet) Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,373 1980's 2,279 2,809 3,155 2,745 2,482 2,712 1,666 1,401 1,640 2,139 1990's 2,242 1,321 1,481 1,767 3,404 1,884 2,871 2,268 2,022 1,841 2000's 2,211 2,420 1,421 1,529 1,147 1,164

  5. U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Adjustments (Billion Cubic Feet) Adjustments (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves Adjustments (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,431 1980's 200 3,136 1,755 2,799 -1,927 -1,994 1,712 1,022 1,743 2,122 1990's 1,437 3,111 1,976 1,350 1,814 544 4,124 -992 -918 959 2000's -671 1,355 3,505 2,121 191 1,567 1,000 714 -184 5,046 2010's 1,774 2,325 -1,195 1,342 3,509 - = No Data

  6. U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Revision Decreases (Billion Cubic Feet) Decreases (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves Revision Decreases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 13,091 1980's 13,590 11,852 15,625 14,570 12,419 13,882 15,654 12,178 11,957 21,494 1990's 11,453 12,710 10,688 10,130 13,507 11,129 11,744 14,414 19,482 24,346 2000's 12,394 18,385 17,565 19,705 24,121 18,613 20,957 15,664 27,810

  7. U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    Revision Increases (Billion Cubic Feet) Increases (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, Reserves Revision Increases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 12,560 1980's 12,385 12,807 15,016 14,747 14,438 15,424 18,536 14,721 20,486 23,241 1990's 15,057 17,060 16,056 15,155 17,826 18,021 14,800 17,787 24,396 33,007 2000's 20,505 15,917 17,653 17,736 24,107 20,081 16,268 28,004 28,998

  8. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

    U.S. Energy Information Administration (EIA) Indexed Site

    Reserves (Billion Cubic Feet) Proved Reserves (Billion Cubic Feet) U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 59,425 1980's 62,010 61,546 62,082 61,694 60,638 60,607 59,577 58,189 32,878 32,809 1990's 33,169 31,817 31,424 30,045 30,400 30,797 30,795 32,382 30,660 31,415 2000's 29,833 29,824 29,541 28,552 27,649 28,236 29,640 32,668 29,023 33,383

  9. U.S. Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    Feet) Proved Reserves (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 208,335 1980's 206,259 209,434 209,254 209,046 205,984 202,202 201,109 196,428 176,999 175,428 1990's 177,576 175,325 173,309 170,490 171,939 173,476 175,147 175,721 172,443 176,159 2000's 186,510 191,743 195,561 197,145 201,200 213,308 220,416 247,789 255,035 283,879 2010's 317,647

  10. U.S. Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves

    U.S. Energy Information Administration (EIA) Indexed Site

    (Billion Cubic Feet) Proved Reserves (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 148,910 1980's 144,249 147,888 147,172 147,352 145,346 141,595 141,532 138,239 144,121 142,619 1990's 144,407 143,508 141,885 140,445 141,539 142,679 144,352 143,339 141,783 144,744 2000's 156,677 161,921 166,020 168,593 173,551 185,072 190,776 215,121

  11. ,"Montana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  12. ,"New Mexico - East Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - East Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"New Mexico - West Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - West Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"New Mexico Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  15. ,"New Mexico Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"New Mexico Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  17. ,"North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  18. ,"North Dakota Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  19. ,"North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  20. ,"Ohio Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  1. ,"Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next

  2. ,"Oklahoma Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  3. ,"Oklahoma Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  4. ,"Pennsylvania Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  5. ,"Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  6. ,"Texas - RRC District 2 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas - RRC District 2 Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next

  7. ,"U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. ,"U.S. Federal Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Federal Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  9. ,"U.S. Federal Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Federal Offshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  10. ,"U.S. Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"U.S. Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  12. ,"Utah Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  13. ,"Utah Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next

  14. ,"Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  15. ,"Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  16. ,"Wyoming Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  17. ,"Wyoming Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  18. Corrosiveness of wet residential building thermal insulation---Mechanisms and evaluation of electrochemical methods for assessing corrosion behavior

    SciTech Connect (OSTI)

    Stansbury, E.E. , Knoxville, TN )

    1991-10-01

    An evaluation has been made of the corrosiveness of selected wet residential building thermal insulation materials in contact with low carbon steel. Investigations were conducted both in wet insulations and in filtered leachates from insulations derived from thirteen cellulosic, three mineral fiber and four foam products. Potentiodynamic polarization measurements are reported from which the overall corrosion response was assessed and then the techniques of Tafel and polarization resistance analysis applied to estimate corrosion rates. Corrosion rates were also estimated electrochemically using a direct reading instrument which performs the rate calculation based on the polarization resistance principle. Direct determinations of corrosion rate were based on weight loss measurements.

  19. ,"Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  20. ,"Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  1. ,"Alaska Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  2. ,"Alaska Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  3. ,"Arkansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  4. ,"Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  5. ,"California - Coastal Region Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Coastal Region Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  6. ,"California - Coastal Region Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Coastal Region Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  7. ,"California - Los Angeles Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Los Angeles Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  8. ,"California - San Joaquin Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  9. ,"California Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  10. ,"California Federal Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Federal Offshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next

  11. ,"California Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  12. ,"Colorado Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  13. ,"Colorado Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  14. ,"Florida Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  15. ,"Florida Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  16. ,"Kansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  17. ,"Kansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  18. ,"Kentucky Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  19. ,"Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  20. ,"Louisiana - North Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - North Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  1. ,"Louisiana - North Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - North Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  2. ,"Louisiana - South Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - South Onshore Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  3. ,"Louisiana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  4. ,"Louisiana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  5. ,"Lower 48 States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  6. ,"Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  7. ,"Michigan Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  8. ,"Michigan Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  9. ,"Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  10. ,"Miscellaneous States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Mississippi Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  12. ,"Mississippi Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  13. ,"Montana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  14. Experimental evaluation of dry/wet air-cooled heat exchangers. Progress report

    SciTech Connect (OSTI)

    Hauser, S.G.; Gruel, R.L.; Huenefeld, J.C.; Eschbach, E.J.; Johnson, B.M.; Kreid, D.K.

    1982-08-01

    The ultimate goal of this project was to contribute to the development of improved cooling facilities for power plants. Specifically, the objective during FY-81 was to experimentally determine the thermal performance and operating characteristics of an air-cooled heat exchanger surface manufactured by the Unifin Company. The performance of the spiral-wound finned tube surface (Unifin) was compared with two inherently different platefin surfaces (one developed by the Trane Co. and the other developed by the HOETERV Institute) which were previously tested as a part of the same continuing program. Under dry operation the heat transfer per unit frontal area per unit inlet temperature difference (ITD) of the Unifin surface was 10% to 20% below that of the other two surfaces at low fan power levels. At high fan power levels, the performances of the Unifin and Trane surfaces were essentially the same, and 25% higher than the HOETERV surface. The design of the Unifin surface caused a significantly larger air-side pressure drop through the heat exchanger both in dry and deluge operation. Generally higher overall heat transfer coefficients were calculated for the Unifin surface under deluged operation. They ranged from 2.0 to 3.5 Btu/hr-ft/sup 2/-/sup 0/F as compared to less than 2.0 Btu hr-ft/sup 2/-/sup 0/F for the Trane and HOETERV surfaces under similar conditions. The heat transfer enhancement due to the evaporative cooling effect was also measureably higher with the Unifin surface as compared to the Trane surface. This can be primarily attributed to the better wetting characteristics of the Unifin surface. If the thermal performance of the surfaces are compared at equal face velocities, the Unifin surface is as much as 35% better. This method of comparison accounts for the wetting characteristics while neglecting the effect of pressure drop. Alternatively the surfaces when compared at equal pressure drop essentially the same thermal performance.

  15. Dependence of waterflood remaining oil saturation on relative permeability, capillary pressure, and reservoir parameters in mixed wet, turbidite sands

    SciTech Connect (OSTI)

    Hirasaki, G.J.

    1995-12-31

    The dependence of waterflood oil recovery on relative permeability, capillary pressure, and reservoir parameters was investigated by numerical simulation. The relative permeability and capillary pressure curves were based on laboratory measurements on unconsolidated sands and were evaluated for water-wet and mixed wet states. The reservoir model was a prototype turbidite sand with a range of thickness and permeability values. The economic oil recovery was based on an economic limit water cut of 50%. The remaining oil saturation in the swept region for the water-wet cases was close to the residual oil saturation. The remaining oil saturation of the mixed wet cases ranged from low values near the residual oil saturation to far above the residual oil saturation. It is dependent on the reservoir parameters that govern: (1) the vertical {open_quotes}film surface drainage{close_quotes} of oil by gravity, (2) accumulation of a high oil saturation and thus a high relative permeability under the cap rock, (3) updip migration of the oil that accumulated under the cap rock. The dependence on the reservoir parameters can be summarized by dimensionless groups. There is a dimensionless time for the vertical displacement of oil by gravity. The accumulation of a high oil saturation under the cap rock is dependent on the ratio of the capillary transition zone and the sand thickness. The updip migration is dependent on a combination of the gravity number and the end point mobility ratio.

  16. A summary of SNCR applications to two coal-fired wet bottom boilers

    SciTech Connect (OSTI)

    Himes, R.; Hubbard, D.; West, Z.

    1996-01-01

    In response to NO{sub x} reductions mandated under Title I of the 1990 Clean Air Act Amendments (CAAA), Public Service Electric & Gas and Atlantic Electric of New Jersey evaluated Selective Non-Catalytic Reduction (SNCR) for NO{sub x} control under separate programs at Mercer Station and B.L. England Station, respectively. Mercer Station is comprised of twin 321 MW Foster Wheeler coal-fired wet bottom boilers, with natural gas capability up to 100% load. B.L. England Station has three units, two of which are cyclone boilers of 136 MW and 163 MW. These furnace designs are of particular interest in that nominally 23,000 MW of cyclone boiler capacity and 6,900 MW of wall- or turbo-fired wet bottom boiler capacity will be faced with NO{sub x} reductions to be mandated under Title IV - Phase II for Group II boilers. Both stations evaluated Nalco Fuel Tech`s SNCR system using a portable test skid, with urea as the reducing chemical. The Mercer Unit 2 demonstration was performed with a low sulfur coal (nominally 0.8%), while the B.L. England Unit 1 demonstration utilized a medium sulfur coal (nominally 2.4%), and also re-injects fly ash back into the cyclones for ultimate collection and removal as slag. To address concerns over potential Ljungstrom air heater fouling, due to reactions between ammonia and SO{sub 3} in the air heater, and fly ash salability at Mercer Station, both sites targeted no greater than 5-10 ppmv ammonia emissions at the economizer exit. At Mercer Unit 2, air heater fouling was only experienced during system start-up when the ammonia emissions at the economizer exit were estimated at levels approaching 60 ppmv. B.L. England Unit 1, however, experienced frequent fouling of the air heater. NO{sub x} reductions achieved at both sites ranged between 30%-40% from nominal baseline NO{sub x} levels of 1.1-1.6 lb/MMBtu. Each site is currently undergoing installation of commercial SNCR systems.

  17. Critically safe volume vacuum pickup for use in wet or dry cleanup of radioactive enclosures

    DOE Patents [OSTI]

    Zeren, J.D.

    1993-12-28

    A physical compact vacuum pickup device of critically safe volume and geometric shape is provided for use in radioactive enclosures, such as a small glove box, to facilitate manual cleanup of either wet or dry radioactive material. The device is constructed and arranged so as to remain safe when filled to capacity with plutonium-239 oxide. Two fine mesh filter bags are supported on the exterior of a rigid fine mesh stainless steel cup. This assembly is sealed within, and spaced from, the interior walls of a stainless steel canister. An air inlet communicates with the interior of the canister. A modified conventional vacuum head is physically connected to, and associated with, the interior of the mesh cup. The volume of the canister, as defined by the space between the mesh cup and the interior walls of the canister, forms a critically safe volume and geometric shape for dry radioactive particles that are gathered within the canister. A critically safe liquid volume is maintained by operation of a suction terminating float valve, and/or by operation of redundant vacuum check/liquid drain valves and placement of the air inlet. 5 figures.

  18. Critically safe volume vacuum pickup for use in wet or dry cleanup of radioactive enclosures

    DOE Patents [OSTI]

    Zeren, Joseph D. (390 Forest Ave., Boulder, CO 80304)

    1993-12-28

    A physical compact vacuum pickup device of critically safe volume and geometric shape is provided for use in radioactive enclosures, such as a small glove box, to facilitate manual cleanup of either wet or dry radioactive material. The device is constructed and arranged so as to remain safe when filled to capacity with plutonium-239 oxide. Two fine mesh filter bags are supported on the exterior of a rigid fine mesh stainless steel cup. This assembly is sealed within, and spaced from, the interior walls of a stainless steel canister. An air inlet communicates with the interior of the canister. A modified conventional vacuum head is physically connected to, and associated with, the interior of the mesh cup. The volume of the canister, as defined by the space between the mesh cup and the interior walls of the canister, forms a critically safe volume and geometric shape for dry radioactive particles that are gathered within the canister. A critically safe liquid volume is maintained by operation of a suction terminating float valve, and/or by operation of redundant vacuum check/liquid drain valves and placement of the air inlet.

  19. U.S. Natural Gas, Wet After Lease Separation Reserves Extensions (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    Cubic Feet) Extensions (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Extensions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 9,332 1980's 9,757 10,979 8,754 7,263 8,688 7,535 6,359 4,818 7,132 6,623 1990's 8,287 5,298 4,895 6,376 7,299 7,204 8,189 11,179 8,630 7,401 2000's 15,550 17,183 15,468 17,195 19,068 22,069 22,834 28,255 27,800 43,500 2010's 46,283 47,635 47,053 51,074 47,071 - = No Data Reported;

  20. Aluminum doped zirconia nanopowders: Wet-chemical synthesis and structural analysis by Rietveld refinement

    SciTech Connect (OSTI)

    Srdic, Vladimir V. Rakic, Srdan; Cvejic, Zeljka

    2008-10-02

    Alumina/zirconia nanopowders, with up to 20 mol% Al{sub 2}O{sub 3}, were prepared by wet-chemical synthesis technique, using controlled hydrolysis of alkoxides. The as-synthesized powders are amorphous, have very high specific surface area and the corresponding particle size smaller than 4 nm. Amorphous powders with 0, 10 and 20 mol% Al{sub 2}O{sub 3} crystallize at 460, 692 and 749 deg. C, respectively, as a single-phase tetragonal zirconia, without any traces of alumina phases. Rietvled refinement of X-ray diffraction data, used for the detailed structural analysis of annealed nanopowders, showed that the high-temperature zirconia phase is stabilized due to the formation of ZrO{sub 2}/Al{sub 2}O{sub 3} solid solutions. High solubility of alumina in the tetragonal zirconia (up to 28.6 at% Al{sup 3+}) and stabilization of tetragonal zirconia solid solution up to high temperature (as high as 1150 deg. C) were also confirmed.

  1. Field Testing of a Wet FGD Additive for Enhanced Mercury Control - Task 3 Full-scale Test Results

    SciTech Connect (OSTI)

    Gary Blythe

    2007-05-01

    This Topical Report summarizes progress on Cooperative Agreement DE-FC26-04NT42309, 'Field Testing of a Wet FGD Additive'. The objective of the project is to demonstrate the use of a flue gas desulfurization (FGD) additive, Degussa Corporation's TMT-15, to prevent the reemission of elemental mercury (Hg{sup 0}) in flue gas exiting wet FGD systems on coal-fired boilers. Furthermore, the project intends to demonstrate whether the additive can be used to precipitate most of the mercury (Hg) removed in the wet FGD system as a fine TMT salt that can be separated from the FGD liquor and bulk solid byproducts for separate disposal. The project is conducting pilot- and full-scale tests of the TMT-15 additive in wet FGD absorbers. The tests are intended to determine required additive dosages to prevent Hg{sup 0} reemissions and to separate mercury from the normal FGD byproducts for three coal types: Texas lignite/Power River Basin (PRB) coal blend, high-sulfur Eastern bituminous coal, and low-sulfur Eastern bituminous coal. The project team consists of URS Group, Inc., EPRI, TXU Generation Company LP, Southern Company, and Degussa Corporation. TXU Generation has provided the Texas lignite/PRB cofired test site for pilot FGD tests, Monticello Steam Electric Station Unit 3. Southern Company is providing the low-sulfur Eastern bituminous coal host site for wet scrubbing tests, as well as the pilot- and full-scale jet bubbling reactor (JBR) FGD systems to be tested. IPL, an AES company, provided the high-sulfur Eastern bituminous coal full-scale FGD test site and cost sharing. Degussa Corporation is providing the TMT-15 additive and technical support to the test program as cost sharing. The project is being conducted in six tasks. Of the six project tasks, Task 1 involves project planning and Task 6 involves management and reporting. The other four tasks involve field testing on FGD systems, either at pilot or full scale. The four tasks include: Task 2 - Pilot Additive Testing in Texas Lignite Flue Gas; Task 3 - Full-scale FGD Additive Testing in High-sulfur Eastern Bituminous Flue Gas; Task 4 - Pilot Wet Scrubber Additive Tests at Plant Yates; and Task 5 - Full-scale Additive Tests at Plant Yates. The pilot-scale tests were completed in 2005 and have been previously reported. This topical report presents the results from the Task 3 full-scale additive tests, conducted at IPL's Petersburg Station Unit 2. The Task 5 full-scale additive tests will be conducted later in calendar year 2007.

  2. Selecting a plutonium vitrification process

    SciTech Connect (OSTI)

    Jouan, A. [Centre d`Etudes de la Vallee du Rhone, Bagnols sur Ceze (France)

    1996-05-01

    Vitrification of plutonium is one means of mitigating its potential danger. This option is technically feasible, even if it is not the solution advocated in France. Two situations are possible, depending on whether or not the glass matrix also contains fission products; concentrations of up to 15% should be achievable for plutonium alone, whereas the upper limit is 3% in the presence of fission products. The French continuous vitrification process appears to be particularly suitable for plutonium vitrification: its capacity is compatible with the required throughout, and the compact dimensions of the process equipment prevent a criticality hazard. Preprocessing of plutonium metal, to convert it to PuO{sub 2} or to a nitric acid solution, may prove advantageous or even necessary depending on whether a dry or wet process is adopted. The process may involve a single step (vitrification of Pu or PuO{sub 2} mixed with glass frit) or may include a prior calcination step - notably if the plutonium is to be incorporated into a fission product glass. It is important to weigh the advantages and drawbacks of all the possible options in terms of feasibility, safety and cost-effectiveness.

  3. WETTING AND REACTIVE AIR BRAZING OF BSCF FOR OXYGEN SEPARATION DEVICES

    SciTech Connect (OSTI)

    LaDouceur, Richard M.; Meier, Alan; Joshi, Vineet V.

    2014-10-13

    Reactive air brazes Ag-CuO and Ag-V2O5 were evaluated for brazing Ba0.5Sr0.5Co0.8Fe0.2O(3-?) (BSCF). BSCF has been determined in previous work to have the highest potential mixed ionic/electronic conducting (MIEC) ceramic material based on the design and oxygen flux requirements of an oxy-fuel plant such as an integrated gasification combined cycle (IGCC) used to facilitate high-efficiency carbon capture. Apparent contact angles were observed for Ag-CuO and Ag-V2O5 mixtures at 1000 C for isothermal hold times of 0, 10, 30, and 60 minutes. Wetting apparent contact angles (?<90) were obtained for 1%, 2%, and 5% Ag-CuO and Ag-V2O5 mixtures, with the apparent contact angles between 74 and 78 for all compositions and furnace dwell times. Preliminary microstructural analysis indicates that two different interfacial reactions are occurring: Ag-CuO interfacial microstructures revealed the same dissolution of copper oxide into the BSCF matrix to form copper-cobalt-oxygen rich dissolution products along the BSCF grain boundaries and Ag-V2O5 interfacial microstructures revealed the infiltration and replacement of cobalt and iron with vanadium and silver filling pores in the BSCF microstructure. The Ag-V2O5 interfacial reaction product layer was measured to be significantly thinner than the Ag-CuO reaction product layer. Using a fully articulated four point flexural bend test fixture, the flexural fracture strength for BSCF was determined to be 95 33 MPa. The fracture strength will be used to ascertain the success of the reactive air braze alloys. Based on these results, brazes were fabricated and mechanically tested to begin to optimize the brazing parameters for this system. Ag-2.5% CuO braze alloy with a 2.5 minute thermal cycle achieved a hermetic seal with a joint flexural strength of 34 15 MPa and Ag-1% V2O5 with a 30 minute thermal cycle had a joint flexural strength of 20 15 MPa.

  4. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic

  5. Field Testing of a Wet FGD Additive for Enhanced Mercury Control - Task 5 Full-Scale Test Results

    SciTech Connect (OSTI)

    Gary Blythe; MariJon Owens

    2007-12-01

    This Topical Report summarizes progress on Cooperative Agreement DE-FC26-04NT42309, 'Field Testing of a Wet FGD Additive'. The objective of the project is to demonstrate the use of two flue gas desulfurization (FGD) additives, Evonik Degussa Corporation's TMT-15 and Nalco Company's Nalco 8034, to prevent the re-emission of elemental mercury (Hg{sup 0}) in flue gas exiting wet FGD systems on coal-fired boilers. Furthermore, the project intends to demonstrate whether the additive can be used to precipitate most of the mercury (Hg) removed in the wet FGD system as a fine salt that can be separated from the FGD liquor and bulk solid byproducts for separate disposal. The project is conducting pilot- and full-scale tests of the additives in wet FGD absorbers. The tests are intended to determine required additive dosages to prevent Hg{sup 0} re-emissions and to separate mercury from the normal FGD byproducts for three coal types: Texas lignite/Powder River Basin (PRB) coal blend, high-sulfur Eastern bituminous coal, and low-sulfur Eastern bituminous coal. The project team consists of URS Group, Inc., EPRI, Luminant Power (was TXU Generation Company LP), Southern Company, IPL (an AES company), Evonik Degussa Corporation and the Nalco Company. Luminant Power has provided the Texas lignite/PRB co-fired test site for pilot FGD tests and cost sharing. Southern Company has provided the low-sulfur Eastern bituminous coal host site for wet scrubbing tests, as well as the pilot- and full-scale jet bubbling reactor (JBR) FGD systems tested. IPL provided the high-sulfur Eastern bituminous coal full-scale FGD test site and cost sharing. Evonik Degussa Corporation is providing the TMT-15 additive, and the Nalco Company is providing the Nalco 8034 additive. Both companies are also supplying technical support to the test program as in-kind cost sharing. The project is being conducted in six tasks. Of the six project tasks, Task 1 involves project planning and Task 6 involves management and reporting. The other four tasks involve field testing on FGD systems, either at pilot or full scale. The four tasks include: Task 2 - Pilot Additive Testing in Texas Lignite Flue Gas; Task 3 - Full-scale FGD Additive Testing in High-sulfur Eastern Bituminous Flue Gas; Task 4 - Pilot Wet Scrubber Additive Tests at Plant Yates; and Task 5 - Full-scale Additive Tests at Plant Yates. The pilot-scale tests and the full-scale test using high-sulfur coal were completed in 2005 and 2006 and have been previously reported. This topical report presents the results from the Task 5 full-scale additive tests, conducted at Southern Company's Plant Yates Unit 1. Both additives were tested there.

  6. Mass fractal characteristics of wet sonogels as determined by small-angle x-ray scattering and differential scanning calorimetry

    SciTech Connect (OSTI)

    Vollet, D. R.; Donatti, D. A.; Ibanez Ruiz, A.; Gatto, F. R. [Departamento de Fisica, Unesp-Univerisdade Estadual Paulista, IGCE, P.O. Box 178 CEP 13500-970 Rio Claro, SP (Brazil)

    2006-07-01

    Low density silica sonogels were prepared from acid sonohydrolysis of tetraethoxysilane. Wet gels were studied by small-angle x-ray scattering (SAXS) and differential scanning calorimetry (DSC). The DSC tests were carried out under a heating rate of 2 deg. C/min from -120 deg. C up to 30 deg. C. Aerogels were obtained by CO{sub 2} supercritical extraction and characterized by nitrogen adsorption and SAXS. The DSC thermogram displays two distinct endothermic peaks. The first, a broad peak extending from about -80 deg. C up to practically 0 deg. C, was associated to the melting of ice nanocrystals with a crystal size distribution with 'pore' diameter ranging from 1 or 2 nm up to about 60 nm, as estimated from Thomson's equation. The second, a sharp peak with onset temperature close to 0 deg. C, was attributed to the melting of macroscopic crystals. The DSC incremental 'nanopore' volume distribution is in reasonable agreement with the incremental pore volume distribution of the aerogel as determined from nitrogen adsorption. No macroporosity was detected by nitrogen adsorption, probably because the adsorption method applies stress on the sample during measurement, leading to a underestimation of pore volume, or because often positive curvature of the solid surface is in aerogels, making the nitrogen condensation more difficult. According to the SAXS results, the solid network of the wet gels behaves as a mass fractal structure with mass fractal dimension D=2.20{+-}0.01 in a characteristic length scale below {xi}=7.9{+-}0.1 nm. The mass fractal characteristics of the wet gels have also been probed from DSC data by means of an earlier applied modeling for generation of a mass fractal from the incremental ''pore'' volume distribution curves. The results are shown to be in interesting agreement with the results from SAXS.

  7. The effect of dry and wet deposition of condensable vapors on secondary organic aerosols concentrations over the continental US

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Knote, C.; Hodzic, A.; Jimenez, J. L.

    2015-01-06

    The effect of dry and wet deposition of semi-volatile organic compounds (SVOCs) in the gas phase on the concentrations of secondary organic aerosol (SOA) is reassessed using recently derived water solubility information. The water solubility of SVOCs was implemented as a function of their volatility distribution within the WRF-Chem regional chemistry transport model, and simulations were carried out over the continental United States for the year 2010. Results show that including dry and wet removal of gas-phase SVOCs reduces annual average surface concentrations of anthropogenic and biogenic SOA by 48 and 63% respectively over the continental US. Dry deposition ofmore » gas-phase SVOCs is found to be more effective than wet deposition in reducing SOA concentrations (−40 vs. −8% for anthropogenics, and −52 vs. −11% for biogenics). Reductions for biogenic SOA are found to be higher due to the higher water solubility of biogenic SVOCs. The majority of the total mass of SVOC + SOA is actually deposited via the gas phase (61% for anthropogenics and 76% for biogenics). Results are sensitive to assumptions made in the dry deposition scheme, but gas-phase deposition of SVOCs remains crucial even under conservative estimates. Considering reactivity of gas-phase SVOCs in the dry deposition scheme was found to be negligible. Further sensitivity studies where we reduce the volatility of organic matter show that consideration of gas-phase SVOC removal still reduces average SOA concentrations by 31% on average. We consider this a lower bound for the effect of gas-phase SVOC removal on SOA concentrations. A saturation effect is observed for Henry's law constants above 108 M atm−1, suggesting an upper bound of reductions in surface level SOA concentrations by 60% through removal of gas-phase SVOCs. Other models that do not consider dry and wet removal of gas-phase SVOCs would hence overestimate SOA concentrations by roughly 50%. Assumptions about the water solubility of SVOCs made in some current modeling systems (H* = H* (CH3COOH); H* = 105 M atm−1; H* = H* (HNO3)) still lead to an overestimation of 35%/25%/10% compared to our best estimate.« less

  8. The effect of dry and wet deposition of condensable vapors on secondary organic aerosols concentrations over the continental US

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Knote, C.; Hodzic, A.; Jimenez, J. L.

    2014-05-26

    The effect of dry and wet deposition of semi-volatile organic compounds (SVOC) in the gas-phase on the concentrations of secondary organic aerosol (SOA) is reassessed using recently derived water solubility information. The water solubility of SVOCs was implemented as a function of their volatility distribution within the regional chemistry transport model WRF-Chem, and simulations were carried out over the continental United States for the year 2010. Results show that including dry and wet removal of gas-phase SVOCs reduces annual average surface concentrations of anthropogenic and biogenic SOA by 48% and 63% respectively over the continental US Dry deposition of gas-phasemore » SVOCs is found to be more effective than wet deposition in reducing SOA concentrations (−40% vs. −8% for anthropogenics, −52% vs. −11% for biogenics). Reductions for biogenic SOA are found to be higher due to the higher water solubility of biogenic SVOCs. The majority of the total mass of SVOC + SOA is actually deposited via the gas-phase (61% for anthropogenics, 76% for biogenics). A number of sensitivity studies shows that this is a robust feature of the modeling system. Other models that do not consider dry and wet removal of gas-phase SVOCs would hence overestimate SOA concentrations by roughly 50%. Assumptions about the water solubility of SVOCs made in some current modeling systems (H* = 105 M atm−1; H* = H* (HNO3)) still lead to an overestimation of 25% / 10% compared to our best estimate. A saturation effect is observed for Henry's law constants above 108 M atm−1, suggesting an upper bound of reductions in surface level SOA concentrations by 60% through removal of gas-phase SVOCs. Considering reactivity of gas-phase SVOCs in the dry deposition scheme was found to be negligible. Further sensitivity studies where we reduce the volatility of organic matter show that consideration of gas-phase SVOC removal still reduces average SOA concentrations by 31% on average. We consider this a lower bound for the effect of gas-phase SVOC removal on SOA concentrations.« less

  9. Assessment of TEES reg sign applications for Wet Industrial Wastes: Energy benefit and economic analysis report

    SciTech Connect (OSTI)

    Elliott, D.C.; Scheer, T.H.

    1992-02-01

    Fundamental work is catalyzed biomass pyrolysis/gasification led to the Thermochemical Environmental Energy System (TEES{reg sign}) concept, a means of converting moist biomass feedstocks to high-value fuel gases such as methane. A low-temperature (350{degrees}C), pressurized (3100 psig) reaction environment and a nickel catalyst are used to reduce volumes of very high-moisture wastes such as food processing byproducts while producing useful quantities of energy. A study was conducted to assess the economic viability of a range of potential applications of the process. Cases examined included feedstocks of cheese whey, grape pomace, spent grain, and an organic chemical waste stream. The analysis indicated that only the organic chemical waste process is economically attractive in the existing energy/economic environment. However, food processing cases will become attractive as alternative disposal practices are curtailed and energy prices rise.

  10. Selection Process

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Selection Process Selection Process Fellowships will be awarded based on academic excellence, relevance of candidate's research to the laboratory mission in fundamental nuclear science and relevance to Global Security or Science of Campaign missions. Contacts Director Albert Migliori Deputy Franz Freibert 505 667-6879 Email Professional Staff Assistant Susan Ramsay 505 665 0858 Email The Seaborg internal advisory committee will judge applications based on academic excellence, relevance of the

  11. Proposal Process

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Proposal Process Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds 100G SDN Testbed Testbed Description Proposal Process Terms and Conditions Dark Fiber Testbed Test Circuit Service Testbed Results Current Testbed Research Previous Testbed Research Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600

  12. Process Limits

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Process Limits Process Limits Limit Hard Soft core file size (blocks) 0 unlimited data seg size (kbytes) unlimited unlimited scheduling priority 0 0 file size (blocks) unlimited unlimited pending signals 4199424 4199424 max locked memory (kbytes) 32 32 max memory size (kbytes) unlimited unlimited open files 1024 1024 pipe size (512 bytes) 8 8 POSIX message queues (bytes) 819200 819200 real-time priority 0 0 stack size (kbytes) 10240 unlimited cpu time (seconds) unlimited unlimited max user

  13. Electric utility engineer`s FGD manual -- Volume 1: FGD process design. Final report

    SciTech Connect (OSTI)

    1996-03-04

    Part 1 of the Electric Utility Engineer`s Flue Gas Desulfurization (FGD) Manual emphasizes the chemical and physical processes that form the basis for design and operation of lime- and limestone-based FGD systems applied to coal- or oil-fired steam electric generating stations. The objectives of Part 1 are: to provide a description of the chemical and physical design basis for lime- and limestone-based wet FGD systems; to identify and discuss the various process design parameters and process options that must be considered in developing a specification for a new FGD system; and to provide utility engineers with process knowledge useful for operating and optimizing a lime- or limestone-based wet FGD system.

  14. Low-temperature catalytic gasification of wet industrial wastes. FY 1993--1994 interim report

    SciTech Connect (OSTI)

    Elliott, D.C.; Hart, T.R.; Neuenschwander, G.G.; Deverman, G.S.; Werpy, T.A.; Phelps, M.R.; Baker, E.G.; Sealock, L.J. Jr.

    1995-03-01

    Process development research is continuing on a low-temperature, catalytic gasification system that has been demonstrated to convert organics in water (dilute or concentrated) to useful and environmentally safe gases. The system, licensed under the trade name Thermochemical Environmental Energy System (TEESO), treats a wide variety of feedstocks ranging from hazardous organics in water to waste sludges from food processing. The current research program is focused on the use of continuous-feed, tubular reactors systems for testing catalysts and feedstocks in the process. A range of catalysts have been tested, including nickel and other base metals, as well as ruthenium and other precious metals. Results of extensive testing show that feedstocks, ranging from 2% para-cresol in water to potato waste and spent grain, can be processed to > 99% reduction of chemical oxygen demand (COD). The product fuel gas contains from 40% up to 75% methane, depending on the feedstock. The balance of the gas is mostly carbon dioxide with < 5% hydrogen and usually < 1% ethane and higher hydrocarbons. The byproduct water stream carries residual organics from 10 to 1,000 mg/l COD, depending on the feedstock. The level of development of TEES has progressed to the initial phases of industrial process demonstration. Testing of industrial waste streams is under way at both the bench scale and engineering scale of development.

  15. Silane Modification of Glass and Silica Surfaces to Obtain Equally Oil-Wet Surfaces in Glass-Covered Silicon Micromodel Applications

    SciTech Connect (OSTI)

    Grate, Jay W.; Warner, Marvin G.; Pittman, Jonathan W.; Dehoff, Karl J.; Wietsma, Thomas W.; Zhang, Changyong; Oostrom, Martinus

    2013-08-05

    The wettability of silicon and glass surfaces can be modified by silanization. However, similar treatments of glass and silica surfaces using the same silane do not necessarily yield the same wettability as determined by the oil-water contact angle. In this technical note, surface cleaning pretreatments were investigated to determine conditions that would yield oil-wet surfaces on glass with similar wettability to silica surfaces treated with the same silane, and both air-water and oil-water contact angles were determined. Air-water contact angles were less sensitive to differences between silanized silica and glass surfaces, often yielding similar values while the oil-water contact angles were quite different. Borosilicate glass surfaces cleaned with standard cleaning solution 1 (SC1) yield intermediate-wet surfaces when silanized with hexamethyldisilazane, while the same cleaning and silanization yields oil-wet surfaces on silica. However, cleaning glass in boiling concentrated nitric acid creates a surface that can be silanized to obtain oil-wet surfaces using HDMS. Moreover, this method is effective on glass with prior thermal treatment at an elevated temperature of 400oC. In this way, silica and glass can be silanized to obtain equally oil-wet surfaces using HMDS. It is demonstrated that pretreatment and silanization is feasible in silicon-silica/glass micromodels previously assembled by anodic bonding, and that the change in wettability has a significant observable effect on immiscisble fluid displacements in the pore network.

  16. Quantification of Shallow-junction Dopant Loss during CMOS Process

    SciTech Connect (OSTI)

    Buh, G.H.; Park, T.; Jee, Y.; Hong, S.J.; Ryoo, C.; Yoo, J.; Lee, J.W.; Yon, G.H.; Jun, C.S.; Shin, Y.G.; Chung, U.-In; Moon, J.T.

    2005-09-09

    We analyzed dopant concentration and profiles in source drain extension (SDE) by using in-line low energy electron induced x-ray emission spectrometry (LEXES), four point probe (FPP), and secondary ion mass spectroscopy (SIMS). By monitoring the dopant dose with LEXES, dopant loss in implantation and annealing process was successfully quantified. To measure the actual SDE sheet resistance in CMOS device structure without probe penetration in FPP, we fabricated a simple SDE sheet-resistance test structure (SSTS) by modifying a conventional CMOS process. It was found that the sheet resistances determined with SSTS are larger than those measured with FPP. There are three mechanisms of dopants loss in CMOS process: 1) wet-etching removal during photo resist cleaning, 2) out-diffusion, and 3) deactivation by post-thermal process. We quantified the loss of the dopant in SDE during the CMOS process, and found that the wet-etching removal and out-diffusion are the most significant causes for dopant loss in n-SDE and p-SDE, respectively.

  17. Process Monitor

    Energy Science and Technology Software Center (OSTI)

    2003-12-01

    This library is used to get process information (eg memory and timing). By setting an environment variable, the runtime system loads libprocmon.so while loading your executable. This library causes the SIGPROF signal to be triggered at time intervals. The procmon signal handler calls various system routines (eg clock_gettime, malinfo, getrusage, and ioctl {accessing the /proc filesystem}) to gather information about the process. The information is then printed to a file which can be viewed graphicallymore » via procmon_plot.pl. This information is obtained via a sampling approach. As with any sampling approach, the information it gathers will not be completely accurate. For example, if you are looking at memory high-water mark the memory allocation and freeing could have occurred between samples and thus would not be "seen" by this program. See "Usage" below for environment variables that affect this monitor (eg time between sampling).« less

  18. Hydropyrolysis process

    DOE Patents [OSTI]

    Ullman, Alan Z.; Silverman, Jacob; Friedman, Joseph

    1986-01-01

    An improved process for producing a methane-enriched gas wherein a hydrogen-deficient carbonaceous material is treated with a hydrogen-containing pyrolysis gas at an elevated temperature and pressure to produce a product gas mixture including methane, carbon monoxide and hydrogen. The improvement comprises passing the product gas mixture sequentially through a water-gas shift reaction zone and a gas separation zone to provide separate gas streams of methane and of a recycle gas comprising hydrogen, carbon monoxide and methane for recycle to the process. A controlled amount of steam also is provided which when combined with the recycle gas provides a pyrolysis gas for treatment of additional hydrogen-deficient carbonaceous material. The amount of steam used and the conditions within the water-gas shift reaction zone and gas separation zone are controlled to obtain a steady-state composition of pyrolysis gas which will comprise hydrogen as the principal constituent and a minor amount of carbon monoxide, steam and methane so that no external source of hydrogen is needed to supply the hydrogen requirements of the process. In accordance with a particularly preferred embodiment, conditions are controlled such that there also is produced a significant quantity of benzene as a valuable coproduct.

  19. User's guide for the BNW-III optimization code for modular dry/wet-cooled power plants

    SciTech Connect (OSTI)

    Braun, D.J.; Faletti, D.W.

    1984-09-01

    This user's guide describes BNW-III, a computer code developed by the Pacific Northwest Laboratory (PNL) as part of the Dry Cooling Enhancement Program sponsored by the US Department of Energy (DOE). The BNW-III code models a modular dry/wet cooling system for a nuclear or fossil fuel power plant. The purpose of this guide is to give the code user a brief description of what the BNW-III code is and how to use it. It describes the cooling system being modeled and the various models used. A detailed description of code input and code output is also included. The BNW-III code was developed to analyze a specific cooling system layout. However, there is a large degree of freedom in the type of cooling modules that can be selected and in the performance of those modules. The costs of the modules are input to the code, giving the user a great deal of flexibility.

  20. ,"New Mexico - East Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - East Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  1. ,"New Mexico - West Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico - West Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  2. ,"U.S. Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  3. ,"California - Coastal Region Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Coastal Region Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  4. ,"California - Los Angeles Basin Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Los Angeles Basin Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014

  5. ,"California - Los Angeles Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Los Angeles Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  6. ,"California - San Joaquin Basin Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014

  7. ,"California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  8. ,"California Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Federal Offshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  9. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  10. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014

  11. ,"Gulf of Mexico Federal Offshore - Texas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Texas Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014

  12. ,"Gulf of Mexico Federal Offshore - Texas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Texas Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  13. ,"Gulf of Mexico Federal Offshore - Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Texas Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  14. ,"Louisiana - South Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana - South Onshore Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  15. ,"Lower 48 States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) Indexed Site

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  16. Instrument uncertainty effect on calculation of absolute humidity using dewpoint, wet-bulb, and relative humidity sensors

    SciTech Connect (OSTI)

    Slayzak, S.J.; Ryan, J.P.

    1998-04-01

    As part of the US Department of Energy`s Advanced Desiccant Technology Program, the National Renewable Energy Laboratory (NREL) is characterizing the state-of-the-art in desiccant dehumidifiers, the key component of desiccant cooling systems. The experimental data will provide industry and end users with independent performance evaluation and help researchers assess the energy savings potential of the technology. Accurate determination of humidity ratio is critical to this work and an understanding of the capabilities of the available instrumentation is central to its proper application. This paper compares the minimum theoretical random error in humidity ratio calculation for three common measurement methods to give a sense of the relative maximum accuracy possible for each method assuming systematic errors can be made negligible. A series of experiments conducted also illustrate the capabilities of relative humidity sensors as compared to dewpoint sensors in measuring the grain depression of desiccant dehumidifiers. These tests support the results of the uncertainty analysis. At generally available instrument accuracies, uncertainty in calculated humidity ratio for dewpoint sensors is determined to be constant at approximately 2%. Wet-bulb sensors range between 2% and 6% above 10 g/kg (4%--15% below), and relative humidity sensors vary between 4% above 90% rh and 15% at 20% rh. Below 20% rh, uncertainty for rh sensors increases dramatically. Highest currently attainable accuracies bring dewpoint instruments down to 1% uncertainty, wet bulb to a range of 1%--3% above 10 g/kg (1.5%--8% below), and rh sensors between 1% and 5%.

  17. Ceramic Processing

    SciTech Connect (OSTI)

    EWSUK,KEVIN G.

    1999-11-24

    Ceramics represent a unique class of materials that are distinguished from common metals and plastics by their: (1) high hardness, stiffness, and good wear properties (i.e., abrasion resistance); (2) ability to withstand high temperatures (i.e., refractoriness); (3) chemical durability; and (4) electrical properties that allow them to be electrical insulators, semiconductors, or ionic conductors. Ceramics can be broken down into two general categories, traditional and advanced ceramics. Traditional ceramics include common household products such as clay pots, tiles, pipe, and bricks, porcelain china, sinks, and electrical insulators, and thermally insulating refractory bricks for ovens and fireplaces. Advanced ceramics, also referred to as ''high-tech'' ceramics, include products such as spark plug bodies, piston rings, catalyst supports, and water pump seals for automobiles, thermally insulating tiles for the space shuttle, sodium vapor lamp tubes in streetlights, and the capacitors, resistors, transducers, and varistors in the solid-state electronics we use daily. The major differences between traditional and advanced ceramics are in the processing tolerances and cost. Traditional ceramics are manufactured with inexpensive raw materials, are relatively tolerant of minor process deviations, and are relatively inexpensive. Advanced ceramics are typically made with more refined raw materials and processing to optimize a given property or combination of properties (e.g., mechanical, electrical, dielectric, optical, thermal, physical, and/or magnetic) for a given application. Advanced ceramics generally have improved performance and reliability over traditional ceramics, but are typically more expensive. Additionally, advanced ceramics are typically more sensitive to the chemical and physical defects present in the starting raw materials, or those that are introduced during manufacturing.

  18. Antimicrobial product and process

    DOE Patents [OSTI]

    Barrett, K.B.

    1997-12-16

    A composition for controlling a plant disease caused by a plant pathogenic bacterium is disclosed. The composition comprises an activity for inhibiting the growth of the plant pathogenic bacterium and is extracted in an aqueous solvent from particles of malted cereal grain. The composition is used either in dry or wet form by application to plant parts, such as potato seed pieces, that are to be protected from the pathogenic bacteria. 6 figs.

  19. Antimicrobial product and process

    DOE Patents [OSTI]

    Barrett, Karen B.

    1997-01-01

    A composition for controlling a plant disease caused by a plant pathogenic bacterium is disclosed. The composition comprises an activity for inhibiting the growth of the plant pathogenic bacterium and is extracted in an aqueous solvent from particles of malted cereal grain. The composition is used either in dry or wet form by application to plant parts, such as potato seed pieces, that are to be protected from the pathogenic bacteria.

  20. No Confinement Needed: Observation of a Metastable Hydrophobic Wetting Two-Layer Ice on Graphene

    SciTech Connect (OSTI)

    Kimmel, Gregory A.; Matthiesen, Jesper; Baer, Marcel; Mundy, Christopher J.; Petrik, Nikolay G.; Smith, R. Scott; Dohnalek, Zdenek; Kay, Bruce D.

    2009-09-09

    The structure of water at interfaces is crucial for processes ranging from photocatalysis to protein folding. Here, we investigate the structure and lattice dynamics of two-layer crystalline ice films grown on a hydrophobic substrate - graphene on Pt(111) - with low energy electron diffraction, reflection-absorption infrared spectroscopy, rare-gas adsorption/desorption, and ab-initio molecular dynamics. Unlike hexagonal ice, which consists of stacks of puckered hexagonal "bilayers", this new ice polymorph consists of two flat hexagonal sheets of water molecules in which the hexagons in each sheet are stacked directly on top of each other. Such two-layer ices have been predicted for water confined between hydrophobic slits, but not previously observed. Our results show that the two-layer ice forms even at zero pressure at a single hydrophobic interface by maximizing the number of hydrogen bonds at the expense of adopting a non-tetrahedral geometry with weakened bonds.