Sample records for modeling-computer simulations mud

  1. Modeling-Computer Simulations At Dixie Valley Geothermal Area...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Dixie Valley Geothermal Area (Wisian & Blackwell, 2004) Exploration...

  2. Modeling-Computer Simulations At Stillwater Area (Wisian & Blackwell...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Stillwater Area (Wisian & Blackwell, 2004) Exploration Activity...

  3. Modeling-Computer Simulations At Valles Caldera - Redondo Geothermal...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Valles Caldera - Redondo Geothermal Area (Wilt & Haar, 1986)...

  4. Modeling-Computer Simulations At Desert Peak Area (Wisian & Blackwell...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Desert Peak Area (Wisian & Blackwell, 2004) Exploration Activity...

  5. Modeling-Computer Simulations At White Mountains Area (Goff ...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At White Mountains Area (Goff & Decker, 1983) Exploration Activity...

  6. Modeling-Computer Simulations At Central Nevada Seismic Zone...

    Open Energy Info (EERE)

    Central Nevada Seismic Zone Geothermal Region Exploration Technique Modeling-Computer Simulations Activity Date Usefulness not indicated DOE-funding Unknown References J. W....

  7. Modeling-Computer Simulations At Fenton Hill HDR Geothermal Area...

    Open Energy Info (EERE)

    Modeling-Computer Simulations At Fenton Hill HDR Geothermal Area (Goff & Decker, 1983) Exploration Activity Details Location Fenton Hill HDR Geothermal Area Exploration Technique...

  8. Modeling-Computer Simulations At Nw Basin & Range Region (Biasi...

    Open Energy Info (EERE)

    Location Northwest Basin and Range Geothermal Region Exploration Technique Modeling-Computer Simulations Activity Date Usefulness useful regional reconnaissance DOE-funding...

  9. Modeling-Computer Simulations At Long Valley Caldera Geothermal...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Long Valley Caldera Geothermal Area (Farrar, Et Al., 2003) Exploration...

  10. Modeling-Computer Simulations At Long Valley Caldera Geothermal...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Long Valley Caldera Geothermal Area (Battaglia, Et Al., 2003)...

  11. Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al., 2010) Exploration Activity...

  12. Modeling-Computer Simulations At San Juan Volcanic Field Area...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At San Juan Volcanic Field Area (Clarkson & Reiter, 1987) Exploration...

  13. Modeling-Computer Simulations At Central Nevada Seismic Zone...

    Open Energy Info (EERE)

    Modeling-Computer Simulations At Central Nevada Seismic Zone Region (Biasi, Et Al., 2009) Exploration Activity Details Location Central Nevada Seismic Zone Geothermal Region...

  14. Modeling-Computer Simulations At Long Valley Caldera Geothermal...

    Open Energy Info (EERE)

    Modeling-Computer Simulations Activity Date - 2003 Usefulness not indicated DOE-funding Unknown Notes Several fluid-flow models presented regarding the Long Valley Caldera....

  15. Modeling-Computer Simulations At Chocolate Mountains Area (Alm...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Chocolate Mountains Area (Alm, Et Al., 2010) Exploration Activity...

  16. Modeling-Computer Simulations At Walker-Lane Transitional Zone...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Walker-Lane Transitional Zone Region (Biasi, Et Al., 2009) Exploration...

  17. Modeling-Computer Simulations At Long Valley Caldera Geothermal...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Long Valley Caldera Geothermal Area (Tempel, Et Al., 2011) Exploration...

  18. Modeling-Computer Simulations At Northern Basin & Range Region...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Northern Basin & Range Region (Biasi, Et Al., 2009) Exploration...

  19. Modeling-Computer Simulations At Valles Caldera - Sulphur Springs...

    Open Energy Info (EERE)

    Sulphur Springs Geothermal Area Exploration Technique Modeling-Computer Simulations Activity Date 1987 - 1995 Usefulness useful DOE-funding Unknown Notes A modification of the...

  20. Modeling-Computer Simulations At Long Valley Caldera Geothermal...

    Open Energy Info (EERE)

    Details Location Long Valley Caldera Geothermal Area Exploration Technique Modeling-Computer Simulations Activity Date 1995 - 2000 Usefulness not indicated DOE-funding Unknown...

  1. Modeling-Computer Simulations At Northern Basin & Range Region...

    Open Energy Info (EERE)

    Northern Basin and Range Geothermal Region Exploration Technique Modeling-Computer Simulations Activity Date Usefulness not indicated DOE-funding Unknown References J. W. Pritchett...

  2. Modeling-Computer Simulations At Kilauea East Rift Geothermal...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Kilauea East Rift Geothermal Area (Rudman & Epp, 1983) Exploration...

  3. Modeling-Computer Simulations At Walker-Lane Transitional Zone...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Walker-Lane Transitional Zone Region (Pritchett, 2004) Exploration...

  4. Modeling-Computer Simulations At Nw Basin & Range Region (Pritchett...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Nw Basin & Range Region (Pritchett, 2004) Exploration Activity Details...

  5. Modeling-Computer Simulations At Valles Caldera - Sulphur Springs...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Valles Caldera - Sulphur Springs Geothermal Area (Wilt & Haar, 1986)...

  6. Modeling-Computer Simulations At Dixie Valley Geothermal Area...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Dixie Valley Geothermal Area (Wannamaker, Et Al., 2006) Exploration...

  7. Modeling-Computer Simulations At Fish Lake Valley Area (Deymonaz...

    Open Energy Info (EERE)

    Additional References Retrieved from "http:en.openei.orgwindex.php?titleModeling-ComputerSimulationsAtFishLakeValleyArea(Deymonaz,EtAl.,2008)&oldid387627...

  8. Modeling-Computer Simulations At Nevada Test And Training Range...

    Open Energy Info (EERE)

    ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Nevada Test And Training Range Area (Sabin, Et Al., 2004) Exploration Activity Details Location...

  9. Modeling-Computer Simulations At Valles Caldera - Redondo Geothermal...

    Open Energy Info (EERE)

    Modeling-Computer Simulations Activity Date 1987 - 1995 Usefulness useful DOE-funding Unknown Notes A modification of the Aki-Lamer method was used to model the amplitude data....

  10. Modeling-Computer Simulations At U.S. West Region (Williams ...

    Open Energy Info (EERE)

    Modeling-Computer Simulations At U.S. West Region (Williams & Deangelo, 2008) Exploration Activity Details Location U.S. West Region Exploration Technique Modeling-Computer...

  11. Modeling-Computer Simulations (Laney, 2005) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy DemandModeling-Computer

  12. Modeling-Computer Simulations (Ozkocak, 1985) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations Activity Date

  13. Modeling-Computer Simulations (Ranalli & Rybach, 2005) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations Activity

  14. Modeling-Computer Simulations (Walker, Et Al., 2005) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations

  15. Modeling-Computer Simulations At Central Nevada Seismic Zone Region

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010) |

  16. Modeling-Computer Simulations At Central Nevada Seismic Zone Region

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)

  17. Modeling-Computer Simulations At Dixie Valley Geothermal Area (Blackwell,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)EtEt Al.,

  18. Modeling-Computer Simulations At Dixie Valley Geothermal Area (Wannamaker,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)EtEtEt Al.,

  19. Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010) | Open

  20. Modeling-Computer Simulations At Central Nevada Seismic Zone Region (Biasi,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)Et Al.,

  1. Modeling-Computer Simulations At Chocolate Mountains Area (Alm, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)Et Al.,2010)

  2. Modeling-Computer Simulations At Coso Geothermal Area (1999) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)Et

  3. Modeling-Computer Simulations At Dixie Valley Geothermal Area (Kennedy &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)EtEt

  4. Modeling-Computer Simulations At Dixie Valley Geothermal Area (Wisian &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of EnergySimulations2010)EtEtEt

  5. Mud degasser method and apparatus

    SciTech Connect (OSTI)

    Shifflett, W.M.

    1981-06-09T23:59:59.000Z

    A method and apparatus for degassing mud is disclosed. The mud, which has been returned from a borehole, is forced to flow upwardly through a main cylindrical housing by the action of an auger device. The auger flight is spaced from the auger shaft, so that a longitudinally extending, axial passageway is formed within the housing for removal of gases from the mud. The auger flight is comprised of a plurality of sections, each axially spaced from one another, with a perforated member being interposed therebetween. The combined action of the flight and the perforated member causes the mud to assume a flow path which releases an unexpected amount of gas therefrom. An annular trough at the top of the housing collects the degasified mud. A closure member at the upper end of the housing enables the axial passageway to be evacuated which enhances the removal of gases from the mud.

  6. How to select oil mud applications

    SciTech Connect (OSTI)

    Nance, W.B.

    1984-01-01T23:59:59.000Z

    The use of inverted emulsion oil muds has greatly increased over the past few years due to the demands of drilling deeper and more difficult wells. In many instances, oil muds have enhanced drilling results and measurably lowered the cost of drilling. However, in a few cases, the use of oil muds has resulted in poor drilling results due to several inherent limitations. It is important to recognize the advantages and the disadvantages of drilling with oil muds to properly choose applications where oil mud will benefit overall drilling results. The positive aspects of oil muds seem to be more widely recognized than the negative ones, and this probably accounts for most instances of misapplication where the use of oil mud is actually a liability to the drilling operation.

  7. Use of a decision tree to select the mud system for the Oso field, Nigeria

    SciTech Connect (OSTI)

    Dear, S.F. III; Beasley, R.D.; Barr, K.P.

    1995-10-01T23:59:59.000Z

    Far too often, the basis for selection of a mud system is the ``latest, greatest`` technology or personal preference rather than sound cost-effective analysis. The use of risk-vs.-cost decision analysis improves mud selection and makes it a proper business decision. Several mud systems usually are available to drill and well and, with good decision analysis, the cost-effectiveness of each alternative becomes apparent. This paper describes how the drilling team used structured decision analysis to evaluate and select the best mud system for the project. First, Monte Carlo simulations forecast the range of possible results with each alternative. The simulations provide most-likely values for the variables in the decision tree, including reasonable ranges for sensitivity analyses. This paper presents and discusses the simulations, the decision tree, and the sensitivity analyses.

  8. Optimization of Mud Hammer Drilling Performance--A Program to Benchmark the Viability of Advanced Mud Hammer Drilling

    SciTech Connect (OSTI)

    Arnis Judzis

    2006-03-01T23:59:59.000Z

    Operators continue to look for ways to improve hard rock drilling performance through emerging technologies. A consortium of Department of Energy, operator and industry participants put together an effort to test and optimize mud driven fluid hammers as one emerging technology that has shown promise to increase penetration rates in hard rock. The thrust of this program has been to test and record the performance of fluid hammers in full scale test conditions including, hard formations at simulated depth, high density/high solids drilling muds, and realistic fluid power levels. This paper details the testing and results of testing two 7 3/4 inch diameter mud hammers with 8 1/2 inch hammer bits. A Novatek MHN5 and an SDS Digger FH185 mud hammer were tested with several bit types, with performance being compared to a conventional (IADC Code 537) tricone bit. These tools functionally operated in all of the simulated downhole environments. The performance was in the range of the baseline ticone or better at lower borehole pressures, but at higher borehole pressures the performance was in the lower range or below that of the baseline tricone bit. A new drilling mode was observed, while operating the MHN5 mud hammer. This mode was noticed as the weight on bit (WOB) was in transition from low to high applied load. During this new ''transition drilling mode'', performance was substantially improved and in some cases outperformed the tricone bit. Improvements were noted for the SDS tool while drilling with a more aggressive bit design. Future work includes the optimization of these or the next generation tools for operating in higher density and higher borehole pressure conditions and improving bit design and technology based on the knowledge gained from this test program.

  9. INTEGRATED DRILLING SYSTEM USING MUD ACTUATED DOWN HOLE HAMMER AS PRIMARY ENGINE

    SciTech Connect (OSTI)

    John V. Fernandez; David S. Pixton

    2005-12-01T23:59:59.000Z

    A history and project summary of the development of an integrated drilling system using a mud-actuated down-hole hammer as its primary engine are given. The summary includes laboratory test results, including atmospheric tests of component parts and simulated borehole tests of the hammer system. Several remaining technical hurdles are enumerated. A brief explanation of commercialization potential is included. The primary conclusion for this work is that a mud actuated hammer can yield substantial improvements to drilling rate in overbalanced, hard rock formations. A secondary conclusion is that the down-hole mud actuated hammer can serve to provide other useful down-hole functions including generation of high pressure mud jets, generation of seismic and sonic signals, and generation of diagnostic information based on hammer velocity profiles.

  10. Removal of phosphorus from mud

    SciTech Connect (OSTI)

    Nield, M.A.; Robbins, B.N.

    1988-08-09T23:59:59.000Z

    This patent describes a method of processing an aqueous phosphorous-containing solids-containing waste material containing about 5 to about 75 wt.% of elemental phosphorus and which is phosphorus mud obtained as a by-product in the electrothermal production of elemental phosphorus by removing the water and phosphorus substantially completely therefrom, the improvement in the processing which consists essentially of the steps of: first boiling off the water from the waste material to effect the substantially-complete removal of water therefrom, next boiling-off yellow phosphorus from the waste material, and finally burning off residual phosphorus remaining from the boiling-off of yellow phosphorus from the waste material, whereby the boiling-off of yellow phosphorus and the burning-off of the residual phosphorus effects substantially complete removal of phosphorus from the waste material to produce a substantially phosphorus-free solid residue.

  11. MUD DAUBERS Timothy J. Gibb, Extension Entomologist

    E-Print Network [OSTI]

    Ginzel, Matthew

    wasp with blue wings. This one does not build its own mud nest but instead uses the abandoned nests, activities, and facilities without regard to race, religion, color, sex, age, national origin or ancestry

  12. Monte Carlo Modeling of Nuclear Measurements in Vertical and Horizontal Wells in the Presence of Mud-Filtrate Invasion and Salt Mixing1

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    of Mud-Filtrate Invasion and Salt Mixing1 Alberto Mendoza2 , William E. Preeg3 , Carlos Torres-Verdín2 the influence of the spatial distributions of fluid saturation and salt concentration on generic compensated-bearing formation. The simulations also consider the mixing of salt between mud-filtrate and connate water. Subse

  13. Red mud characterization using nuclear analytical techniques

    SciTech Connect (OSTI)

    Obhodas, J.; Sudac, D.; Matjacic, L. [Dept. of Experimental Physics, Inst. Ruder Boskovic, Zagreb (Croatia); Valkovic, V. [A.C.T.d.o.o., Prilesje 4, Zagreb (Croatia)

    2011-07-01T23:59:59.000Z

    Red mud is a toxic waste left as a byproduct in aluminum production Bayer process. Since it contains significant concentrations of other chemical elements interesting for industry, including REE, it is also potential secondary ore source. Recent events in some countries have shown that red mud presents a serious environmental hazard if not properly stored. The subject of our study is the red mud from an ex-aluminum plant in Obrovac, Croatia, left from processing of bauxite mined during late 70's and early 80's at the eastern Adriatic coast and since than stored in open concrete basins for more than 30 years. We have used energy dispersive x-ray fluorescence analysis (both tube and radioactive source excitation), fast neutron activation analysis and passive gamma spectrometry to identify a number of elements present in the red mud, their concentration levels and radioactivity in the red mud. The high concentrations of Al, Si, Ca, Ti and Fe have been measured. Chemical elements Sc, Cr, Mn, Co, Ni, Cu, Zn, Ga, As, Se, Br, Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Pb, Th and U were found in lower concentrations. No significant levels of radioactivity have been measured. (authors)

  14. Modeling-Computer Simulations | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts,(Laney,| Jump

  15. A New Stochastic Modeling of 3-D Mud Drapes Inside Point Bar Sands in Meandering River Deposits

    SciTech Connect (OSTI)

    Yin, Yanshu, E-mail: yys6587@126.com [Yangtze University, School of Geosciences (China)] [Yangtze University, School of Geosciences (China)

    2013-12-15T23:59:59.000Z

    The environment of major sediments of eastern China oilfields is a meandering river where mud drapes inside point bar sand occur and are recognized as important factors for underground fluid flow and distribution of the remaining oil. The present detailed architectural analysis, and the related mud drapes' modeling inside a point bar, is practical work to enhance oil recovery. This paper illustrates a new stochastic modeling of mud drapes inside point bars. The method is a hierarchical strategy and composed of three nested steps. Firstly, the model of meandering channel bodies is established using the Fluvsim method. Each channel centerline obtained from the Fluvsim is preserved for the next simulation. Secondly, the curvature ratios of each meandering river at various positions are calculated to determine the occurrence of each point bar. The abandoned channel is used to characterize the geometry of each defined point bar. Finally, mud drapes inside each point bar are predicted through random sampling of various parameters, such as number, horizontal intervals, dip angle, and extended distance of mud drapes. A dataset, collected from a reservoir in the Shengli oilfield of China, was used to illustrate the mud drapes' building procedure proposed in this paper. The results show that the inner architectural elements of the meandering river are depicted fairly well in the model. More importantly, the high prediction precision from the cross validation of five drilled wells shows the practical value and significance of the proposed method.

  16. active dashgil mud: Topics by E-print Network

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

    Websites Summary: eruption The Lusi mud volcano devastates the landscape in Sidoarjo, Indonesia. In the distance, steam rises eventually Steam rises from Lusi's eruption site,...

  17. arctic intertidal mud: Topics by E-print Network

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

    Websites Summary: eruption The Lusi mud volcano devastates the landscape in Sidoarjo, Indonesia. In the distance, steam rises eventually Steam rises from Lusi's eruption site,...

  18. advanced mud hammer: Topics by E-print Network

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

    Science) Prof. Dr. Jrg Mller (Agent Systems) Dr. Frank Padberg (Software Zachmann, Gabriel 12 1 Mud Management If you own livestock on limited acres, Environmental...

  19. A comparative analysis of drilling results obtained with oil mud vs. water-base mud at High Island block A-270

    SciTech Connect (OSTI)

    Nance, W.B.; Garrett, M.M.; Gault, A.D.; Kortlang, W.F.; Muncy, D.D.

    1983-02-01T23:59:59.000Z

    Three wells on the High Island A-270B platform were drilled with water base muds and three were drilled with inverted emulsion oil muds. The drilling performance of these two mud types was compared for the six wells. Overall drilling costs were significantly lower with the oil muds due to the elimination of differential pressure pipe and casing sticking.

  20. Mud E Boot title page2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'.SolarUS Dept ofActing Chief Hazaelectronic mailMud

  1. Elastomers in mud motors for oil field applications

    SciTech Connect (OSTI)

    Hendrik, J. [Baker Hughes INTEQ GmbH, Celle (Germany)

    1997-08-01T23:59:59.000Z

    Mud motors, the most frequently used downhole drilling motors in modern drilling systems, are described in their application and function. The elastomeric liner in a mud motor acts as a huge continuous seal. Important properties of elastomers such as chemical resistance, fatigue resistance, mechanical strength, abrasion resistance, bonding to steel and processability are discussed. Advantages and disadvantages of NBR, HNBR, FKM, TFEP, and EPDM elastomers for mud motor applications are briefly described. The importance of drilling fluids and their physical and chemical impact on motor elastomers are described. Drilling fluids are categorized in: oil based-, synthetic-, and water based. Results of compatibility tests in the different drilling muds of the presented categories demonstrate the complexity of elastomer development. Elastomers with an equally good performance in all drilling muds are not available. Future developments and improvements are directed towards higher chemical resistance at higher service temperatures. This will be possible only with improved elastomer-to-metal bonding, increased mechanical and better dynamic properties.

  2. Experiments concerning the dynamic filtration of drilling mud

    E-Print Network [OSTI]

    Eller, John Gary

    1989-01-01T23:59:59.000Z

    EXPERIMENTS CONCERNING THE DYNAMIC FILTRATION OF DRILLING MUD A Thesis by JOHN GARY ELLER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May... 1989 Major Subject: Petroleum Engineering EXPERIMENTS CONCERNING THE DYNAMIC FILTRATION OF DRILLING MUD A Thesis by JOHN GARY ELLER Approved as to style and content by: Hans C. Ju am-Wold (Chair of Committee) tephen A. Holditch (Member) Ted...

  3. New mud system produces solids-free, reusable water

    SciTech Connect (OSTI)

    NONE

    1996-02-01T23:59:59.000Z

    The Corpus Christi, Texas, based Cameron Equipment Co., Inc., has developed a closed-loop mud treating system that removes solids from water-based systems and leaves the separated fluid clean and chemical free enough to be re-used directly on the rig. The system has been successfully applied by a Gulf of Mexico operator in areas where zero discharge is required. The alternative mud conditions program offered by the developers is called the Cameron Fluid Recycling System. Designed for closed-loop water-based fluids, the system is a new method of removing solids from normally discharged fluids such as drilling mud, waste and wash water, or any other water-based fluid that contains undesirable solids. The patented method efficiently produces end products that are (1) dry solids; and (2) essentially 100% solids-free fluid that can be re-used in the same mud system. All excess drilling mud, and all wash water that would normally go to the reserve pit or a cuttings barge are collected in a tank. Recycled fluid is compatible with the mud system fluid, no harmful chemicals are used, and pH is not altered.

  4. Corrective Action Decision Document/Closure Report for Corrective Action Unit 234: Mud Pits, Cellars, and Mud Spills Nevada Test Site, Nevada, Revision 0

    SciTech Connect (OSTI)

    Grant Evenson

    2008-05-01T23:59:59.000Z

    This Corrective Action Decision Document/Closure Report has been prepared for Corrective Action Unit (CAU) 234, Mud Pits, Cellars, and Mud Spills, located in Areas 2, 3, 4, 12, and 15 at the Nevada Test Site, Nevada, in accordance with the Federal Facility Agreement and Consent Order (FFACO, 1996; as amended February 2008). Corrective Action Unit 234 is comprised of the following 12 corrective action sites: •02-09-48, Area 2 Mud Plant #1 •02-09-49, Area 2 Mud Plant #2 •02-99-05, Mud Spill •03-09-02, Mud Dump Trenches •04-44-02, Mud Spill •04-99-02, Mud Spill •12-09-01, Mud Pit •12-09-04, Mud Pit •12-09-08, Mud Pit •12-30-14, Cellar •12-99-07, Mud Dump •15-09-01, Mud Pit The purpose of this Corrective Action Decision Document/Closure Report is to provide justification and documentation supporting the recommendation for closure of CAU 234 with no further corrective action. To achieve this, corrective action investigation (CAI) activities were performed as set forth in the Corrective Action Investigation Plan for Corrective Action Unit 234: Mud Pits, Cellars, and Mud Spills (NNSA/NSO, 2007). The purpose of the CAI was to fulfill the following data needs as defined during the data quality objective (DQO) process: •Determine whether contaminants of concern are present. •If contaminants of concern are present, determine their extent. •Provide sufficient information and data to complete appropriate corrective actions. The CAU 234 dataset from the investigation results was evaluated based on the data quality indicator parameters. This evaluation demonstrated the quality and acceptability of the dataset for use in fulfilling the DQO data needs.

  5. Advanced Mud System for Microhole Coiled Tubing Drilling

    SciTech Connect (OSTI)

    Kenneth Oglesby

    2008-12-01T23:59:59.000Z

    An advanced mud system was designed and key components were built that augment a coiled tubing drilling (CTD) rig that is designed specifically to drill microholes (less than 4-inch diameter) with advanced drilling techniques. The mud system was tailored to the hydraulics of the hole geometries and rig characteristics required for microholes and is capable of mixing and circulating mud and removing solids while being self contained and having zero discharge capability. Key components of this system are two modified triplex mud pumps (High Pressure Slurry Pumps) for advanced Abrasive Slurry Jetting (ASJ) and a modified Gas-Liquid-Solid (GLS) Separator for well control, flow return and initial processing. The system developed also includes an additional component of an advanced version of ASJ which allows cutting through most all materials encountered in oil and gas wells including steel, cement, and all rock types. It includes new fluids and new ASJ nozzles. The jetting mechanism does not require rotation of the bottom hole assembly or drill string, which is essential for use with Coiled Tubing (CT). It also has low reactive forces acting on the CT and generates cuttings small enough to be easily cleaned from the well bore, which is important in horizontal drilling. These cutting and mud processing components and capabilities compliment the concepts put forth by DOE for microhole coiled tubing drilling (MHTCTD) and should help insure the reality of drilling small diameter holes quickly and inexpensively with a minimal environmental footprint and that is efficient, compact and portable. Other components (site liners, sump and transfer pumps, stacked shakers, filter membranes, etc.. ) of the overall mud system were identified as readily available in industry and will not be purchased until we are ready to drill a specific well.

  6. The corrosion of some stainless steels in a marine mud

    SciTech Connect (OSTI)

    Francis, R.; Byrne, G. [Weir Materials and Foundries Park Works, Manchester (United Kingdom); Campbell, H.S. [Univ. of Surrey (United Kingdom). Dept. of Materials Science and Engineering

    1999-11-01T23:59:59.000Z

    The report presents the results for three alloys: carbon steel, 316L stainless steel and a proprietary super duplex stainless steel (UNS S32760), exposed in a marine mud off the south coast of England for 5 years. Analysis of the mud showed it to be very aggressive using a corrosion index developed at the University of Manchester. Carbon steel showed a typical corrosion rate for microbial attack with pits up to 0.64mm deep. The 316L stainless steel had extensive broad, shallow attack with a few, deeper pits. The Z100 parent pipe and weldments showed no evidence of corrosion attack.

  7. The application of a new polymer mud to horizontal drilling in the Dagang Oilfield

    SciTech Connect (OSTI)

    Yan, J.; Jiang, G.; Zong, R.

    1995-10-01T23:59:59.000Z

    A new kind of polymer muds, which is generally referred to as the amphionic polymer mud, has been applied to the two horizontal well drilling for the first time in the Dagang Oilfield, located in east China. In this mud system, two amphionic polymers are usually used as the main additives, the one with high molecular weight is an inhibitive encapsuler and filtration control agent, and the other one with low molecular weight is a deflocculant. The amphionic polymer, just as its name, is defined as the polymer that both organic cations and anions simultaneously exist in their molecular chains. The design criteria, formulations and properties of this mud system are discussed. As a case history, the field performance of this new polymer mud in the different sections of the second well (by name Guan H-1, a medium-radius horizontal well) is also given. It was shown from the laboratory and field tests that the amphionic polymer mud not only has all the advantages of the polymer muds commonly used, but is able to overcome the disadvantages of those muds, indicated by its highly inhibitive character while maintaining excellent mud performances. For this reason, the major drilling problems for horizontal wells in the Dagang Oilfield, such as hole cleaning, wellbore stability, lubricity, lost circulation and formation damage, which were hardly solved by the use of other water-based muds, could be solved successfully by the use of the amphionic polymer mud at much lower cost than the oil-based mud.

  8. Seismic interpretation and classification of mud volcanoes of the South Caspian Basin, offshore Azerbaijan. 

    E-Print Network [OSTI]

    Yusifov, Mehdi Zahid

    2005-11-01T23:59:59.000Z

    development in the South Caspian Basin is generally linked to faults, which in some instances are detached at the basement level. By using interpreted seismic surfaces it is possible to determine relative time of mud flows from the mud volcanoes. Timing of mud...

  9. ORIGINAL RESEARCH PAPER Quantitative mapping of active mud volcanism at the western

    E-Print Network [OSTI]

    Nicolas, Chamot-Rooke

    to produce a synthetic and objective map of recent mud flows covering a 640 · 700 km2 area, which representsORIGINAL RESEARCH PAPER Quantitative mapping of active mud volcanism at the western Mediterranean model for the origin for Mediterranean Ridge mud volcanism. Image analysis techniques are used

  10. Microbes turn mud into electricity By Paula Hartman Cohen

    E-Print Network [OSTI]

    Lovley, Derek

    compounds, such as toluene, to electricity. Lovley says this suggests that some Geobacters can be usedMicrobes turn mud into electricity By Paula Hartman Cohen News Office staff microorganisms can transform organic matter commonly found at the bottom of the ocean into electrical energy

  11. Evidence for the southward migration of mud banks in Florida Bay Kristian H. Taylor , Samuel J. Purkis

    E-Print Network [OSTI]

    Purkis, Sam

    primarily of biogenic carbonate lime mud originating from local calcium-carbonate producers (Stockman et al Florida Bay (Stockman et al., 1967). The production of calcium carbonate mud is estimated at 118 g/m2 of carbonate mud within Florida Bay. The calcareous algae Penicillus is also a contributor to the mud within

  12. Modeling-Computer Simulations At Walker-Lane Transitional Zone...

    Open Energy Info (EERE)

    previous seismic experiments and earthquake-monitoring projects, and data donated from mining, geothermal, and petroleum companies. We also collected (May 2002 and August 2004) two...

  13. Modeling-Computer Simulations At Central Nevada Seismic Zone...

    Open Energy Info (EERE)

    systems References D. D. Blackwell, K. W. Wisian, M. C. Richards, Mark Leidig, Richard Smith, Jason McKenna (2003) Geothermal Resource Analysis And Structure Of Basin And Range...

  14. Modeling-Computer Simulations At Northern Basin & Range Region...

    Open Energy Info (EERE)

    systems References D. D. Blackwell, K. W. Wisian, M. C. Richards, Mark Leidig, Richard Smith, Jason McKenna (2003) Geothermal Resource Analysis And Structure Of Basin And Range...

  15. Modeling-Computer Simulations At Nw Basin & Range Region (Blackwell...

    Open Energy Info (EERE)

    systems References D. D. Blackwell, K. W. Wisian, M. C. Richards, Mark Leidig, Richard Smith, Jason McKenna (2003) Geothermal Resource Analysis And Structure Of Basin And Range...

  16. Modeling-Computer Simulations At Dixie Valley Geothermal Area...

    Open Energy Info (EERE)

    vein structure associated with ore deposits. References David D. Blackwell, Richard P. Smith, Al Waibel, Maria C. Richards, Patrick Stepp (2009) Why Basin and Range Systems are...

  17. Modeling-Computer Simulations At Dixie Valley Geothermal Area...

    Open Energy Info (EERE)

    springs, and fumaroles. These samples were analyzed for noble gas abundances and their helium isotropic compositions. It was found that the geothermal fluids range from 0.70 to...

  18. Modeling-Computer Simulations At Fenton Hill HDR Geothermal Area...

    Open Energy Info (EERE)

    of the Fenton Hill HDR Reservoir Donald W. Brown (1994) How to Achieve a Four-Fold Productivity Increase at Fenton Hill Additional References Retrieved from "http:en.openei.org...

  19. Modeling-Computer Simulations (Gritto & Majer) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana Geothermal AreaImpactsGritto

  20. Modeling-Computer Simulations At Long Valley Caldera Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana

  1. Modeling-Computer Simulations At Long Valley Caldera Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana(Tempel, Et Al., 2011) | Open

  2. Modeling-Computer Simulations At Valles Caldera - Redondo Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana(Tempel, Et Al., 2011)Reiter,(Wilt

  3. Modeling-Computer Simulations (Combs, Et Al., 1999) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy Demand

  4. Modeling-Computer Simulations (Lewicki & Oldenburg, 2004) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of Energy

  5. Modeling-Computer Simulations At Long Valley Caldera Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) | Open(Battaglia, Et

  6. Modeling-Computer Simulations At Long Valley Caldera Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) | Open(Battaglia,

  7. Modeling-Computer Simulations At Long Valley Caldera Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |

  8. Modeling-Computer Simulations At Valles Caldera - Redondo Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts, Et Al.,

  9. Modeling-Computer Simulations At Valles Caldera - Sulphur Springs

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts, Et

  10. Modeling-Computer Simulations At Valles Caldera - Sulphur Springs

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts, EtGeothermal

  11. Modeling-Computer Simulations At Yellowstone Region (Laney, 2005) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts,(Laney,|

  12. Extended-length downhole mud motor designed for more power

    SciTech Connect (OSTI)

    Krueger, V. [Baker Hughes Inteq, Celle (Germany)

    1996-03-25T23:59:59.000Z

    A new positive displacement motor (PDM) designed with an extended power section has several advantages over standard mud motors run alone or in tandem. Laboratory tests during design analysis and field tests have indicated these motors can outperform both conventional and coupled mud motors, providing higher penetration rates, longer bit runs, and easier steering. As requirements for improved performance and durability of PDMs have become more demanding, a design team began working on an entirely new motor series. Modern mechanical engineering computation methods were applied for the critical and relevant components of the drilling motor assembly. Design methods and laboratory testing of entire motors, especially for the elastomer stator section, required unique melding of modeling and design evaluation techniques.

  13. Corrective Action Investigation Plan for Corrective Action Unit 234: Mud Pits, Cellars, and Mud Spills, Nevada Test Site, Nevada, Revision 0

    SciTech Connect (OSTI)

    Grant Evenson

    2007-08-01T23:59:59.000Z

    Corrective Action Unit 234, Mud Pits, Cellars, and Mud Spills, consists of 12 inactive sites located in the north and northeast section of the NTS. The 12 CAU 234 sites consist of mud pits, mud spills, mud sumps, and an open post-test cellar. The CAU 234 sites were all used to support nuclear testing conducted in the Yucca Flat and Rainier Mesa areas during the 1950s through the 1970s. The CASs in CAU 234 are being investigated because hazardous and/or radioactive constituents may be present in concentrations that could potentially pose a threat to human health and the environment. Existing information on the nature and extent of potential contamination is insufficient to evaluate and recommend corrective action alternatives for the CASs. Additional information will be generated by conducting a CAI before evaluating and selecting appropriate corrective action alternatives.

  14. Closure Report for Corrective Action Unit 544: Cellars, Mud Pits, and Oil Spills, Nevada National Security Site, Nevada, Revision 0

    SciTech Connect (OSTI)

    Mark Krauss and Catherine Birney

    2011-05-01T23:59:59.000Z

    This Closure Report (CR) presents information supporting the closure of Corrective Action Unit (CAU) 544: Cellars, Mud Pits, and Oil Spills, Nevada National Security Site, Nevada. This CR complies with the requirements of the Federal Facility Agreement and Consent Order that was agreed to by the State of Nevada; U.S. Department of Energy (DOE), Environmental Management; U.S. Department of Defense; and DOE, Legacy Management. The corrective action sites (CASs) within CAU 544 are located within Areas 2, 7, 9, 10, 12, 19, and 20 of the Nevada National Security Site. Corrective Action Unit 544 comprises the following CASs: • 02-37-08, Cellar & Mud Pit • 02-37-09, Cellar & Mud Pit • 07-09-01, Mud Pit • 09-09-46, U-9itsx20 PS #1A Mud Pit • 10-09-01, Mud Pit • 12-09-03, Mud Pit • 19-09-01, Mud Pits (2) • 19-09-03, Mud Pit • 19-09-04, Mud Pit • 19-25-01, Oil Spill • 19-99-06, Waste Spill • 20-09-01, Mud Pits (2) • 20-09-02, Mud Pit • 20-09-03, Mud Pit • 20-09-04, Mud Pits (2) • 20-09-06, Mud Pit • 20-09-07, Mud Pit • 20-09-10, Mud Pit • 20-25-04, Oil Spills • 20-25-05, Oil Spills The purpose of this CR is to provide documentation supporting the completed corrective actions and data confirming that the closure objectives for CASs within CAU 544 were met. To achieve this, the following actions were performed: • Review the current site conditions, including the concentration and extent of contamination. • Implement any corrective actions necessary to protect human health and the environment. • Properly dispose of corrective action and investigation wastes. • Document Notice of Completion and closure of CAU 544 issued by the Nevada Division of Environmental Protection.

  15. Characteristics and removal of filter cake formed by formate-based drilling mud

    E-Print Network [OSTI]

    Alotaibi, Mohammed Badri

    2009-05-15T23:59:59.000Z

    Formate-based mud has been used to drill deep gas wells in Saudi Arabia since 2004. This mud typically contains XC-polymer, starch, polyanionic cellulose, and a relatively small amount of calcium carbonate particles, and is used to drill a deep...

  16. Seismic interpretation and classification of mud volcanoes of the South Caspian Basin, offshore Azerbaijan.

    E-Print Network [OSTI]

    Yusifov, Mehdi Zahid

    2005-11-01T23:59:59.000Z

    Basin. A 2D seismic grid in southeastern offshore Azerbaijan is used to define the areal distribution of mud volcanoes and to make a classification of the mud volcanoes based on characteristic seismic features. As a result detailed database for each...

  17. Evolution and future of the Lusi mud eruption inferred from ground deformation

    E-Print Network [OSTI]

    Manga, Michael

    Evolution and future of the Lusi mud eruption inferred from ground deformation M. L. Rudolph,1,2 M] The ongoing eruption of the Lusi mud volcano in East Java, Indonesia offers the unprecedented opportunity deformation obtained from multitemporal interferometric analysis of L-band synthetic aperture radar data

  18. Evaluation of older bay mud sediment from Richmond Harbor, California

    SciTech Connect (OSTI)

    Pinza, M.R.; Mayhew, H.L.; Word, J.Q.

    1996-09-01T23:59:59.000Z

    The older, bay mud (OBM) unit predates modem man and could act as a barrier to the downward transport of contaminants from the younger bay mud (YBM) because of its hard-packed consistency. However, its chemical and biological nature have not been well characterized. Battelle/Marine Sciences Laboratory (MSL) conducted three independent studies of OBM sediment in January 1993, January 1994, and October 1994. These studies evaluated potential chemical contamination and biological effects of OBM that could occur as a result of dredging and disposal activities. These evaluations were performed by conducting chemical analysis, solid-phase toxicity tests, suspended- particulate-phase (SPP) toxicity tests, and bioaccumulation tests on the OBM sediment. If the sediment chemistry and toxicity results showed no or minimal contamination and toxicological responses, then either the OBM could be left exposed in Richmond Harbor after dredging the YBM without leaving a source of contamination, or if the project depths necessitate, the OBM would be acceptable for disposal at an appropriate disposal site.

  19. Towards Real Earth Models --Computational Geophysics on Unstructured Tetrahedral Meshes?

    E-Print Network [OSTI]

    Farquharson, Colin G.

    Towards Real Earth Models -- Computational Geophysics on Unstructured Tetrahedral Meshes? Colin tetrahedral meshes. EM geophysics on unstructured tetrahedral meshes. Disadvantages, difficulties, challenges. Conclusions. #12;Outline: Geological models! Advantages of unstructured tetrahedral meshes. EM geophysics

  20. Remedial Action Work Plan Amchitka Island Mud Pit Closures

    SciTech Connect (OSTI)

    DOE/NV

    2001-04-05T23:59:59.000Z

    This remedial action work plan presents the project organization and construction procedures developed for the performance of the remedial actions at U.S. Department of Energy (DOE's) sites on Amchitka Island, Alaska. During the late1960s and early 1970s, the U.S. Department of Defense and the U.S. Atomic Energy Commission (the predecessor agency to DOE) used Amchitka Island as a site for underground nuclear tests. A total of nine sites on the Island were considered for nuclear testing; however, tests were only conducted at three sites (i.e., Long Shot in 1965, Milrow in 1969, and Cannikin in 1971). In addition to these three sites, large diameter emplacement holes were drilled in two other locations (Sites D and F) and an exploratory hole was in a third location (Site E). It was estimated that approximately 195 acres were disturbed by drilling or preparation for drilling in conjunction with these activities. The disturbed areas include access roads, spoil-disposal areas, mud pits which have impacted the environment, and an underground storage tank at the hot mix plant which was used to support asphalt-paving operations on the island. The remedial action objective for Amchitka Island is to eliminate human and ecological exposure to contaminants by capping drilling mud pits, removing the tank contents, and closing the tank in place. The remedial actions will meet State of Alaska regulations, U.S. Fish and Wildlife Service refuge management goals, address stakeholder concerns, and address the cultural beliefs and practices of the native people. The U.S. Department of Energy, Nevada Operations Office will conduct work on Amchitka Island under the authority of the Comprehensive Emergency Response, Compensation, and Liability Act. Field activities are scheduled to take place May through September 2001. The results of these activities will be presented in a subsequent Closure Report.

  1. An investigation of the effectiveness of anhydrous mud acid to remove damage in sandstone formations 

    E-Print Network [OSTI]

    Haase, Dalan David

    1998-01-01T23:59:59.000Z

    The goal of this experimental research was to determine the reactivity of anhydrous mud acid with clay minerals present in sandstone formations and its ability to remove damage in sandstone acidizing. Berea core flood experiments were conducted...

  2. An In-depth Investigation of an Aluminum Chloride Retarded Mud Acid System on Sandstone Reservoirs

    E-Print Network [OSTI]

    Aneto, Nnenna

    2012-07-16T23:59:59.000Z

    in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Chair of Committee, Hisham Nasr-El-Din Committee Members, Jerome Schubert Mahmoud El-Halwagi Head of Department, Stephen Holditch May 2012 Major... Committee: Dr. Hisham Nasr-El-Din Sandstone acidizing using mud acid is a quick and complex process where dissolution and precipitation occur simultaneously. Retarded mud acids are less reactive with the rock reducing the reaction rate hence increased...

  3. Closure Report for Corrective Action Unit 357: Mud Pits and Waste Dump, Nevada Test Site, Nevada, Rev. No.: 0

    SciTech Connect (OSTI)

    Laura A. Pastor

    2005-04-01T23:59:59.000Z

    This Closure Report (CR) presents information supporting closure of Corrective Action Unit (CAU) 357: Mud Pits and Waste Dump, Nevada Test Site (NTS), Nevada. The CR complies with the requirements of the Federal Facility Agreement and Consent Order (FFACO) that was agreed to by the State of Nevada, U.S. Department of Energy (DOE), and the U.S. Department of Defense (FFACO, 1996). Corrective Action Unit 357 is comprised of 14 Corrective Action Sites (CASs) located in Areas 1, 4, 7, 8, 10, and 25 of the NTS (Figure 1-1). The NTS is located approximately 65 miles (mi) northwest of Las Vegas, Nevada. Corrective Action Unit 357 consists of 11 CASs that are mud pits located in Areas 7, 8, and 10. The mud pits were associated with drilling activities conducted on the NTS in support of the underground nuclear weapons testing. The remaining three CASs are boxes and pipes associated with Building 1-31.2el, lead bricks, and a waste dump. These CAS are located in Areas 1, 4, and 25, respectively. The following CASs are shown on Figure 1-1: CAS 07-09-02, Mud Pit; CAS 07-09-03, Mud Pit; CAS 07-09-04, Mud Pit; CAS 07-09-05, Mud Pit; CAS 08-09-01, Mud Pit; CAS 08-09-02, Mud Pit; CAS 08-09-03, Mud Pit; CAS 10-09-02, Mud Pit; CAS 10-09-04, Mud Pit; CAS 10-09-05, Mud Pit; CAS 10-09-06, Mud Pit, Stains, Material; CAS 01-99-01, Boxes, Pipes; CAS 04-26-03, Lead Bricks; and CAS 25-15-01, Waste Dump. The purpose of the corrective action activities was to obtain analytical data that supports the closure of CAU 357. Environmental samples were collected during the investigation to determine whether contaminants exist and if detected, their extent. The investigation and sampling strategy was designed to target locations and media most likely to be contaminated (biased sampling). A general site conceptual model was developed for each CAS to support and guide the investigation as outlined in the Streamlined Approach for Environmental Restoration (SAFER) Plan (NNSA/NSO, 2003b). This CR summarizes the results of corrective action activities, provides the data confirming the selection of corrective actions, and provides documentation of the completed closure activities conducted in accordance with the SAFER Plan (NNSA/NSO, 2003b). A brief description of the CAU and associated CASs is provided in the following section. A more detailed history of each CAS is provided in the SAFER Plan for CAU 357 (NNSA/NSO, 2003b).

  4. Strike-slip faulting as a trigger mechanism for overpressure release through piercement structures. Implications for the Lusi mud volcano, Indonesia

    E-Print Network [OSTI]

    Mazzini, Adriano

    . Implications for the Lusi mud volcano, Indonesia A. Mazzini a,*, A. Nermoen a , M. Krotkiewski a , Y 2009 Accepted 12 March 2009 Available online 19 March 2009 Keywords: Java, Indonesia Lusi mud volcano the newly formed Lusi mud volcano in Indonesia (Mazzini et al., 2007). Lusi became active the 29th of May

  5. Modeling study of growth and potential geohazard for LUSI mud volcano: East Java, Indonesia

    E-Print Network [OSTI]

    Manga, Michael

    Modeling study of growth and potential geohazard for LUSI mud volcano: East Java, Indonesia Bambang., Wisma Mulia 22nd Floor, JI. Jend. Gatot Subroto 42, 12710 Jakarta, Indonesia b Bakosurtanal, Jl. Jakarta-Bogor Km. 46, 16911 Cibinong, Indonesia c Applied Geology Research Division, Institute of Technology

  6. Forward osmosis treatment of drilling mud and fracturing wastewater from oil and gas operations

    E-Print Network [OSTI]

    Forward osmosis treatment of drilling mud and fracturing wastewater from oil and gas operations) was tested for treatment and reclamation of water from drilling waste to facilitate beneficial water reuse recover more than 80% of the water from the drilling waste. Osmotic backwashing was demonstrated

  7. Numerical Investigation of Oil -Base-Mud Contamination in Condensates: From Cleanup to Sample Quality

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    through pressure transient testing after the onset of invasion. Mud filtrate invasion takes place. For such fluids, contamination in the stock tank oil is just as critical as that of the bulk fluid because only fluids can take extremely long times to completely clean up during a formation test or even during a well

  8. Author's personal copy Numerical investigation of oil-base mud contamination in condensates: From

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    connectivity through pressure transient testing after the onset of invasion. Mud filtrate invasion takes place. For such fluids, contamination in the stock tank oil is just as critical as that of the bulk fluid because only fluids can take extremely long times to completely clean up during a formation test or even during a well

  9. Investigation of the Dashigil mud volcano (Azerbaijan) using beryllium-10 K.J. Kim a,

    E-Print Network [OSTI]

    Geological Research Division, Korea Institute of Geoscience and Mineral Resources, Daejeon 305-350, Republic of Korea b Department of Geology, Wayne State University, Detroit, MI 48202, USA c Geology Institute volcanoes, sedimentary volca- noes, gas­oil volcanoes etc. Mud volcanoes resemble magmatic volcanoes

  10. An investigation of the effectiveness of anhydrous mud acid to remove damage in sandstone formations

    E-Print Network [OSTI]

    Haase, Dalan David

    1998-01-01T23:59:59.000Z

    with a mixture of carbon dioxide, hydrogen chloride and hydrogen fluoride. These tests were carried out with oven dried cores and cores at irreducible water saturation. Anhydrous mud acid appears to be reactive with all the cores tested. However, it does...

  11. Modeling Mud-Filtrate Invasion Effects on Resistivity Logs to Estimate Permeability of Vuggy and Fractured Carbonate Formations

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    measurements with conventional and non- conventional well logs to calculate static and dynamic petrophysical/or fractures in the displacement of hydrocarbons by mud filtrate. Introduction Permeability estimation is one

  12. FORTRAN algorithm for correcting normal resistivity logs for borehold diameter and mud resistivity

    SciTech Connect (OSTI)

    Scott, J H

    1983-01-01T23:59:59.000Z

    The FORTRAN algorithm described was developed for applying corrections to normal resistivity logs of any electrode spacing for the effects of drilling mud of known resistivity in boreholes of variable diameter. The corrections are based on Schlumberger departure curves that are applicable to normal logs made with a standard Schlumberger electric logging probe with an electrode diameter of 8.5 cm (3.35 in). The FORTRAN algorithm has been generalized to accommodate logs made with other probes with different electrode diameters. Two simplifying assumptions used by Schlumberger in developing the departure curves also apply to the algorithm: (1) bed thickness is assumed to be infinite (at least 10 times larger than the electrode spacing), and (2) invasion of drilling mud into the formation is assumed to be negligible.

  13. The effect of various mud filtrates on the permeability of sandstone cores

    E-Print Network [OSTI]

    Pfile, Robert Ambrose

    1954-01-01T23:59:59.000Z

    ' or the Degree of MASTER OF SCIENCE August, 1954 MAJOR SUBJECT: PETROLEUM ENGINEERING THE EFFECT OF VARIOUS MUD FILTRATES ON THE PERMEABILITY OF SANDSTONE CORES A Thesis By Robert A. Pfile Appr ved as to styIe and content by: (Chairman of mmittee... kind and amount of clay contained in the different cores. INTRODUCTION There is general agreement among members of the petroleum industry that the productive capacity of a well penetrating a clay- containing oil sand may be seriously impaired due...

  14. Mud volcanoes and ice-keel ploughmarks, Beaufort Sea shelf, Arctic Canada

    E-Print Network [OSTI]

    Dowdeswell, J . A.; Todd, B . J.

    2015-01-01T23:59:59.000Z

    . 2013). This has led to a warming of what was terrestrial permafrost by water incursion, and to the dissociation of subsurface gas hydrates which now vent into marine waters. Accompanying this change is the development of conical submarine landforms... of the linear and curvilinear features is lost where they intersect conical mounds and associated moats, implying subsequent burial. Interpretation The conical mounds are interpreted to be mud volcanoes associated with the release of methane from gas hydrates...

  15. Method and apparatus for balancing discharge fluid flow in drilling mud treatment units

    SciTech Connect (OSTI)

    Gay, C.J.

    1983-03-29T23:59:59.000Z

    A method of controlling fluid flow in the drilling mud treatment units of an oil/gas well drilling rig such as, for example, the shale shaker, desander, desilter, and mud cleaner portions thereof provides floating the inlet of an intake conduit at the supernatent liquid layer of the drilling rig reserve pit and providing a common distributor head for routing the supernatent liquid to the various solid control units. A pump is connected to the intake conduit and the header at the intake and discharge respectively. The pump transmits the reserve pit supernatent from the reserve pit to the header by pumping. There is provided one or more branch lines affixed to the header each discharging respectively into the drain of a drilling mud treatment unit associated with the drilling rig with the flow of reserve pit supernatent liquid keeping the various drains open. The drains are positioned to discharge back into the reserve pit. The method saves the use of fresh water for the purpose of keeping drains open by the use of the supernatent liquid.

  16. Prediction of pressure depletion from wireline and mud logs, Golden Trend field, Garvin County, Oklahoma

    SciTech Connect (OSTI)

    Sorenson, R.P.; White, F.W.; Struckel, J.C.

    1987-08-01T23:59:59.000Z

    The Golden Trend, a giant oil field encompassing several overlapping Pennsylvanian stratigraphic traps on the eastern flank of the Anadarko basin, has undergone a resurgence in the 1980s with deeper drilling for pre-Pennsylvanian targets. Approximately 200 new wells in and near the Antioch Southwest, Panther Creek, and Elmore Northeast waterflood units (T2, 3N, R2, 3W) have encountered evidence of undrained reserves in both established and new pay intervals of Pennsylvanian Hart and Gibson sandstones. Although all porous Hart and Gibson sandstones in the study area were originally oil bearing, evaluation of the state of depletion is necessary for planning future recompletions to these reservoirs. In general, wireline and mud logs over intervals with known production histories exhibit characteristics suggestive of pressure depletion, even in areas of old waterfloods. The most consistent parameters correlating to low reservoir pressure are lost circulation, lack of an increase in penetration rate when drilling porous sandstone, excessive gas effect on neutron-density logs, and low methane and total gas levels on the mud logs. The resistivity invasion profile also reflects lower pressure, but is subtle. The SP curve and gas composition on the mud log do not vary substantially as a function of pressure. Visual sample shows are slightly weaker in depleted sandstones, but are less reliable, owing to dependence on reservoir quality and variations between geologists on oral descriptions of show quality.

  17. The effect of drill mud on the free amino acid pool of Acropora cervicornis

    E-Print Network [OSTI]

    Connor, Seth John

    1983-01-01T23:59:59.000Z

    THE EFFECTS OF DRILL KlD ON THE FREE AMINO ACID POOL OF ACROPORA CERVICORNIS A Thesis BETH JOHN CONNOR Approved as to style and content by: Pr ' Powel an) Thomas Br' t (Member ) $~2r- David Owens (Member ) Robert Reid (Department Head...) December 1983 ABSTRACT THE EFFECTS OF DRILL MUD ON THE FREE AMINO ACID POOL OF ACROPORA CERVICORNIS (December 1983) BETH JOHN CONNOR, B. S. , City College/CUNY; Chairman of Advisory Committee: Dr. Eric Powell Four in situ experiments were conducted...

  18. Species profiles: Life histories and environmental requirements of coastal fishes and invertebrates (Pacific Northwest): Ghost shrimp and blue mud shrimp

    SciTech Connect (OSTI)

    Horning, S.; Sterling, A.; Smith, S.D.

    1989-01-01T23:59:59.000Z

    Species profiles are literature summaries of the taxonomy, morphology, range, life history, and environmental requirements of coastal aquatic species. The profiles are prepared to assist in environmental impact assessments. The ghost shrimp (Callianassa californiensis) and blue mud shrimp (Upogebia pugettensis) are common residents of intertidal mudflats of the Pacific Northwest, as well as of the entire West Coast of the contiguous United States. These species are decapod crustaceans, but not true shrimp. They are harvested as bait by recreational and commercial oyster-growing operations. Ghost shrimp larvae develop in summer in nearshore coastal waters and settle to the substrate surface, where they rapidly metamorphose; the life cycle of the blue mud shrimp is presumed to be similar. Both species spend their lives in burrows in the mudflat, where the ghost shrimp is primarily a deposit feeder and the blue mud shrimp is a suspension feeder.

  19. Strike-slip faulting as a trigger mechanism for overpressure release through piercement structures. Implications for the Lusi mud volcano, Indonesia

    E-Print Network [OSTI]

    Podladchikov, Yuri

    . Implications for the Lusi mud volcano, Indonesia A. Mazzini a,*, A. Nermoen a , M. Krotkiewski a , Y 2009 Accepted 12 March 2009 Available online xxx Keywords: Java, Indonesia Lusi mud volcano Faulting volcano in Indonesia (Mazzini et al., 2007). Lusi became active the 29th of May 2006 on the Java Island

  20. Modeling-Computer Simulations At Coso Geothermal Area (1980) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana Geothermal

  1. Modeling-Computer Simulations At Coso Geothermal Area (2000) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana GeothermalInformation 0

  2. Modeling-Computer Simulations At Cove Fort Area (Toksoz, Et Al, 2010) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana GeothermalInformation 0Open

  3. Modeling-Computer Simulations At Desert Peak Area (Wisian & Blackwell,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana GeothermalInformation

  4. Modeling-Computer Simulations At Geysers Area (Goff & Decker, 1983) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana GeothermalInformationEnergy

  5. Modeling-Computer Simulations At Raft River Geothermal Area (1977) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana(Tempel, Et Al., 2011) |

  6. Modeling-Computer Simulations At Raft River Geothermal Area (1979) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana(Tempel, Et Al., 2011) |Energy

  7. Modeling-Computer Simulations At Raft River Geothermal Area (1980) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana(Tempel, Et Al., 2011)

  8. Modeling-Computer Simulations At San Juan Volcanic Field Area (Clarkson &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman WindMoana(Tempel, Et Al., 2011)Reiter,

  9. Modeling-Computer Simulations At Fenton Hill HDR Geothermal Area (Brown &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis of

  10. Modeling-Computer Simulations At Fenton Hill HDR Geothermal Area (Goff &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) | Open Energy

  11. Modeling-Computer Simulations At Fish Lake Valley Area (Deymonaz, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) | Open Energy2008) |

  12. Modeling-Computer Simulations At Hawthorne Area (Lazaro, Et Al., 2010) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) | Open Energy2008)

  13. Modeling-Computer Simulations At Kilauea East Rift Geothermal Area (Rudman

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) | Open

  14. Modeling-Computer Simulations At Nevada Test And Training Range Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin, Et Al.,

  15. Modeling-Computer Simulations At Northern Basin & Range Region (Biasi, Et

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin, Et Al.,Al.,

  16. Modeling-Computer Simulations At Northern Basin & Range Region (Blackwell,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin, Et

  17. Modeling-Computer Simulations At Northern Basin & Range Region (Pritchett,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin, Et2004) |

  18. Modeling-Computer Simulations At Nw Basin & Range Region (Biasi, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin, Et2004)

  19. Modeling-Computer Simulations At Nw Basin & Range Region (Blackwell, Et

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin, Et2004)Al.,

  20. Modeling-Computer Simulations At Nw Basin & Range Region (Laney, 2005) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,

  1. Modeling-Computer Simulations At Nw Basin & Range Region (Pritchett, 2004)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,| Open Energy

  2. Modeling-Computer Simulations At Obsidian Cliff Area (Hulen, Et Al., 2003)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,| Open

  3. Modeling-Computer Simulations At Raft River Geothermal Area (1983) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,| OpenEnergy

  4. Modeling-Computer Simulations At Stillwater Area (Wisian & Blackwell, 2004)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,| OpenEnergy|

  5. Modeling-Computer Simulations At The Needles Area (Bell & Ramelli, 2009) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,|

  6. Modeling-Computer Simulations At U.S. West Region (Laney, 2005) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,|Energy

  7. Modeling-Computer Simulations At U.S. West Region (Sabin, Et Al., 2004) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983) |(Sabin,|EnergyOpen

  8. Modeling-Computer Simulations At U.S. West Region (Williams & Deangelo,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)

  9. Modeling-Computer Simulations At Walker-Lane Transitional Zone Region

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts,

  10. Modeling-Computer Simulations At Walker-Lane Transitional Zone Region

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts,(Laney, 2005)

  11. Modeling-Computer Simulations At Walker-Lane Transitional Zone Region

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts,(Laney,

  12. Modeling-Computer Simulations At White Mountains Area (Goff & Decker, 1983)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula, Montana: EnergyAnalysis ofDecker, 1983)(Roberts,(Laney,| Open

  13. A study of the rate of dissolution of rock salt in drilling mud flowing under down hole conditions 

    E-Print Network [OSTI]

    Forsyth, Jackie Lee

    1990-01-01T23:59:59.000Z

    , at this and higher temperatures, the flow rate was determined from the total volume displaced and the total run time, and the salt dissolution rate was determined primarily from the weight loss measurements. MATERIALS The mud used in the tests was supplied..., the transfer of a full reservoir of mud was timed to estimate the flowrate for some of the tests at 375 F [191 Cj. Again, the polymer was tested only at room temperature. 16 DATA The rate of salt dissolution per unit area of salt surface (R...

  14. Deep-slab fluids fuel extremophilic Archaea on a Mariana forearc serpentinite mud volcano: Ocean Drilling Program

    E-Print Network [OSTI]

    Moyer, Craig

    Deep-slab fluids fuel extremophilic Archaea on a Mariana forearc serpentinite mud volcano: Ocean, M. J., S. C. Komor, P. Fryer, and C. L. Moyer, Deep-slab fluids fuel extremophilic Archaea.5, made up overwhelmingly of Archaea, is oxidizing methane from the ascending fluid to carbonate ion

  15. Like this post? Subscribe to our RSS feed and stay up to date. Navy Develops Battery that Runs on Mud

    E-Print Network [OSTI]

    Lovley, Derek

    . Geobacter uses hair-like extensions known as pili to generate electricity from mud and wastewater by converting decomposed marine organisms into electricity." By converting naturally occurring fuels and oxidants in the marine environment into electricity, Naval vessels could be running on a clean

  16. Mobilisation of arsenic from bauxite residue (red mud) affected soils: Effect of pH and redox conditions

    E-Print Network [OSTI]

    Burke, Ian

    ). Typically, it comprises residual iron oxides, quartz, sodium aluminosilicates, titanium dioxide, calciumMobilisation of arsenic from bauxite residue (red mud) affected soils: Effect of pH and redox elements, including arsenic. Aerobic and anaer- obic batch experiments were prepared using soils from near

  17. Drilling mud filtration and its effect on the electrical resistivity of porous media 

    E-Print Network [OSTI]

    Flock, Donald Louis

    1957-01-01T23:59:59.000Z

    at the saturation S^.,, The ratio of equations 5 and 6 define a new factor called the resistivity index (I) as follows: ? ? V - ( f f U ) Numerous experiments have been performed to establish the value of the empirical constants n and m c Dunlap, Bilhartz... F I G U v o lu m e R E 2 C G O G - c c INVAS ION OF BENTONITE MUD A ( C O R E S I N I T I A L L Y S A T U R A T E D W I T H B R l M E C O N T A I N I N G I O O O O P P M N A C L ) * FIGURE 4 I OOOO VARIATION OF DEPTH...

  18. The impact of shrimp trawling and associated sediment resuspension in mud dominated, shallow estuaries

    SciTech Connect (OSTI)

    Dellapenna, Timothy M.; Allison, Mead A.; Gill, Gary A.; Lehman, Ronald D.; Warnken, Kent W.

    2006-07-18T23:59:59.000Z

    To address the relative importance of shrimp trawling on seabed resuspension and bottom characteristics in shallow estuaries, a series of disturbance and monitoring experiments were conducted at a bay bottom mud site (2.5 m depth) in Galveston Bay, Texas in July 1998 and May 1999. Based on pre- and post-trawl sediment profiles of 7Be; pore water dissolved oxygen and sulfide concentration; and bulk sediment properties, it was estimated that the trawl rig, including the net, trawl doors, and ‘‘tickler chain,’’ excavate the seabed to a maximum depth of approximately 1.5 cm, with most areas displaying considerably less disturbance. Water column profile data in the turbid plume left by the trawl in these underconsolidated muds (85e90% porosity; <0.25 kPa undrained shear strength) demonstrate that suspended sediment inventories of up to 85e90 mg/cm2 are produced immediately behind the trawl net; an order of magnitude higher than pre-trawl inventories and comparable to those observed during a 9e10 m/s wind event at the study site. Plume settling and dispersion caused suspended sediment inventories to return to pre-trawl values about 14 min after trawl passage in two separate experiments, indicating particles re-settle primarily as flocs before they can be widely dispersed by local currents. As a result of the passage of the trawl rig across the seabed, shear strength of the sediment surface showed no significant increase, suggesting that bed armoring is not taking place and the trawled areas will not show an increase in critical shear stress.

  19. Building ventilation : a pressure airflow model computer generation and elements of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Building ventilation : a pressure airflow model computer generation and elements of validation H when heating a residential building, approximately 30% of the energy loss is due to air renewal[1. Thus in tropical climates, natural ventilation affects essentially the inside comfort by favouring

  20. A Unified RANS-LES Model: Computational Development, Accuracy and Cost1 Harish Gopalana

    E-Print Network [OSTI]

    Heinz, Stefan

    -Stokes (RANS) methods, applies modeling assumptions to all the scales of motion. The17 use of LES methodsA Unified RANS-LES Model: Computational Development, Accuracy and Cost1 Harish Gopalana , Stefan Heinzb, , Michael K. Stöllingera 2 aMechanical Engineering Department, University of Wyoming, 1000 E

  1. INTERNATIONAL JOURNAL OF c 2011 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing and Information

    E-Print Network [OSTI]

    Bürger, Raimund

    -dimensional model of sedimentation of suspensions of small solid particles dispersed in a viscous fluid. This model accepted spatially one-dimensional sedimentation model [35] gives rise to one scalar, nonlinear hyperbolicINTERNATIONAL JOURNAL OF c 2011 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing

  2. INTERNATIONAL JOURNAL OF c 2012 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing and Information

    E-Print Network [OSTI]

    Bürger, Raimund

    -dimensional model of sedimentation of suspensions of small solid particles dispersed in a viscous fluid. This model accepted spatially one-dimensional sedimentation model [35] gives rise to one scalar, nonlinear hyperbolicINTERNATIONAL JOURNAL OF c 2012 Institute for Scientific NUMERICAL ANALYSIS AND MODELING Computing

  3. Closure Report for Corrective Action Unit 356: Mud Pits and Disposal Sites, Nevada Test Site, Nevada with Errata Sheet

    SciTech Connect (OSTI)

    NNSA /NV

    2002-11-12T23:59:59.000Z

    This Closure Report (CR) has been prepared for Corrective Action Unit (CAU) 356, Mud Pits and Disposal Sites, in accordance with the Federal Facility Agreement and Consent Order. This CAU is located in Areas 3 and 20 of the Nevada Test Site (NTS) approximately 65 miles northwest of Las Vegas, Nevada. Corrective Action Unit 356 consists of seven Corrective Action Sites (CASs): 03-04-01, Area 3 Change House Septic System; 03-09-01, Mud Pit Spill Over; 03-09-03, Mud Pit; 03-09-04, Mud Pit; 03-09-05, Mud Pit; 20-16-01, Landfill; and 20-22-21, Drums. This CR identifies and rationalizes the U.S. Department of Energy (DOE), National Nuclear Security Administration Nevada Operations Office's (NNSA/NV's) recommendation that no further corrective action and closure in place is deemed necessary for CAU 356. This recommendation is based on the results of field investigation/closure activities conducted November 20, 2001, through January 3, 2002, and March 11 to 14, 2002. These activities were conducted in accordance with the Streamlined Approach for Environmental Restoration Plan (SAFER) for CAU 356. For CASs 03-09-01, 03-09-03, 20-16-01, and 22-20-21, analytes detected in soil during the corrective action investigation were evaluated against Preliminary Action Levels (PALs) and it was determined that no Contaminants of Concern (COCs) were present. Therefore, no further action is necessary for the soil at these CASs. For CASs 03-04-01, 03-09-04, and 03-09-05, analytes detected in soil during the corrective action investigation were evaluated against PALs and identifies total petroleum hydrocarbons (TPHs) and radionuclides (i.e., americium-241 and/or plutonium 239/240) as COCs. The nature, extent, and concentration of the TPH and radionuclide COCs were bounded by sampling and shown to be relatively immobile. Therefore, closure in place is recommended for these CASs in CAU 356. Further, use restrictions are not required at this CAU beyond the NTS use restrictions identified in the SAFER Plan. In addition, the septic tank associated with CAU 356 will be closed in accordance with applicable regulations.

  4. We develop a procedure to simulate and detect the spatial distribution of mud-filtrate invasion in the

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    of reservoirs. Accurate determination of in-situ formation resistivity as a direct measure of initial oil to a waterflood. Consequently, the invaded zone resistivity, xoR remains a direct indicator of residual oil

  5. Numerical Simulation of Mud-Filtrate Invasion in Horizontal Wells and Sensitivity Analysis of Array Induction Tools1

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    assess- ment of reservoirs. Accurate determination of in-situ forma- tion resistivity as a direct measure be regarded as analogous to a waterflood. Consequently, the invaded zone resistivity, Rxo remains a direct

  6. Use of oil-emulsion mud in the Sivells Bend Field: Gas and gas condensate operations for the independent producer. 

    E-Print Network [OSTI]

    Echols, Walter Harlan

    1954-01-01T23:59:59.000Z

    of Deyartnsnh or Stndszk kdriser) LIBRARY A A M COLLESE OF TEXAS USE OF OIL EHULSICM 1%D Ig THE SIVELL8 HEEB FIEKB GAS AHD Gkg COHDENSkTE OPERATIOES FOR THE IEMPEMDEHT PRODUCER Prior Pah1Leatione Accepted in Id. su of Thesis HALTER HARLAN ECHOLS I I I..., Iuc, printed in USA 2 USE OP OIL-EMULSION MUD IN THE SIVELLS BEND I&IELD sand fields in North Texas indicate that they are rather consistently of the dis- solved gas-drive type, resulting in short flowing lives, comparatively long pumping lives...

  7. Closure Report for Corrective Action Unit 177: Mud Pits and Cellars Nevada Test Site, Nevada, Revision 0

    SciTech Connect (OSTI)

    Alfred Wickline

    2007-02-01T23:59:59.000Z

    This Closure Report presents information supporting the closure of Corrective Action Unit (CAU) 177: Mud Pits and Cellars, Nevada Test Site, Nevada. This Closure Report complies with the requirements of the Federal Facility Agreement and Consent Order (1996) that was agreed to by the State of Nevada, the U.S. Department of Energy, and the U.S. Department of Defense. The Corrective Action Sites (CASs) within CAU 177 are located within Areas 8, 9, 19, and 20 of the Nevada Test Site. The purpose of this Closure Report is to provide documentation supporting the completed corrective actions and data that confirm the corrective actions implemented for CAU 177 CASs.

  8. DEVELOPMENT OF A MUD-PULSE HIGH-TEMPERATURE MEASUREMENT-WHILE-DRILLING (MWD) SYSTEM

    SciTech Connect (OSTI)

    John H. Cohen; Greg Deskins; William Motion; Jay Martin

    2002-01-01T23:59:59.000Z

    The overall program objective is to develop a mud-pulse measurement-while-drilling (MWD) tool for oil and gas drilling operations that can be used where downhole temperatures are as high as 195 C (383 F). The work was planned to be completed in two phases: Phase I and an optional Phase II. The objectives of Phase I were first to identify critical components of existing MWD systems that can or cannot operate at 195 C. For components not able to meet the higher standard, one of several strategies was pursued: (1) locate high-temperature replacement components, (2) develop new designs that eliminate the unavailable components, or (3) use cooling to keep components at acceptable operating temperatures (under 195 C). New designs and components were then tested under high temperatures in the laboratory. The final goal of Phase I was to assemble two high-temperature MWD prototype tools and test each in at least one low-temperature well to verify total system performance. Phase II was also envisioned as part of this development. Its objective would be to test the two new high-temperature MWD prototype tools in wells being drilled in the United States where the bottom-hole temperatures were 195 C (or the highest temperatures attainable). The high-temperature MWD tool is designed to send directional and formation data to the surface via mud pulses, to aid in the drilling of guided wellbores. The modules that comprise the tool are housed in sealed barrels that protect the electronics from exposure to down-hole fluids and pressures. These pressure barrels are hung inside a non-magnetic collar located above the drilling assembly. A number of significant accomplishments were achieved during the course of the Phase I project, including: (1) Tested two MWD strings for function in an oven at 195 C; (2) Conducted field test of prototype 195 C MWD tool (at well temperatures up to 140-180 C); (3) Tested ELCON hybrid chip with processor, clock, and memory in a custom package for 700 hours at 200 C; (4) Contracted with APS Technology to conduct study of thermoelectric cooling of downhole electronics; (5) Conducted successful Peltier cooling test with APS Technology; (6) Tested and improved the electronics of Sperry Sun's Geiger Muller-based gamma detector for operation at 195 C; (7) Developed two high-temperature magnetometers (one in-house, one with Tensor); and (8) Encouraged outside source to develop lithium/magnesium high-temperature batteries (operating temperature of 125 to 215 C). One of this project's greatest achievements was improvement in Sperry Sun's current tool with changes made as a direct result of work performed under this project. These improvements have resulted in longer life and a more robust MWD tool at the previous temperature rating of 175 C, as well as at higher temperatures. A field test of two prototype 195 C MWD tools was conducted in Lavaca County, Texas. The purpose of this operation was to provide directional services on a sidetrack of a straight hole. The sidetrack was to intersect the formation up-dip above the water/gas interface. In addition, the gamma tool provided formation data including seam tops and thickness. Results from these field tests indicate progress in the development of a 195 C tool. Although the pulsers failed downhole in both tools, failure of the pulsers was determined to be from mechanical rather than electrical causes. Analysis of the economics of the 195 C tool highlights the greatest obstacle to future commercialization. Costs to screen individual components, then subassemblies, and finally completed tools for high-temperature operations are very high. Tests to date also show a relatively short life for high-temperature tools--on the order of 300 hours. These factors mean that the daily cost of the tool will be higher (3 to 5 times more) than a conventional tool.

  9. Streamlined Approach for Environmental Restoration (SAFER) Plan for Corrective Action Unit 177: Mud Pits and Cellars, Nevada Test Site, Nevada, Rev. No.: 0

    SciTech Connect (OSTI)

    Alfred Wickline

    2006-06-01T23:59:59.000Z

    This Streamlined Approach for Environmental Restoration (SAFER) Plan addresses closure for Corrective Action Unit (CAU) 177, Mud Pits and Cellars, identified in the ''Federal Facility Agreement and Consent Order''. Corrective Action Unit 177 consists of the 12 following Corrective Action Sites (CASs) located in Areas 8, 9, 19, and 20 of the Nevada Test Site: (1) 08-23-01, Mud Pit and Cellar; (2) 09-09-41, Unknown No.3 Mud Pit/Disposal Area; (3) 09-09-45, U-9bz PS No.1A Mud Pit (1) and Cellar; (4) 09-23-05, Mud Pit and Cellar; (5) 09-23-08, Mud Pit and Cellar; (6) 09-23-09, U-9itsx20 PS No.1A Cellar; (7) 10-23-02, Mud Pit and Cellar; (8) 10-23-03, Mud Pit and Cellar; (9) 19-23-01, Mud Pit and Cellar; (10) 19-23-02, Cellar and Waste Storage Area; (11) 19-23-03, Cellar with Casing; and (12) 20-23-07, Cellar. This plan provides the methodology for field activities needed to gather the necessary information for closing each CAS. There is sufficient information and process knowledge from historical documentation and investigations of similar sites regarding the expected nature and extent of potential contaminants to recommend closure of CAU 177 using the SAFER process. The data quality objective process developed for this CAU identified the following expected closure options: (1) investigation and confirmation that no contamination exists above the preliminary action levels (PALs), leading to a no further action declaration, or (2) characterization of the nature and extent of contamination, leading to closure in place with use restrictions. The expected closure options were selected based on available information including contaminants of potential concern, future land use, and assumed risks. A decision flow process was developed to outline the collection of data necessary to achieve closure. There are two decisions that need to be answered for closure. Decision I is to determine whether contaminants of potential concern are present in concentrations exceeding the PALs. If contaminants of potential concern are found to be present above PALs, Decision II will be to determine the extent of contamination and generate the information necessary to close the site in place and implement the appropriate administrative controls (i.e., use restrictions). The following text summarizes the types of activities that will support the closure of CAU 177: (1) Perform site preparation activities (e.g., boundary setup, utility clearances, vegetation removal, movement/removal of fencing and debris). (2) Remove non-hazardous debris at various CASs, as required. (3) Collect environmental samples of residual drilling mud and soil using probabilistic (mud pits) and judgmental (cellars) sampling to confirm or disprove the presence of contaminants of concern (COCs) (i.e., nature of contamination) if these data do not already exist. Collect environmental samples from designated target populations (e.g., clean soil adjacent to contaminated soil if COCs exist) and submit for laboratory analyses to define the extent of COC contamination. (4) Establish no further action as the corrective action if no contaminants are detected above final action levels. (5) If COCs are present at a CAS, establish the corrective action and implement appropriate use restrictions. (6) Confirm the preferred closure option is sufficient to protect human health and the environment. (7) Document all closure activities for CAU 177 in a Closure Report.

  10. Trade-wind waves and mud dynamics on the French Guiana coast, South America: input from ERA-40 wave data and field investigations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    (and alongshore by the longshore component of wave energy). The episodic nature of high wave energy, and especially at the onset of the high wave energy season (October to May), when even moderate wave energy events can lead to significant mobilisation of mud. Significant phases of increased wave energy

  11. Introduction to Focus Issue: Rhythms and Dynamic Transitions in Neurological Disease: Modeling, Computation, and Experiment

    SciTech Connect (OSTI)

    Kaper, Tasso J., E-mail: tasso@bu.edu; Kramer, Mark A., E-mail: mak@bu.edu [Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02215 (United States); Rotstein, Horacio G., E-mail: horacio@njit.edu [Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102 (United States)

    2013-12-15T23:59:59.000Z

    Rhythmic neuronal oscillations across a broad range of frequencies, as well as spatiotemporal phenomena, such as waves and bumps, have been observed in various areas of the brain and proposed as critical to brain function. While there is a long and distinguished history of studying rhythms in nerve cells and neuronal networks in healthy organisms, the association and analysis of rhythms to diseases are more recent developments. Indeed, it is now thought that certain aspects of diseases of the nervous system, such as epilepsy, schizophrenia, Parkinson's, and sleep disorders, are associated with transitions or disruptions of neurological rhythms. This focus issue brings together articles presenting modeling, computational, analytical, and experimental perspectives about rhythms and dynamic transitions between them that are associated to various diseases.

  12. Streamlined Approach for Environmental Restoration (SAFER) Plan for Corrective Action Unit 356: Mud Pits and Disposal Sites, Nevada Test Site, Nevada (Revision No. 0, August 2001)

    SciTech Connect (OSTI)

    U.S. Department of Energy, National Nuclear Security Administration Nevada Operations Office (NNSA/NV)

    2001-08-21T23:59:59.000Z

    This Streamlined Approach for Environmental Restoration (SAFER) Plan addresses the actions necessary for the characterization and closure of Corrective Action Unit (CAU) 356, Mud Pits and Disposal Sites, as identified in the Federal Facility Agreement and Consent Order (FFACO). The CAU, located on the Nevada Test Site in Nevada, consists of seven Corrective Action Sites (CASs): CAS 03-04-01, Area 3 Change House Septic System; CAS 03-09-01, Mud Pit Spill Over; CAS 03-09-03, Mud Pit; CAS 03-09-04, Mud Pit; CAS 03-09-05, Mud Pit; CAS 20-16-01, Landfill; CAS 20-22-21, Drums. Sufficient information and process knowledge from historical documentation and investigations are the basis for the development of the phased approach chosen to address the data collection activities prior to implementing the preferred closure alternative for each CAS. The Phase I investigation will determine through collection of environmental samples from targeted populations (i.e., mud/soil cuttings above textural discontinuity) if contaminants of potential concern (COPCs) are present in concentrations exceeding preliminary action levels (PALs) at each of the CASs. If COPCs are present above PALs, a Phase II investigation will be implemented to determine the extent of contamination to support the appropriate corrective action alternative to complete closure of the site. Groundwater impacts from potentially migrating contaminants are not expected due to the depths to groundwater and limiting hydrologic drivers of low precipitation and high evaporation rates. Future land-use scenarios limit future uses to industrial activities; therefore, future residential uses are not considered. Potential exposure routes to site workers from contaminants of concern in septage and soils include oral ingestion, inhalation, or dermal contact (absorption) through in-advertent disturbance of contaminated structures and/or soils. Diesel within drilling muds is expected to be the primary COPC based on process knowledge. Recirculation processes within the mud pits enhance volatilization of volatile organic compounds (VOCs), thereby reducing the potential concentrations of any VOCs that may be present. A secondary source of contaminants from random truck dumping activities and leaking vehicle discharge may have released fuels, grease, motor oil, and hydraulic fluids into the mud pit effluent stream. Radionuclide contamination is not expected at these CASs based on historical information. The primary radioisotopes that could be expected, if present, are cesium-137, tritium, and strontium-90. The SAFER process ends with closure of the site based on the laboratory analytical results of the environmental samples. There is sufficient information and process knowledge from historical documentation regarding the expected nature and extent of potential contaminants to recommend closure of CAU 356 using the SAFER process. On completion of the field activities, a Closure Report will be prepared and submitted to the Nevada Division of Environmental Protection for review and approval.

  13. Streamlined Approach for Environmental Restoration (SAFER) Plan for Corrective Action Unit 553: Areas 19, 20 Mud Pits and Cellars, Nevada Test Site, Nevada, Rev. No. 0

    SciTech Connect (OSTI)

    Boehlecke, Robert F.

    2006-11-01T23:59:59.000Z

    This Streamlined Approach for Environmental Restoration (SAFER) Plan addresses the actions necessary for the closure of Corrective Action Unit (CAU) 553: Areas 19, 20 Mud Pits and Cellars, Nevada Test Site (NTS), Nevada. It has been developed in accordance with the ''Federal Facility Agreement and Consent Order'' (FFACO) (1996) that was agreed to by the State of Nevada, the U.S. Department of Energy (DOE), and the U.S. Department of Defense. A SAFER may be performed when the following criteria are met: (1) Conceptual corrective actions are clearly identified (although some degree of investigation may be necessary to select a specific corrective action before completion of the Corrective Action Investigation [CAI]); (2) Uncertainty of the nature, extent, and corrective action must be limited to an acceptable level of risk; (3) The SAFER Plan includes decision points and criteria for making data quality objective (DQO) decisions. The purpose of the investigation will be to document and verify the adequacy of existing information; to affirm the decision for clean closure, closure in place, or no further action; and to provide sufficient data to implement the corrective action. The actual corrective action selected will be based on characterization activities implemented under this SAFER Plan. This SAFER Plan identifies decision points developed in cooperation with the Nevada Department of Environmental Protection (NDEP), where the DOE, National Nuclear Security Administration Nevada Site Office (NNSA/NSO) will reach consensus with the NDEP before beginning the next phase of work. Corrective Action Unit 553 is located in Areas 19 and 20 of the NTS, approximately 65 miles (mi) northwest of Las Vegas, Nevada (Figure 1-1). Corrective Action Unit 553 is comprised of the four Corrective Action Sites (CASs) shown on Figure 1-1 and listed below: 19-99-01, Mud Spill; 19-99-11, Mud Spill; 20-09-09, Mud Spill; and 20-99-03, Mud Spill. There is sufficient information and process knowledge from historical documentation and investigations of similar sites (i.e., the expected nature and extent of contaminants of potential concern [COPCs]) to recommend closure of CAU 553 using the SAFER process (FFACO, 1996).

  14. Building ventilation: A pressure airflow model computer generation and elements of validation

    E-Print Network [OSTI]

    Boyer, H; Adelard, L; Mara, T A

    2012-01-01T23:59:59.000Z

    The calculation of airflows is of great importance for detailed building thermal simulation computer codes, these airflows most frequently constituting an important thermal coupling between the building and the outside on one hand, and the different thermal zones on the other. The driving effects of air movement, which are the wind and the thermal buoyancy, are briefly outlined and we look closely at their coupling in the case of buildings, by exploring the difficulties associated with large openings. Some numerical problems tied to the resolving of the non-linear system established are also covered. Part of a detailled simulation software (CODYRUN), the numerical implementation of this airflow model is explained, insisting on data organization and processing allowing the calculation of the airflows. Comparisons are then made between the model results and in one hand analytical expressions and in another and experimental measurements in case of a collective dwelling.

  15. Simulations Data Simulation Type

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    to request different simulations data. The flow chart above demonstrates the different steps and options@ornl.gov) Autotune Drupal 7 CMS Current building energy models (BEMs), using EnergyPlus or other simulations, are unreliable because they have to constantly be calibrated to match actual energy usage data. Currently

  16. X-ray micro-tomography investigation of the foaming process in the system of waste glass–silica mud–MnO{sub 2}

    SciTech Connect (OSTI)

    Ducman, V., E-mail: vilma.ducman@zag.si [ZAG Ljubljana, Dimi?eva 12, 1000 Ljubljana (Slovenia); Korat, L.; Legat, A. [ZAG Ljubljana, Dimi?eva 12, 1000 Ljubljana (Slovenia); Mirti?, B. [NTF, Ašker?eva 12, 1000 Ljubljana (Slovenia)

    2013-12-15T23:59:59.000Z

    In case of foamed lightweight aggregates (LWAs), porosity is introduced by the addition of a foaming agent to the glassy matrix, which degasses at an elevated temperature, so that the resulting gases remain trapped inside the glassy structure. The efficiency of action of MnO{sub 2} as a foaming agent in waste glass and waste glass/silica mud systems was studied. Samples were fired at different temperatures and with different dwelling times at a certain temperature, and the development of porosity was investigated by means of X-ray micro-tomography. It was found that, with the prolongation in dwelling times, the number of pores decreased, while, on the other hand, the volume of these pores increased, and that the addition of silica mud increases the foaming temperature and slows down the foaming process. - Highlights: • Preparation of lightweight aggregate from waste glass, silica sludge, and MnO{sub 2} • DTA/TG investigation of MnO{sub 2} • Characterization of pore-forming process by means of X-ray micro-tomography (?cT)

  17. Mud-Brick Architecture

    E-Print Network [OSTI]

    Emery, Virginia L.

    2011-01-01T23:59:59.000Z

    Publishers. Minault-Gout, Anne, and Patrick Deleuze 1992at Balat/Ain Asil (Minault-Gout and Deleuze 1992: 15 - 30,

  18. Mud-Brick Architecture

    E-Print Network [OSTI]

    Emery, Virginia L.

    2011-01-01T23:59:59.000Z

    architecture in ancient Egypt. Warminster: Aris & Phillips.In Glimpses of ancient Egypt: Studies in honour of H. W.organization in ancient Egypt more generally. References

  19. Estimation of Dry-Rock Elastic Moduli Based on the Simulation of Mud-Filtrate Invasion Effects on Borehole Acoustic Logs

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    of Petroleum Engineers This paper was prepared for presentation at the 2007 SPE Annual Technical Conference(s). Contents of the paper, as presented, have not been reviewed by the Society of Petroleum Engineers position of the Society of Petroleum Engineers, its officers, or members. Papers presented at SPE meetings

  20. Assessment of Molecular Modeling & Simulation

    SciTech Connect (OSTI)

    None

    2002-01-03T23:59:59.000Z

    This report reviews the development and applications of molecular and materials modeling in Europe and Japan in comparison to those in the United States. Topics covered include computational quantum chemistry, molecular simulations by molecular dynamics and Monte Carlo methods, mesoscale modeling of material domains, molecular-structure/macroscale property correlations like QSARs and QSPRs, and related information technologies like informatics and special-purpose molecular-modeling computers. The panel's findings include the following: The United States leads this field in many scientific areas. However, Canada has particular strengths in DFT methods and homogeneous catalysis; Europe in heterogeneous catalysis, mesoscale, and materials modeling; and Japan in materials modeling and special-purpose computing. Major government-industry initiatives are underway in Europe and Japan, notably in multi-scale materials modeling and in development of chemistry-capable ab-initio molecular dynamics codes.

  1. Addendum 2 to the Closure Report for Corrective Action Unit 358: Areas 18, 19, 20 Cellars/Mud Pits, Nevada Test Site, Nevada, Revison 0

    SciTech Connect (OSTI)

    Grant Evenson

    2009-05-01T23:59:59.000Z

    This document constitutes an addendum to the Closure Report for Corrective Action Unit 358: Areas 18, 19, 20 Cellars/Mud Pits, Nevada Test Site, Nevada, January 2004 as described in the document Supplemental Investigation Report for FFACO Use Restrictions, Nevada Test Site, Nevada (SIR) dated November 2008. The SIR document was approved by NDEP on December 5, 2008. The approval of the SIR document constituted approval of each of the recommended UR removals. In conformance with the SIR document, this addendum consists of: • This page that refers the reader to the SIR document for additional information • The cover, title, and signature pages of the SIR document • The NDEP approval letter • The corresponding section of the SIR document This addendum provides the documentation justifying the cancellation of the UR for CAS 19-09-05, Mud Pit. This UR was established as part of a Federal Facility Agreement and Consent Order (FFACO) corrective action and is based on the presence of contaminants at concentrations greater than the action levels established at the time of the initial investigation (FFACO, 1996). Since this UR was established, practices and procedures relating to the implementation of risk-based corrective actions (RBCA) have changed. Therefore, this UR was reevaluated against the current RBCA criteria as defined in the Industrial Sites Project Establishment of Final Action Levels (NNSA/NSO, 2006). This re-evaluation consisted of comparing the original data (used to define the need for the UR) to risk-based final action levels (FALs) developed using the current Industrial Sites RBCA process. The re-evaluation resulted in a recommendation to remove the UR because contamination is not present at the site above the risk-based FALs. Requirements for inspecting and maintaining this UR will be canceled, and the postings and signage at this site will be removed. Fencing and posting may be present at this site that are unrelated to the FFACO UR such as for radiological control purposes as required by the NV/YMP Radiological Control Manual (NNSA/NSO, 2004). This modification will not affect or modify any non-FFACO requirements for fencing, posting, or monitoring at this site.

  2. Addendum to the Closure Report for Corrective Action Unit 356: Mud Pits and Disposal Sites Nevada Test Site, Nevada, Revision 0

    SciTech Connect (OSTI)

    Lynn Kidman

    2008-10-01T23:59:59.000Z

    This document constitutes an addendum to the November 2002, Closure Report for Corrective Action Unit 356: Mud Pits and Disposal Sites as described in the document Recommendations and Justifications for Modifications for Use Restrictions Established under the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office Federal Facility Agreement and Consent Order (UR Modification document) dated February 2008. The UR Modification document was approved by NDEP on February 26, 2008. The approval of the UR Modification document constituted approval of each of the recommended UR modifications. In conformance with the UR Modification document, this addendum consists of: • This cover page that refers the reader to the UR Modification document for additional information • The cover and signature pages of the UR Modification document • The NDEP approval letter • The corresponding section of the UR Modification document This addendum provides the documentation justifying the cancellation of the URs for: • CAS 03-04-01, Area 3 Change House Septic System • CAS 03-09-04, Mud Pit These URs were established as part of Federal Facility Agreement and Consent Order (FFACO) corrective actions and were based on the presence of contaminants at concentrations greater than the action levels established at the time of the initial investigation (FFACO, 1996; as amended August 2006). Since these URs were established, practices and procedures relating to the implementation of risk-based corrective actions (RBCA) have changed. Therefore, these URs were re-evaluated against the current RBCA criteria as defined in the Industrial Sites Project Establishment of Final Action Levels (NNSA/NSO, 2006c). This re-evaluation consisted of comparing the original data (used to define the need for the URs) to risk-based final action levels (FALs) developed using the current Industrial Sites RBCA process. The re-evaluation resulted in a recommendation to remove these URs because contamination is not present at these sites above the risk-based FALs. Requirements for inspecting and maintaining these URs will be canceled, and the postings and signage at each site will be removed. Fencing and posting may be present at these sites that are unrelated to the FFACO URs such as for radiological control purposes as required by the NV/YMP Radiological Control Manual (NNSA/NSO, 2004f). This modification will not affect or modify any non-FFACO requirements for fencing, posting, or monitoring at these sites.

  3. Addendum to the Closure Report for Corrective Action Unit 357: Mud Pits and Waste Dump, Nevada Test Site, Nevada, Revision 0

    SciTech Connect (OSTI)

    Krauss, Mark J

    2013-10-01T23:59:59.000Z

    This document constitutes an addendum to the Closure Report for Corrective Action Unit 357: Mud Pits and Waste Dump, Nevada Test Site, Nevada as described in the document Recommendations and Justifications To Remove Use Restrictions Established under the U.S. Department of Energy, National Nuclear Security Administration Nevada Field Office Federal Facility Agreement and Consent Order dated September 2013. The Use Restriction Removal document was approved by the Nevada Division of Environmental Protection on October 16, 2013. The approval of the UR Removal document constituted approval of each of the recommended UR removals. In conformance with the UR Removal document, this addendum consists of: This page that refers the reader to the UR Removal document for additional information The cover, title, and signature pages of the UR Removal document The NDEP approval letter The corresponding section of the UR Removal document This addendum provides the documentation justifying the cancellation of the UR for CAS 04-26-03, Lead Bricks. This UR was established as part of FFACO corrective actions and was based on the presence of lead contamination at concentrations greater than the action level established at the time of the initial investigation.

  4. Uncertainty and error in computational simulations

    SciTech Connect (OSTI)

    Oberkampf, W.L.; Diegert, K.V.; Alvin, K.F.; Rutherford, B.M.

    1997-10-01T23:59:59.000Z

    The present paper addresses the question: ``What are the general classes of uncertainty and error sources in complex, computational simulations?`` This is the first step of a two step process to develop a general methodology for quantitatively estimating the global modeling and simulation uncertainty in computational modeling and simulation. The second step is to develop a general mathematical procedure for representing, combining and propagating all of the individual sources through the simulation. The authors develop a comprehensive view of the general phases of modeling and simulation. The phases proposed are: conceptual modeling of the physical system, mathematical modeling of the system, discretization of the mathematical model, computer programming of the discrete model, numerical solution of the model, and interpretation of the results. This new view is built upon combining phases recognized in the disciplines of operations research and numerical solution methods for partial differential equations. The characteristics and activities of each of these phases is discussed in general, but examples are given for the fields of computational fluid dynamics and heat transfer. They argue that a clear distinction should be made between uncertainty and error that can arise in each of these phases. The present definitions for uncertainty and error are inadequate and. therefore, they propose comprehensive definitions for these terms. Specific classes of uncertainty and error sources are then defined that can occur in each phase of modeling and simulation. The numerical sources of error considered apply regardless of whether the discretization procedure is based on finite elements, finite volumes, or finite differences. To better explain the broad types of sources of uncertainty and error, and the utility of their categorization, they discuss a coupled-physics example simulation.

  5. Mudpots, Mud Pools, or Mud Volcanoes | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula,MontereyHill,Spurr GeothermalInformationMtMt.

  6. Residential California adobe : mud form

    E-Print Network [OSTI]

    Daymond, Diana Leigh

    1985-01-01T23:59:59.000Z

    Northern California has a rich tradition of adobe architecture . Formed with earth, defined by site, climate and use, the adobe structures exemplify a building methodology in harmony with nature and the lifestyle of it's ...

  7. Mud Logging | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinutemanVistaZephyr)Mountain AirPeakMubadalaLogging

  8. Quantitative comparison of processes of oil-and water-based mud-filtrate invasion and corresponding effects on borehole resistivity measurements

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    resistivity from the simulated radial distri- butions of water saturation and salt concentration and compare of OBM invasion compared with those of WBM invasion. INTRODUCTION During the process of drilling wells for hydrocarbon exploration and production, drilling fluids sustain a pressure higher than that of formation

  9. Self-Organized Criticality as a Method of Procedural Modeling Computer Graphics Lab, David R. Cheriton School of Computer Science, University of Waterloo

    E-Print Network [OSTI]

    Waterloo, University of

    simulate the melting of the polar ice cap in a plausible way. I have used the following parameters in 1982. Simulation of ice cap melting. Polar ice cap in 2008. [1] H. Ahlenius. Arctic Sea Ice Minimum on the sampling density of the graph). POLAR ICE CAP The extended SOC-based procedural modeling method can

  10. A restructurable logic simulator

    E-Print Network [OSTI]

    Ledford, Gordon Lee

    1985-01-01T23:59:59.000Z

    , notably logic simulators. This paper reviews the event-driven simulation algorithm used by most software- based simulators and a handful of the existing special-purpose hardware-based logic simulation accelerators. A new hardware-based accelerator... architecture is then presented, that of the restructurab)e logic simulator. This accelerator is based on a, memory-like module. referred to as the restructurable logic simulation accelerator, that essentially "stores" a portion of the network to be simulated...

  11. Vehicle Modeling and Simulation

    Broader source: Energy.gov (indexed) [DOE]

    Vehicle Modeling and Simulation Vehicle Modeling and Simulation Matthew Thornton National Renewable Energy Laboratory matthewthornton@nrel.gov phone: 303.275.4273 Principal...

  12. Invasion Correction of Acoustic Logs in a Gas Reservoir Shihong Chi*, Jianghui Wu, and Carlos Torres-Verdin, The University of Texas at Austin

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    Torres-Verdin, The University of Texas at Austin Summary Mud-filtrate invasion modifies the connate fluid saturation distribution of mud filtrate and connate formation fluids is first obtained by simulating the mud, the near-wellbore formation is often altered by stress, mud-filtrate invasion, chemical reactions, and many

  13. Web Interface Call Simulator

    E-Print Network [OSTI]

    Ernst, Damien

    Web Interface Call Simulator Stage Description Web Interface for VoIP Call Simulator Net) Version 1.0 ­ 3/09/2012 Page 1 of 6 #12;Web Interface Call Simulator Version 1.0 ­ 3/09/2012 Page 2 of 6 #12;Web Interface Call Simulator Document Control Version Date Notes 1.0 25/8/2012 Reviewed

  14. Multidisciplinary multi-physics simulation and

    E-Print Network [OSTI]

    Extraction Plasma Enabler & Control Measurement Science Modeling , Computation & Validation Plasma Material Nuclear Instrumentation H&CD Fueling Pumping Control Systems Burning Plasma Neutron Transport Material, materials responses Other systems Fusion externals, remote handling, site power, waste management, safety

  15. Simulation Server Project 25

    E-Print Network [OSTI]

    1 Simulation Server for Project 25: Inter-RF Subsystem Interface (ISSI) September 30, 2011 Simulation Server v1.0.0 #12;2 1. Executive Overview..................................................................................................................... 5 3.1. Starting the Server

  16. Software interoperability for energy simulation

    E-Print Network [OSTI]

    Hitchcock, Robert J.

    2002-01-01T23:59:59.000Z

    Tools,” in Building Energy Simulation User News, Vol. 22,Interoperability for Energy Simulation Robert J. Hitchcock,Interoperability for Energy Simulation Robert J. Hitchcock,

  17. Simulating Fluids Exhibiting Microstructure

    E-Print Network [OSTI]

    Title: Simulating Fluids Exhibiting Microstructure Speaker: Noel J. Walkington, ... fluids containing elastic particles, and polymer fluids, all exhibit non-trivial ...

  18. Whole Building Energy Simulation

    Broader source: Energy.gov [DOE]

    Whole building energy simulation, also referred to as energy modeling, can and should be incorporated early during project planning to provide energy impact feedback for which design considerations...

  19. Category:Mud Logging | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here. Category:Conceptual ModelLists forMercury Vapor page?Logging page?

  20. Radiation detector spectrum simulator

    DOE Patents [OSTI]

    Wolf, M.A.; Crowell, J.M.

    1985-04-09T23:59:59.000Z

    A small battery operated nuclear spectrum simulator having a noise source generates pulses with a Gaussian distribution of amplitudes. A switched dc bias circuit cooperating therewith to generate several nominal amplitudes of such pulses and a spectral distribution of pulses that closely simulates the spectrum produced by a radiation source such as Americium 241.

  1. Lagrangian Simulation of Combustion

    SciTech Connect (OSTI)

    Ahmed F. Ghoniem

    2008-05-01T23:59:59.000Z

    A Lagrangian approach for the simulation of reactive flows has been developed during the course of this project, and has been applied to a number of significant and challenging problems including the transverse jet simulations. An efficient strategy for parallel domain decomposition has also been developed to enable the implementation of the approach on massively parallel architecture. Since 2005, we focused our efforts on the development of a semi-Lagrangian treatment of diffusion, and fast and accurate Lagrangian simulation tools for multiphysics problems including combustion.

  2. Overview of Simulation Strategies for

    E-Print Network [OSTI]

    Rudnyi, Evgenii B.

    topography simulations; Multi-scale simulation (atomistic-continuum); fast coupling of equipment-topography-electrical-reliability modeling Front-end process modeling Integrated modeling of equipment and materials Lithography simulation

  3. Simulating the Quantum Magnet

    E-Print Network [OSTI]

    Friedenauer, Axel; Glückert, Jan Tibor; Porras, Diego; Schätz, Tobias

    2008-01-01T23:59:59.000Z

    To gain deeper insight into the dynamics of complex quantum systems we need a quantum leap in computer simulations. We can not translate quantum behaviour arising with superposition states or entanglement efficiently into the classical language of conventional computers. The final solution to this problem is a universal quantum computer [1], suggested in 1982 and envisioned to become functional within the next decade(s); a shortcut was proposed via simulating the quantum behaviour of interest in a different quantum system, where all parameters and interactions can be controlled and the outcome detected sufficiently well. Here we study the feasibility of a quantum simulator based on trapped ions [2]. We experimentally simulate the adiabatic evolution of the smallest non-trivial spin system from the paramagnetic into the (anti-)ferromagnetic order with a quantum magnetisation for two spins of 98%, controlling and manipulating all relevant parameters of the Hamiltonian independently via electromagnetic fields. W...

  4. Theory Modeling and Simulation

    SciTech Connect (OSTI)

    Shlachter, Jack [Los Alamos National Laboratory

    2012-08-23T23:59:59.000Z

    Los Alamos has a long history in theory, modeling and simulation. We focus on multidisciplinary teams that tackle complex problems. Theory, modeling and simulation are tools to solve problems just like an NMR spectrometer, a gas chromatograph or an electron microscope. Problems should be used to define the theoretical tools needed and not the other way around. Best results occur when theory and experiments are working together in a team.

  5. Scalable, efficient epidemiological simulation

    SciTech Connect (OSTI)

    Eubank, S. G. (Stephen G.)

    2001-01-01T23:59:59.000Z

    We describe the design and implementation of a system for simulating the spread of disease among individuals in a large urban population over the course of several weeks, In contrast to traditional approaches, we do not assume uniform mixing among large sub-populations or split the population into spatial or demographic subpopulations determined a priori. Instead, we rely on empirical estimates of the social network, or contact patterns, that are produced by TRANSIMS, a large-scale simulation of transportation systems.

  6. Xyce parallel electronic simulator.

    SciTech Connect (OSTI)

    Keiter, Eric Richard; Mei, Ting; Russo, Thomas V.; Rankin, Eric Lamont; Schiek, Richard Louis; Thornquist, Heidi K.; Fixel, Deborah A.; Coffey, Todd Stirling; Pawlowski, Roger Patrick; Santarelli, Keith R.

    2010-05-01T23:59:59.000Z

    This document is a reference guide to the Xyce Parallel Electronic Simulator, and is a companion document to the Xyce Users' Guide. The focus of this document is (to the extent possible) exhaustively list device parameters, solver options, parser options, and other usage details of Xyce. This document is not intended to be a tutorial. Users who are new to circuit simulation are better served by the Xyce Users' Guide.

  7. Sandia National Laboratories: combustion simulation

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

    combustion simulation Direct Measurement of Key Molecule Will Increase Accuracy of Combustion Models On March 3, 2015, in Computational Modeling & Simulation, CRF, Energy,...

  8. Sampled simulation for multithreaded processors

    E-Print Network [OSTI]

    Van Biesbrouck, Michael

    2007-01-01T23:59:59.000Z

    1. Starting O? set E?ects in SMT Simulation 2. Evaluatingdual hardware context SMT Processor. . . . . . . . . . . . .results of co-phase matrix simulation. SMT processor con?

  9. High performance distributed simulation for interactive simulated vascular reconstruction

    E-Print Network [OSTI]

    Amsterdam, Universiteit van

    performance. 1 Introduction Interactive simulation environments are dynamic systems that combine simula- tion.1 Performance of interactive simulation environments The most important factor in the performance of a dynamic dynamic simulation environment. 1 1 2 2 3 visualization rendering simulation time rendering delay

  10. Simulating the Quantum Magnet

    E-Print Network [OSTI]

    Axel Friedenauer; Hector Schmitz; Jan Tibor Glückert; Diego Porras; Tobias Schätz

    2008-02-27T23:59:59.000Z

    To gain deeper insight into the dynamics of complex quantum systems we need a quantum leap in computer simulations. We can not translate quantum behaviour arising with superposition states or entanglement efficiently into the classical language of conventional computers. The final solution to this problem is a universal quantum computer [1], suggested in 1982 and envisioned to become functional within the next decade(s); a shortcut was proposed via simulating the quantum behaviour of interest in a different quantum system, where all parameters and interactions can be controlled and the outcome detected sufficiently well. Here we study the feasibility of a quantum simulator based on trapped ions [2]. We experimentally simulate the adiabatic evolution of the smallest non-trivial spin system from the paramagnetic into the (anti-)ferromagnetic order with a quantum magnetisation for two spins of 98%, controlling and manipulating all relevant parameters of the Hamiltonian independently via electromagnetic fields. We prove that the observed transition is not driven by thermal fluctuations, but of quantum mechanical origin, the source of quantum fluctuations in quantum phase transitions [3]. We observe a final superposition state of the two degenerate spin configurations for the ferromagnetic and the antiferromagnetic order, respectively. These correspond to deterministically entangled states achieved with a fidelity up to 88%. Our work demonstrates a building block for simulating quantum spin-Hamiltonians with trapped ions. The method has potential for scaling to a higher number of coupled spins [2].

  11. Simulating neural systems with Xyce.

    SciTech Connect (OSTI)

    Schiek, Richard Louis; Thornquist, Heidi K.; Mei, Ting; Warrender, Christina E.; Aimone, James Bradley; Teeter, Corinne; Duda, Alex M. [University of Illinois, Urbana-Champaign

    2012-12-01T23:59:59.000Z

    Sandia's parallel circuit simulator, Xyce, can address large scale neuron simulations in a new way extending the range within which one can perform high-fidelity, multi-compartment neuron simulations. This report documents the implementation of neuron devices in Xyce, their use in simulation and analysis of neuron systems.

  12. Snowmass Energy Frontier Simulations

    E-Print Network [OSTI]

    Jacob Anderson; Aram Avetisyan; Raymond Brock; Sergei Chekanov; Timothy Cohen; Nitish Dhingra; James Dolen; James Hirschauer; Kiel Howe; Ashutosh Kotwal; Tom LeCompte; Sudhir Malik; Patricia Mcbride; Kalanand Mishra; Meenakshi Narain; Jim Olsen; Sanjay Padhi; Michael E. Peskin; John Stupak III; Jay G. Wacker

    2013-09-01T23:59:59.000Z

    This document describes the simulation framework used in the Snowmass Energy Frontier studies for future Hadron Colliders. An overview of event generation with {\\sc Madgraph}5 along with parton shower and hadronization with {\\sc Pythia}6 is followed by a detailed description of pile-up and detector simulation with {\\sc Delphes}3. Details of event generation are included in a companion paper cited within this paper. The input parametrization is chosen to reflect the best object performance expected from the future ATLAS and CMS experiments; this is referred to as the "Combined Snowmass Detector". We perform simulations of $pp$ interactions at center-of-mass energies $\\sqrt{s}=$ 14, 33, and 100 TeV with 0, 50, and 140 additional $pp$ pile-up interactions. The object performance with multi-TeV $pp$ collisions are studied for the first time using large pile-up interactions.

  13. Liquid filtration simulation

    SciTech Connect (OSTI)

    Corey, I.; Bergman, W.

    1996-06-01T23:59:59.000Z

    We have a developed a computer code that simulates 3-D filtration of suspended particles in fluids in realistic filter structures. This code, being the most advanced filtration simulation package developed to date, provides LLNL and DOE with new capabilities to address problems in cleaning liquid wastes, medical fluid cleaning, and recycling liquids. The code is an integrated system of commercially available and LLNL-developed software; the most critical are the computational fluid dynamics (CFD) solver and the particle transport program. For the CFD solver, we used a commercial package based on Navier-Stokes equations and a LLNL-developed package based on Boltzman-lattice gas equations. For the particle transport program, we developed a cod based on the 3-D Langevin equation of motion and the DLVO theory of electrical interactions. A number of additional supporting packages were purchased or developed to integrate the simulation tasks and to provide visualization output.

  14. Building Galaxies with Simulations

    E-Print Network [OSTI]

    Romeel Davé; Kristian Finlator; Lars Hernquist; Neal Katz; Dušan Kereš; Casey Papovich; David H. Weinberg

    2005-10-20T23:59:59.000Z

    We present an overview of some of the issues surrounding current models of galaxy formation, highlighting recent insights obtained from cosmological hydrodynamic simulations. Detailed examination of gas accretion processes show a hot mode of gas cooling from near the halo's virial temperature, and a previously underappreciated cold mode where gas flows in along filaments on dynamical timescales, emitting its energy in line radiation. Cold mode dominates in systems with halo masses slightly smaller than the Milky Way and below, and hence dominates the global accretion during the heydey of galaxy formation. This rapid accretion path enables prompt assembly of massive galaxies in the early universe, and results in $z\\sim 4$ galaxy properties in broad agreement with observations, with the most massive galaxies being the most rapid star formers. Massive galaxies today are forming stars at a much reduced rate, a trend called downsizing. The trend of downsizing is naturally reproduced in simulations, owing to a transition from cold mode accretion in the early growth phase to slower hot mode accretion once their halos grow large. However, massive galaxies at the present epoch are still observed to have considerably redder colors than simulations suggest, suggesting that star formation is not sufficiently truncated in models by the transition to hot mode, and that another process not included in current simulations is required to suppress star formation.

  15. The gem5 simulator

    E-Print Network [OSTI]

    Nathan Binkert; Bradford Beckmann; Gabriel Black; Steven K. Reinhardt; Ali Saidi; Arkaprava Basu; Joel Hestness; Derek R. Hower; Tushar Krishna; Somayeh Sardashti; Rathijit Sen; Korey Sewell; Muhammad Shoaib; Nilay Vaish; Mark D. Hill; David A. Wood

    2011-01-01T23:59:59.000Z

    The gem5 simulation infrastructure is the merger of the best aspects of the M5 [4] and GEMS [9] simulators. M5 provides a highly configurable simulation framework, multiple ISAs, and diverse CPU models. GEMS complements these features with a detailed and flexible memory system, including support for multiple cache coherence protocols and interconnect models. Currently, gem5 supports most commercial ISAs (ARM, ALPHA, MIPS, Power, SPARC, and x86), including booting Linux on three of them (ARM, ALPHA, and x86). The project is the result of the combined efforts of many academic and industrial institutions, including AMD, ARM, HP, MIPS, Princeton, MIT, and the Universities of Michigan, Texas, and Wisconsin. Over the past ten years, M5 and GEMS have been used in hundreds of publications and have been downloaded tens of thousands of times. The high level of collaboration on the gem5 project, combined with the previous success of the component parts and a liberal BSD-like license, make gem5 a valuable full-system simulation tool. 1

  16. Simulation of geothermal subsidence

    SciTech Connect (OSTI)

    Miller, I.; Dershowitz, W.; Jones, K.; Myer, L.; Roman, K.; Schauer, M.

    1980-03-01T23:59:59.000Z

    The results of an assessment of existing mathematical models for subsidence simulation and prediction are summarized. The following subjects are discussed: the prediction process, physical processes of geothermal subsidence, computational models for reservoir flow, computational models for deformation, proficiency assessment, and real and idealized case studies. (MHR)

  17. Simulating Inhomogeneous Reionization

    E-Print Network [OSTI]

    Michael L. Norman; Paschalis Paschos; Tom Abel

    1998-07-28T23:59:59.000Z

    We describe an approach for incorporating radiative transfer into 3D hydrodynamic cosmological simulations. The method, while approximate, allows for a self-consistent treatment of self-shielding and shadowing, diffuse and point sources of radiation, and frequency dependent transfer. Applications include photodissociation, photoheating, and photoionization of the IGM.

  18. Enabling immersive simulation.

    SciTech Connect (OSTI)

    McCoy, Josh (University of California Santa Cruz, Santa Cruz, CA); Mateas, Michael (University of California Santa Cruz, Santa Cruz, CA); Hart, Derek H.; Whetzel, Jonathan; Basilico, Justin Derrick; Glickman, Matthew R.; Abbott, Robert G.

    2009-02-01T23:59:59.000Z

    The object of the 'Enabling Immersive Simulation for Complex Systems Analysis and Training' LDRD has been to research, design, and engineer a capability to develop simulations which (1) provide a rich, immersive interface for participation by real humans (exploiting existing high-performance game-engine technology wherever possible), and (2) can leverage Sandia's substantial investment in high-fidelity physical and cognitive models implemented in the Umbra simulation framework. We report here on these efforts. First, we describe the integration of Sandia's Umbra modular simulation framework with the open-source Delta3D game engine. Next, we report on Umbra's integration with Sandia's Cognitive Foundry, specifically to provide for learning behaviors for 'virtual teammates' directly from observed human behavior. Finally, we describe the integration of Delta3D with the ABL behavior engine, and report on research into establishing the theoretical framework that will be required to make use of tools like ABL to scale up to increasingly rich and realistic virtual characters.

  19. SIMULATING EVOLUTION OF TECHNOLOGY

    E-Print Network [OSTI]

    that simulates turnover of equipment stock as a function of detailed data on equipment costs and stock in (1) technology stocks, (2) products or services, or (3) the mix of fuels used. This thesis involves ability to pick out the right road to take (in most ca

  20. TROPICAL STORMS SUPER SIMULATIONS

    E-Print Network [OSTI]

    Fukai, Tomoki

    physical sciences 15 A new flavor of superconductor Computer simulations show how fundamental particles behave like electrons in a superconductor 16 Higgs versus the Big Bang The Higgs boson could help explain The magnetic interactions in beryllium-11 could explain its unusual shape 19 A solitary superconductor emerges

  1. Statistical Model Computation with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

    , USA Abstract--Statistical models are generally computed outside a DBMS due to their mathematical complexity. We introduce techniques to efficiently compute fundamental statistical models inside a DBMS of primitive scalar UDFs to score data sets. Experiments compare UDFs and SQL queries (running inside the DBMS

  2. Modeling Computations in a Semantic Network

    E-Print Network [OSTI]

    Marko A. Rodriguez; Johan Bollen

    2007-05-31T23:59:59.000Z

    Semantic network research has seen a resurgence from its early history in the cognitive sciences with the inception of the Semantic Web initiative. The Semantic Web effort has brought forth an array of technologies that support the encoding, storage, and querying of the semantic network data structure at the world stage. Currently, the popular conception of the Semantic Web is that of a data modeling medium where real and conceptual entities are related in semantically meaningful ways. However, new models have emerged that explicitly encode procedural information within the semantic network substrate. With these new technologies, the Semantic Web has evolved from a data modeling medium to a computational medium. This article provides a classification of existing computational modeling efforts and the requirements of supporting technologies that will aid in the further growth of this burgeoning domain.

  3. Countable Models, Computability, and Enumerations, Valentina Harizanov

    E-Print Network [OSTI]

    Harizanov, Valentina S.

    . · A Scott family for A is a set of formulas, with a fixed finite tuple of parameters c in A, such that each diagram of A, D(A). A is computable (recursive) if its Turing degree is 0. · D(A) may be of much lower Turing degree than Th(A). N, the standard model of arithmetic, is computable. True Arithmetic, TA = Th

  4. A. Weitzenfeld: NSL Neural Simulation Language 1 Neural Simulation Language

    E-Print Network [OSTI]

    Weitzenfeld, Alfredo

    : +52-55-56284060 Fax: +52-55-56162211 email: alfredo@itam.mx #12;A. Weitzenfeld: NSL Neural Simulation

  5. PEBBLES Mechanics Simulation Speedup

    SciTech Connect (OSTI)

    Joshua J. Cogliati; Abderrafi M. Ougouag

    2010-05-01T23:59:59.000Z

    Pebble bed reactors contain large numbers of spherical fuel elements arranged randomly. Determining the motion and location of these fuel elements is required for calculating certain parameters of pebble bed reactor operation. These simulations involve hundreds of thousands of pebbles and involve determining the entire core motion as pebbles are recirculated. Single processor algorithms for this are insufficient since they would take decades to centuries of wall-clock time. This paper describes the process of parallelizing and speeding up the PEBBLES pebble mechanics simulation code. Both shared memory programming with the Open Multi-Processing API and distributed memory programming with the Message Passing Interface API are used in simultaneously in this process. A new shared memory lock-less linear time collision detection algorithm is described. This method allows faster detection of pebbles in contact than generic methods. These combine to make full recirculations on AVR sized reactors possible in months of wall clock time.

  6. The Umbra Simulation Framework

    SciTech Connect (OSTI)

    GOTTLIEB,ERIC; HARRIGAN,RAYMOND W.; MCDONALD,MICHAEL J.; OPPEL III,FRED J.; XAVIER,PATRICK G.

    2001-06-01T23:59:59.000Z

    Umbra is a new Sandia-developed modeling and simulation framework. The Umbra framework allows users to quickly build models and simulations for intelligent system development, analysis, experimentation, and control and supports tradeoff analyses of complex robotic systems, device, and component concepts. Umbra links together heterogeneous collections of modeling tools. The models in Umbra include 3D geometry and physics models of robots, devices and their environments. Model components can be built with varying levels of fidelity and readily switched to allow models built with low fidelity for conceptual analysis to be gradually converted to high fidelity models for later phase detailed analysis. Within control environments, the models can be readily replaced with actual control elements. This paper describes Umbra at a functional level and describes issues that Sandia uses Umbra to address.

  7. Simulating Concordant Computations

    E-Print Network [OSTI]

    Bryan Eastin

    2010-06-23T23:59:59.000Z

    A quantum state is called concordant if it has zero quantum discord with respect to any part. By extension, a concordant computation is one such that the state of the computer, at each time step, is concordant. In this paper, I describe a classical algorithm that, given a product state as input, permits the efficient simulation of any concordant quantum computation having a conventional form and composed of gates acting on two or fewer qubits. This shows that such a quantum computation must generate quantum discord if it is to efficiently solve a problem that requires super-polynomial time classically. While I employ the restriction to two-qubit gates sparingly, a crucial component of the simulation algorithm appears not to be extensible to gates acting on higher-dimensional systems.

  8. Design of mechanical arterial simulator

    E-Print Network [OSTI]

    Chai, Lauren (Lauren Amy)

    2012-01-01T23:59:59.000Z

    A force controlled ultrasound probe is being explored as a new method of measuring blood pressure. An arterial simulator was designed and built for experiments. For this simulator, the vessels and bulk material were designed ...

  9. Simulation des Frsens mit Industrierobotern

    E-Print Network [OSTI]

    Stryk, Oskar von

    Parameteridentifikation Simulation of milling with industrial robots: trajectory planning and experimental parameter experimentelle Parameteridentifikation Simulation of milling with industrial robots: trajectory planning Bauteile erweitert. Abstract Recently, industrial robots are increasingly used for cutting soft material

  10. Simulation of Sextet Diquark Production

    E-Print Network [OSTI]

    Peter Richardson; David Winn

    2011-11-22T23:59:59.000Z

    We present a method for simulating the production and decay of particles in the sextet representation of $SU(3)_C$ including the simulation of QCD radiation. First results from the Monte Carlo simulation of sextet diquark production at the LHC including both resonant and pair production are presented. We include limits on resonant diquark production from recent ATLAS results and perform the first simulation studies of the less model dependent pair production mechanism.

  11. Bio-threat microparticle simulants

    DOE Patents [OSTI]

    Farquar, George Roy; Leif, Roald

    2014-09-16T23:59:59.000Z

    A bio-threat simulant that includes a carrier and DNA encapsulated in the carrier. Also a method of making a simulant including the steps of providing a carrier and encapsulating DNA in the carrier to produce the bio-threat simulant.

  12. Bio-threat microparticle simulants

    DOE Patents [OSTI]

    Farquar, George Roy; Leif, Roald N

    2012-10-23T23:59:59.000Z

    A bio-threat simulant that includes a carrier and DNA encapsulated in the carrier. Also a method of making a simulant including the steps of providing a carrier and encapsulating DNA in the carrier to produce the bio-threat simulant.

  13. Computer Simulations of Protein Folding

    E-Print Network [OSTI]

    Sorin, Eric J.

    CHAPTER 8 Computer Simulations of Protein Folding VIJAY S. PANDE , ERIC J. SORIN , CHRISTOPHER D, CA 94305, USA 8.1 Introduction: Goals and Challenges of Simulating Protein Folding Computer as well as recent applications of this methodology. 8.1.1 Simulating Protein Folding Proteins play

  14. Plasma Simulation Program

    SciTech Connect (OSTI)

    Greenwald, Martin

    2011-10-04T23:59:59.000Z

    Many others in the fusion energy and advanced scientific computing communities participated in the development of this plan. The core planning team is grateful for their important contributions. This summary is meant as a quick overview the Fusion Simulation Program's (FSP's) purpose and intentions. There are several additional documents referenced within this one and all are supplemental or flow down from this Program Plan. The overall science goal of the DOE Office of Fusion Energy Sciences (FES) Fusion Simulation Program (FSP) is to develop predictive simulation capability for magnetically confined fusion plasmas at an unprecedented level of integration and fidelity. This will directly support and enable effective U.S. participation in International Thermonuclear Experimental Reactor (ITER) research and the overall mission of delivering practical fusion energy. The FSP will address a rich set of scientific issues together with experimental programs, producing validated integrated physics results. This is very well aligned with the mission of the ITER Organization to coordinate with its members the integrated modeling and control of fusion plasmas, including benchmarking and validation activities. [1]. Initial FSP research will focus on two critical Integrated Science Application (ISA) areas: ISA1, the plasma edge; and ISA2, whole device modeling (WDM) including disruption avoidance. The first of these problems involves the narrow plasma boundary layer and its complex interactions with the plasma core and the surrounding material wall. The second requires development of a computationally tractable, but comprehensive model that describes all equilibrium and dynamic processes at a sufficient level of detail to provide useful prediction of the temporal evolution of fusion plasma experiments. The initial driver for the whole device model will be prediction and avoidance of discharge-terminating disruptions, especially at high performance, which are a critical impediment to successful operation of machines like ITER. If disruptions prove unable to be avoided, their associated dynamics and effects will be addressed in the next phase of the FSP.

  15. Fusion Simulation Program

    SciTech Connect (OSTI)

    Project Staff (V.S. Chan)

    2012-02-29T23:59:59.000Z

    Under this project, General Atomics (GA) was tasked to develop the experimental validation plans for two high priority ISAs, Boundary and Pedestal and Whole Device Modeling in collaboration with the theory, simulation and experimental communities. The following sections have been incorporated into the final FSP Program Plan (www.pppl.gov/fsp), which was delivered to the US Department of Energy (DOE). Additional deliverables by GA include guidance for validation, development of metrics to evaluate success and procedures for collaboration with experiments. These are also part of the final report.

  16. Simulation-Based Engineering

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund3 Outlook for Gulf ofMailingSimulation-Based

  17. Modeling & Simulation publications

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst HirstModeling & Simulation »

  18. Laparoscopic simulation interface

    DOE Patents [OSTI]

    Rosenberg, Louis B.

    2006-04-04T23:59:59.000Z

    A method and apparatus for providing high bandwidth and low noise mechanical input and output for computer systems. A gimbal mechanism provides two revolute degrees of freedom to an object about two axes of rotation. A linear axis member is coupled to the gimbal mechanism at the intersection of the two axes of rotation. The linear axis member is capable of being translated along a third axis to provide a third degree of freedom. The user object is coupled to the linear axis member and is thus translatable along the third axis so that the object can be moved along all three degrees of freedom. Transducers associated with the provided degrees of freedom include sensors and actuators and provide an electromechanical interface between the object and a digital processing system. Capstan drive mechanisms transmit forces between the transducers and the object. The linear axis member can also be rotated about its lengthwise axis to provide a fourth degree of freedom, and, optionally, a floating gimbal mechanism is coupled to the linear axis member to provide fifth and sixth degrees of freedom to an object. Transducer sensors are associated with the fourth, fifth, and sixth degrees of freedom. The interface is well suited for simulations of medical procedures and simulations in which an object such as a stylus or a joystick is moved and manipulated by the user.

  19. FPGA Acceleration of Discrete Molecular Dynamics Simulation

    E-Print Network [OSTI]

    Herbordt, Martin

    ' & $ % FPGA Acceleration of Discrete Molecular Dynamics Simulation Joshua Model Thesis submitted UNIVERSITY COLLEGE OF ENGINEERING Thesis FPGA Acceleration of Discrete Molecular Dynamics Simulation Acceleration of Discrete Molecular Dynamics Simulation Joshua Model ABSTRACT Molecular dynamics simulation

  20. Bluff Body Flow Simulation Using a Vortex Element Method

    SciTech Connect (OSTI)

    Anthony Leonard; Phillippe Chatelain; Michael Rebel

    2004-09-30T23:59:59.000Z

    Heavy ground vehicles, especially those involved in long-haul freight transportation, consume a significant part of our nation's energy supply. it is therefore of utmost importance to improve their efficiency, both to reduce emissions and to decrease reliance on imported oil. At highway speeds, more than half of the power consumed by a typical semi truck goes into overcoming aerodynamic drag, a fraction which increases with speed and crosswind. Thanks to better tools and increased awareness, recent years have seen substantial aerodynamic improvements by the truck industry, such as tractor/trailer height matching, radiator area reduction, and swept fairings. However, there remains substantial room for improvement as understanding of turbulent fluid dynamics grows. The group's research effort focused on vortex particle methods, a novel approach for computational fluid dynamics (CFD). Where common CFD methods solve or model the Navier-Stokes equations on a grid which stretches from the truck surface outward, vortex particle methods solve the vorticity equation on a Lagrangian basis of smooth particles and do not require a grid. They worked to advance the state of the art in vortex particle methods, improving their ability to handle the complicated, high Reynolds number flow around heavy vehicles. Specific challenges that they have addressed include finding strategies to accurate capture vorticity generation and resultant forces at the truck wall, handling the aerodynamics of spinning bodies such as tires, application of the method to the GTS model, computation time reduction through improved integration methods, a closest point transform for particle method in complex geometrics, and work on large eddy simulation (LES) turbulence modeling.

  1. Distributed Energy Technology Simulator: Microturbine Demonstration...

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

    Simulator: Microturbine Demonstration, October 2001 Distributed Energy Technology Simulator: Microturbine Demonstration, October 2001 This 2001 paper discusses the National Rural...

  2. Supergranulation Scale Connection Simulations

    E-Print Network [OSTI]

    R. F. Stein; A. Nordlund; D. Georgobiani; D. Benson; W. Schaffenberger

    2008-11-04T23:59:59.000Z

    Results of realistic simulations of solar surface convection on the scale of supergranules (96 Mm wide by 20 Mm deep) are presented. The simulations cover only 10% of the geometric depth of the solar convection zone, but half its pressure scale heights. They include the hydrogen, first and most of the second helium ionization zones. The horizontal velocity spectrum is a power law and the horizontal size of the dominant convective cells increases with increasing depth. Convection is driven by buoyancy work which is largest close to the surface, but significant over the entire domain. Close to the surface buoyancy driving is balanced by the divergence of the kinetic energy flux, but deeper down it is balanced by dissipation. The damping length of the turbulent kinetic energy is 4 pressure scale heights. The mass mixing length is 1.8 scale heights. Two thirds of the area is upflowing fluid except very close to the surface. The internal (ionization) energy flux is the largest contributor to the convective flux for temperatures less than 40,000 K and the thermal energy flux is the largest contributor at higher temperatures. This data set is useful for validating local helioseismic inversion methods. Sixteen hours of data are available as four hour averages, with two hour cadence, at steinr.msu.edu/~bob/96averages, as idl save files. The variables stored are the density, temperature, sound speed, and three velocity components. In addition, the three velocity components at 200 km above mean continuum optical depth unity are available at 30 sec. cadence.

  3. Non-detonable explosive simulators

    DOE Patents [OSTI]

    Simpson, Randall L. (Livermore, CA); Pruneda, Cesar O. (Livermore, CA)

    1994-01-01T23:59:59.000Z

    A simulator which is chemically equivalent to an explosive, but is not detonable. The simulator has particular use in the training of explosives detecting dogs and calibrating sensitive analytical instruments. The explosive simulants may be fabricated by different techniques, a first involves the use of standard slurry coatings to produce a material with a very high binder to explosive ratio without masking the explosive vapor, and the second involves coating inert beads with thin layers of explosive molecules.

  4. Non-detonable explosive simulators

    DOE Patents [OSTI]

    Simpson, R.L.; Pruneda, C.O.

    1994-11-01T23:59:59.000Z

    A simulator which is chemically equivalent to an explosive, but is not detonable. The simulator has particular use in the training of explosives detecting dogs and calibrating sensitive analytical instruments. The explosive simulants may be fabricated by different techniques, a first involves the use of standard slurry coatings to produce a material with a very high binder to explosive ratio without masking the explosive vapor, and the second involves coating inert beads with thin layers of explosive molecules. 5 figs.

  5. Power Plant Modeling and Simulation

    ScienceCinema (OSTI)

    None

    2010-01-08T23:59:59.000Z

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  6. Occupancy Simulation Schedule Appendix C -Occupancy Simulation Schedule

    E-Print Network [OSTI]

    Figure C.1 and Figure C.2 present the load simulation and occupancy schedules for the lab homes highly adults. The per-person sensible heat generation and occupancy profiles were mapped from previous studies lamp to simulate human occupancy; occupancy and lighting loads in other areas of the home were

  7. Agent-based Simulation Platforms Agent-based Simulation Platforms

    E-Print Network [OSTI]

    Boone, Randall B.

    Agent-based Simulation Platforms Agent-based Simulation Platforms: Review and Development 1081 Fritz Ave. McKinleyville, CA 95519, USA Five software platforms for scientific agent-based models (ABMs) were reviewed by implementing example models in each. NetLogo is the highest-level platform

  8. The Dynamics of Sinking Satellites Around Disk Galaxies: A Poor Man's Alternative to High-Resolution Numerical Simulations

    E-Print Network [OSTI]

    J. E. Taylor; Arif Babul

    2000-12-14T23:59:59.000Z

    We have developed a simple yet surprisingly accurate analytic scheme for tracking the dynamical evolution of substructure within larger dark halos. The scheme incorporates the effects of dynamical friction, tidal mass loss and tidal heating via physically motivated approximations. Using our scheme, we can predict the orbital evolution and mass-loss history of individual subhalos in detail. We are also able to determine the impact and importance of the different physical processes on the dynamical evolution of the subhalos. To test and calibrate this model, we compare it with a set of recent high-resolution numerical simulations of mergers between galaxies and small companions. We find that we can reproduce the orbits and mass-loss rates seen in all of these simulations with considerable accuracy, using a single set of values for the three free parameters in our model. Computationally, our scheme is more than 1000 times faster than the simplest of the high-resolution numerical simulations. This means that we can carry out detailed and statistically meaningful investigations into the characteristics of the subhalo population in different cosmologies, the stripping and disruption of the subhalos, and the interactions of the subhalos with other dynamical structures such as a thin disk. This last point is of particular interest given the ubiquity of minor mergers in hierarchical models. In this regard, our method's simplicity and speed makes it particularly attractive for incorporation into semi-analytic models of galaxy formation.

  9. Annual Logging Symposium, June 3-6, 2007 COMBINED SIMULATION AND INVERSION OF SP AND RESISTIVITY

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

    2007, held jointly by the Society of Petrophysicists and Well Log Analysts (SPWLA) and the submitting method to two data sets acquired in clastic formations. One data set corresponds to a high allows us to apply the physics of mud-filtrate invasion to estimate permeability. By progressively

  10. Thyristor converter simulation and analysis

    SciTech Connect (OSTI)

    Zhang, S.Y.

    1991-01-01T23:59:59.000Z

    In this paper we present a simulation on thyristor converters. The simulation features nonlinearity, non-uniform firing, and the commutations. Several applications such as a current regulation, a converter frequency characteristics analysis, and a power line disturbance analysis will be presented. 4 refs., 4 figs.

  11. CONSTRUCTING VIRTUAL HUMAN LIFE SIMULATIONS

    E-Print Network [OSTI]

    Kallmann, Marcelo

    , Virtual Environments, Behavioral Animation, Object Interaction, Python. 1. INTRODUCTION Virtual humanCONSTRUCTING VIRTUAL HUMAN LIFE SIMULATIONS Marcelo Kallmann, Etienne de Sevin and Daniel Thalmann human life simulations. Our main goal is to have virtual human actors living and working autonomously

  12. GROUNDWATER REMEDIATION DESIGN USING SIMULATED

    E-Print Network [OSTI]

    Mays, Larry W.

    CHAPTER 8 GROUNDWATER REMEDIATION DESIGN USING SIMULATED ANNEALING Richard L. Skaggs Pacific? There has been an emergence in the use of combinatorial methods such as simulated annealing in groundwater for groundwater management applications. The algorithm incor- porates "directional search" and "memory

  13. Simulation of open quantum systems

    E-Print Network [OSTI]

    Florian Mintert; Eric J. Heller

    2008-03-27T23:59:59.000Z

    We present an approach for the semiclassical treatment of open quantum systems. An expansion into localized states allows restriction of a simulation to a fraction of the environment that is located within a predefined vicinity of the system. Adding and dropping environmental particles during the simulation yields an effective reduction of the size of the system that is being treated.

  14. MESOSCALE SIMULATIONS OF POWDER COMPACTION

    SciTech Connect (OSTI)

    Lomov, Ilya; Fujino, Don; Antoun, Tarabay; Liu, Benjamin [Lawrence Livermore National Laboratory, P. O. Box 808, Livermore CA 94551 (United States)

    2009-12-28T23:59:59.000Z

    Mesoscale 3D simulations of shock compaction of metal and ceramic powders have been performed with an Eulerian hydrocode GEODYN. The approach was validated by simulating a well-characterized shock compaction experiment of a porous ductile metal. Simulation results using the Steinberg material model and handbook values for solid 2024 aluminum showed good agreement with experimental compaction curves and wave profiles. Brittle ceramic materials are not as well studied as metals, so a simple material model for solid ceramic (tungsten carbide) has been calibrated to match experimental compaction curves. Direct simulations of gas gun experiments with ceramic powders have been performed and showed good agreement with experimental data. The numerical shock wave profile has same character and thickness as that measured experimentally using VISAR. The numerical results show reshock states above the single-shock Hugoniot line as observed in experiments. We found that for good quantitative agreement with experiments 3D simulations are essential.

  15. Simulation of a plant minicomputer in reactor control room simulator

    SciTech Connect (OSTI)

    Forrester, A.; Anderson, J.L.

    1984-12-07T23:59:59.000Z

    A control room simulator for the N-Reactor at Hanford is being developed. An important aspect of reactor operation is provided by the plant minicomputer. This paper discusses the simulation of the plant minicomputer. The original commitments in developing the model are set out, as well as the actual requirements at the start of implementation of the model. Original estimates of costs and times for the simulation are presented; actual costs and times were lower by large factors, and the reasons for better performance are examined.

  16. Calibration of Moving Puncture Simulations

    E-Print Network [OSTI]

    Bernd Bruegmann; Jose A. Gonzalez; Mark Hannam; Sascha Husa; Ulrich Sperhake; Wolfgang Tichy

    2006-10-26T23:59:59.000Z

    We present single and binary black hole simulations that follow the moving puncture paradigm of simulating black-hole spacetimes without excision, and use moving boxes mesh refinement. Focussing on binary black hole configurations where the simulations cover roughly two orbits, we address five major issues determining the quality of our results: numerical discretization error, finite extraction radius of the radiation signal, physical appropriateness of initial data, gauge choice and computational performance. We also compare results we have obtained with the BAM code described here with the independent LEAN code.

  17. The Xygra gun simulation tool.

    SciTech Connect (OSTI)

    Garasi, Christopher Joseph; Lamppa, Derek C.; Aubuchon, Matthew S.; Shirley, David Noyes; Robinson, Allen Conrad; Russo, Thomas V.

    2008-12-01T23:59:59.000Z

    Inductive electromagnetic launchers, or coilguns, use discrete solenoidal coils to accelerate a coaxial conductive armature. To date, Sandia has been using an internally developed code, SLINGSHOT, as a point-mass lumped circuit element simulation tool for modeling coilgun behavior for design and verification purposes. This code has shortcomings in terms of accurately modeling gun performance under stressful electromagnetic propulsion environments. To correct for these limitations, it was decided to attempt to closely couple two Sandia simulation codes, Xyce and ALEGRA, to develop a more rigorous simulation capability for demanding launch applications. This report summarizes the modifications made to each respective code and the path forward to completing interfacing between them.

  18. Numerical wind speed simulation model

    SciTech Connect (OSTI)

    Ramsdell, J.V.; Athey, G.F.; Ballinger, M.Y.

    1981-09-01T23:59:59.000Z

    A relatively simple stochastic model for simulating wind speed time series that can be used as an alternative to time series from representative locations is described in this report. The model incorporates systematic seasonal variation of the mean wind, its standard deviation, and the correlation speeds. It also incorporates systematic diurnal variation of the mean speed and standard deviation. To demonstrate the model capabilities, simulations were made using model parameters derived from data collected at the Hanford Meteorology Station, and results of analysis of simulated and actual data were compared.

  19. Finding Hidden Geothermal Resources In The Basin And Range Using...

    Open Energy Info (EERE)

    Magnetotellurics At Walker-Lane Transitional Zone Region (Pritchett, 2004) Modeling-Computer Simulations At Central Nevada Seismic Zone Region (Pritchett, 2004) Modeling-Computer...

  20. FPGA ACCELERATION OF MOLECULAR DYNAMICS SIMULATIONS

    E-Print Network [OSTI]

    Herbordt, Martin

    ' & $ % FPGA ACCELERATION OF MOLECULAR DYNAMICS SIMULATIONS YONGFENG GU Dissertation submitted;BOSTON UNIVERSITY COLLEGE OF ENGINEERING Dissertation FPGA ACCELERATION OF MOLECULAR DYNAMICS SIMULATIONS DYNAMICS SIMULATIONS (Order No. ) YONGFENG GU Boston University, College of Engineering, 2008 Major

  1. Adaptive Sampling in Hierarchical Simulation

    SciTech Connect (OSTI)

    Knap, J; Barton, N R; Hornung, R D; Arsenlis, A; Becker, R; Jefferson, D R

    2007-07-09T23:59:59.000Z

    We propose an adaptive sampling methodology for hierarchical multi-scale simulation. The method utilizes a moving kriging interpolation to significantly reduce the number of evaluations of finer-scale response functions to provide essential constitutive information to a coarser-scale simulation model. The underlying interpolation scheme is unstructured and adaptive to handle the transient nature of a simulation. To handle the dynamic construction and searching of a potentially large set of finer-scale response data, we employ a dynamic metric tree database. We study the performance of our adaptive sampling methodology for a two-level multi-scale model involving a coarse-scale finite element simulation and a finer-scale crystal plasticity based constitutive law.

  2. Cowgame: animal breeding simulation software

    E-Print Network [OSTI]

    Kleibrink, Kevin Michael

    1997-01-01T23:59:59.000Z

    ) to calculate Expected Progeny Differences (EPDS) and accuracies so that the analysis is completely independent of simulation. Output of phenotypes, EPDS, accuracies, and progeny averages are available for each animal in the population and are reported to each...

  3. Reservoir management using streamline simulation

    E-Print Network [OSTI]

    Choudhary, Manoj Kumar

    2000-01-01T23:59:59.000Z

    of information and sparsity of data. Quantifying this uncertainty in terms of reservoir performance forecast poses a major reservoir management challenge. One solution to this problem is flow simulation of a large number of these plausible reservoir descriptions...

  4. DYNAMIC SIMULATION OF PERFORMANCE DEVELOPMENT

    E-Print Network [OSTI]

    Perl, Jürgen

    for scheduling optimal training planes. (a) offline analysis (b) online prediction load profile original) online prediction load profile original performance profile simulated performance profile predicted performance profile Figure 1: Offline load-performance-analysis (a) compared to online performance

  5. Computer simulation of submarine motion

    E-Print Network [OSTI]

    Zurflueh, Jeffery Alan

    1991-01-01T23:59:59.000Z

    Subject: Mechanical Engineering COMPUTER SIMULATION OF SUBMARINE MOTION A Thesis by JEFFERY ALAN ZURFLUEH Approved as to style and content by: Make McDermott, Jr. ( Chair of Committee ) Glen Williams ( Member ) Lo 4verett ( Member ) gu r Walter...COMPUTER SIMULATION OF SUBMARINE MOTION A Thesis by JEFFERY ALAN ZURFLUEH Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1991 Major...

  6. Physically based simulation of explosions

    E-Print Network [OSTI]

    Roach, Matthew Douglas

    2005-08-29T23:59:59.000Z

    PHYSICALLY BASED SIMULATION OF EXPLOSIONS A Thesis by MATTHEW DOUGLAS ROACH Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE May 2005 Major Subject: Visualization Sciences PHYSICALLY BASED SIMULATION OF EXPLOSIONS A Thesis by MATTHEW DOUGLAS ROACH Submitted to Texas A&M University in partial fulfillment of the requirements for the degree...

  7. Terascale Simulation Tools and Technologies

    SciTech Connect (OSTI)

    Li, Xiaolin

    2007-03-09T23:59:59.000Z

    We report the development of front tracking method as a simulation tool and technology for the computation on several important SciDAC and SciDAC associated applications. The progress includes the extraction of an independent software library from the front tracking code, conservative front tracking, applications of front tracking to the simulation of fusion pellet injection in a magnetically confined plasma, the study of a fuel injection jet, and the study of fluid chaotic mixing, among other problems.

  8. Sandia National Laboratories: modeling and simulation

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

    and simulation Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling &...

  9. House Simulation Protocols (Building America Benchmark) - Building...

    Energy Savers [EERE]

    House Simulation Protocols. See an example of this Top Innovation in action. Find more case studies of Building America projects across the country that utilize House Simulation...

  10. Sandia National Laboratories: CINT Computer Simulation Guide...

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

    ClimateECEnergyRenewable EnergyBiofuelsCINT Computer Simulation Guide for Designing Polymeric Nanoparticles Published CINT Computer Simulation Guide for Designing Polymeric...

  11. Sandia Energy - Simulating Turbine-Turbine Interaction

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

    of wind-turbine wakes within a turbulent atmospheric boundary layer using a large eddy simulation (LES) method. Current and ongoing work aims to leverage the simulation...

  12. Sandia National Laboratories: Predictive Simulation of Internal...

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

    Predictive Simulation of Internal Combustion Engines Sandia and General Motors: Advancing Clean Combustion Engines with Predictive Simulation Tools On February 14, 2013, in CRF,...

  13. Improved Solvers for Advanced Engine Combustion Simulation |...

    Broader source: Energy.gov (indexed) [DOE]

    Improved Solvers for Advanced Engine Combustion Simulation Improved Solvers for Advanced Engine Combustion Simulation 2013 DOE Hydrogen and Fuel Cells Program and Vehicle...

  14. Clot Busting Simulations Test Potential Stroke Treatment

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

    Clot Busting Simulations Test Potential Stroke Treatment Clot Busting Simulations Test Potential Stroke Treatment September 24, 2013 | Tags: Biological and Environmental Research...

  15. MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUS

    E-Print Network [OSTI]

    Basarkar, Mangesh

    2013-01-01T23:59:59.000Z

    LBNL-XXXXX MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUSof California. MAPPING HVAC SYSTEMS FOR SIMULATION INpresent a conventional view of HVAC systems to the user, and

  16. Zero Power Reactor simulation | Argonne National Laboratory

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

    Zero Power Reactor simulation Share Description Ever wanted to see a nuclear reactor core in action? Here's a detailed simulation of the Zero Power Reactor experiment, run by...

  17. Nuclear Systems Modeling & Simulation | More Science | ORNL

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

    Systems Modeling and Simulation SHARE Nuclear Systems Modeling and Simulation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion model for the...

  18. Nuclear Systems Modeling, Simulation & Validation | ORNL

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

    Systems Modeling and Simulation SHARE Nuclear Systems Modeling, Simulation and Validation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion...

  19. The effect of urban canopy parameterizations on mesoscale meteorological model simulations in the Paso del Norte area

    SciTech Connect (OSTI)

    Brown, M.J.; Williams, M.D.

    1997-04-01T23:59:59.000Z

    Since mesoscale numerical models do not have the spatial resolution to directly simulate the fluid dynamics and thermodynamics in and around urban structures, urban canopy parameterizations are sometimes used to approximate the drag, heating, and enhanced turbulent kinetic energy (tke) produced by the sub-grid scale urban elements. In this paper, we investigate the effect of the urban canopy parameterizations used in the HOTMAC mesoscale meteorological model by turning the parameterizations on and off. The model simulations were performed in the Paso del Norte region, which includes the cities of El Paso and Ciudad Juarez, the Franklin and Sierra Juarez mountains, and the Rio Grande. The metropolitan area is surrounded by relatively barren scrubland and is intersected by strips of vegetation along the Rio Grande. Results indicate that the urban canopy parameterizations do affect the mesoscale flow field, reducing the magnitude of wind speed and changing the magnitude of the sensible heat flux and tke in the metropolitan area. A nighttime heat island and a daytime cool island exist when urban canopy parameters are turned on, but associated recirculation flows are not readily apparent. Model-computed solar, net, and longwave radiation values look reasonable, agreeing for the most part with published measurements.

  20. LFSC - Linac Feedback Simulation Code

    SciTech Connect (OSTI)

    Ivanov, Valentin; /Fermilab

    2008-05-01T23:59:59.000Z

    The computer program LFSC (Simulation Code>) is a numerical tool for simulation beam based feedback in high performance linacs. The code LFSC is based on the earlier version developed by a collective of authors at SLAC (L.Hendrickson, R. McEwen, T. Himel, H. Shoaee, S. Shah, P. Emma, P. Schultz) during 1990-2005. That code was successively used in simulation of SLC, TESLA, CLIC and NLC projects. It can simulate as pulse-to-pulse feedback on timescale corresponding to 5-100 Hz, as slower feedbacks, operating in the 0.1-1 Hz range in the Main Linac and Beam Delivery System. The code LFSC is running under Matlab for MS Windows operating system. It contains about 30,000 lines of source code in more than 260 subroutines. The code uses the LIAR ('Linear Accelerator Research code') for particle tracking under ground motion and technical noise perturbations. It uses the Guinea Pig code to simulate the luminosity performance. A set of input files includes the lattice description (XSIF format), and plane text files with numerical parameters, wake fields, ground motion data etc. The Matlab environment provides a flexible system for graphical output.

  1. Mesoscale Simulations of Power Compaction

    SciTech Connect (OSTI)

    Lomov, I; Fujino, D; Antoun, T; Liu, B

    2009-08-06T23:59:59.000Z

    Mesoscale 3D simulations of metal and ceramic powder compaction in shock waves have been performed with an Eulerian hydrocode GEODYN. The approach was validated by simulating shock compaction of porous well-characterized ductile metal using Steinberg material model. Results of the simulations with handbook values for parameters of solid 2024 aluminum have good agreement with experimental compaction curves and wave profiles. Brittle ceramic materials are not so well studied as metals, so material model for ceramic (tungsten carbide) has been fitted to shock compression experiments of non-porous samples and further calibrated to match experimental compaction curves. Direct simulations of gas gun experiments with ceramic powder have been performed and showed good agreement with experimental data. Numerical shock wave profile has same character and thickness as measured with VISAR. Numerical results show reshock states above the single-shock Hugoniot line also observed in experiments. They found that to receive good quantitative agreement with experiment it is essential to perform 3D simulations.

  2. Radiation in molecular dynamic simulations

    SciTech Connect (OSTI)

    Glosli, J; Graziani, F; More, R; Murillo, M; Streitz, F; Surh, M

    2008-10-13T23:59:59.000Z

    Hot dense radiative (HDR) plasmas common to Inertial Confinement Fusion (ICF) and stellar interiors have high temperature (a few hundred eV to tens of keV), high density (tens to hundreds of g/cc) and high pressure (hundreds of Megabars to thousands of Gigabars). Typically, such plasmas undergo collisional, radiative, atomic and possibly thermonuclear processes. In order to describe HDR plasmas, computational physicists in ICF and astrophysics use atomic-scale microphysical models implemented in various simulation codes. Experimental validation of the models used to describe HDR plasmas are difficult to perform. Direct Numerical Simulation (DNS) of the many-body interactions of plasmas is a promising approach to model validation but, previous work either relies on the collisionless approximation or ignores radiation. We present a new numerical simulation technique to address a currently unsolved problem: the extension of molecular dynamics to collisional plasmas including emission and absorption of radiation. The new technique passes a key test: it relaxes to a blackbody spectrum for a plasma in local thermodynamic equilibrium. This new tool also provides a method for assessing the accuracy of energy and momentum exchange models in hot dense plasmas. As an example, we simulate the evolution of non-equilibrium electron, ion, and radiation temperatures for a hydrogen plasma using the new molecular dynamics simulation capability.

  3. Infrastructure for distributed enterprise simulation

    SciTech Connect (OSTI)

    Johnson, M.M.; Yoshimura, A.S.; Goldsby, M.E. [and others

    1998-01-01T23:59:59.000Z

    Traditional discrete-event simulations employ an inherently sequential algorithm and are run on a single computer. However, the demands of many real-world problems exceed the capabilities of sequential simulation systems. Often the capacity of a computer`s primary memory limits the size of the models that can be handled, and in some cases parallel execution on multiple processors could significantly reduce the simulation time. This paper describes the development of an Infrastructure for Distributed Enterprise Simulation (IDES) - a large-scale portable parallel simulation framework developed to support Sandia National Laboratories` mission in stockpile stewardship. IDES is based on the Breathing-Time-Buckets synchronization protocol, and maps a message-based model of distributed computing onto an object-oriented programming model. IDES is portable across heterogeneous computing architectures, including single-processor systems, networks of workstations and multi-processor computers with shared or distributed memory. The system provides a simple and sufficient application programming interface that can be used by scientists to quickly model large-scale, complex enterprise systems. In the background and without involving the user, IDES is capable of making dynamic use of idle processing power available throughout the enterprise network. 16 refs., 14 figs.

  4. ATLAS Fast Tracker Simulation Challenges

    E-Print Network [OSTI]

    Adelman, Jahred; The ATLAS collaboration; Borodin, Mikhail; Chakraborty, Dhiman; García Navarro, José Enrique; Golubkov, Dmitry; Kama, Sami; Panitkin, Sergey; Smirnov, Yuri; Stewart, Graeme; Tompkins, Lauren; Vaniachine, Alexandre; Volpi, Guido

    2015-01-01T23:59:59.000Z

    To deal with Big Data flood from the ATLAS detector most events have to be rejected in the trigger system. the trigger rejection is complicated by the presence of a large number of minimum-bias events – the pileup. To limit pileup effects in the high luminosity environment of the LHC Run-2, ATLAS relies on full tracking provided by the Fast TracKer (FTK) implemented with custom electronics. The FTK data processing pipeline has to be simulated in preparation for LHC upgrades to support electronics design and develop trigger strategies at high luminosity. The simulation of the FTK - a highly parallelized system - has inherent performance bottlenecks on general-purpose CPUs. To take advantage of the Grid Computing power, the FTK simulation is integrated with Monte Carlo simulations at the Production System level above the ATLAS workload management system PanDA. We report on ATLAS experience with FTK simulations on the Grid and next steps for accommodating the growing requirements for resources during the LHC R...

  5. REAL : A Network Simulator Srinivasan Keshav

    E-Print Network [OSTI]

    Keshav, Srinivasan

    simulations using REAL, and Section 7 presents a performance evaluation of the simulator. Section 8 describes a design for extending REAL to parallel distributed simulation. Section 9 is an evaluation of this work, and Section 10 describes future work. 2. Outline of the Simulator This section describes a user's view

  6. MOOSE: Multiphysics Object-Oriented Simulation Environment

    ScienceCinema (OSTI)

    Gaston, Derek

    2014-05-30T23:59:59.000Z

    An overview of Idaho National Laboratory's MOOSE: Multiphysics Object-Oriented Simulation Environment

  7. Real-time network simulation support for

    E-Print Network [OSTI]

    Liu, Xiaowen "Jason"

    Real-time network simulation support for scalable routing experiments Yue Li*, Jason Liu, and Raju-time network simulation with the realism of open- source routing protocol implementations. The infrastructure experiments on light-weight virtual machines. Keywords: network simulation; real-time simulation; network

  8. Lattice Simulations and Infrared Conformality

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

    Appelquist, Thomas; Fleming, George T.; Lin, Meifeng; Neil, Ethan T.; Schaich, David A.

    2011-09-01T23:59:59.000Z

    We examine several recent lattice-simulation data sets, asking whether they are consistent with infrared conformality. We observe, in particular, that for an SU(3) gauge theory with 12 Dirac fermions in the fundamental representation, recent simulation data can be described assuming infrared conformality. Lattice simulations include a fermion mass m which is then extrapolated to zero, and we note that this data can be fit by a small-m expansion, allowing a controlled extrapolation. We also note that the conformal hypothesis does not work well for two theories that are known or expected to be confining and chirally broken, and that it does work well for another theory expected to be infrared conformal.

  9. Lattice Simulations and Infrared Conformality

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

    Appelquist, Thomas; Fleming, George T.; Lin, Meifeng; Neil, Ethan T.; Schaich, David A.

    2011-09-01T23:59:59.000Z

    We examine several recent lattice-simulation data sets, asking whether they are consistent with infrared conformality. We observe, in particular, that for an SU(3) gauge theory with 12 Dirac fermions in the fundamental representation, recent simulation data can be described assuming infrared conformality. Lattice simulations include a fermion mass m which is then extrapolated to zero, and we note that this data can be fit by a small-m expansion, allowing a controlled extrapolation. We also note that the conformal hypothesis does not work well for two theories that are known or expected to be confining and chirally broken, and that itmore »does work well for another theory expected to be infrared conformal.« less

  10. Simulating Reionization in Numerical Cosmology

    E-Print Network [OSTI]

    Aaron Sokasian; Tom Abel; Lars E. Hernquist

    2001-05-10T23:59:59.000Z

    The incorporation of radiative transfer effects into cosmological hydrodynamical simulations is essential for understanding how the intergalactic medium (IGM) makes the transition from a neutral medium to one that is almost fully ionized. Here, we present an approximate numerical method designed to study in a statistical sense how a cosmological density field is ionized by a set of discrete point sources. A diffuse background radiation field is also computed self-consistently in our procedure. The method requires relatively few time steps and can be employed with simulations having high resolution. We describe the details of the algorithm and provide a description of how the method can be applied to the output from a pre-existing cosmological simulation to study the systematic reionization of a particular ionic species. As a first application, we compute the reionization of He II by quasars in the redshift range 3 to 6.

  11. Simulating chemistry using quantum computers

    E-Print Network [OSTI]

    Ivan Kassal; James D. Whitfield; Alejandro Perdomo-Ortiz; Man-Hong Yung; Alán Aspuru-Guzik

    2010-07-15T23:59:59.000Z

    The difficulty of simulating quantum systems, well-known to quantum chemists, prompted the idea of quantum computation. One can avoid the steep scaling associated with the exact simulation of increasingly large quantum systems on conventional computers, by mapping the quantum system to another, more controllable one. In this review, we discuss to what extent the ideas in quantum computation, now a well-established field, have been applied to chemical problems. We describe algorithms that achieve significant advantages for the electronic-structure problem, the simulation of chemical dynamics, protein folding, and other tasks. Although theory is still ahead of experiment, we outline recent advances that have led to the first chemical calculations on small quantum information processors.

  12. Special nuclear material simulation device

    DOE Patents [OSTI]

    Leckey, John H.; DeMint, Amy; Gooch, Jack; Hawk, Todd; Pickett, Chris A.; Blessinger, Chris; York, Robbie L.

    2014-08-12T23:59:59.000Z

    An apparatus for simulating special nuclear material is provided. The apparatus typically contains a small quantity of special nuclear material (SNM) in a configuration that simulates a much larger quantity of SNM. Generally the apparatus includes a spherical shell that is formed from an alloy containing a small quantity of highly enriched uranium. Also typically provided is a core of depleted uranium. A spacer, typically aluminum, may be used to separate the depleted uranium from the shell of uranium alloy. A cladding, typically made of titanium, is provided to seal the source. Methods are provided to simulate SNM for testing radiation monitoring portals. Typically the methods use at least one primary SNM spectral line and exclude at least one secondary SNM spectral line.

  13. Integrating software architectures for distributed simulations and simulation analysis communities.

    SciTech Connect (OSTI)

    Goldsby, Michael E.; Fellig, Daniel; Linebarger, John Michael; Moore, Patrick Curtis; Sa, Timothy J.; Hawley, Marilyn F.

    2005-10-01T23:59:59.000Z

    The one-year Software Architecture LDRD (No.79819) was a cross-site effort between Sandia California and Sandia New Mexico. The purpose of this research was to further develop and demonstrate integrating software architecture frameworks for distributed simulation and distributed collaboration in the homeland security domain. The integrated frameworks were initially developed through the Weapons of Mass Destruction Decision Analysis Center (WMD-DAC), sited at SNL/CA, and the National Infrastructure Simulation & Analysis Center (NISAC), sited at SNL/NM. The primary deliverable was a demonstration of both a federation of distributed simulations and a federation of distributed collaborative simulation analysis communities in the context of the same integrated scenario, which was the release of smallpox in San Diego, California. To our knowledge this was the first time such a combination of federations under a single scenario has ever been demonstrated. A secondary deliverable was the creation of the standalone GroupMeld{trademark} collaboration client, which uses the GroupMeld{trademark} synchronous collaboration framework. In addition, a small pilot experiment that used both integrating frameworks allowed a greater range of crisis management options to be performed and evaluated than would have been possible without the use of the frameworks.

  14. An Energy-Aware Simulation Model and Transaction Protocol

    E-Print Network [OSTI]

    Pedram, Massoud

    functioning in a real world environment ! We study the effects of redistributing energy on the two network density function ! Host energy model ! Computation energy: power consumption of SP, EPIC, LPIC ! Communication energy: power consumption for SR transmission and reception ! Data transmission energy

  15. Dynamic simulation of voltage collapses

    SciTech Connect (OSTI)

    Deuse, J.; Stubbe, M. (Tractebel, Brussels (Belgium))

    1993-08-01T23:59:59.000Z

    Most of the time the voltage collapse phenomena are studied by means of computer programs designed for the calculation of steady state conditions. But in the real world, the simultaneous occurrences of losses of synchronism, of AVR dynamics or of transformer tap changes call for a full dynamic simulation of voltage phenomena. The present paper shows some examples of dynamic simulations of voltage phenomena using a new general purpose stability program (EUROSTAG), covering in a continuous way the classical fields of transient, mid-term and long-term stability, and also the quasi steady state conditions of a power system.

  16. Simulation in Medical School Education: Review for Emergency Medicine

    E-Print Network [OSTI]

    Chakravarthy, Bharath; ter Haar, Elizabeth; Bhat, Srinidhi Subraya; McCoy, Christopher Erik; Denmark, T. Kent; Lotfipour, Shahram

    2011-01-01T23:59:59.000Z

    study of simulation vs. didactics for teaching medicalof simulation to traditional didactics. Other studies have

  17. File: PoS_Markov_22_MM.doc 100524 Poisson Simulation outperforms Markov Simulation

    E-Print Network [OSTI]

    [10], is a more recent method for model building and simulation that facilitates construction, modelFile: PoS_Markov_22_MM.doc 100524 Poisson Simulation outperforms Markov Simulation Leif Gustafsson.Gustafsson@bt.slu.se Abstract Markov Simulation and the more recent Poisson Simulation are two fully consistent ways

  18. WORKFLOW SIMULATION FOR INTERNATIONAL TRADE

    E-Print Network [OSTI]

    Thomborson, Clark

    WORKFLOW SIMULATION FOR INTERNATIONAL TRADE Qiang Dong Supervised by Professor Clark Thomborson's competitive world. International trade has received some academic attention as an application of Business Process Reengineering. A major issue in international trade is due to problems pertaining to mutual

  19. Simulated Interdiction: Proliferation Security Initiative

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    ………………………………... Technical Capabilities to Support PSI ………………………………… Foreign Policy and External Relations ………………………............... Republic of Bevostan ………………………………………………………….. Geography ……………………………………………………………... iii 1 3 4 5 6 7 8 8 8 8 8 9 9 10... Security, Science and Policy Institute (NSSPI) Texas A&M University May 6, 2009 Simulated Interdiction: The Proliferation Security Initiative (PSI) Acknowledgements The National Nuclear Security Administration (NNSA) of the U.S. Department...

  20. Introduction Simulation of Pathological conditions

    E-Print Network [OSTI]

    Willson, Stephen J.

    Reference Survey of the Modeling Brain Energy Metabolism and Function -- Report of the work by Larisa. V et State University MATH 690P, Dec. 1. 06 Wen Zhou Modeling Brain Energy #12;Outline Introduction Modeling Simulation of Pathological conditions Conclusion and Discussion Reference Introduction Modeling Energy

  1. Simulating Wax Crayons Dave Rudolf

    E-Print Network [OSTI]

    Mould, David

    Simulating Wax Crayons Dave Rudolf dave.rudolf@usask.ca David Mould mould@cs.usask.ca Eric Neufeld a physically-inspired model of wax crayons, which synthesizes drawings from collections of user- specified that evolves as it interacts with the paper. The amount of wax deposition is computed based on the crayon

  2. LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS

    E-Print Network [OSTI]

    Rathbun, Julie A.

    LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K

  3. Tutorial: Parallel Simulation on Supercomputers

    SciTech Connect (OSTI)

    Perumalla, Kalyan S [ORNL

    2012-01-01T23:59:59.000Z

    This tutorial introduces typical hardware and software characteristics of extant and emerging supercomputing platforms, and presents issues and solutions in executing large-scale parallel discrete event simulation scenarios on such high performance computing systems. Covered topics include synchronization, model organization, example applications, and observed performance from illustrative large-scale runs.

  4. Xyce parallel electronic simulator design.

    SciTech Connect (OSTI)

    Thornquist, Heidi K.; Rankin, Eric Lamont; Mei, Ting; Schiek, Richard Louis; Keiter, Eric Richard; Russo, Thomas V.

    2010-09-01T23:59:59.000Z

    This document is the Xyce Circuit Simulator developer guide. Xyce has been designed from the 'ground up' to be a SPICE-compatible, distributed memory parallel circuit simulator. While it is in many respects a research code, Xyce is intended to be a production simulator. As such, having software quality engineering (SQE) procedures in place to insure a high level of code quality and robustness are essential. Version control, issue tracking customer support, C++ style guildlines and the Xyce release process are all described. The Xyce Parallel Electronic Simulator has been under development at Sandia since 1999. Historically, Xyce has mostly been funded by ASC, the original focus of Xyce development has primarily been related to circuits for nuclear weapons. However, this has not been the only focus and it is expected that the project will diversify. Like many ASC projects, Xyce is a group development effort, which involves a number of researchers, engineers, scientists, mathmaticians and computer scientists. In addition to diversity of background, it is to be expected on long term projects for there to be a certain amount of staff turnover, as people move on to different projects. As a result, it is very important that the project maintain high software quality standards. The point of this document is to formally document a number of the software quality practices followed by the Xyce team in one place. Also, it is hoped that this document will be a good source of information for new developers.

  5. Modeling and Simulation Academic Program

    E-Print Network [OSTI]

    in analysis Refined accident-incident forecast (location, frequency, and severity) Recurrent and incident#12;#12;#12;Modeling and Simulation Academic Program #12;M&S Workforce Development Associate Implementation, Operations Engineer Design, Analysis Scientist Research, Development Partners in Providing World

  6. 5, 79658026, 2005 Simulating aerosol

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    composition, number concentration, and size distribution of the global submicrometer aerosol. The present, coagulation, condensation, nucleation of sulfuric acid vapor, aerosol chemistry, cloud processing, and sizeACPD 5, 7965­8026, 2005 Simulating aerosol microphysics with ECHAM/MADE A. Lauer et al. Title Page

  7. 6, 75197562, 2006 Simulating aerosol

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , particle number concentration and aerosol size-distribution. The model takes into account sulfate (SO4. This model system enables explicit simulations of the particle number concentration and size-distribution of aerosol dynamical processes (nucleation, condensation, coagulation) is evaluated by comparison

  8. Non Nuclear NTR Environmental Simulator

    SciTech Connect (OSTI)

    Emrich, William J. Jr. [NASA Marshall Space Flight Center, M.S. XD21, Huntsville, Alabama 35812 (United States)

    2006-01-20T23:59:59.000Z

    Nuclear Thermal Rockets or NTR's have been suggested as a propulsion system option for vehicles traveling to the moon or Mars. These engines are capable of providing high thrust at specific impulses at least twice that of today's best chemical engines. The performance constraints on these engines are mainly the result of temperature limitations on the fuel coupled with a limited ability to withstand chemical attack by the hot hydrogen propellant. To operate at maximum efficiency, fuel forms are desired which can withstand the extremely hot, hostile environment characteristic of NTR operation for at least several hours. The simulation of such an environment would require an experimental device which could simultaneously approximate the power, flow, and temperature conditions which a nuclear fuel element (or partial element) would encounter during NTR operation. Such a simulation would allow detailed studies of the fuel behavior and hydrogen flow characteristics under reactor like conditions to be performed. The goal of these simulations would be directed toward expanding the performance envelope of NTR engines over that which was demonstrated during the Rover and NERVA nuclear rocket programs of the 1970's. Current planning calls for such a simulator to be constructed at the Marshall Space Flight Center over the coming year, and it is anticipated that it will be used in the future to evaluate a wide variety of fuel element designs and the materials of which they are constructed. This present work addresses the initial experimental objectives of the NTR simulator with regard to reproducing the fuel degradation patterns previously observed during the NERVA testing.

  9. A PC simulation of heat transfer and temperature distribution in a circulating wellbore

    E-Print Network [OSTI]

    Pierce, Robert Duane

    1987-01-01T23:59:59.000Z

    for Varying Drill Pipe 59 Outer Diameter TABLE 4 - Well Data Summary For Varying Mud Flow Rate TABLE 5 ? Mell Data Summary For Varying Heat Transfer 60 62 Coefficient (Pipe) 65 TABLE 6 ? Well Data Summary For Varying Heat Transfer Coefficient (Annulus.... 2 - Introductory menu of program Fig. 3 - Program master menu Fig. 4 ? Change/view parameters menu Fig. 5 ? Drilling fluid parameters menu Fig. 6 ? Drill pipe parameters menu Fig. 7 ? Mellbore/formation parameters menu Fig. 8 - Casing...

  10. A PC simulation of heat transfer and temperature distribution in a circulating wellbore 

    E-Print Network [OSTI]

    Pierce, Robert Duane

    1987-01-01T23:59:59.000Z

    for Varying Drill Pipe 59 Outer Diameter TABLE 4 - Well Data Summary For Varying Mud Flow Rate TABLE 5 ? Mell Data Summary For Varying Heat Transfer 60 62 Coefficient (Pipe) 65 TABLE 6 ? Well Data Summary For Varying Heat Transfer Coefficient (Annulus.... 2 - Introductory menu of program Fig. 3 - Program master menu Fig. 4 ? Change/view parameters menu Fig. 5 ? Drilling fluid parameters menu Fig. 6 ? Drill pipe parameters menu Fig. 7 ? Mellbore/formation parameters menu Fig. 8 - Casing...

  11. advanced mud system: Topics by E-print Network

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

    David 47 An Overview on Advance Metering System CiteSeer Summary: Abstract The term "Smart meter " typically refers to an electrical meter, but the term is also starting to be...

  12. Capital Controls: Mud in the Wheels of Market Discipline

    E-Print Network [OSTI]

    Forbes, Kristin J.

    2004-03-12T23:59:59.000Z

    Widespread support for capital account liberalization in emerging markets has recently shifted to skepticism and even support for capital controls in certain circumstances. This sea-change in attitudes has been bolstered ...

  13. amazonian shelf muds: Topics by E-print Network

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

    Felix Naumann Humboldt-Universitt zu Berlin: Commercial database management systems (DBMS) have come a long way with re- spect to efficiency and more recently, with respect to...

  14. Advanced Mud System for Microhole Coiled Tubing Drilling | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE Jump to:Ohio:Ads-tec GmbH JumpEnergyInformation Coiled

  15. Mud Hen Lake, Minnesota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville,Missoula,MontereyHill,Spurr GeothermalInformationMtMt. BakerHen

  16. Nevada Environmental Restoration Project Amchitka Mud Pit Sites

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1 8 7 + PROJECTpi/LFebruary

  17. NUMERICAL SIMULATIONS OF CHROMOSPHERIC MICROFLARES

    SciTech Connect (OSTI)

    Jiang, R. L.; Fang, C.; Chen, P. F., E-mail: fangc@nju.edu.c [Department of Astronomy, Nanjing University, Nanjing 210093 (China)

    2010-02-20T23:59:59.000Z

    With gravity, ionization, and radiation being considered, we perform 2.5 dimensional (2.5D) compressible resistive magnetohydrodynamic (MHD) simulations of chromospheric magnetic reconnection using the CIP-MOCCT scheme. The temperature distribution of the quiet-Sun atmospheric model VALC and the helium abundance (10%) are adopted. Our 2.5D MHD simulation reproduces qualitatively the temperature enhancement observed in chromospheric microflares. The temperature enhancement DELTAT is demonstrated to be sensitive to the background magnetic field, whereas the total evolution time DELTAt is sensitive to the magnitude of the anomalous resistivity. Moreover, we found a scaling law, which is described as DELTAT/DELTAt {approx} n{sub H} {sup -1.5} B {sup 2.1}eta{sub 0} {sup 0.88}. Our results also indicate that the velocity of the upward jet is much greater than that of the downward jet, and the X-point may move up or down.

  18. Quantum simulations of physics problems

    SciTech Connect (OSTI)

    Somma, R. D. (Rolando D.); Ortiz, G. (Gerardo); Knill, E. H. (Emanuel H.); Gubernatis, J. E.

    2003-01-01T23:59:59.000Z

    If a large Quantum Computer (QC) existed today, what type of physical problems could we efficiently simulate on it that we could not efficiently simulate on a classical Turing machine? In this paper we argue that a QC could solve some relevant physical 'questions' more efficiently. The existence of one-to-one mappings between different algebras of observables or between different Hilbert spaces allow us to represent and imitate any physical system by any other one (e.g., a bosonic system by a spin-1/2 system). We explain how these mappings can be performed, and we show quantum networks useful for the efficient evaluation of some physical properties, such as correlation functions and energy spectra.

  19. Numerical simulations of quasar absorbers

    E-Print Network [OSTI]

    Tom Theuns

    2005-07-25T23:59:59.000Z

    The physical state of the intergalactic medium can be probed in great detail with the intervening absorption systems seen in quasar spectra. The properties of the Hydrogen absorbers depend on many cosmological parameters, such as the matter-power spectrum, reionisation history, ionising background and the nature of the dark matter. The spectra also contain metal lines, which can be used to constrain the star formation history and the feedback processes acting in large and small galaxies. Simulations have been instrumental in investigating to what extent these parameters can be unambiguously constrained with current and future data. This paper is meant as an introduction to this subject, and reviews techniques and methods for simulating the intergalactic medium.

  20. Proceedings of the Sixth Symposium on BEER, 2013 Dynamics of Computational Islet Simulations: Islets with

    E-Print Network [OSTI]

    Gobbert, Matthias K.

    that beta-cells undergo voltage oscillations during the cours another and transfer various ions and electrical currents; coupling of both voltage and metabolites can model, computational islet, glycolytic oscillations 1 Introduction Diabetes mellitus, commonly known

  1. Numerical simulation of hydraulic fracturing

    E-Print Network [OSTI]

    Warner, Joseph Barnes

    1987-01-01T23:59:59.000Z

    ~ared that the results of such treatments were not always adequately described by the two-dimensional models. With recent advances in hydraulic fracturing and computing technology, attempts have been made to formulate more realistic fracture models. These three...NUMERICAL SIMULATION OF HYDRAULIC FRACTURING A Thesis by JOSEPH BARNES WARNER Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1987 Maj or Subj ect...

  2. Bayesian Statistics Stochastic Simulation -Gibbs sampling

    E-Print Network [OSTI]

    Wright, Francis

    Bayesian Statistics Stochastic Simulation - Gibbs sampling Bayesian Statistics - an Introduction Dr Pettit Bayesian Statistics - an Introduction #12;Bayesian Statistics Stochastic Simulation - Gibbs sampling What is Bayesian Statistics? Bayes Theorem The Likelihood Principle Mixtures of conjugate priors

  3. Fluid Catalytic Cracking Power Recovery Computer Simulation

    E-Print Network [OSTI]

    Samurin, N. A.

    1979-01-01T23:59:59.000Z

    operating conditions. The digital computer model simulates the performance of the axial compressor, power recovery expander, regenerator section, and system pressure drops. The program can simulate the process system design conditions for compatibility...

  4. Computer simulation of neutron capture therapy.

    E-Print Network [OSTI]

    Olson, Arne Peter

    1967-01-01T23:59:59.000Z

    Analytical methods are developed to simulate on a large digital computer the production and use of reactor neutron beams f or boron capture therapy of brain tumors. The simulation accounts for radiation dose distributions ...

  5. Computer simulation of neutron capture therapy

    E-Print Network [OSTI]

    Olson, Arne Peter

    1967-01-01T23:59:59.000Z

    Analytical methods are developed to simulate on a large digital computer the production and use of reactor neutron beams f or boron capture therapy of brain tumors. The simulation accounts for radiation dose distributions ...

  6. Bayes, Asymptotics, Simulation and the Bootstrap

    E-Print Network [OSTI]

    Fletcher, David

    Bayes, Asymptotics, Simulation and the Bootstrap David Fletcher Department of Mathematics Bootstrapping and Bayesian Methods #12;Bayesian Methods and Asymptotics Bayesian methods Conceptually simple for lognormal cases Insight: studentized bootstrap better than percentile Simulations useful for checking actual

  7. Design and Simulation of Lithium Rechargeable Batteries

    E-Print Network [OSTI]

    Doyle, C.M.

    2010-01-01T23:59:59.000Z

    Design and Simulation of Lithium Rechargeable Batteries by Christopher Marc Doyle Doctor of Philosophy in Chemical EngineeringDesign and Simulation of Lithium Rechargeable Batteries I C. Marc Doyle Department of Chemical Engineering

  8. More Issues of Building Energy Simulation 

    E-Print Network [OSTI]

    Kang, Z.; Zhao, J.

    2006-01-01T23:59:59.000Z

    The paper investigates the development of building energy simulation software. It is shown that such applications can be used for energy forecasting, system design and operations, and energy evaluation. Several energy simulation methods are analyzed...

  9. Drilling optimization using drilling simulator software

    E-Print Network [OSTI]

    Salas Safe, Jose Gregorio

    2004-09-30T23:59:59.000Z

    the results of using drilling simulator software called Drilling Optimization Simulator (DROPS®) in the evaluation of the Aloctono block, in the Pirital field, eastern Venezuela. This formation is characterized by very complex geology, containing faulted...

  10. Fluid Catalytic Cracking Power Recovery Computer Simulation 

    E-Print Network [OSTI]

    Samurin, N. A.

    1979-01-01T23:59:59.000Z

    operating conditions. The digital computer model simulates the performance of the axial compressor, power recovery expander, regenerator section, and system pressure drops. The program can simulate the process system design conditions for compatibility...

  11. Towards Grid-Wide Modeling and Simulation

    E-Print Network [OSTI]

    Xie, Yong

    Modeling and simulation permeate all areas of business, science and engineering. With the increase in the scale and complexity of simulations, large amounts of computational resources are required, and collaborative model ...

  12. Modeling and Simulation for Safeguards

    SciTech Connect (OSTI)

    Swinhoe, Martyn T. [Los Alamos National Laboratory

    2012-07-26T23:59:59.000Z

    The purpose of this talk is to give an overview of the role of modeling and simulation in Safeguards R&D and introduce you to (some of) the tools used. Some definitions are: (1) Modeling - the representation, often mathematical, of a process, concept, or operation of a system, often implemented by a computer program; (2) Simulation - the representation of the behavior or characteristics of one system through the use of another system, especially a computer program designed for the purpose; and (3) Safeguards - the timely detection of diversion of significant quantities of nuclear material. The role of modeling and simulation are: (1) Calculate amounts of material (plant modeling); (2) Calculate signatures of nuclear material etc. (source terms); and (3) Detector performance (radiation transport and detection). Plant modeling software (e.g. FACSIM) gives the flows and amount of material stored at all parts of the process. In safeguards this allow us to calculate the expected uncertainty of the mass and evaluate the expected MUF. We can determine the measurement accuracy required to achieve a certain performance.

  13. An interactive teaching device simulating intussusception reduction

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    1764-x TECHNICAL INNOVATION An interactive teaching deviceIRB. We developed an interactive teaching device to simulate

  14. Quantum walks and relativistic quantum simulations

    E-Print Network [OSTI]

    Blatt, Rainer

    in a quantum simulation of the Klein para- dox. The position and momentum of a relativistic Dirac particle

  15. Simulating a quantum magnet with trapped ions

    E-Print Network [OSTI]

    Loss, Daniel

    systems we need a quantum leap in computer simulations. We cannot translate quantum behaviour arising from dynamics, we need a `quantum leap' in simulation efficiency. As proposed in ref. 1, a universal quantumLETTERS Simulating a quantum magnet with trapped ions A. FRIEDENAUER*, H. SCHMITZ*, J. T. GLUECKERT

  16. Framework for Simulation Integration Radek Sindelar

    E-Print Network [OSTI]

    of simulation life cycle. The remainder of this work is structured as follows: in the next section on a simulation and integration problem. The section 4 introduces the concept and structure of environment for simulation integration. In the section 5 beside the current status the real project is described. The section

  17. Numerical simulations of the intergalactic medium

    E-Print Network [OSTI]

    Tom Theuns

    2002-09-05T23:59:59.000Z

    The intergalactic medium at redshifts 2--6 can be studied observationally through the absorption features it produces in the spectra of background quasars. Most of the UV-absorption lines arise in mildly overdense regions, which can be simulated reliably with current hydrodynamical simulations. Comparison of observed and simulated spectra allows one to put contraints on the model's parameters.

  18. SLUDGE BATCH 6/TANK 40 SIMULANT CHEMICAL PROCESS CELL SIMULATIONS

    SciTech Connect (OSTI)

    Koopman, David

    2010-04-28T23:59:59.000Z

    Phase III simulant flowsheet testing was completed using the latest composition estimates for SB6/Tank 40 feed to DWPF. The goals of the testing were to determine reasonable operating conditions and assumptions for the startup of SB6 processing in the DWPF. Testing covered the region from 102-159% of the current DWPF stoichiometric acid equation. Nitrite ion concentration was reduced to 90 mg/kg in the SRAT product of the lowest acid run. The 159% acid run reached 60% of the DWPF Sludge Receipt and Adjustment Tank (SRAT) limit of 0.65 lb H2/hr, and then sporadically exceeded the DWPF Slurry Mix Evaporator (SME) limit of 0.223 lb H2/hr. Hydrogen generation rates peaked at 112% of the SME limit, but higher than targeted wt% total solids levels may have been partially responsible for rates seen. A stoichiometric factor of 120% met both objectives. A processing window for SB6 exists from 102% to something close to 159% based on the simulant results. An initial recommendation for SB6 processing is at 115-120% of the current DWPF stoichiometric acid equation. The addition of simulated Actinide Removal Process (ARP) and Modular Caustic Side Solvent Extraction Unit (MCU) streams to the SRAT cycle had no apparent impact on the preferred stoichiometric factor. Hydrogen generation occurred continuously after acid addition in three of the four tests. The three runs at 120%, 118.4% with ARP/MCU, and 159% stoichiometry were all still producing around 0.1 lb hydrogen/hr at DWPF scale after 36 hours of boiling in the SRAT. The 120% acid run reached 23% of the SRAT limit and 37% of the SME limit. Conversely, nitrous oxide generation was subdued compared to previous sludge batches, staying below 29 lb/hr in all four tests or about a fourth as much as in comparable SB4 testing. Two processing issues, identified during SB6 Phase II flowsheet testing and qualification simulant testing, were monitored during Phase III. Mercury material balance closure was impacted by acid stoichiometry, and significant mercury was not accounted for in the highest acid run. Coalescence of elemental mercury droplets in the mercury water wash tank (MWWT) appeared to degrade with increasing stoichiometry. Observations were made of mercury scale formation in the SRAT condenser and MWWT. A tacky mercury amalgam with Rh, Pd, and Cu, plus some Ru and Ca formed on the impeller at 159% acid. It contained a significant fraction of the available Pd, Cu, and Rh as well as about 25% of the total mercury charged. Free (elemental) mercury was found in all of the SME products. Ammonia scrubbers were used during the tests to capture off-gas ammonia for material balance purposes. Significant ammonium ion formation was again observed during the SRAT cycle, and ammonia gas entered the off-gas as the pH rose during boiling. Ammonium ion production was lower than in the SB6 Phase II and the qualification simulant testing. Similar ammonium ion formation was seen in the ARP/MCU simulation as in the 120% flowsheet run. A slightly higher pH caused most of the ammonium to vaporize and collect in the ammonia scrubber reflux solution. Two periods of foaminess were noted. Neither required additional antifoam to control the foam growth. A steady foam layer formed during reflux in the 120% acid run. It was about an inch thick, but was 2-3 times more volume of bubbles than is typically seen during reflux. A similar foam layer also was seen during caustic boiling of the simulant during the ARP addition. While frequently seen with the radioactive sludge, foaminess during caustic boiling with simulants has been relatively rare. Two further flowsheet tests were performed and will be documented separately. One test was to evaluate the impact of process conditions that match current DWPF operation (lower rates). The second test was to evaluate the impact of SRAT/SME processing on the rheology of a modified Phase III simulant that had been made five times more viscous using ultrasonication.

  19. Molecular Dynamics Simulation of the AgCl/Electrolyte Interfacial...

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

    Simulation of the AgClElectrolyte Interfacial Capacity. Molecular Dynamics Simulation of the AgClElectrolyte Interfacial Capacity. Abstract: Molecular dynamics simulation of the...

  20. Simulating a Nationally Representative Housing Sample Using EnergyPlus

    E-Print Network [OSTI]

    Hopkins, Asa S.

    2011-01-01T23:59:59.000Z

    Simulating a Nationally Representative Housing Sample UsingSimulating a Nationally Representative Housing Sample Usingcalibrated, nationally representative set of simulated homes

  1. Learning style impact on knowledge gains in human patient simulation

    E-Print Network [OSTI]

    Shinnick, MA; Woo, MA

    2014-01-01T23:59:59.000Z

    the preference for simulation as a learning style. Singap.of high- ?delity simulation-based learning: a case reportdelity simulation: does it correlate with learning styles?

  2. Learning style impact on knowledge gains in human patient simulation

    E-Print Network [OSTI]

    Shinnick, MA; Woo, MA

    2015-01-01T23:59:59.000Z

    the preference for simulation as a learning style. Singap.of high- ?delity simulation-based learning: a case reportdelity simulation: does it correlate with learning styles?

  3. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01T23:59:59.000Z

    whole building energy simulation program. In: IBPSA BuildingExchange Protocols for Energy Simulation of HVAC&R EquipmentInteroperability for Energy Simulation. buildingSmart (2010)

  4. Strategies for coupling energy simulation and computational fluid dynamics programs

    E-Print Network [OSTI]

    Zhai, Zhiqiang; Chen, Qingyan; Klems, Joseph H.; Haves, Philip

    2001-01-01T23:59:59.000Z

    2000. “EnergyPlus: Energy Simulation Program” . ASHRAEA Coupled Airflow-and-Energy Simulation Program for IndoorSTRATEGIES FOR COUPLING ENERGY SIMULATION AND COMPUTATIONAL

  5. Acquisition of building geometry in the simulation of energy performance

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2001-01-01T23:59:59.000Z

    New-Generation Building Energy Simulation Program," Energy &Classes,” Building Energy Simulation User News, Vol.21,Clarke, J.A. 1985. Energy Simulation in Building Design,

  6. Software Architecture for Object-Oriented Simulation Modeling and Simulation Environments

    E-Print Network [OSTI]

    the realm of (i) model building & simulation execution in conjunction with (ii) software architectureSoftware Architecture for Object-Oriented Simulation Modeling and Simulation Environments: Case been a steady migration towards object-oriented modeling and simulation environments. There exist many

  7. A Smart Home Simulation Tool The Development of a Simulation Tool for Measuring

    E-Print Network [OSTI]

    A Smart Home Simulation Tool The Development of a Simulation Tool for Measuring the Impact of a Smart Grid on a Private Home Michael Nysteen & Henrik Mynderup Kongens Lyngby 2012 IMM-M.Sc.-2012-117 #12;A Smart Home Simulation Tool The Development of a Simulation Tool for Measuring the Impact

  8. Accelerated dynamics simulations of nanotubes.

    SciTech Connect (OSTI)

    Uberuaga, B. P. (Blas Pedro); Stuart, S. J. (Steve J.); Voter, A. F.

    2002-01-01T23:59:59.000Z

    We report on the application of accelerated dynamics techniques to the study of carbon nanotubes. We have used the parallel replica method and temperature accelerated dynamics simulations are currently in progress. In the parallel replica study, we have stretched tubes at a rate significantly lower than that used in previous studies. In these preliminary results, we find that there are qualitative differences in the rupture of the nanotubes at different temperatures. We plan on extending this investigation to include nanotubes of various chiralities. We also plan on exploring unique geometries of nanotubes.

  9. Simulated nuclear reactor fuel assembly

    DOE Patents [OSTI]

    Berta, Victor T. (Idaho Falls, ID)

    1993-01-01T23:59:59.000Z

    An apparatus for electrically simulating a nuclear reactor fuel assembly. It includes a heater assembly having a top end and a bottom end and a plurality of concentric heater tubes having electrical circuitry connected to a power source, and radially spaced from each other. An outer target tube and an inner target tube is concentric with the heater tubes and with each other, and the outer target tube surrounds and is radially spaced from the heater tubes. The inner target tube is surrounded by and radially spaced from the heater tubes and outer target tube. The top of the assembly is generally open to allow for the electrical power connection to the heater tubes, and the bottom of the assembly includes means for completing the electrical circuitry in the heater tubes to provide electrical resistance heating to simulate the power profile in a nuclear reactor. The embedded conductor elements in each heater tube is split into two halves for a substantial portion of its length and provided with electrical isolation such that each half of the conductor is joined at one end and is not joined at the other end.

  10. Simulated nuclear reactor fuel assembly

    DOE Patents [OSTI]

    Berta, V.T.

    1993-04-06T23:59:59.000Z

    An apparatus for electrically simulating a nuclear reactor fuel assembly. It includes a heater assembly having a top end and a bottom end and a plurality of concentric heater tubes having electrical circuitry connected to a power source, and radially spaced from each other. An outer target tube and an inner target tube is concentric with the heater tubes and with each other, and the outer target tube surrounds and is radially spaced from the heater tubes. The inner target tube is surrounded by and radially spaced from the heater tubes and outer target tube. The top of the assembly is generally open to allow for the electrical power connection to the heater tubes, and the bottom of the assembly includes means for completing the electrical circuitry in the heater tubes to provide electrical resistance heating to simulate the power profile in a nuclear reactor. The embedded conductor elements in each heater tube is split into two halves for a substantial portion of its length and provided with electrical isolation such that each half of the conductor is joined at one end and is not joined at the other end.

  11. Low Energy Quantum System Simulation

    E-Print Network [OSTI]

    Peter Cho; Karl Berggren

    2003-10-26T23:59:59.000Z

    A numerical method for solving Schrodinger's equation based upon a Baker-Campbell-Hausdorff (BCH) expansion of the time evolution operator is presented herein. The technique manifestly preserves wavefunction norm, and it can be applied to problems in any number of spatial dimensions. We also identify a particular dimensionless ratio of potential to kinetic energies as a key coupling constant. This coupling establishes characteristic length and time scales for a large class of low energy quantum states, and it guides the choice of step sizes in numerical work. Using the BCH method in conjunction with an imaginary time rotation, we compute low energy eigenstates for several quantum systems coupled to non-trivial background potentials. The approach is subsequently applied to the study of 1D propagating wave packets and 2D bound state time development. Failures of classical expectations uncovered by simulations of these simple systems help develop quantum intuition. Finally, we investigate the response of a Superconducting Quantum Interference Device (SQUID) to a time dependent potential. We discuss how to engineer the potential's energy and time scales so that the SQUID acts as a quantum NOT gate. The notional simulation we present for this gate provides useful insight into the design of one candidate building block for a quantum computer.

  12. Multiphysics simulations: challenges and opportunities.

    SciTech Connect (OSTI)

    Keyes, D.; McInnes, L. C.; Woodward, C.; Gropp, W.; Myra, E.; Pernice, M. (Mathematics and Computer Science); (KAUST and Columbia Univ.); (Lawrence Livermore National Laboratory); (Univ. of Illinois at Urbana-Champaign); (Univ. of Mich.); (Idaho National Lab.)

    2012-11-29T23:59:59.000Z

    This report is an outcome of the workshop Multiphysics Simulations: Challenges and Opportunities, sponsored by the Institute of Computing in Science (ICiS). Additional information about the workshop, including relevant reading and presentations on multiphysics issues in applications, algorithms, and software, is available via https://sites.google.com/site/icismultiphysics2011/. We consider multiphysics applications from algorithmic and architectural perspectives, where 'algorithmic' includes both mathematical analysis and computational complexity and 'architectural' includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities. We also initiate a modest suite of test problems encompassing features present in many applications.

  13. Stochastic Roadmap Simulation: Efficient Representation and Algorithms for

    E-Print Network [OSTI]

    Brutlag, Doug

    Stochastic Roadmap Simulation: Efficient Representation and Algorithms for the Analysis Roadmap Simulation (SRS) #12;Stochastic Roadmap Simulation (SRS) Multiple paths at once; #12;Stochastic Roadmap Simulation (SRS) Multiple paths at once; No local minimum problem; #12;Stochastic Roadmap

  14. The Durham ELT adaptive optics simulation platform

    E-Print Network [OSTI]

    Alastair Basden; Timothy Butterley; Richard Myers; Richard Wilson

    2006-11-09T23:59:59.000Z

    Adaptive optics systems are essential on all large telescopes where image quality is important. These are complex systems with many design parameters requiring optimisation before good performance can be achieved. The simulation of adaptive optics systems is therefore necessary to categorise the expected performance. This paper describes an adaptive optics simulation platform, developed at Durham University, which can be used to simulate adaptive optics systems on the largest proposed future extremely large telescopes (ELTs) as well as current systems. This platform is modular, object oriented and has the benefit of hardware application acceleration which can be used to improve the simulation performance, essential for ensuring that the run time of a given simulation is acceptable. The simulation platform described here can be highly parallelised using parallelisation techniques suited for adaptive optics simulation, whilst still offering the user complete control while the simulation is running. Results from the simulation of a ground layer adaptive optics system are provided as an example to demonstrate the flexibility of this simulation platform.

  15. atomistic simulation study: Topics by E-print Network

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

    14 Simulational nanoengineering: Molecular dynamics implementation of an atomistic Stirling engine Physics Websites Summary: Simulational nanoengineering: Molecular dynamics...

  16. atomistic simulation studies: Topics by E-print Network

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

    14 Simulational nanoengineering: Molecular dynamics implementation of an atomistic Stirling engine Physics Websites Summary: Simulational nanoengineering: Molecular dynamics...

  17. Theory, experiment and computer simulation of the electrostatic...

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

    Theory, experiment and computer simulation of the electrostatic potential at crystalelectrolyte interfaces . Theory, experiment and computer simulation of the electrostatic...

  18. International symposium on fuel rod simulators: development and application

    SciTech Connect (OSTI)

    McCulloch, R.W. (comp.)

    1981-05-01T23:59:59.000Z

    Separate abstracts are included for each of the papers presented concerning fuel rod simulator operation and performance; simulator design and evaluation; clad heated fuel rod simulators and fuel rod simulators for cladding investigations; fuel rod simulator components and inspection; and simulator analytical modeling. Ten papers have previously been input to the Energy Data Base.

  19. Simulating Billion-Task Parallel Programs

    SciTech Connect (OSTI)

    Perumalla, Kalyan S [ORNL] [ORNL; Park, Alfred J [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    In simulating large parallel systems, bottom-up approaches exercise detailed hardware models with effects from simplified software models or traces, whereas top-down approaches evaluate the timing and functionality of detailed software models over coarse hardware models. Here, we focus on the top-down approach and significantly advance the scale of the simulated parallel programs. Via the direct execution technique combined with parallel discrete event simulation, we stretch the limits of the top-down approach by simulating message passing interface (MPI) programs with millions of tasks. Using a timing-validated benchmark application, a proof-of-concept scaling level is achieved to over 0.22 billion virtual MPI processes on 216,000 cores of a Cray XT5 supercomputer, representing one of the largest direct execution simulations to date, combined with a multiplexing ratio of 1024 simulated tasks per real task.

  20. Model Validation with Hybrid Dynamic Simulation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

    2006-06-18T23:59:59.000Z

    Abstract—Model validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation.

  1. Emulation to simulate low resolution atmospheric data

    SciTech Connect (OSTI)

    Hebbur Venkata Subba Rao, Vishwas [ORNL; Archibald, Richard K [ORNL; Evans, Katherine J [ORNL

    2012-08-01T23:59:59.000Z

    Climate simulations require significant compute power, they are complex and therefore it is time consuming to simulate them. We have developed an emulator to simulate unknown climate datasets. The emulator uses stochastic collocation and multi-dimensional in- terpolation to simulate the datasets. We have used the emulator to determine various physical quantities such as temperature, short and long wave cloud forcing, zonal winds etc. The emulation gives results which are very close to those obtained by simulations. The emulator was tested on 2 degree atmospheric datasets. The work evaluates the pros and cons of evaluating the mean first and inter- polating and vice versa. To determine the physical quantities, we have assumed them to be a function of time, longitude, latitude and a random parameter. We have looked at parameters that govern high stable clouds, low stable clouds, timescale for convection etc. The emulator is especially useful as it requires negligible compute times when compared to the simulation itself.

  2. Intelligent interface for design and simulation

    SciTech Connect (OSTI)

    Draisin, W.; Peter, E.

    1986-01-01T23:59:59.000Z

    We are developing a system composed of intelligent interfaces, expert systems, and databases that uses artificial intelligence techniques to simplify the use of large simulation codes and to help design complicated physical devices. The simulation codes are used in analyzing and designing weapons, and the devices are themselves parts of weapon systems. From a designer's point of view, the simulation process is the same no matter what is being simulated. In the course of developing two intelligent interfaces for the design of nuclear weapons, we have found that data-driven programming is a useful technique for implementing an open-ended user interface to assist the designer. We discuss the simulation process as it is done now and as it could be done with intelligent interfaces. We then discuss the use of data-driven programming in a database environment to support an interface for an arbitrary number of simulation codes. 3 figs.

  3. Benchmarking ICRF simulations for ITER

    SciTech Connect (OSTI)

    R. V. Budny, L. Berry, R. Bilato, P. Bonoli, M. Brambilla, R.J. Dumont, A. Fukuyama, R. Harvey, E.F. Jaeger, E. Lerche, C.K. Phillips, V. Vdovin, J. Wright, and members of the ITPA-IOS

    2010-09-28T23:59:59.000Z

    Abstract Benchmarking of full-wave solvers for ICRF simulations is performed using plasma profiles and equilibria obtained from integrated self-consistent modeling predictions of four ITER plasmas. One is for a high performance baseline (5.3 T, 15 MA) DT H-mode plasma. The others are for half-field, half-current plasmas of interest for the pre-activation phase with bulk plasma ion species being either hydrogen or He4. The predicted profiles are used by seven groups to predict the ICRF electromagnetic fields and heating profiles. Approximate agreement is achieved for the predicted heating power partitions for the DT and He4 cases. Profiles of the heating powers and electromagnetic fields are compared.

  4. Simulation Enabled Safeguards Assessment Methodology

    SciTech Connect (OSTI)

    Robert Bean; Trond Bjornard; Thomas Larson

    2007-09-01T23:59:59.000Z

    It is expected that nuclear energy will be a significant component of future supplies. New facilities, operating under a strengthened international nonproliferation regime will be needed. There is good reason to believe virtual engineering applied to the facility design, as well as to the safeguards system design will reduce total project cost and improve efficiency in the design cycle. Simulation Enabled Safeguards Assessment MEthodology (SESAME) has been developed as a software package to provide this capability for nuclear reprocessing facilities. The software architecture is specifically designed for distributed computing, collaborative design efforts, and modular construction to allow step improvements in functionality. Drag and drop wireframe construction allows the user to select the desired components from a component warehouse, render the system for 3D visualization, and, linked to a set of physics libraries and/or computational codes, conduct process evaluations of the system they have designed.

  5. Simulation of leveling in electrodeposition

    SciTech Connect (OSTI)

    Dukovic, J.O.; Tobias, C.W. (Materials and Chemical Sciences Div., Lawrence Berkeley Lab. and Dept. of Chemical Engineering, Univ. of California, Berkeley, CA (US))

    1990-12-01T23:59:59.000Z

    This paper reports on a model of current distribution and electrode shape change for electrodeposition in the presence of diffusion-controlled leveling agents that have been developed. The system is treated as a special case of secondary current distribution, with the surface overpotential taken to depend on both the current density and the transport-limited flux of the leveling agent, according to an empirical relation adapted from polarization data measured at different conditions of agitation. The spatial variation of the leveling-agent flux is determined from a concentration field problem based on the assumption of a stagnant diffusion layer. The solution is obtained by the boundary element method, with a flexible moving-boundary algorithm for simulating the advancement of the electrode profile. To illustrate the model's performance, the evolution of a groove profile during deposition of nickel from a Watts-type bath containing coumarin is predicted and compared with measurements reported in the literature.

  6. Explosive simulants for testing explosive detection systems

    DOE Patents [OSTI]

    Kury, John W. (Danville, CA); Anderson, Brian L. (Lodi, CA)

    1999-09-28T23:59:59.000Z

    Explosives simulants that include non-explosive components are disclosed that facilitate testing of equipment designed to remotely detect explosives. The simulants are non-explosive, non-hazardous materials that can be safely handled without any significant precautions. The simulants imitate real explosives in terms of mass density, effective atomic number, x-ray transmission properties, and physical form, including moldable plastics and emulsions/gels.

  7. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01T23:59:59.000Z

    VOLUME 12, NUMBER 4 HVAC&R RESEARCH OCTOBER 2006 1141 Uncalibrated Building Energy Simulation Modeling Results Mushtaq Ahmad Charles H. Culp, PhD, PE Associate Member ASHRAE Fellow ASHRAE Received June 23, 2005; accepted April 17, 2006... the uncalibrated simulations were completed. The dis- crepancies between the simulated and measured total yearly building energy use varied over ±30% with one outlier. The results show that discrepancies ranged over ±90% between the sim- ulations and the measured...

  8. GEOMECHANICS IN RESERVOIR SIMULATION: OVERVIEW OF ...

    E-Print Network [OSTI]

    P. LONGUEMARE

    2002-11-12T23:59:59.000Z

    dans le réservoir et de faciliter le calage des historiques de production. Abstract — Geomechanics in Reservoir Simulation: Overview of Coupling Methods and ...

  9. Multidimensional simulation and chemical kinetics development...

    Broader source: Energy.gov (indexed) [DOE]

    Developing chemical kinetic mechanisms and applying them to simulating engine combustion processes. deer09aceves.pdf More Documents & Publications Chemical Kinetic Research on...

  10. First trillion particle cosmological simulation completed

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

    trillion particle cosmological simulation completed A team of astrophysicists and computer scientists has created high-resolution cyber images of our cosmos. December 3, 2014...

  11. Simulation and Risk Assessment Archived Projects

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

    Mellon University 412008 Simulation and Risk Assessment for Phase III Pilots Regional Carbon Sequestration Partnerships 1012008 Injection and Reservoir Hazard Management:...

  12. Molecular dynamics simulation studies of electrolytes andelectrolyte...

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

    Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. es40smith.pdf More Documents & Publications Molecular Dynamics Simulation Studies of...

  13. Improved Solvers for Advanced Engine Combustion Simulation

    Broader source: Energy.gov (indexed) [DOE]

    Volvo; multi-zone cycle simulation, OpenFOAM model development Bosch; High Performance Computing of HCCISI transition Delphi; direct injection GE Research; new...

  14. Sandia National Laboratories: Offshore Wind Energy Simulation...

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

    Offshore Wind Energy Simulation Toolkit Sandia Vertical-Axis Wind-Turbine Research Presented at Science of Making Torque from Wind Conference On July 8, 2014, in Computational...

  15. Molecular dynamics simulation of threshold displacement energies...

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

    experimental estimates in ceramics. Citation: Moreira PA, R Devanathan, J Yu, and WJ Weber.2009."Molecular dynamics simulation of threshold displacement energies in...

  16. Materials Theory, Modeling and Simulation | ORNL

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

    Materials Characterization Materials Theory and Simulation Quantum Monte Carlo Density Functional Theory Monte Carlo Ab Initio Molecular Dynamics Chemical and Materials Theory...

  17. Simulating Complex Window Systems using BSDF Data

    E-Print Network [OSTI]

    Konstantoglou, Maria

    2011-01-01T23:59:59.000Z

    BSDF simulated values, due to differences in sky luminancesky distribution, modelled interior and exterior conditions, and slight differences in location of view. Still, the luminance

  18. Development and Demonstration of Ultrafiltration Simulants

    SciTech Connect (OSTI)

    Russell, Renee L.; Billing, Justin M.; Peterson, Reid A.; Rinehart, Donald E.; Smith, Harry D.

    2009-02-24T23:59:59.000Z

    According to Bechtel National, Inc. (BNI) Test Specification 24590-PTF-TSP-RT-06-006, Rev 0, Simulant Development to Support the Development and Demonstration of Leaching and Ultrafiltration Pretreatment Processes,” simulants for boehmite, gibbsite, and filtration are to be developed that can be used in subsequent bench and integrated testing of the leaching/filtration processes for the waste treatment plant (WTP). These simulants will then be used to demonstrate the leaching process and to help refine processing conditions which may impact safety basis considerations (Smith 2006). This report documents the results of the filtration simulant development.

  19. Sandia National Laboratories: Consortium for Advanced Simulation...

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

    the modeling simulation tools built during its first phase to include additional nuclear reactor designs, including small, modular reactors. "As President Obama made clear...

  20. Development and Characterization of Boehmite Component Simulant

    SciTech Connect (OSTI)

    Russell, Renee L.; Peterson, Reid A.; Smith, Harry D.; Rinehart, Donald E.; Aker, Pamela M.; Buck, Edgar C.

    2009-03-10T23:59:59.000Z

    According to Bechtel National Inc.’s (BNI’s) Test Specification 24590-PTF-TSP-RT-06-006, Rev 0, “Simulant Development to Support the Development and Demonstration of Leaching and Ultrafiltration Pretreatment Processes,” simulants for boehmite, gibbsite, and filtration are to be developed that can be used in subsequent bench and integrated testing of the leaching/filtration processes. These simulants will then be used to demonstrate the leaching process and to help refine processing conditions that may impact safety basis considerations (Smith 2006). This report documents the results of the boehmite simulant development.

  1. MOOSE simulating nuclear reactor CRUD buildup

    ScienceCinema (OSTI)

    None

    2014-07-21T23:59:59.000Z

    This simulation uses multiple physical models to show how the buildup of boron deposits on reactor fuel can affect performance and the reactor's power profile.

  2. MOOSE simulating nuclear reactor CRUD buildup

    SciTech Connect (OSTI)

    None

    2014-02-06T23:59:59.000Z

    This simulation uses multiple physical models to show how the buildup of boron deposits on reactor fuel can affect performance and the reactor's power profile.

  3. Sandia National Laboratories: Molecular Simulations Guide Nanowire...

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

    Innovation Summit Experimental Smart Outlet Brings Flexibility, Resiliency to Grid Architecture Molecular Simulations Guide Nanowire Research On March 7, 2012, in Capabilities,...

  4. Simulated watershed responses to land cover changes using the Regional Hydro-Ecological Simulation System

    E-Print Network [OSTI]

    Tarboton, David

    Simulated watershed responses to land cover changes using the Regional Hydro-Ecological Simulation Old Main Hill, Logan, UT, 84322-8200, USA Abstract: In this work, we used the Regional Hydro

  5. MIT Device Simulation WebLab : an online simulator for microelectronic devices

    E-Print Network [OSTI]

    Solis, Adrian (Adrian Orbita)

    2005-01-01T23:59:59.000Z

    In the field of microelectronics, a device simulator is an important engineering tool with tremendous educational value. With a device simulator, a student can examine the characteristics of a microelectronic device described ...

  6. Intelligent Simulation Tools for Mining Large Scienti c Data Sets 1 Intelligent Simulation Tools for Mining

    E-Print Network [OSTI]

    Bailey-Kellogg, Chris

    Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets 1 Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets Feng ZHAO Xerox Palo Alto Research Center 3333 Coyote Hill Road, Palo. Keywords Intelligent simulation, Scienti#12;c data mining, Qualitative reasoning, Reasoning about physical

  7. The verification of a semi-analytical reservoir simulator using a finite difference reservoir simulator 

    E-Print Network [OSTI]

    Dube, Hans Gerhardt

    1990-01-01T23:59:59.000Z

    of Cases Fundamental Difference Between the Reservoir Simulators. Data Sets. . General Process of Verification. . . . . . . . . . . . . . . 22 24 25 25 26 29 32 36 SINGLE LAYER, RADIAL FLOW DRAWDOWN CASES. . 38 viii Page Infinite Cylindrical... Drawdown Problems. . . . . . . . . . . . . 38 41 43 45 49 50 52 MULTIPLE LAYER RESERVOIR, RADIAL FLOW DRAWDOWN CASES. 63 Simulation of Multiple Layer Reservoirs. . . . . . Simulation Parameters. Constant Rate Drawdown Tests in an Infinite...

  8. Numerical Simulation for eHealth: Grid-enabled Medical Simulation Services Siegfried Benknera

    E-Print Network [OSTI]

    Middleton, Stuart E.

    advanced bio-medical simulation applications. Often, however, such applications have a very limited methodology advances. The European GEMSS Project [7] is concerned with the creation of medical Grid service1 Numerical Simulation for eHealth: Grid-enabled Medical Simulation Services Siegfried Benknera

  9. Simulations de Parent / Kinship Simulations Colloque final du projet SimPa

    E-Print Network [OSTI]

    White, Douglas R.

    Simulations de Parenté / Kinship Simulations Colloque final du projet SimPa Final workshop Remarks, Francois Heran (INED) 10h30 From Tip to SimPa. Why Bother with Simulation?, Michael Houseman (University of Ljubjana) 13h00 Lunch 14h30 Machine Learning Applied to Alliance Networks, Telmo Menezes (CAMS

  10. Primitive chain Brownian simulations of entangled rubbers Short title: Simulations of entangled rubbers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Primitive chain Brownian simulations of entangled rubbers Short title: Simulations of entangled rubbers J. Oberdisse1,2 , G. Ianniruberto2 , F. Greco3 , G. Marrucci2 1 Laboratoire Léon Brillouin CEA and entanglements used in several molecular theories of rubber elasticity is confirmed by the simulation results

  11. BLIND SPOTS OF QUALITATIVE SIMULATORS Nuri Tasdemir

    E-Print Network [OSTI]

    BLIND SPOTS OF QUALITATIVE SIMULATORS by Nuri Ta¸sdemir BS, in Electrical and Electronics in Computer Engineering Bogazi¸ci University 2007 #12;ii BLIND SPOTS OF QUALITATIVE SIMULATORS APPROVED BY: Prof. A.C. Cem Say . . . . . . . . . . . . . . . . . . . (Thesis Supervisor) Prof. H. Levent Akin

  12. A general-purpose, geochemical reservoir simulator

    SciTech Connect (OSTI)

    Liu, X.; Ortoleva, P.

    1996-12-31T23:59:59.000Z

    A geochemical simulator for the analysis of coupled reaction and transport processes is presented. The simulator is based on the numerical solution of the equations of coupled multi-phase fluid flow, species transport, energy balance and rock/fluid reactions. It also accounts for the effects of grain growth/dissolution and the alteration of porosity and permeability due to mineral reactions. The simulator can be used to analyze core floods, single-well scenarios and multiple production/injection well systems on the reservoir scale. Additionally, the simulator provides two flow options: the Darcy law for fluid flow in porous media and the Brinkman law that subsumes both free and porous medium flows. The simulator was tested using core acidizing data and results were in good agreement with laboratory observations. The simulator was applied to analyze matrix acidizing treatments for a horizontal well. The evolution of the skin factor was predicted and the optimal volume of acid required to remove the near-wellbore damage was determined. Reactive fluid infiltration was shown to lead to reaction-front fingering under certain conditions. Viscosity contrast in multiphase flow could also result in viscous fingering. Examples in this study also address these nonlinear fingering phenomena. A waterflood on the reservoir scale was analyzed and simulation results show that scale formation during waterfloods can occur far beyond injection wells. Two cases of waste disposal by deep well injection were evaluated and our simulation results were consistent with field measured data.

  13. Computer Simulations Reveal Multiple Functions for Aromatic

    E-Print Network [OSTI]

    Computer Simulations Reveal Multiple Functions for Aromatic Residues in Cellulase Enzymes NREL researchers use high-performance computing to demonstrate fundamental roles of aromatic residues in cellulase enzyme tunnels. National Renewable Energy Laboratory (NREL) computer simulations of a key indus- trial

  14. THE BLIND SIMULATION PROBLEM and REGENERATIVE PROCESSES

    E-Print Network [OSTI]

    Bucklew, James Antonio

    Processes 1 #12; 1 Introduction 1.1 Simulation and importance sampling Large and/or nonlinear stochastic on the order of 10 \\Gamma6 are quite common in stochastic systems. It is clear that a direct simulation(Z i ): The ratio p(\\Delta)=q(\\Delta) will be called the weight function of the importance sam

  15. Dynamic simulations of arrays of Josephson junctions

    SciTech Connect (OSTI)

    Eikmans, H.; van Himbergen, J.E. (Institute for Theoretical Physics, University of Utrecht, P.O. Box 80.006, 3508 TA Utrecht, The Netherlands (NL))

    1990-05-01T23:59:59.000Z

    First we introduce a very efficient algorithm for dynamic simulations of a wide class of arrays of Josephson junctions with realistic boundaries. With this algorithm one can also represent current-biased arrays with periodic boundaries. Next we present results of extensive simulations of ladder arrays. We evaluate the resistance as a function of magnetic field and find striking differences between different geometries.

  16. Numerical Simulation of Cooling Gas Injection Using

    E-Print Network [OSTI]

    Numerical Simulation of Cooling Gas Injection Using Adaptive Multiscale Techniques Wolfgang Dahmen: finite volume method, film cooling, cooling gas injection, multiscale techniques, grid adaptation AMS@igpm.rwth-aachen.de (Thomas Gotzen) #12;Numerical simulation of cooling gas injection using adaptive multiscale techniques

  17. Milestone M4900: Simulant Mixing Analytical Results

    SciTech Connect (OSTI)

    Kaplan, D.I.

    2001-07-26T23:59:59.000Z

    This report addresses Milestone M4900, ''Simulant Mixing Sample Analysis Results,'' and contains the data generated during the ''Mixing of Process Heels, Process Solutions, and Recycle Streams: Small-Scale Simulant'' task. The Task Technical and Quality Assurance Plan for this task is BNF-003-98-0079A. A report with a narrative description and discussion of the data will be issued separately.

  18. Incorporating Interprofessional Simulations in Dietetics Education

    E-Print Network [OSTI]

    George, Katie Elizabeth

    2014-08-31T23:59:59.000Z

    was not statistically significant. No difference was seen between students with regard to clinical experience. 87.5% of students felt the simulation helped them learn roles of other healthcare professionals, while 93.8% of students felt the simulation enhanced...

  19. Reweighting QCD simulations with dynamical overlap fermions

    E-Print Network [OSTI]

    Thomas DeGrand

    2008-10-03T23:59:59.000Z

    I apply a recently developed algorithm for reweighting simulations of lattice QCD from one quark mass to another to simulations performed with overlap fermions in the epsilon regime. I test it by computing the condensate from distributions of the low lying eigenvalues of the Dirac operator. Results seem favorable.

  20. Simulation of thermoacoustics with discontinuous Galerkin method

    E-Print Network [OSTI]

    Simulation of thermoacoustics with discontinuous Galerkin method Micha¨el Gineste Kongens Lyngby 2006 #12;#12;Summary This project concerns the simulation of thermoacoustical system. The aim of a numerical framework, which can be used as a tool for preliminary analysis of thermoacoustic systems. As such

  1. Short-Duration Simulations from Measurements.

    SciTech Connect (OSTI)

    Mitchell, Dean J.; Enghauser, Michael

    2014-08-01T23:59:59.000Z

    A method is presented that ascribes proper statistical variability to simulations that are derived from longer-duration measurements. This method is applicable to simulations of either real-value or integer-value data. An example is presented that demonstrates the applicability of this technique to the synthesis of gamma-ray spectra.

  2. Event simulation for colliders - A basic overview

    E-Print Network [OSTI]

    Christian Reuschle

    2014-11-26T23:59:59.000Z

    In this article we will discuss the basic calculational concepts to simulate particle physics events at high energy colliders. We will mainly focus on the physics in hadron colliders and particularly on the simulation of the perturbative parts, where we will in turn focus on the next-to-leading order QCD corrections.

  3. Observations and simulations improve space weather models

    E-Print Network [OSTI]

    - 1 - Observations and simulations improve space weather models June 25, 2014 Los Alamos with fast-moving particles and a space weather system that varies in response to incoming energy computer simulations of the space weather that can affect vital technology, communication and navigation

  4. Visualization of Fuel Cell Simulations Niklas Rober

    E-Print Network [OSTI]

    Zhang, Richard "Hao"

    Visualization of Fuel Cell Simulations Niklas R¨ober Otto-von-Guericke-Universit¨at, Magdeburg is used for this is a numerical simulation of a fuel cell. This data set is multiparametric and consist for the display of such data sets are discussed and evaluated on the fuel cell example. v #12;vi vi #12

  5. Atomistic Protein Folding Simulations on the

    E-Print Network [OSTI]

    Snow, Christopher

    Atomistic Protein Folding Simulations on the Submillisecond Time Scale Using Worldwide Distributed Abstract: Atomistic simulations of protein folding have the potential to be a great complement. Biopolymers 68: 91­109, 2003 Keywords: atomistic protein folding; microsecond time scale; computer hardware

  6. JPL S neii space simulator starts its

    E-Print Network [OSTI]

    Greer, Julia R.

    as much as anyone. 25 #12;The Month . . . continued solar panels extended. The space environment simu of the tower contains a solar simulation unit which is designed to simulate the varying intensity of sunlight of its kind in the United States, consists of a 10,000-square-foot building to house offices, a control

  7. SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE

    E-Print Network [OSTI]

    1 LBNL-47622 SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE Walker, I., Siegel, J ..................................................... 9 #12;3 ABSTRACT In many parts of North America residential HVAC systems are installed outside of the simulations is that they are dynamic - which accounts for cyclic losses from the HVAC system and the effect

  8. Molecular Simulation of Nanofluids Mark J. Biggs

    E-Print Network [OSTI]

    Adler, Joan

    Molecular Simulation of Nanofluids Mark J. Biggs School of Chemical Engineering, The University of Adelaide, South Australia, Australia, 5005. mark.biggs@adelaide.edu.au Models of nanofluid systems ­ which suited in many cases to those of nanofluid systems. It is for this reason that molecular simulation has

  9. Learning Partially Observable Deterministic Action Models Computer Science Department

    E-Print Network [OSTI]

    Amir, Eyal

    . For example, the overall time for learning STRIPS actions' effects is O(T · n). For other cases the update per- imate the representation with a k-CNF formula, yielding an overall time of O(T · nk ) for the entire, and games. Other applications, such as robotics, human-computer interfaces, and program and

  10. Learning Partially Observable Deterministic Action Models Computer Science Department

    E-Print Network [OSTI]

    Amir, Eyal

    . For example, the overall time for learning STRIPS actions' effects is O(T · n). For other cases the update per approx­ imate the representation with a k­CNF formula, yielding an overall time of O(T · n k, virtual worlds, and games. Other applications, such as robotics, human­computer interfaces, and progr

  11. MOMDIS: a Glauber model computer code for knockout reactions

    E-Print Network [OSTI]

    C. A. Bertulani; A. Gade

    2006-04-12T23:59:59.000Z

    A computer program is described to calculate momentum distributions in stripping and diffraction dissociation reactions. A Glauber model is used with the scattering wavefunctions calculated in the eikonal approximation. The program is appropriate for knockout reactions at intermediate energy collisions (30 MeV $\\leq$ E$_{lab}/$nucleon $\\leq 2000$ MeV). It is particularly useful for reactions involving unstable nuclear beams, or exotic nuclei (e.g. neutron-rich nuclei), and studies of single-particle occupancy probabilities (spectroscopic factors) and other related physical observables. Such studies are an essential part of the scientific program of radioactive beam facilities, as in for instance the proposed RIA (Rare Isotope Accelerator) facility in the US.

  12. Numerical Simulations of Thermobaric Explosions

    SciTech Connect (OSTI)

    Kuhl, A L; Bell, J B; Beckner, V E; Khasainov, B

    2007-05-04T23:59:59.000Z

    A Model of the energy evolution in thermobaric explosions is presented. It is based on the two-phase formulation: conservation laws for the gas and particle phases along with inter-phase interaction terms. It incorporates a Combustion Model based on the mass conservation laws for fuel, air and products; source/sink terms are treated in the fast-chemistry limit appropriate for such gas dynamic fields. The Model takes into account both the afterburning of the detonation products of the booster with air, and the combustion of the fuel (Al or TNT detonation products) with air. Numerical simulations were performed for 1.5-g thermobaric explosions in five different chambers (volumes ranging from 6.6 to 40 liters and length-to-diameter ratios from 1 to 12.5). Computed pressure waveforms were very similar to measured waveforms in all cases - thereby proving that the Model correctly predicts the energy evolution in such explosions. The computed global fuel consumption {mu}(t) behaved as an exponential life function. Its derivative {dot {mu}}(t) represents the global rate of fuel consumption. It depends on the rate of turbulent mixing which controls the rate of energy release in thermobaric explosions.

  13. Simulating Collisions for Hydrokinetic Turbines

    SciTech Connect (OSTI)

    Richmond, Marshall C.; Romero Gomez, Pedro DJ; Rakowski, Cynthia L.

    2013-10-01T23:59:59.000Z

    Evaluations of blade-strike on an axial-flow Marine Hydrokinetic turbine were conducted using a conventional methodology as well as an alternative modeling approach proposed in the present document. The proposed methodology integrates the following components into a Computa- tional Fluid Dynamics (CFD) model: (i) advanced eddy-resolving flow simulations, (ii) ambient turbulence based on field data, (iii) moving turbine blades in highly transient flows, and (iv) Lagrangian particles to mimic the potential fish pathways. The sensitivity of blade-strike prob- ability to the following conditions was also evaluated: (i) to the turbulent environment, (ii) to fish size and (iii) to mean stream flow velocity. The proposed methodology provided fraction of collisions and offered the capability of analyzing the causal relationships between the flow envi- ronment and resulting strikes on rotating blades. Overall, the conventional methodology largely overestimates the probability of strike, and lacks the ability to produce potential fish and aquatic biota trajectories as they interact with the rotating turbine. By using a set of experimental corre- lations of exposure-response of living fish colliding on moving blades, the occurrence, frequency and intensity of the particle collisions was next used to calculate the survival rate of fish crossing the MHK turbine. This step indicated survival rates always greater than 98%. Although the proposed CFD framework is computationally more expensive, it provides the advantage of evaluating multiple mechanisms of stress and injury of hydrokinetic turbine devices on fish.

  14. Simulations of superhumps and superoutbursts

    E-Print Network [OSTI]

    James Murray

    1997-10-22T23:59:59.000Z

    We numerically study the tidal instability of accretion discs in close binary systems using a two-dimensional SPH code. We find that the precession rate of tidally unstable, eccentric discs does not only depend upon the binary mass ratio q. Although the (prograde) disc precession rate increases with the strength of the tidal potential, it also increases with the shear viscosity. Increasing the disc temperature has a retrograde impact upon the precession rate. We find that motion relative to the binary potential results in superhump-like, periodic luminosity variations in the outer reaches of an eccentric disc. The nature and location of the luminosity modulation is a function of the shear viscosity, nu. Light curves most similar to observations are obtained for nu values appropriate for a dwarf nova in outburst. We investigate the thermal-tidal instability model for superoutburst. A dwarf nova outburst is simulated by instantaneously increasing nu, which causes a rapid radial expansion of the disc. Should the disc encounter the 3:1 eccentric inner Lindblad resonance and become tidally unstable, then tidal torques become much more efficient at removing angular momentum from the disc. The disc then shrinks and mass flux through the disc increases. The resulting increase in disc luminosity is found to be consistent with the excess luminosity of a superoutburst.

  15. A NEW GENERATION CHEMICAL FLOODING SIMULATOR

    SciTech Connect (OSTI)

    Gary A. Pope; Kamy Sepehrnoori; Mojdeh Delshad

    2005-01-01T23:59:59.000Z

    The premise of this research is that a general-purpose reservoir simulator for several improved oil recovery processes can and should be developed so that high-resolution simulations of a variety of very large and difficult problems can be achieved using state-of-the-art algorithms and computers. Such a simulator is not currently available to the industry. The goal of this proposed research is to develop a new-generation chemical flooding simulator that is capable of efficiently and accurately simulating oil reservoirs with at least a million gridblocks in less than one day on massively parallel computers. Task 1 is the formulation and development of solution scheme, Task 2 is the implementation of the chemical module, and Task 3 is validation and application. In this final report, we will detail our progress on Tasks 1 through 3 of the project.

  16. Method for simulating discontinuous physical systems

    DOE Patents [OSTI]

    Baty, Roy S. (Albuquerque, NM); Vaughn, Mark R. (Albuquerque, NM)

    2001-01-01T23:59:59.000Z

    The mathematical foundations of conventional numerical simulation of physical systems provide no consistent description of the behavior of such systems when subjected to discontinuous physical influences. As a result, the numerical simulation of such problems requires ad hoc encoding of specific experimental results in order to address the behavior of such discontinuous physical systems. In the present invention, these foundations are replaced by a new combination of generalized function theory and nonstandard analysis. The result is a class of new approaches to the numerical simulation of physical systems which allows the accurate and well-behaved simulation of discontinuous and other difficult physical systems, as well as simpler physical systems. Applications of this new class of numerical simulation techniques to process control, robotics, and apparatus design are outlined.

  17. An Evaluation of the Network Simulators in Large-Scale Distributed Simulations

    SciTech Connect (OSTI)

    Ciraci, Selim; Akyol, Bora A.

    2011-11-13T23:59:59.000Z

    This is a survey paper about the state-of-the-art in large-scale network simulation. Networks for the smart grids are characterized by millions of sensor nodes exchanging information about the status of the grid. This information exchange must be realized reliably and efficiently due to the mission critical nature of the power grid. Hence, the applications and the network protocols developed for the smart grid need go through rigorous testing and analysis before deployment. Developers usually do not have access to such a large-scale network that can be used as a controlled test-bed; therefore, network simulation becomes an essential tool for testing. Network simulation is a well studied problem in the literature and there are various widely used network simulators. These simulators can be adopted for testing applications and protocols of the smart grid. Due to the scale of these networks, parallel/distributed simulations need to be conducted. Even though most network simulators support distributed simulations, generating a large-scale network model to simulate can still be a cumbersome task. In this survey, we describe a selection of commonly used network simulators and evaluate them with respect to the following features that can aid users in distributed simulations of large-scale networks: transparency of setting up distributed simulation, automated topology generation, information hiding, lightweight routing protocols, network error simulation, evaluation of the network model during simulation and trace analysis tools. As a complementary result, we identify two issues with network simulators that can be addressed with runtime steering methods.

  18. Morphology of Gas Release in Physical Simulants

    SciTech Connect (OSTI)

    Daniel, Richard C.; Burns, Carolyn A.; Crawford, Amanda D.; Hylden, Laura R.; Bryan, Samuel A.; MacFarlan, Paul J.; Gauglitz, Phillip A.

    2014-07-03T23:59:59.000Z

    This report documents testing activities conducted as part of the Deep Sludge Gas Release Event Project (DSGREP). The testing described in this report focused on evaluating the potential retention and release mechanisms of hydrogen bubbles in underground radioactive waste storage tanks at Hanford. The goal of the testing was to evaluate the rate, extent, and morphology of gas release events in simulant materials. Previous, undocumented scoping tests have evidenced dramatically different gas release behavior from simulants with similar physical properties. Specifically, previous gas release tests have evaluated the extent of release of 30 Pa kaolin and 30 Pa bentonite clay slurries. While both materials are clays and both have equivalent material shear strength using a shear vane, it was found that upon stirring, gas was released immediately and completely from bentonite clay slurry while little if any gas was released from the kaolin slurry. The motivation for the current work is to replicate these tests in a controlled quality test environment and to evaluate the release behavior for another simulant used in DSGREP testing. Three simulant materials were evaluated: 1) a 30 Pa kaolin clay slurry, 2) a 30 Pa bentonite clay slurry, and 3) Rayleigh-Taylor (RT) Simulant (a simulant designed to support DSGREP RT instability testing. Entrained gas was generated in these simulant materials using two methods: 1) application of vacuum over about a 1-minute period to nucleate dissolved gas within the simulant and 2) addition of hydrogen peroxide to generate gas by peroxide decomposition in the simulants over about a 16-hour period. Bubble release was effected by vibrating the test material using an external vibrating table. When testing with hydrogen peroxide, gas release was also accomplished by stirring of the simulant.

  19. Call for Papers ACM Transactions on Modeling and Computer Simulation

    E-Print Network [OSTI]

    L'Ecuyer, Pierre

    simulation, improving the efficiency of simulations for those large systems, building effective and flexibleCall for Papers ACM Transactions on Modeling and Computer Simulation Special Issue on Simulation Pierre L'Ecuyer, University of Montreal In connection with the 2011 INFORMS Simulation Society Research

  20. Course Announcement CIS 786: Simulation and Modeling for

    E-Print Network [OSTI]

    Lin, Xiaodong

    are to learn how to plan, build and use simulation models and to develop an understanding of when simulation and software tools for building simulation models, performing experiments with them, and interpreting the results. To build simulation models, we will make use the software package ARENA, a popular simulation

  1. Evaluating uncertainty in stochastic simulation models

    SciTech Connect (OSTI)

    McKay, M.D.

    1998-02-01T23:59:59.000Z

    This paper discusses fundamental concepts of uncertainty analysis relevant to both stochastic simulation models and deterministic models. A stochastic simulation model, called a simulation model, is a stochastic mathematical model that incorporates random numbers in the calculation of the model prediction. Queuing models are familiar simulation models in which random numbers are used for sampling interarrival and service times. Another example of simulation models is found in probabilistic risk assessments where atmospheric dispersion submodels are used to calculate movement of material. For these models, randomness comes not from the sampling of times but from the sampling of weather conditions, which are described by a frequency distribution of atmospheric variables like wind speed and direction as a function of height above ground. A common characteristic of simulation models is that single predictions, based on one interarrival time or one weather condition, for example, are not nearly as informative as the probability distribution of possible predictions induced by sampling the simulation variables like time and weather condition. The language of model analysis is often general and vague, with terms having mostly intuitive meaning. The definition and motivations for some of the commonly used terms and phrases offered in this paper lead to an analysis procedure based on prediction variance. In the following mathematical abstraction the authors present a setting for model analysis, relate practical objectives to mathematical terms, and show how two reasonable premises lead to a viable analysis strategy.

  2. Assembly flow simulation of a radar

    SciTech Connect (OSTI)

    Rutherford, W.C.; Biggs, P.M.

    1993-10-01T23:59:59.000Z

    A discrete event simulation model has been developed to predict the assembly flow time of a new radar product. The simulation was the key tool employed to identify flow constraints. The radar, production facility, and equipment complement were designed, arranged, and selected to provide the most manufacturable assembly possible. A goal was to reduce the assembly and testing cycle time from twenty-six weeks to six weeks. A computer software simulation package (SLAM II) was utilized as the foundation a for simulating the assembly flow time. FORTRAN subroutines were incorporated into the software to deal with unique flow circumstances that were not accommodated by the software. Detailed information relating to the assembly operations was provided by a team selected from the engineering, manufacturing management, inspection, and production assembly staff. The simulation verified that it would be possible to achieve the cycle time goal of six weeks. Equipment and manpower constraints were identified during the simulation process and adjusted as required to achieve the flow with a given monthly production requirement. The simulation is being maintained as a planning tool to be used to identify constraints in the event that monthly output is increased. ``What-if`` studies have been conducted to identify the cost of reducing constraints caused by increases in output requirement.

  3. The incorporation of bubbles into a computer graphics fluid simulation

    E-Print Network [OSTI]

    Greenwood, Shannon Thomas

    2005-08-29T23:59:59.000Z

    We present methods for incorporating bubbles into a photorealistc fluid simulation. Previous methods of fluid simulation in computer graphics do not include bubbles. Our system automatically creates bubbles, which are simulated on top of the fluid...

  4. Interactive Simulation of Surgical Needle Insertion and Steering

    E-Print Network [OSTI]

    Chentanez, Nuttapong

    2010-01-01T23:59:59.000Z

    47] Dinesh K. Pai. STRANDS: Interactive simulation of thinand James F. O’Brien. Interactive simulation of surgicalM. Gr´egoire and E. Sch¨omer. Interactive simulation of one-

  5. Revamped Simulation Tool to Power Up Wave Energy Development...

    Energy Savers [EERE]

    Revamped Simulation Tool to Power Up Wave Energy Development Revamped Simulation Tool to Power Up Wave Energy Development May 21, 2015 - 2:40pm Addthis Revamped Simulation Tool to...

  6. Advanced wellbore thermal simulator GEOTEMP2 research report

    SciTech Connect (OSTI)

    Mitchell, R.F.

    1982-02-01T23:59:59.000Z

    The development of the GEOTEMP2 wellbore thermal simulator is described. The major technical features include a general purpose air and mist drilling simulator and a two-phase steam flow simulator that can model either injection or production.

  7. Where Simulation meets Reality Arthur Huang, David Levinson

    E-Print Network [OSTI]

    Minnesota, University of

    (Simulation of Network Growth) SAND (Simulation and Analysis of Network Design) CLUSTER (Clustered Locations Signal Control Module #12;ADAM Agent-based model of travel patterns #12;SONG Simulating transportation

  8. Co-simulation of innovative integrated HVAC systems in buildings

    E-Print Network [OSTI]

    Trcka, Marija

    2010-01-01T23:59:59.000Z

    General-Purpose Approach for Co-Simulation with ADAMS. In :and to scale the use of co-simulation to a large communitymore research and development. Co-simulation has been

  9. Fast time domain simulation for large order hybrid systems

    E-Print Network [OSTI]

    Sou, Kin Cheong, 1979-

    2002-01-01T23:59:59.000Z

    Simulation is an important tool for the analysis and design of complex systems. As the models become more and more complex, more powerful simulation methods are desired. As an attempt to address this problem, a simulation ...

  10. Pharmaceutical powders in experiment and simulation : towards a fundamental understanding

    E-Print Network [OSTI]

    Domike, Reuben Dumont, 1979-

    2004-01-01T23:59:59.000Z

    (cont.) The DEM simulation was used to simulate the relative importance of cohesion and friction. For angle of repose simulations, increasing the cohesion increased the final angle in a consistent, linear fashion. Increasing ...

  11. Interactive Simulation of Stylized Human Locomotion

    E-Print Network [OSTI]

    Silva, Marco da

    2008-08-01T23:59:59.000Z

    Animating natural human motion in dynamic environments is difficult because of complex geometric and physical interactions. Simulation provides an automatic solution to parts of this problem, but it needs control systems ...

  12. Compositional changes in heavy oil steamflood simulators

    E-Print Network [OSTI]

    Lolley, Christopher Scott

    1995-01-01T23:59:59.000Z

    including distillation, vapor pressure, steam distillation and viscosity measurements, along with a commercial PVT simulator are used to tune equation-of-state (EOS) and viscosity parameters to properly model the PVT properties of the oil. The Peng...

  13. Simulation Models for Improved Water Heating Systems

    E-Print Network [OSTI]

    Lutz, Jim

    2014-01-01T23:59:59.000Z

    and Simulation of a Smart Water Heater. ” In Workshop inFreezers, Furnaces, Water Heaters, Room and Central AirNovember. ADL. 1982b. Water Heater Computer Model User’s

  14. Computer simulations of polymers and gels 

    E-Print Network [OSTI]

    Wood, Dean

    2013-11-28T23:59:59.000Z

    plethora of simulation techniques have been developed and refined, allowing many aspects of complex systems to be demystified. I have used a range of these to study a variety of systems, utilising the latest technology in high performance computing (HPC...

  15. Large-scale simulations of reionization

    SciTech Connect (OSTI)

    Kohler, Katharina; /JILA, Boulder /Fermilab; Gnedin, Nickolay Y.; /Fermilab; Hamilton, Andrew J.S.; /JILA, Boulder

    2005-11-01T23:59:59.000Z

    We use cosmological simulations to explore the large-scale effects of reionization. Since reionization is a process that involves a large dynamic range--from galaxies to rare bright quasars--we need to be able to cover a significant volume of the universe in our simulation without losing the important small scale effects from galaxies. Here we have taken an approach that uses clumping factors derived from small scale simulations to approximate the radiative transfer on the sub-cell scales. Using this technique, we can cover a simulation size up to 1280h{sup -1} Mpc with 10h{sup -1} Mpc cells. This allows us to construct synthetic spectra of quasars similar to observed spectra of SDSS quasars at high redshifts and compare them to the observational data. These spectra can then be analyzed for HII region sizes, the presence of the Gunn-Peterson trough, and the Lyman-{alpha} forest.

  16. Improved Solvers for Advanced Engine Combustion Simulation

    Broader source: Energy.gov (indexed) [DOE]

    53560 Improved Solvers for Advanced Engine Combustion Simulation M. J. McNenly (PI), S. M. Aceves, D. L. Flowers, N. J. Killingsworth, G. M. Oxberry, G. Petitpas and R. A....

  17. Simulation and animation of a slinky

    E-Print Network [OSTI]

    Maxey, Mark Ray

    1994-01-01T23:59:59.000Z

    Animations of complex objects using traditional techniques often lack the dynamic integrity needed to produce realistic natural motion. Recently, dynamic simulation has been used to incorporate not only the spatial information, but the various...

  18. A low cost high flux solar simulator

    E-Print Network [OSTI]

    Codd, Daniel S.

    A low cost, high flux, large area solar simulator has been designed, built and characterized for the purpose of studying optical melting and light absorption behavior of molten salts. Seven 1500 W metal halide outdoor ...

  19. MODELING, SIMULATION AND OPTIMIZATION OF GROUND SOURCE

    E-Print Network [OSTI]

    MODELING, SIMULATION AND OPTIMIZATION OF GROUND SOURCE HEAT PUMP SYSTEMS By MUHAMMAD HAIDER KHAN AND OPTIMIZATION OF GROUND SOURCE HEAT PUMP SYSTEMS Thesis Approved..................................................................................................................... 1 1.1 Overview of Ground Source Heat Pump Systems.............................................. 1 1

  20. Simulated liquid argon interactions with neutrons

    E-Print Network [OSTI]

    Harrington, Kathleen M

    2012-01-01T23:59:59.000Z

    The GEANT4 physics simulation program is known to have errors in how hadronic interactions are implemented. This has the potential to cause errors in the Monte Carlos used to determine the expected neutron backgrounds in ...

  1. Collaborative Monitoring and Analysis for Simulation Scientist

    SciTech Connect (OSTI)

    Tchoua, Roselyne B [ORNL] [ORNL; Klasky, Scott A [ORNL] [ORNL; Podhorszki, Norbert [ORNL] [ORNL; Khan, Ayla Y [ORNL] [ORNL; Mouallem, P. A. [North Carolina State University] [North Carolina State University; Vouk, Mladen [North Carolina State University] [North Carolina State University

    2010-01-01T23:59:59.000Z

    Collaboratively monitoring and analyzing large scale simulations from petascale computers is an important area of research and development within the scientific community. This paper addresses these issues when teams of colleagues from different research areas work together to help understand the complex data generated from these simulations. In particular, we address the issues when geographically diverse teams of disparate researchers work together to understand the complex science being simulation on high performance computers. Most application scientists want to focus on the sciences and spend a minimum amount of time learning new tools or adopting new techniques to monitor and analyze their simulation data. The challenge eSimMon, of our web-based system is to decrease or eliminate some of the hurdles on the scientists path to scientific discovery, and allow these collaborations to flourish.

  2. COLLOQUIUM: Advanced Simulation for Technology Innovation and...

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

    27, 2015, 4:00pm to 5:30pm Colloquia MBG Auditorium COLLOQUIUM: Advanced Simulation for Technology Innovation and Science Discovery Dr. Scott Stanton ANSYS, Inc. Colloquium...

  3. Streamline simulation of Surfactant Enhanced Aquifer Remediation

    E-Print Network [OSTI]

    Tunison, Douglas Irvin

    1996-01-01T23:59:59.000Z

    and cumulative production histories. The model is three dimensional and capable of modeling heterogeneity anisotropy. The SEAR simulator models mobilization of residual NAPL through the effects of surfactant on the relative permeability curves. The solubilization...

  4. Transportation Analysis, Modeling, and Simulation (TAMS) Application

    E-Print Network [OSTI]

    Transportation Analysis, Modeling, and Simulation (TAMS) Application Center for Transportation Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he Center for Transportation Analysis (CTA) TAMS application is a web-based tool that supports

  5. Interactive simulation of fire, burn and decomposition

    E-Print Network [OSTI]

    Melek, Zeki

    2009-05-15T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . 86 35 Simulation control in action. . . . . . . . . . . . . . . . . . . . . . . . 89 36 Burning a log and a Siggraph logo. . . . . . . . . . . . . . . . . . . . 95 37 Two sets of quadrilateral stacks are used for different camera angles. 97 38...

  6. Interactive simulation of fire, burn and decomposition

    E-Print Network [OSTI]

    Melek, Zeki

    2008-10-10T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . 86 35 Simulation control in action. . . . . . . . . . . . . . . . . . . . . . . . 89 36 Burning a log and a Siggraph logo. . . . . . . . . . . . . . . . . . . . 95 37 Two sets of quadrilateral stacks are used for different camera angles. 97 38...

  7. THERM 5 / WINDOW 5 NFRC simulation manual

    SciTech Connect (OSTI)

    Mitchell, Robin; Kohler, Christian; Arasteh, Dariush; Carmody, John; Huizenga, Charlie; Curcija, Dragan

    2003-06-01T23:59:59.000Z

    This document, the ''THERM 5/WINDOW 5 NFRC Simulation Manual', discusses how to use the THERM and WINDOW programs to model products for NFRC certified simulations and assumes that the user is already familiar with those programs. In order to learn how to use these programs, it is necessary to become familiar with the material in both the ''THERM User's Manual'' and the ''WINDOW User's Manual''. In general, this manual references the User's Manuals rather than repeating the information. If there is a conflict between either of the User Manual and this ''THERM 5/''WINDOW 5 NFRC Simulation Manual'', the ''THERM 5/WINDOW 5 NFRC Simulation Manual'' takes precedence. In addition, if this manual is in conflict with any NFRC standards, the standards take precedence. For example, if samples in this manual do not follow the current taping and testing NFRC standards, the standards not the samples in this manual, take precedence.

  8. Modelling and Simulating of Rain Derivatives

    E-Print Network [OSTI]

    Modelling and Simulating of Rain Derivatives Master thesis Cathrin van Emmerich Supervisor, Februar 2005 Cathrin van Emmerich i #12;Table of Contents Table of Contents ii 1 Introduction 1 2

  9. Refinery burner simulation design architecture summary.

    SciTech Connect (OSTI)

    Pollock, Guylaine M.; McDonald, Michael James; Halbgewachs, Ronald D.

    2011-10-01T23:59:59.000Z

    This report describes the architectural design for a high fidelity simulation of a refinery and refinery burner, including demonstrations of impacts to the refinery if errors occur during the refinery process. The refinery burner model and simulation are a part of the capabilities within the Sandia National Laboratories Virtual Control System Environment (VCSE). Three components comprise the simulation: HMIs developed with commercial SCADA software, a PLC controller, and visualization software. All of these components run on different machines. This design, documented after the simulation development, incorporates aspects not traditionally seen in an architectural design, but that were utilized in this particular demonstration development. Key to the success of this model development and presented in this report are the concepts of the multiple aspects of model design and development that must be considered to capture the necessary model representation fidelity of the physical systems.

  10. Modeling techniques for simulating well behavior

    E-Print Network [OSTI]

    Rattu, Bungen Christina

    2002-01-01T23:59:59.000Z

    This thesis is a catalog of modeling techniques useful in simulating well behavior in certain types of reservoirs that are often encountered in petroleum reservoirs. Emphasis has been placed on techniques that can be used with any conventional...

  11. Groundwater Recharge Simulator M. Tech. Thesis

    E-Print Network [OSTI]

    Sohoni, Milind

    Groundwater Recharge Simulator M. Tech. Thesis by Dharmvir Kumar Roll No: 07305902 Guide: Prof;Contents 1 Introduction 1 1.1 Groundwater Theory.1.5 Groundwater Flow Equation . . . . . . . . . . . . . . . . . . . . . . 11 1.2 Numerical Solvers and Boundary

  12. A Course in Scientific Modeling and Simulation

    E-Print Network [OSTI]

    O'Leary, Michael

    A Course in Scientific Modeling and Simulation Mike O'Leary Shiva Azadegan Academx Publishing Copyright © 2003 by Mike O'Leary and Shiva Azadegan All rights reserved. No part of this publication may

  13. Polarization transmission at RHIC, numerical simulations

    SciTech Connect (OSTI)

    Meot F.; Bai, M.; Liu, C.; Minty, M.; Ranjbar, V.

    2012-05-20T23:59:59.000Z

    Typical tracking simulations regarding the transmission of the polarization in the proton-proton collider RHIC are discussed. They participate in general studies aimed at understanding and improving polarization performances during polarized proton-proton runs.

  14. Using FPGA Devices to Accelerate Biomolecular Simulations

    SciTech Connect (OSTI)

    Alam, Sadaf R [ORNL; Agarwal, Pratul K [ORNL; Smith, Melissa C [ORNL; Vetter, Jeffrey S [ORNL; Caliga, David E [ORNL

    2007-03-01T23:59:59.000Z

    A field-programmable gate array implementation of the particle-mesh Ewald a molecular dynamics simulation method reduces the microprocessor time-to-solution by a factor of three while using only high-level languages. The application speedup on FPGA devices increases with the problem size. The authors use a performance model to analyze the potential of simulating large-scale biological systems faster than many cluster-based supercomputing platforms.

  15. Simulating plant motion with levels of detail

    E-Print Network [OSTI]

    Flannery, Rebecca Lynn

    2013-02-22T23:59:59.000Z

    SIMULATING PLANT MOTION WITH LEVELS OF DETAIL A Senior Honors Thesis by REBECCA LYNN FLANNERY Submitted to the Office of Honors Programs k. Academic Scholarships Texas AkM University in partial fulfillment of the requirements... of the UNIVERSITY UNDERGRADUATE RESEARCH FELLOWS April 2003 Group: Engineering & Physics I SIMULATING PLANT MOTION WITH LEVELS OF DETAIL A Senior Honors Thesis by REBECCA LYNN FLANNERY Submitted to the Office of Honors Programs & Academic Scholarships...

  16. Using Simulation Models for Building Commissioning

    E-Print Network [OSTI]

    Claridge, D. E.

    2004-01-01T23:59:59.000Z

    , Sweden. This building utilizes multiple innovative HVAC systems. They used the IDA simulation environment to assess these untested HVAC-solutions and for dimensioning. During the initial commissioning they evaluated the performance using extensive... D2 is titled Use of Whole Building Simulation in Commissioning. Regular participants of the subtask meetings have included Oliver Baumann (Germany), David Claridge, Chair (USA), Jorgen Eriksson (Sweden), Nestor Fonseca, Johnny Holst (Norway), Per...

  17. PV array simulator development and validation.

    SciTech Connect (OSTI)

    Kuszmaul, Scott S.; Gonzalez, Sigifredo; Lucca, Roberto (Ametek Programmable Power, San Diego, CA); Deuel, Don (Ametek Programmable Power, San Diego, CA)

    2010-06-01T23:59:59.000Z

    The ability to harvest all available energy from a photovoltaic (PV) array is essential if new system developments are to meet levelized cost of energy targets and achieve grid parity with conventional centralized utility power. Therefore, exercising maximum power point tracking (MPPT) algorithms, dynamic irradiance condition operation and startup and shutdown routines and evaluating inverter performance with various PV module fill-factor characteristics must be performed with a repeatable, reliable PV source. Sandia National Laboratories is collaborating with Ametek Programmable Power to develop and demonstrate a multi-port TerraSAS PV array simulator. The simulator will replicate challenging PV module profiles, enabling the evaluation of inverter performance through analyses of the parameters listed above. Energy harvest algorithms have traditionally implemented methods that successfully utilize available energy. However, the quantification of energy capture has always been difficult to conduct, specifically when characterizing the inverter performance under non-reproducible dynamic irradiance conditions. Theoretical models of the MPPT algorithms can simulate capture effectiveness, but full validation requires a DC source with representative field effects. The DC source being developed by Ametek and validated by Sandia is a fully integrated system that can simulate an IV curve from the Solar Advisor Model (SAM) module data base. The PV simulator allows the user to change the fill factor by programming the maximum power point voltage and current parameters and the open circuit voltage and short circuit current. The integrated PV simulator can incorporate captured irradiance and module temperature data files for playback, and scripted profiles can be generated to validate new emerging hardware embedded with existing and evolving MPPT algorithms. Since the simulator has multiple independent outputs, it also has the flexibility to evaluate an inverter with multiple MPPT DC inputs. The flexibility of the PV simulator enables the validation of the inverter's capability to handle vastly different array configurations.

  18. Simlag: Simulation language for genetic populations

    E-Print Network [OSTI]

    Pfaffenberger, Roger C.

    1968-01-01T23:59:59.000Z

    program he developed was capable of simulating diploid individuals with ten loci and with one or two linkage groups per genotype. Different; phenotypic values could be assigned. at any given locus. Further, the program could simulate additive... of linkage on the rate of advance under selection with a system of diploid individuals, each characterized by two autosomal chromosomes of three genes. Recombination values ranging from r=0. 0 to r=0. 5 were used. Only the situation of complete dominance...

  19. Simulating airline operational responses to environmental constraints

    E-Print Network [OSTI]

    Evans, Antony

    2010-10-12T23:59:59.000Z

    from 1976, airlines retired older, noisier equipment and purchased new, quieter aircraft (de Neufville and Odoni, 2003, p182). Similarly, airlines responded to the sharp increases in oil prices in 2008 by retiring older, less fuel efficient aircraft... , and the flight network to be simulated. Airline competition is modeled by simulating a strategic game between airlines competing for market share, each of which maximizes its own profit. The model is validated by reproducing historical passenger flows...

  20. Development Plan for the Fuel Cycle Simulator

    SciTech Connect (OSTI)

    Brent Dixon

    2011-09-01T23:59:59.000Z

    The Fuel Cycle Simulator (FCS) project was initiated late in FY-10 as the activity to develop a next generation fuel cycle dynamic analysis tool for achieving the Systems Analysis Campaign 'Grand Challenge.' This challenge, as documented in the Campaign Implementation Plan, is to: 'Develop a fuel cycle simulator as part of a suite of tools to support decision-making, communication, and education, that synthesizes and visually explains the multiple attributes of potential fuel cycles.'

  1. Simulation framework for intelligent transportation systems

    SciTech Connect (OSTI)

    Ewing, T.; Doss, E.; Hanebutte, U.; Tentner, A.

    1996-10-01T23:59:59.000Z

    A simulation framework has been developed for a large-scale, comprehensive, scaleable simulation of an Intelligent Transportation System (ITS). The simulator is designed for running on parallel computers and distributed (networked) computer systems, but can run on standalone workstations for smaller simulations. The simulator currently models instrumented smart vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide two-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. Realistic modeling of variations of the posted driving speed are based on human factors studies that take into consideration weather, road conditions, driver personality and behavior, and vehicle type. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on parallel computers, such as ANL`s IBM SP-2, for large-scale problems. A novel feature of the approach is that vehicles are represented by autonomous computer processes which exchange messages with other processes. The vehicles have a behavior model which governs route selection and driving behavior, and can react to external traffic events much like real vehicles. With this approach, the simulation is scaleable to take advantage of emerging massively parallel processor (MPP) systems.

  2. Model Validation with Hybrid Dynamic Simulation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.

    2006-06-22T23:59:59.000Z

    Abstract—Model validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation. A few methods to define model quality indices have been proposed to quantify model error for model validation criteria development.

  3. Pore-Scale Simulation of Intragranular Diffusion: Effects of...

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

    Simulation of Intragranular Diffusion: Effects of Incomplete Mixing on Macroscopic Manifestations. Pore-Scale Simulation of Intragranular Diffusion: Effects of Incomplete Mixing on...

  4. 3-D Combustion Simulation Strategy Status, Future Potential,...

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

    Combustion Simulation Strategy Status, Future Potential, and Application Issues 3-D Combustion Simulation Strategy Status, Future Potential, and Application Issues 2004 Diesel...

  5. Assessment of Combustion and Turbulence Models for the Simulation...

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

    Combustion and Turbulence Models for the Simulation of Combustion Processes in a DI Diesel Engine Assessment of Combustion and Turbulence Models for the Simulation of Combustion...

  6. Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid...

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

    Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Berkeley Lab research could help...

  7. Computer Simulation of Uranyl Uptake by the Rough Lipopolysaccharide...

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

    Computer Simulation of Uranyl Uptake by the Rough Lipopolysaccharide Membrane of Pseudomonas aeruginosa. Computer Simulation of Uranyl Uptake by the Rough Lipopolysaccharide...

  8. Home Energy Score Update: New Simulation Training and Credential...

    Energy Savers [EERE]

    Update: New Simulation Training and Credential Requirements for Assessors Home Energy Score Update: New Simulation Training and Credential Requirements for Assessors Home Energy...

  9. Molecular simulations of the transport of molecules across the...

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

    simulations of the transport of molecules across the liquidvapor interface of water. Molecular simulations of the transport of molecules across the liquidvapor interface of...

  10. Molecular dynamics simulation and ab intio studies of electrolytes...

    Broader source: Energy.gov (indexed) [DOE]

    Molecular dynamics simulation and ab intio studies of electrolytes and electrolyteelectrode interfaces Molecular dynamics simulation and ab intio studies of electrolytes and...

  11. atomistic molecular simulation: Topics by E-print Network

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

    22 23 24 25 Next Page Last Page Topic Index 1 Simulational nanoengineering: Molecular dynamics implementation of an atomistic Stirling engine Physics Websites Summary: Simulational...

  12. Atomic detail brownian dynamics simulations of concentrated protein...

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

    detail brownian dynamics simulations of concentrated protein solutions with a mean field treatment of hydrodynamic Atomic detail brownian dynamics simulations of concentrated...

  13. Molecular dynamics simulations of ion range profiles for heavy...

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

    simulations of ion range profiles for heavy ions in light targets. Molecular dynamics simulations of ion range profiles for heavy ions in light targets. Abstract: The determination...

  14. NOx Adsorbers for Heavy Duty Truck Engines - Testing and Simulation...

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

    Adsorbers for Heavy Duty Truck Engines - Testing and Simulation NOx Adsorbers for Heavy Duty Truck Engines - Testing and Simulation This report provides the results of an...

  15. Vehicle Technologies Office Merit Review 2015: Large Eddy Simulation...

    Office of Environmental Management (EM)

    Large Eddy Simulation (LES) Applied to Advanced Engine Combustion Research Vehicle Technologies Office Merit Review 2015: Large Eddy Simulation (LES) Applied to Advanced Engine...

  16. HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL...

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

    AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING IN LABORATORY CONDITIONS HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING IN LABORATORY...

  17. Home Energy Score Update: New Simulation Training & Credential...

    Energy Savers [EERE]

    Home Energy Score Update: New Simulation Training & Credential Requirements for Assessors Home Energy Score Update: New Simulation Training & Credential Requirements for Assessors...

  18. Atomistic Simulation of the Size and Orientation Dependences...

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

    by applying nonequilibrium atomistic simulation methods using the Stillinger-Weber Phys. Rev. B 31, 5262 (1985) potentials. The simulation results show that the...

  19. Operational Simulation Tools and Long Term Strategic Planning...

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

    Operational Simulation Tools and Long Term Strategic Planning for High Penetrations of PV in the Southeastern U.S. Operational Simulation Tools and Long Term Strategic Planning for...

  20. Agent-Based Modeling and Simulation for Hydrogen Transition Analysis...

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

    Agent-Based Modeling and Simulation for Hydrogen Transition Analysis Agent-Based Modeling and Simulation for Hydrogen Transition Analysis Presentation on Agent-Based Modeling and...

  1. A Prototype for Graphene Material Simulation: Structures and...

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

    Prototype for Graphene Material Simulation: Structures and Interaction Potentials ofCoronene Dimers. A Prototype for Graphene Material Simulation: Structures and Interaction...

  2. Water at an electrochemical interface - a simulation study

    E-Print Network [OSTI]

    Willard, Adam

    2009-01-01T23:59:59.000Z

    simulations of redox active molten salts [18]. We begin withthe ?ndings in the molten salt simulations [16]. Thefor a redox-active molten salt system [18], where the

  3. Molecular Dynamics Simulations of Uranyl and Uranyl Carbonate...

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

    Simulations of Uranyl and Uranyl Carbonate Adsorption at Alumino-silicate Surfaces. Molecular Dynamics Simulations of Uranyl and Uranyl Carbonate Adsorption at Alumino-silicate...

  4. Sandia National Laboratories: quan-tifying and simulating solar...

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

    quan-tifying and simulating solar-plant variability using irradiance data Sandia PV Team Publishes Book Chapter On January 21, 2014, in Computational Modeling & Simulation, Energy,...

  5. Atomic-Level Simulations of Epitaxial Recrystallization andAmorphous...

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

    Simulations of Epitaxial Recrystallization and Amorphous-to-Crystalline Transition in 4H-SiC. Atomic-Level Simulations of Epitaxial Recrystallization and Amorphous-to-Crystalline...

  6. Modeling of Diesel Exhaust Systems: A methodology to better simulate...

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

    of Diesel Exhaust Systems: A methodology to better simulate soot reactivity Modeling of Diesel Exhaust Systems: A methodology to better simulate soot reactivity Discussed...

  7. Sandia Energy - Consortium for Advanced Simulation of Light Water...

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

    Consortium for Advanced Simulation of Light Water Reactors (CASL) Home Stationary Power Nuclear Fuel Cycle Advanced Nuclear Energy Consortium for Advanced Simulation of Light Water...

  8. Sandia National Laboratories: simulating solar-power-plant output...

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

    simulating solar-power-plant output variability Sandia PV Team Publishes Book Chapter On January 21, 2014, in Computational Modeling & Simulation, Energy, Modeling & Analysis,...

  9. agent based simulation: Topics by E-print Network

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

    an agent-based model to simulate the diffusion of smart metering technology in the electricity market. We simulate the emergent adoption of smart metering... Zhang, Tao;...

  10. Nonlinear Time Domain Modeling and Simulation of Surface and...

    Office of Environmental Management (EM)

    Nonlinear Time Domain Modeling and Simulation of Surface and Embedded NPPS Nonlinear Time Domain Modeling and Simulation of Surface and Embedded NPPS Nonlinear Time Domain Modeling...

  11. Medium- and Heavy-Duty Electric Drive Vehicle Simulation and...

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

    Medium- and Heavy-Duty Electric Drive Vehicle Simulation and Analysis Medium- and Heavy-Duty Electric Drive Vehicle Simulation and Analysis 2011 DOE Hydrogen and Fuel Cells...

  12. Development of Design and Simulation Tool for Hybrid Geothermal...

    Broader source: Energy.gov (indexed) [DOE]

    Development of Design and Simulation Tool for Hybrid Geothermal Heat Pump System Development of Design and Simulation Tool for Hybrid Geothermal Heat Pump System This project will...

  13. Vehicle Technologies Office: 2013 Vehicle and Systems Simulation...

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

    Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing...

  14. Co-simulation of innovative integrated HVAC systems in buildings

    E-Print Network [OSTI]

    Trcka, Marija

    2010-01-01T23:59:59.000Z

    Canada: International Building Perfor- mance SimulationExternal coupling between building energy simulation andexternal coupling of building energy and air ow modeling

  15. Model Simulating Real Domestic Hot Water Use - Building America...

    Energy Savers [EERE]

    Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Image of a pipe...

  16. Neutron Powder Diffraction and Molecular Simulation Study of...

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

    Powder Diffraction and Molecular Simulation Study of the Structural Evolution of Ammonia Borane from 15 to 340 K. Neutron Powder Diffraction and Molecular Simulation Study of the...

  17. FUEL ASSEMBLY SHAKER TEST SIMULATION

    SciTech Connect (OSTI)

    Klymyshyn, Nicholas A.; Sanborn, Scott E.; Adkins, Harold E.; Hanson, Brady D.

    2013-05-30T23:59:59.000Z

    This report describes the modeling of a PWR fuel assembly under dynamic shock loading in support of the Sandia National Laboratories (SNL) shaker test campaign. The focus of the test campaign is on evaluating the response of used fuel to shock and vibration loads that a can occur during highway transport. Modeling began in 2012 using an LS-DYNA fuel assembly model that was first created for modeling impact scenarios. SNL’s proposed test scenario was simulated through analysis and the calculated results helped guide the instrumentation and other aspects of the testing. During FY 2013, the fuel assembly model was refined to better represent the test surrogate. Analysis of the proposed loads suggested the frequency band needed to be lowered to attempt to excite the lower natural frequencies of the fuel assembly. Despite SNL’s expansion of lower frequency components in their five shock realizations, pretest predictions suggested a very mild dynamic response to the test loading. After testing was completed, one specific shock case was modeled, using recorded accelerometer data to excite the model. Direct comparison of predicted strain in the cladding was made to the recorded strain gauge data. The magnitude of both sets of strain (calculated and recorded) are very low, compared to the expected yield strength of the Zircaloy-4 material. The model was accurate enough to predict that no yielding of the cladding was expected, but its precision at predicting micro strains is questionable. The SNL test data offers some opportunity for validation of the finite element model, but the specific loading conditions of the testing only excite the fuel assembly to respond in a limited manner. For example, the test accelerations were not strong enough to substantially drive the fuel assembly out of contact with the basket. Under this test scenario, the fuel assembly model does a reasonable job of approximating actual fuel assembly response, a claim that can be verified through direct comparison of model results to recorded test results. This does not offer validation for the fuel assembly model in all conceivable cases, such as high kinetic energy shock cases where the fuel assembly might lift off the basket floor to strike to basket ceiling. This type of nonlinear behavior was not witnessed in testing, so the model does not have test data to be validated against.a basis for validation in cases that substantially alter the fuel assembly response range. This leads to a gap in knowledge that is identified through this modeling study. The SNL shaker testing loaded a surrogate fuel assembly with a certain set of artificially-generated time histories. One thing all the shock cases had in common was an elimination of low frequency components, which reduces the rigid body dynamic response of the system. It is not known if the SNL test cases effectively bound all highway transportation scenarios, or if significantly greater rigid body motion than was tested is credible. This knowledge gap could be filled through modeling the vehicle dynamics of a used fuel conveyance, or by collecting acceleration time history data from an actual conveyance under highway conditions.

  18. The verification of a semi-analytical reservoir simulator using a finite difference reservoir simulator

    E-Print Network [OSTI]

    Dube, Hans Gerhardt

    1990-01-01T23:59:59.000Z

    reduction in CPU time and computer memory, when compared to using finite difference reservoir simulators and mainframe computers, to solve the same problem. Development of Computers The advances that have been made in computing power and the improved...THE VERIFICATION OF A SEMI-ANALYTICAL RESERVOIR SIMULATOR USING A FINITE DIFFERENCE RESERVOIR SIMULATOR A Thesis by HANS GERHARDT DUBE Submitted to the Office of Graduate Studies Texas A&M University in partial fulfillment of the requirements...

  19. Driving Simulator for Head-Up Display Evaluation: Driver's Response Time on Accident Simulation Cases

    E-Print Network [OSTI]

    Charissis, V.; Arafat, S.

    Charissis,V. Arafat,S. Chan,W. Christomanos,C. Driving Simulation Conference, DSC Asia/Pacific 2006, Tsukuba, Tokyo, Japan

  20. Communication Simulations for Power System Applications

    SciTech Connect (OSTI)

    Fuller, Jason C.; Ciraci, Selim; Daily, Jeffrey A.; Fisher, Andrew R.; Hauer, Matthew L.

    2013-05-29T23:59:59.000Z

    New smart grid technologies and concepts, such as dynamic pricing, demand response, dynamic state estimation, and wide area monitoring, protection, and control, are expected to require considerable communication resources. As the cost of retrofit can be high, future power grids will require the integration of high-speed, secure connections with legacy communication systems, while still providing adequate system control and security. While considerable work has been performed to create co-simulators for the power domain with load models and market operations, limited work has been performed in integrating communications directly into a power domain solver. The simulation of communication and power systems will become more important as the two systems become more inter-related. This paper will discuss ongoing work at Pacific Northwest National Laboratory to create a flexible, high-speed power and communication system co-simulator for smart grid applications. The framework for the software will be described, including architecture considerations for modular, high performance computing and large-scale scalability (serialization, load balancing, partitioning, cross-platform support, etc.). The current simulator supports the ns-3 (telecommunications) and GridLAB-D (distribution systems) simulators. Ongoing and future work will be described, including planned future expansions for a traditional transmission solver. A test case using the co-simulator, utilizing a transactive demand response system created for the Olympic Peninsula and AEP gridSMART demonstrations, requiring two-way communication between distributed and centralized market devices, will be used to demonstrate the value and intended purpose of the co-simulation environment.