Sample records for oil price base

  1. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crudein predicting quarterly real oil price change. variable real

  2. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crude023 Understanding Crude Oil Prices James D. Hamilton June

  3. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

  4. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    consumption would be reduced and incentives for production increased whenever the price of crude oil

  5. THE IMPACT OF SUBSIDY MECHANISMS ON BIOMASS AND OIL SHALE BASED ELECTRICITY COST PRICES

    E-Print Network [OSTI]

    E. Latőšov; A. Volkova; A. Siirde

    This paper provides electricity cost price estimates for biomass-based CHP plants and oil shale power plants to be constructed before 2013 and 2015 that can serve as references for more detailed case-specific studies. Calcula-tion results give electricity costs prices under different CO2 quota

  6. Oil Prices and Long-Run Risk.

    E-Print Network [OSTI]

    READY, ROBERT

    2011-01-01T23:59:59.000Z

    ??I show that relative levels of aggregate consumption and personal oil consumption provide anexcellent proxy for oil prices, and that high oil prices predict low… (more)

  7. Residential heating oil price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheating oil price

  8. Oil Prices and Terms of Trade.

    E-Print Network [OSTI]

    Mirfacihi, Azar

    2006-01-01T23:59:59.000Z

    ?? One of the central issues in international macroeconomics is relative price movements and their sources. One such price is the price of crude oil.… (more)

  9. Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use

    E-Print Network [OSTI]

    Bertini, Robert L.

    Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use A Review of Empirical Findings Hongwei Dong, Ph.D. Candidate John D. Hunt, Professor John Gliebe, Assistant Professor #12;Framework Oil-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

  10. Criticality Characteristics of Current Oil Price Dynamics

    E-Print Network [OSTI]

    Drozdz, Stanislaw; Oswiecimka, Pawel

    2008-01-01T23:59:59.000Z

    Methodology that recently lead us to predict to an amazing accuracy the date (July 11, 2008) of reverse of the oil price up trend is briefly summarized and some further aspects of the related oil price dynamics elaborated. This methodology is based on the concept of discrete scale invariance whose finance-prediction-oriented variant involves such elements as log-periodic self-similarity, the universal preferred scaling factor lambda=2, and allows a phenomenon of the "super-bubble". From this perspective the present (as of August 22, 2008) violent - but still log-periodically decelerating - decrease of the oil prices is associated with the decay of such a "super- bubble" that has started developing about one year ago on top of the longer-term oil price increasing phase (normal bubble) whose ultimate termination is evaluated to occur in around mid 2010.

  11. Figure 4. World Oil Prices

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

    4. World Oil Prices" " (2007 dollars per barrel)" ,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030...

  12. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    business of having some oil in inventory, which is referredKnowledge of all the oil going into inventory today for salebe empty, because inventories of oil are essential for the

  13. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    Figure 5. Monthly oil production for Iran, Iraq, and Kuwait,day. Monthly crude oil production Iran Iraq Kuwait Figure 6.and the peak in U.S. oil production account for the broad

  14. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    per day. Monthly crude oil production Iran Iraq KuwaitEIA Table 1.2, “OPEC Crude Oil Production (Excluding Lease2008, from EIA, “Crude Oil Production. ” Figure 16. U.S.

  15. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    Natural Gas, Heating Oil and Gasoline,” NBER Working Paper.2006. “China’s Growing Demand for Oil and Its Impact on U.S.and Income on Energy and Oil Demand,” Energy Journal 23(1),

  16. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2007”. comparison, Mexico used 6.6— Chinese oil consumption17. Oil production from the North Sea, Mexico’s Cantarell,Mexico, Italy, France, Canada, US, and UK. Figure 10. Historical Chinese oil

  17. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    and Income on Energy and Oil Demand,” Energy Journal 23(1),2006. “China’s Growing Demand for Oil and Its Impact on U.S.in the supply or demand for oil itself could be regarded as

  18. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2007”. comparison, Mexico used 6.6— Chinese oil consumption17. Oil production from the North Sea, Mexico’s Cantarell,

  19. Crude Oil Prices

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

    the acquisition date. See the Explanatory Notes section for additional detail. Sources: Energy Information Administration, Form FEA-F701-M-0, "Transfer Pricing Report," January...

  20. Crude oil prices and petroleum inventories : remedies for a broken oil price forecasting model.

    E-Print Network [OSTI]

    Grimstad, Dan

    2007-01-01T23:59:59.000Z

    ??The empirical relationship between crude oil prices and petroleum inventories has been exploited in a number of short-term oil price forecasting models. Some of the… (more)

  1. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    an alternative investment strategy to buying oil today andinvestments necessary to catch up. This was the view o?ered by oilinvestment strategy. date t) in order to purchase a quantity Q barrels of oil

  2. Oil Price and the Dollar Virginie Coudert

    E-Print Network [OSTI]

    Boyer, Edmond

    Oil Price and the Dollar Virginie Coudert , Val´erie Mignon , Alexis Penot§ 6th April 2005 Abstract The aim of this paper is to test whether a stable long-term relationship exists between oil prices and causality study between the two variables. Our results indicate that causality runs from oil prices

  3. Oil Price Shocks: Causes and Consequences

    E-Print Network [OSTI]

    Lutz Kilian; Key Words

    Research on oil markets conducted during the last decade has challenged long-held beliefs about the causes and consequences of oil price shocks. As the empirical and theoretical models used by economists have evolved, so has our understanding of the determinants of oil price shocks and of the interaction between oil markets and the global economy. Some of the key insights are that the real price of oil is endogenous with respect to economic fundamentals, and that oil price shocks do not occur ceteris paribus. This makes it necessary to explicitly account for the demand and supply shocks underlying oil price shocks when studying their transmission to the domestic economy. Disentangling cause and effect in the relationship between oil prices and the economy requires structural models of the global economy including oil and other commodity markets.

  4. Oil Price Volatility

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReservesYear Jan Feb0

  5. Crude Oil Prices

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs (MillionExpectedChangesAdministration Cost and

  6. Residential heating oil price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheating oil

  7. Residential heating oil price increases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oil price

  8. Residential heating oil price increases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oil price9,

  9. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The

  10. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The6,

  11. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The6,05,

  12. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases

  13. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreasesheating

  14. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price

  15. Residential heating oil prices decline

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil price

  16. Fact Sheet: Gas Prices and Oil Consumption Would Increase Without...

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

    Gas Prices and Oil Consumption Would Increase Without Biofuels Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Secretary of Energy Samuel W. Bodman and...

  17. What's Driving Oil Prices? James L. Smith

    E-Print Network [OSTI]

    O'Donnell, Tom

    Issues in Energy Federal Reserve Bank of Dallas November 2, 2006 The Price of OPEC Oil ($/bbl) $0 $20 $40;8 DIFFERENCES AMONG OPEC MEMBERS Proved Oil Crude Oil Reserves to GDP Reserves Production Production Ratio Member $ per capita bbl per capita bbl per capita years Algeria 3,113 373 15 25 Indonesia 1,290 20 2 11

  18. Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks

    E-Print Network [OSTI]

    Garousi, Vahid

    Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks Apostolos Serletisy in macroeconometrics and ...nancial econometrics to investigate the e¤ects of oil price shocks and uncertainty about the price of oil on the level of economic activity. JEL classi...cation: G31, E32, C32. Keywords: Oil price

  19. The Weak Tie Between Natural Gas and Oil Prices

    E-Print Network [OSTI]

    Ramberg, David J.

    Several recent studies establish that crude oil and natural gas prices are cointegrated, so that changes in the price of oil appear to translate into changes in the price of natural gas. Yet at times in the past, and very ...

  20. A new era for oil prices

    E-Print Network [OSTI]

    Mitchell, John V.

    2006-01-01T23:59:59.000Z

    Since 2003 the international oil market has been moving away from the previous 20-year equilibrium in which prices fluctuated around $25/bbl (in today's dollars). The single most important reason is that growing demand has ...

  1. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1996...

  2. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1997...

  3. Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008-9

    E-Print Network [OSTI]

    1 Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008 of macroeconomic business cycles on six metals traded on the London Metal Exchange and oil prices. Reduced GDP oil prices (as a proxy for energy inputs in metals production) are derived. The estimated trend

  4. The relationship between crude oil and natural gas spot prices and its stability over time

    E-Print Network [OSTI]

    Ramberg, David J. (David John)

    2010-01-01T23:59:59.000Z

    The historical basis for a link between crude oil and natural gas prices was examined to determine whether one has existed in the past and exists in the present. Physical bases for a price relationship are examined. An ...

  5. Oil Price Trackers Inspired by Immune Memory

    E-Print Network [OSTI]

    Wilson, WIlliam; Aickelin, Uwe

    2010-01-01T23:59:59.000Z

    We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. The resulting sequence of trackers, ordered in time, can be used as a forecasting tool. Examination of the pool of evolving trackers also provides valuable insight into the properties of the crude oil market.

  6. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    Form EIA-182, "Domestic Crude Oil First Purchase Report." 22. Domestic Crude Oil First Purchase Prices for Selected Crude Streams 44 Energy Information Administration...

  7. Oil prices and government bond risk premiums Herv Alexandre*

    E-Print Network [OSTI]

    Boyer, Edmond

    Oil prices and government bond risk premiums By Hervé Alexandre*ş Antonin de Benoist * Abstract : This article analyses the impact of oil price on bond risk premiums issued by emerging economies. No empirical study has yet focussed on the effects of the oil price on government bond risk premiums. We develop

  8. The Impact of Oil Prices on the Air Transportation Industry

    E-Print Network [OSTI]

    Hill, Wendell T.

    The Impact of Oil Prices on the Air Transportation Industry Final Report Prepared by: John Hansman................................................................................................47 3 EVALUATING THE EFFECTS OF OIL PRICE CHANGE ON THE US DOMESTIC CARGO INDUSTRY .................48 3............................................................................................................................74 4 OIL PRICE IMPACTS IN GENERAL AVIATION

  9. Crude oil prices: Are our oil markets too tight?

    SciTech Connect (OSTI)

    Simmons, M.R. [Simmons and Co. International, Houston, TX (United States)

    1997-02-01T23:59:59.000Z

    The answer to the question posed in the title is that tightness in the market will surely prevail through 1997. And as discussed herein, with worldwide demand expected to continue to grow, there will be a strong call on extra oil supply. Meeting those demands, however, will not be straightforward--as many observers wrongly believe--considering the industry`s practice of maintaining crude stocks at ``Just in time`` inventory levels. Further, impact will be felt from the growing rig shortage, particularly for deepwater units, and down-stream capacity limits. While these factors indicate 1997 should be another good year for the service industry, it is difficult to get any kind of consensus view from the oil price market. With most observers` information dominated by the rarely optimistic futures price of crude, as reflected by the NYMEX, the important fact is that oil prices have remained stable for three years and increased steadily through 1996.

  10. Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices Ahmed distributed lags (NARDL) mod- el to examine the pass-through of crude oil prices into gasoline and natural gas the possibility to quantify the respective responses of gasoline and natural gas prices to positive and negative

  11. Residential heating oil price increases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oil

  12. Residential heating oil prices decline

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheatingheating oil

  13. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheatingheating oil

  14. Residential heating oil price increases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oilheating

  15. Residential heating oil prices available

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating

  16. Residential heating oil prices decline

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheatingheating

  17. Residential heating oil prices decline

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil

  18. Residential heating oil prices decline

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil pricepropane

  19. Residential heating oil prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil

  20. Residential heating oil prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5, 2014

  1. Residential heating oil prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5, 2014heating

  2. Residential heating oil prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,

  3. Residential heating oil prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,3, 2014

  4. Residential heating oil prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,3,

  5. Residential heating oil prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,3,5, 2014

  6. Residential heating oil prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,3,5, 20144,

  7. Residential heating oil prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,3,5,

  8. Residential heating oil prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,3,5,heating

  9. Oil Price Trackers Inspired by Immune Memory William Wilson , Phil Birkin , and Uwe Aickelin

    E-Print Network [OSTI]

    Aickelin, Uwe

    Oil Price Trackers Inspired by Immune Memory William Wilson , Phil Birkin , and Uwe Aickelin School concepts for an immune inspired algorithm to evaluate and predict oil price time se- ries data Analysis of oil price trends The price of WTI crude oil (a world marker price for oil price movements

  10. World Oil Prices in AEO2007 (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01T23:59:59.000Z

    Over the long term, the Annual Energy Outlook 2007 (AEO) projection for world oil prices -- defined as the average price of imported low-sulfur, light crude oil to U.S. refiners -- is similar to the AEO2006 projection. In the near term, however, AEO2007 projects prices that are $8 to $10 higher than those in AEO2006.

  11. Role of speculation in short-term US oil crude prices and gasoline price variability of the 2000s and the role of monetary policy price stability interventions.

    E-Print Network [OSTI]

    Norris, Leah C.

    2010-01-01T23:59:59.000Z

    ?? The objectives of this study were to analyze the short-run impact of futures contract prices on crude oil prices, the impact of crude oil… (more)

  12. World Oil Price Cases (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

    World oil prices in Annual Energy Outlook 2005 are set in an environment where the members of OPEC (Organization of the Petroleum Exporting Countries) are assumed to act as the dominant producers, with lower production costs than other supply regions or countries. Non-OPEC oil producers are assumed to behave competitively, producing as much oil as they can profitability extract at the market price for oil. As a result, the OPEC member countries will be able effectively to set the price of oil when they can act in concert by varying their aggregate production. Alternatively, OPEC members could target a fixed level of production and let the world market determine the price.

  13. Lower Oil Prices: A Reason to Give Thanks GENE EPSTEIN

    E-Print Network [OSTI]

    California at Davis, University of

    Lower Oil Prices: A Reason to Give Thanks By GENE EPSTEIN Nov. 29, 2014 1:31 a.m. ET I give thanks thanks for an oil price that fell below $70 a barrel Friday, mainly because it bodes well for general early this year ("Here Comes $75 Oil," March 31). Amy Jaffe, executive director of energy

  14. World Oil Prices in AEO2006 (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

    World oil prices in the Annual Energy Outlook 2006 (AEO) reference case are substantially higher than those in the AEO2005 reference case. In the AEO2006 reference case, world crude oil prices, in terms of the average price of imported low-sulfur, light crude oil to U.S. refiners, decline from current levels to about $47 per barrel (2004 dollars) in 2014, then rise to $54 per barrel in 2025 and $57 per barrel in 2030. The price in 2025 is approximately $21 per barrel higher than the corresponding price projection in the AEO2005 reference case.

  15. The effects of oil prices and other economic indicators on housing prices in Calgary, Canada

    E-Print Network [OSTI]

    Padilla, Mercedes A. (Mercedes Angeles)

    2005-01-01T23:59:59.000Z

    This thesis aims to answer: (1) to what extent can oil prices and other economic indicators predict the changes in housing prices and rent in the Calgary single family housing market and (2) to determine what the lag time ...

  16. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  17. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  18. CRUDE OIL PRICE SHOCKS AND GROSS DOMESTIC PRODUCT.

    E-Print Network [OSTI]

    Hernandez, Jordan

    2012-01-01T23:59:59.000Z

    ??This study uses ordinary least squares estimation to test multivariate models in order to find out whether or not crude oil price shocks are contractionary… (more)

  19. Crude Oil and Gasoline Price Monitoring

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. MichaelDecadeNet Withdrawals1992What drives crude oil prices? April

  20. Oil resources: the key to prosperity or to poverty? : Influence of oil price shocks on spending of oil revenues.

    E-Print Network [OSTI]

    Selivanova, Olga

    2008-01-01T23:59:59.000Z

    ??Abundant natural resources, in particular oil, play an important role in the economics of many countries. The oil price shocks that have been happening continuously… (more)

  1. Metabolic paths in world economy and crude oil price

    E-Print Network [OSTI]

    Picciolo, Francesco; Ruzzenenti, Franco

    2015-01-01T23:59:59.000Z

    In 1983 Hamilton demonstrated the correlation between the price of oil and gross national product for the U.S. economy. A prolific literature followed exploring the potential correlation of oil prices with other important indices like inflation, industrial production, and food prices, using increasingly refined tools. Our work sheds new light on the role of oil prices in shaping the world economy by investigating the metabolic paths of value across trade between 1960 and 2010, by means of Markov Chain analysis. We show that the interdependence of countries' economies are strictly (anti)correlated to the price of oil. We observed a remarkably high correlation of 0.85, unmatched by any former study addressing the correlation between oil price and major economic indicators.

  2. Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01T23:59:59.000Z

    This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the cr...

  3. OIL AND NATURAL GAS PRICES: TOGETHER AGAIN? 1 Prakash Loungani (International Monetary Fund)

    E-Print Network [OSTI]

    Akito Matsumoto (international Monetary Fund

    Crude oil and natural gas are important energy sources. Their prices in the U.S. are volatile and nominal rigidity does not play an important role. In addition, the law of one price between German and the U.S. markets holds quite well in the sense that the relative price exhibits stationarity. However, the natural gas prices in the two markets have diverged recently. We show that this is due to structural changes in the U.S. natural gas market rather than long term based contract prices in Germany. Nonetheless we conjecture future recovery of the law of one price.

  4. Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries

    E-Print Network [OSTI]

    LeBlanc, Michael; Chinn, Menzie David

    2004-01-01T23:59:59.000Z

    Do High Oil Prices Presage Inflation? The Evidence from G-5to be more sensitive to oil prices than in the U.S. , isa dollar denominated oil price. References Blanchard O.J.

  5. The Price of Oil Risk Steven D. Baker, Bryan R. Routledge,

    E-Print Network [OSTI]

    The Price of Oil Risk Steven D. Baker, Bryan R. Routledge, September 2011 [December 20, 2012 multiple goods. We use this optimal consumption allocation to derive a pricing kernel and the price of oil for oil. As an example, in a calibrated version of our model we show how rising oil prices and falling oil

  6. Fractality feature in oil price fluctuations

    E-Print Network [OSTI]

    Momeni, M; Talebi, K

    2008-01-01T23:59:59.000Z

    The scaling properties of oil price fluctuations are described as a non-stationary stochastic process realized by a time series of finite length. An original model is used to extract the scaling exponent of the fluctuation functions within a non-stationary process formulation. It is shown that, when returns are measured over intervals less than 10 days, the Probability Density Functions (PDFs) exhibit self-similarity and monoscaling, in contrast to the multifractal behavior of the PDFs at macro-scales (typically larger than one month). We find that the time evolution of the distributions are well fitted by a Levy distribution law at micro-scales. The relevance of a Levy distribution is made plausible by a simple model of nonlinear transfer

  7. Evidence of randomness in United States spot oil prices

    SciTech Connect (OSTI)

    Howard, B.W.

    1989-01-01T23:59:59.000Z

    This study investigates U.S. crude oil spot-market prices to determine if they were cyclical, autoregressive, or random in nature. The fact that oil-price volatility emerged only with the rise of spot markets meant that data for this type of an analysis were not previously available. The hypothesis tested was that U.S. crude oil price changes are neither cyclical nor autocorrelated, and are, therefore, random. Daily data on U.S. crude oil spot market prices (for the period of December 3, 1984 to November 4, 1988) were analyzed using spectral analysis; this converts time-series data into a frequency series, where it can be analyzed using more-powerful statistical methods. The spectral results of the price series gave a maximum power spectrum of 0.026, which is considerably smaller than the significance level of 0.052, considered acceptable using a 99% confidence level. The conclusion reached was that there was no significant cyclicality or autocorrelation in the data. This indicated that the U.S. crude oil prices are efficient, and that it would not be possible to predict crude oil price changes by using historical price data, seasonality, or business cycles.

  8. Essays on oil price shocks and financial markets 

    E-Print Network [OSTI]

    Wang, Jiayue

    2012-06-26T23:59:59.000Z

    This thesis is composed of three chapters, which can be read independently. The first chapter investigates how oil price volatility affects the investment decisions for a panel of Japanese firms. The model is estimated ...

  9. Table 21. Domestic Crude Oil First Purchase Prices

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

    19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  10. Past, present and future evolution of oil prices

    E-Print Network [OSTI]

    Corsetti, Manuel

    2010-01-01T23:59:59.000Z

    This thesis reviews how oil price has evolved throughout time since it was discovered and commercially exploited in 1859 in Pennsylvania. Rather than a pure economic study, this thesis illustrates how major historic and ...

  11. Economic Effects of High Oil Prices (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

    The Annual Energy Outlook 2006 projections of future energy market conditions reflect the effects of oil prices on the macroeconomic variables that affect oil demand, in particular, and energy demand in general. The variables include real gross domestic product (GDP) growth, inflation, employment, exports and imports, and interest rates.

  12. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Cost Report." Figure Energy Information Administration Petroleum Marketing Annual 1996 3 Table 2. U.S. Refiner Prices of Petroleum Products to End Users (Cents per Gallon...

  13. On the relationship between world oil prices and GCC stock markets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    On the relationship between world oil prices and GCC stock markets Mohamed El Hedi Arouri Associate ABSTRACT We provide comprehensive evidence on the relationship between oil prices and stock mar- kets to be more sensitive to negative than to positive oil shocks. Keywords: oil prices, stock markets, GCC

  14. Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...

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

    the acquisition date. See the Explanatory Notes section for additional detail. Sources: Energy Information Administration, Form FEA-F701-M-0, "Transfer Pricing Report," January...

  15. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Energy Information Administration, Form FEA-P110-M-1, "Refiners' Monthly Cost Allocation Report," January 1978 through June 1978; Form ERA-49, "Domestic Crude Oil Entitlements...

  16. Using futures prices to filter short-term volatility and recover a latent, long-term price series for oil

    E-Print Network [OSTI]

    Herce, Miguel Angel

    2006-01-01T23:59:59.000Z

    Oil prices are very volatile. But much of this volatility seems to reflect short-term,transitory factors that may have little or no influence on the price in the long run. Many major investment decisions should be guided ...

  17. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    Form EIA-182, "Domestic Crude Oil First Purchase Report." 23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration Petroleum...

  18. EIA: High Oil Prices, GHG Controls Would Help Clean Energy Grow...

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

    EIA: High Oil Prices, GHG Controls Would Help Clean Energy Grow EIA: High Oil Prices, GHG Controls Would Help Clean Energy Grow April 1, 2009 - 11:35am Addthis The growth of...

  19. Oil and natural gas reserve prices, 1982-2002 : implications for depletion and investment cost

    E-Print Network [OSTI]

    Adelman, Morris Albert

    2003-01-01T23:59:59.000Z

    A time series is estimated of in-ground prices - as distinct from wellhead prices ? of US oil and natural gas reserves for the period 1982-2002, using market purchase and sale transaction information. The prices are a ...

  20. Econometric Modelling of World Oil Supplies: Terminal Price and the Time to Depletion

    E-Print Network [OSTI]

    Mohaddes, Kamiar

    2012-03-02T23:59:59.000Z

    This paper develops a novel approach by which to identify the price of oil at the time of depletion; the so-called terminal price of oil. It is shown that while the terminal price is independent of both GDP growth and the price elasticity of energy...

  1. Summary Statistics Table 1. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    "Monthly Foreign Crude Oil Acquisition Report"; and Form EIA-14, "Refiners' Monthly Cost Report." 0 6 12 18 24 30 J F M A M J J A S O N D 1998 Dollars per Barrel RAC First...

  2. OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING COUNTRIES

    E-Print Network [OSTI]

    Boyer, Edmond

    OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING://www.economie.polytechnique.edu/ mailto:chantal.poujouly@polytechnique.edu hal-00822070,version1-14May2013 #12;1 Oil price impact Khaled Guesmi3 Abstract The aim of this paper is to study the degree of interdependence between oil price

  3. On the relationship between the prices of oil and the precious metals

    E-Print Network [OSTI]

    Boyer, Edmond

    EA 4272 On the relationship between the prices of oil and the precious metals: Revisiting,version1-17Apr2014 #12;On the relationship between the Prices of oil and the Precious Metals: Revisiting/US dollar exchange rates, the S&P500 equity indices, and the prices of WTI crude oil and the precious metals

  4. Economically rational expectations theory: evidence from the WTI oil price survey data

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Economically rational expectations theory: evidence from the WTI oil price survey data Georges PRAT of the economically rational expectation theory, this article shows how an expert chooses an optimal oil price traditional processes explains satisfactorily oil price expectations, which appear to exert a stabilizing

  5. Is There Evidence of Super Cycles in Oil Prices?* Abdel M. Zellou and John T. Cuddington**

    E-Print Network [OSTI]

    Is There Evidence of Super Cycles in Oil Prices?* Abdel M. Zellou and John T. Cuddington** March 22: is there evidence of super cycles in crude oil prices? On one hand, one might expect the strong demand associated analysis suggests that there is strong evidence of super cycles in oil prices in the post-WWII period

  6. The oil price really is a speculative bubble

    E-Print Network [OSTI]

    Eckaus, Richard S.

    2008-01-01T23:59:59.000Z

    The oil price really is a speculative bubble. Yet only recently has the U.S. Congress, for example, showed recognition that this might even be a possibility. In general there seems to be a preference for the claim that the ...

  7. Does Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks with another spike in gasoline

    E-Print Network [OSTI]

    Ahmad, Sajjad

    Does Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks gasoline price spike, Congress summoned the executives of the Big Oil companies to testify about their enormous profits. Some commentators and pundits characterize the pricing policy of Big Oil as "price

  8. 1. (F11PR) You are given: Year Oil Forward Price Zero Coupon ...

    E-Print Network [OSTI]

    Jeff Beckley

    2013-04-23T23:59:59.000Z

    Apr 23, 2013 ... The price of 2 year oil swap which provides two barrels of oil at the end of one year and five barrels of oil at the end of two years is 137.60.

  9. Oil price shocks and their short-and long-term effects on the Chinese economy Weiqi Tang a

    E-Print Network [OSTI]

    Matthews, Adrian

    Oil price shocks and their short- and long-term effects on the Chinese economy Weiqi Tang a , Libo-correction model Oil-price shocks Price transmission mechanisms Investment Output Producer/consumer price index of oil-price shocks for the developed economies. However, there has been a lack of similar empirical

  10. Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets in gcc

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock to oil price shocks. To account for the fact that stock markets may respond nonlinearly to oil price

  11. Residential heating oil prices virtually unchanged

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5,3,5,heating4

  12. Microsoft Word - high-oil-price.doc

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13, 19982,Short Term Energy

  13. Estimating the effect of future oil prices on petroleum engineering project investment yardsticks.

    E-Print Network [OSTI]

    Mendjoge, Ashish V

    2004-09-30T23:59:59.000Z

    did not reflect the true volatility in crude oil prices. The name posted oil price was derived from a sheet that was posted in a producing field. The WTI price data were collected from Energy Information Administration (EIA) website25. EIA... projects; we correlated historical expenses data with oil price. Figs. 3.3 and 3.4 are graphs of the production and drilling costs correlations with oil price. The historical oilfield drilling and production data was taken from EIA website and the Energy...

  14. Natural Gas and Crude Oil Prices in AEO (released in AEO2009)

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    If oil and natural gas were perfect substitutes in all markets where they are used, market forces would be expected to drive their delivered prices to near equality on an energy-equivalent basis. The price of West Texas Intermediate (WTI) crude oil generally is denominated in terms of barrels, where 1 barrel has an energy content of approximately 5.8 million Btu. The price of natural gas (at the Henry Hub), in contrast, generally is denominated in million Btu. Thus, if the market prices of the two fuels were equal on the basis of their energy contents, the ratio of the crude oil price (the spot price for WTI, or low-sulfur light, crude oil) to the natural gas price (the Henry Hub spot price) would be approximately 6.0. From 1990 through 2007, however, the ratio of natural gas prices to crude oil prices averaged 8.6; and in the Annual Energy Outlook 2009 projections from 2008 through 2030, it averages 7.7 in the low oil price case, 14.6 in the reference case, and 20.2 in the high oil price case.

  15. Update: World average retail gasoline and diesel prices. Crude oil falls, but consumer taxes rise

    SciTech Connect (OSTI)

    Not Available

    1994-03-21T23:59:59.000Z

    Crude oil prices plunged to five year lows late in 1993. However, examination of consumer petroleum product prices around the world reveals that consumers in many countries did not enjoy a consequent drop.

  16. Factors Affecting the Relationship between Crude Oil and Natural Gas Prices (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01T23:59:59.000Z

    Over the 1995-2005 period, crude oil prices and U.S. natural gas prices tended to move together, which supported the conclusion that the markets for the two commodities were connected. Figure 26 illustrates the fairly stable ratio over that period between the price of low-sulfur light crude oil at Cushing, Oklahoma, and the price of natural gas at the Henry Hub on an energy-equivalent basis.

  17. A Non Parametric Model for the Forecasting of the Venezuelan Oil Prices

    E-Print Network [OSTI]

    Costanzo, Sabatino; Dehne, Wafaa; Prato, Hender

    2007-01-01T23:59:59.000Z

    A neural net model for forecasting the prices of Venezuelan crude oil is proposed. The inputs of the neural net are selected by reference to a dynamic system model of oil prices by Mashayekhi (1995, 2001) and its performance is evaluated using two criteria: the Excess Profitability test by Anatoliev and Gerko (2005) and the characteristics of the equity curve generated by a trading strategy based on the neural net predictions. ----- Se introduce aqui un modelo no parametrico para pronosticar los precios del petroleo Venezolano cuyos insumos son seleccionados en base a un sistema dinamico que explica los precios en terminos de dichos insumos. Se describe el proceso de recoleccion y pre-procesamiento de datos y la corrida de la red y se evaluan sus pronosticos a traves de un test estadistico de predictibilidad y de las caracteristicas del Equity Curve inducido por la estrategia de compraventa bursatil generada por dichos pronosticos.

  18. Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh?.

    E-Print Network [OSTI]

    Akram, Muhammad

    2012-01-01T23:59:59.000Z

    ?? This paper analyzes empirically the effect of crude oil price change on the economic growth of Indian-Subcontinent (India, Pakistan and Bangladesh). We use a… (more)

  19. Effects of futures market manipulation on crude oil prices: An empirical examination.

    E-Print Network [OSTI]

    Elhelou, Rami

    2011-01-01T23:59:59.000Z

    ??Crude oil prices moved irregularly in the period leading to the financial meltdown in the beginning of 2008. This research paper deals with the explaining… (more)

  20. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    Information AdministrationPetroleum Marketing Annual 1999 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  1. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  2. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 245 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  3. The level crossing analysis of German stock market index (DAX) and daily oil price time series

    E-Print Network [OSTI]

    Shayeganfar, F; Peinke, J; Tabar, M Reza Rahimi

    2010-01-01T23:59:59.000Z

    The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\

  4. Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chbre**

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chébre. In this paper we present a method to calculate the prices of robustness and reblending through a robust real-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider

  5. World Oil Prices and Production Trends in AEO2008 (released in AEO2008)

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    Annual Energy Outlook 2008 (AEO) defines the world oil price as the price of light, low-sulfur crude oil delivered in Cushing, Oklahoma. Since 2003, both "above ground" and "below ground" factors have contributed to a sustained rise in nominal world oil prices, from $31 per barrel in 2003 to $69 per barrel in 2007. The AEO2008 reference case outlook for world oil prices is higher than in the AEO2007 reference case. The main reasons for the adoption of a higher reference case price outlook include continued significant expansion of world demand for liquids, particularly in non-OECD (Organization for Economic Cooperation and Development) countries, which include China and India; the rising costs of conventional non-OPEC (Organization of the Petroleum Exporting Countries) supply and unconventional liquids production; limited growth in non-OPEC supplies despite higher oil prices; and the inability or unwillingness of OPEC member countries to increase conventional crude oil production to levels that would be required for maintaining price stability. The Energy Information Administration will continue to monitor world oil price trends and may need to make further adjustments in future AEOs.

  6. On the shortterm influence of oil price changes on stock markets in GCC countries: linear and nonlinear analyses

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 On the shortterm influence of oil price changes on stock markets in GCC countries the short-run relationships between oil prices and GCC stock markets. Since GCC countries are major world energy market players, their stock markets may be susceptible to oil price shocks. To account

  7. Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Forecasting the conditional volatility of oil spot and futures prices with structural breaks of oil spot and futures prices using three GARCH-type models, i.e., linear GARCH, GARCH with structural that oil price fluctuations influence economic activity and financial sector (e.g., Jones and Kaul, 1996

  8. Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Johnson. “Gas Wars: Retail Gasoline Price Fluctua- tions”,were collected on retail gasoline prices, wholesale (rack)ancillary information. Retail gasoline prices, RET AIL mt ,

  9. World Oil Prices and Production Trends in AEO2009 (released in AEO2009)

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    The oil prices reported in Annual Energy Outlook 2009 (AEO) represent the price of light, low-sulfur crude oil in 2007 dollars. Projections of future supply and demand are made for "liquids," a term used to refer to those liquids that after processing and refining can be used interchangeably with petroleum products. In AEO2009, liquids include conventional petroleum liquids -- such as conventional crude oil and natural gas plant liquids -- in addition to unconventional liquids, such as biofuels, bitumen, coal-to-liquids (CTL), gas-to-liquids (GTL), extra-heavy oils, and shale oil.

  10. World Oil Prices and Production Trends in AEO2010 (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01T23:59:59.000Z

    In Annual Energy Outlook 2010, the price of light, low-sulfur (or "sweet") crude oil delivered at Cushing, Oklahoma, is tracked to represent movements in world oil prices. The Energy Information Administration makes projections of future supply and demand for "total liquids,"" which includes conventional petroleum liquids -- such as conventional crude oil, natural gas plant liquids, and refinery gain -- in addition to unconventional liquids, which include biofuels, bitumen, coal-to-liquids (CTL), gas-to-liquids (GTL), extra-heavy oils, and shale oil.

  11. State heating oil and propane program: Final report. Survey of No.2 heating oil and propane prices at the retail level, October 1997 through March 1998

    SciTech Connect (OSTI)

    NONE

    1998-11-01T23:59:59.000Z

    The Energy Efficiency Division of the Vermont Department of Public Service (DPS) monitored the price and inventory of residential heating oil and propane during the 1997--98 heating season under a grant from the US Department of Energy`s Energy Information Administration (EIA). DPS staff collected data biweekly between October 5, 1997 and March 16, 1998 on the retail price of {number_sign}2 home heating oil and propane by telephone survey. Propane price quoted was based on the rate for a residential home heating customer using 1,000+ per year. The survey included a sample of fuel dealers selected by the EIA, plus additional dealers and fuels selected by the DPS. The EIA weighted, analyzed, and reported the data collected from their sample.

  12. Leverage vs. Feedback: Which Effect Drives the Oil Market? Sofiane Aboura

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    on the WTI crude oil spot price. An increase in the volatility subsequent to an increase in the oil price (i rising oil prices. However, this effect is amplified by an increase in the oil price subsequent-lag relation between the oil price and its volatility is determinant for any type of trading strategy based

  13. A reexamination of the crude oil price-unemployment relationship in the United States

    SciTech Connect (OSTI)

    Uri, N.D. [Economic Research Service, Washington, DC (United States). Natural Resources and Environment Div.; Boyd, R. [Ohio Univ., Athens, OH (United States). Dept. of Economics

    1996-04-01T23:59:59.000Z

    This study begins by asking whether fluctuations in the price of crude oil have affected employment and the rate of unemployment in the US. After reviewing previous assessments of the issue, the existence of an empirical relationship between the rate of unemployment and crude oil price volatility is established using Granger causality. Subsequently, the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable impact of a percentage change in the real price of crude oil on the change in unemployment is exhausted. Finally, the structural stability of the functional relationship between the change in unemployment and the volatility of the price of crude oil and the percentage change in gross national product is examined.

  14. The impact of crude-oil price volatility on agricultural employment in the United States

    SciTech Connect (OSTI)

    Uri, N.D. [Dept. of Agriculture, Washington, DC (United States)

    1995-12-31T23:59:59.000Z

    This study focuses on the impact of fluctuations in the price of crude oil on agricultural employment in the United States. After reviewing previous assessments of the issue, the existence of an empirical relationship between agricultural employment and crude oil price volatility is established using Granger causality. Subsequently, the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable impacts of a percentage change in the real price of crude oil on the change in agricultural employment are exhausted. Finally, the structural stability of the functional relationship between the change in agricultural employment and the volatility of the price of crude oil, the percentage changes in expected net farm income, realized technological innovation, and the wage rate is examined.

  15. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    45.5 49.2 W W 44.5 45.4 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  16. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    55.1 47.1 W W 55.1 46.2 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  17. Oil futures prices in a production economy with investment constraints

    E-Print Network [OSTI]

    Kogan, Leonid

    2008-01-01T23:59:59.000Z

    We document a new stylized fact regarding the term structure of futures volatility. We show that the relationship between the volatility of futures prices and the slope of the term structure of prices is non-monotone and ...

  18. Simulation study of the impact of world oil prices on the development of the Libyan economy

    SciTech Connect (OSTI)

    Abosedra, S.S.

    1984-01-01T23:59:59.000Z

    The goal of this study was to determine quantitatively how sensitive and vulnerable the Libyan economy's aggregates are to fluctuations in world oil prices. In order to achieve the goal, a macroeconomic model of the Libyan economy was constructed using annual data from 1962-1978. The model contains 36 relations, of which 19 are behavioral equations and 17 are identities. The model was validated by both historical simulation and a one-period out-of-sample forecast. Having established the predictive ability of the model, alternative future scenarios of the Libyan economy were examined from 1980-1987 by performing an ex-ante simulation for this period. This simulation was divided into two sections. The first covers the period 1980-1983, for which actual data for Libyan oil prices and the volume of Libyan oil exports are available. The second section covers the period 1984-1987. In this section the future of the Libyan economy was simulated under a basic price scenario which reflects the most likely forecast regarding the world oil price level from 1984-1987. In addition, a sensitivity analysis was performed by establishing a new scenario for the world oil price level from 1984-1987. A comparison the results of these simulations shows the effects resulting from changes in the world oil price level on the Libyan economy.

  19. Mick Jagger Explains High Crude Oil Prices How can Mick Jagger of The Rolling Stones help explain the current high crude oil

    E-Print Network [OSTI]

    Ahmad, Sajjad

    Mick Jagger Explains High Crude Oil Prices How can Mick Jagger of The Rolling Stones help explain the current high crude oil price? It does not relate to Mick' short stint at the London School of Economics, the oil industry operates on the same principle, at least in the short run. The industry relies on proven

  20. Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices

    E-Print Network [OSTI]

    Tunçel, Levent

    Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices R. Shioda L. Tun for pricing a product line with several customer segments under the assumption that customers' product choices utility model and formulate it as a mixed-integer programming problem, design heuristics and valid cuts

  1. Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over the Last Decade

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over This article extends the understanding of oil­stock market relationships over the last turbulent decade. Unlike returns to oil price changes differ greatly depending on the activity sector. In the out

  2. EIS-0016: Cumulative Production/Consumption Effects of the Crude Oil Price Incentive Rulemakings, Programmatic

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy prepared this Final Statement to FEA-FES-77-7 to assess the environmental and socioeconomic implications of a rulemaking on crude oil pricing incentives as pertains to the full range of oil production technologies (present as well as anticipated.)

  3. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    January 1983 forward; Form EIA-460, "Petroleum Industry Monthly Report for Product Prices," source for backcast estimates prior to January 1983. 36 Energy Information...

  4. Asymptotic utility-based pricing and hedging for exponential utility

    E-Print Network [OSTI]

    Kallsen, Jan

    Asymptotic utility-based pricing and hedging for exponential utility Jan Kallsen Christian deals with pricing and hedging based on utility indifference for exponential utility. We consider order approximation the utility indifference price and the corresponding hedge can be determined from

  5. The first oil price explosion 1971-1974

    E-Print Network [OSTI]

    Adelman, Morris Albert

    1990-01-01T23:59:59.000Z

    The 1970 price of Saudi Light crude was $1.21, of which 89 cents was excise tax. By end-1974, the price was about $11, of which 30-50 cents was a fee paid to the former owners, now operators. The detailed history of the ...

  6. Final report of the Rhode Island State Energy Office on residential no. 2 heating oil and propane prices [SHOPP

    SciTech Connect (OSTI)

    McClanahan, Janice

    2001-04-01T23:59:59.000Z

    Summary report on residential No.2 heating oil and propane prepared under grant. Summarizes the monitoring and analysis of heating oil and propane prices from October 2000 through March 2001.

  7. Tribological Investigation of Mahua Oil Based Lubricant for Maintenance Applications

    E-Print Network [OSTI]

    Amit Suhane; A. Rehman; H. K. Khaira

    Limited crude reserves, consistently rising oil prices, unsafe disposal of the harmful lubricants and its guaranteed adverse aftereffects has increased concern for replenishing the environment. Development of environmental friendly lubricants and its appropriate usage is an option of prime importance which can overcome such problems. This paper investigates the prospects of Mahua oil based lubricant for maintenance applications. Mahua oil is blended with conventional gear oil (90T) in different ratios. Tribo pair used is plain carbon steel cylindrical pin and mild steel disc. Friction and wear parameters have been studied on Pin on Disc Tester under varying conditions. Worn out pins suggests pronounced abrasive and adhesive wear pattern under boundary film lubricated conditions. Experimentation reveals that addition of mahua oil blended with 90 T oil has good wear reducing traits apart from environmental benefits.

  8. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    company data. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." 44 Energy Information AdministrationPetroleum Marketing Annual...

  9. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    company data. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." 44 Energy Information Administration Petroleum Marketing...

  10. The Models of Estimating Oil Shale Flows and Price

    E-Print Network [OSTI]

    Tauno Tammeoja; Aire Västrik

    The fast economical growth of Estonia in past years has set us several questions on sustainability of oil shale mining in Estonia. For how long do the oil shale resources last? What are the mining expenditures in the areas of different mining conditions and how do they change in future? Thus, in

  11. Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Robbery, An Analysis of the Gasoline Crisis”, Bloomington:Dynamic Pricing in Retail gasoline Markets”, RAND Journal ofR. Gilbert. “Do Gasoline Markets Respond Asymmetrically to

  12. Oil Prices, External Income, and Growth: Lessons from Jordan

    E-Print Network [OSTI]

    Mohaddes, Kamiar; Raissi, Mehdi

    2011-12-08T23:59:59.000Z

    This paper extends the long-run growth model of Esfahani et al. (2009) to a labour exporting country that receives large inflows of external income - the sum of remittances, FDI and general government transfers - from major oil exporting economies...

  13. Trinomialtree based parallel option price Alexandros V. Gerbessiotis

    E-Print Network [OSTI]

    Gerbessiotis, Alexandros V.

    can be performed in parallel. We introduce a method in performing these valuations in parallelTrinomial­tree based parallel option price valuations Alexandros V. Gerbessiotis Department; Trinomial­tree based parallel option price valuations Alexandros V. Gerbessiotis CS Department New Jersey

  14. Identifying the Oil Price-Macroeconomy Relationship: An Empirical Mode Decomposition Analysis of U.S. Data

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A [ORNL

    2009-01-01T23:59:59.000Z

    This work applies the empirical mode decomposition (EMD) method to data on real quarterly oil price (West Texas Intermediate - WTI) and U.S. gross domestic product (GDP). This relatively new method is adaptive and capable of handling non-linear and non-stationary data. Correlation analysis of the decomposition results was performed and examined for insights into the oil-macroeconomy relationship. Several components of this relationship were identified. However, the principal one is that the medium-run cyclical component of the oil price exerts a negative and exogenous influence on the main cyclical component of the GDP. This can be interpreted as the supply-driven or supply-shock component of the oil price-GDP relationship. In addition, weak correlations suggesting a lagging demand-driven, an expectations-driven, and a long-run supply-driven component of the relationship were also identified. Comparisons of these findings with significant oil supply disruption and recession dates were supportive. The study identified a number of lessons applicable to recent oil market events, including the eventuality of persistent economic and price declines following a long oil price run-up. In addition, it was found that oil-market related exogenous events are associated with short- to medium-run price implications regardless of whether they lead to actual supply disruptions.

  15. Product Guide Product Guide Volumes Category Prices Table Crude Oil

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9 54,959.25

  16. Product Guide Product Guide Volumes Category Prices Table Crude Oil

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9 54,959.256

  17. Product Guide Product Guide Volumes Category Prices Table Crude Oil

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9 54,959.256

  18. Residual Fuel Oil Prices, Average - Sales to End Users

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2. ForJanuary 2013 (Thousand2009

  19. The macroeconomic effects of oil price shocks : why are the 2000s so different from the 1920s?

    E-Print Network [OSTI]

    Blanchard, Olivier

    2007-01-01T23:59:59.000Z

    We characterize the macroeconomic performance of a set of industrialized economies in the aftermath of the oil price shocks of the 1970s and of the last decade, focusing on the differences across episodes. We examine four ...

  20. Oil and natural gas reserve prices : addendum to CEEPR WP 03-016 ; including results for 2003 revisions to 2001

    E-Print Network [OSTI]

    Adelman, Morris Albert

    2005-01-01T23:59:59.000Z

    Introduction. A working paper entitled "Oil and Natural Gas Reserve Prices 1982-2002: Implications for Depletion and Investment Cost" was published in October 2003 (cited hereafter as Adelman & Watkins [2003]). Since then ...

  1. Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per

    E-Print Network [OSTI]

    Phillips, David

    Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per barrel of crude oil are given in following table: Gasoline Sale Price per barrel Gas 1

  2. Michigan residential heating oil and propane price survey: 1995--1996 heating season. Final report

    SciTech Connect (OSTI)

    Moriarty, C.

    1996-05-01T23:59:59.000Z

    This report summarizes the results of a survey of residential No. 2 distillate fuel (home heating oil) and liquefied petroleum gas (propane) prices over the 1995--1996 heating season in Michigan. The Michigan`s Public Service Commission (MPSC) conducted the survey under a cooperative agreement with the US Department of Energy`s (DOE) Energy Information Administration (EIA). This survey was funded in part by a grant from the DOE. From October 1995 through March 1996, the MPSC surveyed participating distributors by telephone for current residential retail home heating oil and propane prices. The MPSC transmitted the data via a computer modem to the EIA using the Petroleum Electronic Data Reporting Option (PEDRO). Survey results were published in aggregate on the MPSC World Wide Web site at http://ermisweb.state.mi.us/shopp. The page was updated with both residential and wholesale prices immediately following the transmission of the data to the EIA. The EIA constructed the survey using a sample of Michigan home heating oil and propane retailers. The sample accounts for different sales volumes, geographic location, and sources of primary supply.

  3. USED MINERAL-BASED CRANKCASE OIL

    E-Print Network [OSTI]

    Used Mineral-Based Crankcase

    based crankcase oil vary depending on the brand and type of oil, whether gasoline or diesel fuel was used, the mechanical condition of the engine that the oil came from, and the amount of use between oil changes. Used oil is not naturally found in the environment. What happens to used mineral-based crankcase oil when it enters the environment? q Used mineral-based crankcase oil enters the air through the exhaust system during engine use. q It may enter water or soil when disposed of improperly. q The hydrocarbon components of the oil generally stick to the soil surface. q Some hydrocarbons evaporate into the air very quickly, and others evaporate more slowly. q Hydrocarbon components of the oil that enter surface water bind to small particles in the water and eventually settle to the bottom. q Hydrocarbons from used mineral-based crankcase oil may build up in shellfish or other organisms. q Some metals in used mineral-based crankcase oil dissolve in water and move through the s

  4. I strongly urge that the forecasts recognize the high oil prices and gas prices experienced in 2008 and not treat them as an unusual occurrence in the next 20 years. In the long term with cap and

    E-Print Network [OSTI]

    I strongly urge that the forecasts recognize the high oil prices and gas prices experienced in 2008 and the development of carbon capture and storage applied to new coal fired generating stations, gas prices will only go up. Gas from the Rockies will move east as quickly as transport is available. To the extent

  5. The Impact of Rising Food Prices on Household Welfare in India

    E-Print Network [OSTI]

    de Janvry, Alain; Sadoulet, Eliisabeth

    2009-01-01T23:59:59.000Z

    effects of cereal and oil price changes - Farmers (Rd 59)From wheat price From oil prices Overall gain Average losseffects of cereal and oil price changes – Farmers, by

  6. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01T23:59:59.000Z

    4 Calculation of Electricity Prices 4.1 Averageaverage seasonal and annual electricity prices by region inbased annual average electricity price vs. annual energy

  7. Policy brief | Price subsidy schemes for artemisinin-based combination theraPies (acts): do they work? | 1 Price Subsidy Schemes for Artemisinin-Based

    E-Print Network [OSTI]

    Klein, Ophir

    Policy brief | Price subsidy schemes for artemisinin-based combination theraPies (acts): do they work? | 1 Price Subsidy Schemes for Artemisinin-Based Combination Therapies (ACTs): Do They Work of act is very limited, partly due to its high price in pharmacies and retail stores. the affordable

  8. Countries Distillate Heating Oil (No. 2 Heating Oil and Gasoil) Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOilCompanyexcluding taxes) Date

  9. Countries Distillate Heating Oil (No. 2 Heating Oil and Gasoil) Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOilCompanyexcluding taxes) Dateexcluding

  10. Countries Distillate Heating Oil (No. 2 Heating Oil and Gasoil) Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOilCompanyexcluding taxes)

  11. Dynamics of the Oil Transition: Modeling Capacity, Costs, and Emissions

    E-Print Network [OSTI]

    Brandt, Adam R.; Farrell, Alexander E.

    2008-01-01T23:59:59.000Z

    response to high oil prices and geopolitical threats tofor the e?ect of the oil price through the price elasticityprojections, corresponding oil price series are extracted

  12. Prices

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption

  13. Credit-Based Congestion Pricing: Policy & Response

    E-Print Network [OSTI]

    Kockelman, Kara M.

    /MPP Student Sukumar Kalmanje Congestion Costs Congestion estimated to waste $68 billion per year (fuel + time/peak user/yr in Austin (2000) Wasted Fuel ~ 104 gals/peak user/yr in Austin (2000) Source: 2002 Urban distinctly, based on current demand. Electronic technology uses card-like transponders mounted on cars

  14. Prices

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.3 49.3

  15. Prices

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.3

  16. Prices

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.368.7

  17. The Implications of a Gasoline Price Floor for the California Budget and Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    Emissions Surcharge Revenues Oil Price Price elas= -0.1 elasEmissions Surcharge Revenues Oil Price Price elas= -0.1 elasQuantity Daily GhG Emissions Oil Price Price elas= -0.1 elas

  18. Price-based adaptive spinning reserve requirements in power system scheduling1

    E-Print Network [OSTI]

    Oren, Shmuel S.

    &E, the Hydro-Thermal Optimization (HTO) program was developed almost a decade ago, based on the LagrangianPrice-based adaptive spinning reserve requirements in power system scheduling1 Chung-Li Tsenga function, on a price/value signal. We present three power system scheduling algorithms in which this price

  19. Quantum extension of European option pricing based on the Ornstein-Uhlenbeck process

    E-Print Network [OSTI]

    Edward W. Piotrowski; Malgorzata Schroeder; Anna Zambrzycka

    2005-10-16T23:59:59.000Z

    In this work we propose a option pricing model based on the Ornstein-Uhlenbeck process. It is a new look at the Black-Scholes formula which is based on the quantum game theory. We show the differences between a classical look which is price changing by a Wiener process and the pricing is supported by a quantum model.

  20. Enhanced oil recovery projects data base

    SciTech Connect (OSTI)

    Pautz, J.F.; Sellers, C.A.; Nautiyal, C.; Allison, E.

    1992-04-01T23:59:59.000Z

    A comprehensive enhanced oil recovery (EOR) project data base is maintained and updated at the Bartlesville Project Office of the Department of Energy. This data base provides an information resource that is used to analyze the advancement and application of EOR technology. The data base has extensive information on 1,388 EOR projects in 569 different oil fields from 1949 until the present, and over 90% of that information is contained in tables and graphs of this report. The projects are presented by EOR process, and an index by location is provided.

  1. The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    as on how short-term mechanisms ­ and policy action ­ can smooth the negative impacts of energy price shocks1 The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model Céline Guivarcha, * , Stéphane Hallegattea,b , Renaud Crassousa

  2. Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random Process

    E-Print Network [OSTI]

    Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random 2002; published 13 March 2003) We model trading and price formation in a market under the assumption for the most basic properties of markets, such as the diffusion rate of prices (which is the standard measure

  3. Towards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers

    E-Print Network [OSTI]

    Loo, Boon Thau

    framework by coupling utilities with data centers via dynamic pricing. We develop models describing using real intermittent-energy-generation trace data. Modeling the dynamic price over this trace, weTowards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers Yang Li David Chiu

  4. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    1977-1978 HEATING OIL PRICES II-1 II-3 II-3 Wholesale PricesMonthly U.S. Heating Oil Prices, 1970 - 1978 . . A-16 .H-3 .continuous No. 2 heating oil price information from 1970 to

  5. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    capita terms. When crude oil prices are used, these are thedriven by the world crude oil price rather than by exchange-how consumers think about oil prices and price expectations,

  6. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    capita terms. When crude oil prices are used, these are theprices are driven by oil prices, moreover, and oil isby ‡uctuations in the crude oil price. The overall mean real

  7. Gradient-based Methods for Production Optimization of Oil Reservoirs

    E-Print Network [OSTI]

    Foss, Bjarne A.

    Gradient-based Methods for Production Optimization of Oil Reservoirs Eka Suwartadi Doctoral Thesis oil reservoirs. Gradient- based optimization, which utilizes adjoint-based gradient computation optimization for water flooding in the secondary phase of oil recovery is the main topic in this thesis

  8. U. S. Military Expenditures to Protect the Use of Persian Gulf Oil for Motor Vehicles: Report #15 in the series: The Annualized Social Cost of Motor-Vehicle Use in the United States, based on 1990-1991 Data

    E-Print Network [OSTI]

    Delucchi, Mark; Murphy, James

    2006-01-01T23:59:59.000Z

    55 F IGURE 15-1. M ONTHLY CRUDE OIL PRICES 1990-1991 ($/and our interpretation of crude oil price histories (http://F IGURE 15-1. M ONTHLY CRUDE OIL PRICES 1990-1991 ($/barrel)

  9. A Pricing Based Algorithm for Cell Switching Off in Green Cellular Networks

    E-Print Network [OSTI]

    Yanikomeroglu, Halim

    A Pricing Based Algorithm for Cell Switching Off in Green Cellular Networks Ali Yildiz and Tolga--In this study, we propose a pricing based algorithm that assigns user terminals (UTs) to base stations (BSs) and optimizes the transmission powers in a way that minimizes the energy expenditure. The algorithm takes

  10. A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based on Continuous Time Lattices

    E-Print Network [OSTI]

    Albanese, Claudio

    A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based.tompaidis@mccombs.utexas.edu Corresponding author. Tel. 512-4715252, Fax 512-4710587. #12;A Numerical Method for Pricing Electricity method for pricing derivatives on electricity prices. The method is based on approximating the generator

  11. Michigan residential No. 2 fuel oil and propane price survey for the 1990/91 heating season

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    This report summarizes the results of a survey of home heating oil and propane prices over the 1990/1991 heating season in Michigan. The survey was conducted under a cooperative agreement between the State of Michigan, Michigan Public Service Commission and the US Department of Energy (DOE), Energy Information Administration (EIA), and was funded by a grant from EIA. From October 1990 through May 1991, participating dealers/distributions were called and asked for their current residential retail prices of No. 2 home heating oil and propane. This information was then transmitted to the EIA, bi-monthly using an electronic reporting system called Petroleum Data Reporting Option (PEDRO). The survey was conducted using a sample provided by EIA of home heating oil and propane retailers which supply Michigan households. These retailers were contacted the first and third Mondays of each month. The sample was designed to account for distributors with different sales volumes, geographic distributions and sources of primary supply. It should be noted that this simple is different from the sample used in prior year surveys.

  12. Michigan residential No. 2 fuel oil and propane price survey for the 1990/91 heating season. Final report

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    This report summarizes the results of a survey of home heating oil and propane prices over the 1990/1991 heating season in Michigan. The survey was conducted under a cooperative agreement between the State of Michigan, Michigan Public Service Commission and the US Department of Energy (DOE), Energy Information Administration (EIA), and was funded by a grant from EIA. From October 1990 through May 1991, participating dealers/distributions were called and asked for their current residential retail prices of No. 2 home heating oil and propane. This information was then transmitted to the EIA, bi-monthly using an electronic reporting system called Petroleum Data Reporting Option (PEDRO). The survey was conducted using a sample provided by EIA of home heating oil and propane retailers which supply Michigan households. These retailers were contacted the first and third Mondays of each month. The sample was designed to account for distributors with different sales volumes, geographic distributions and sources of primary supply. It should be noted that this simple is different from the sample used in prior year surveys.

  13. Do Americans Consume Too Little Natural Gas? An Empirical Test of Marginal Cost Pricing

    E-Print Network [OSTI]

    Davis, Lucas; Muehlegger, Erich

    2009-01-01T23:59:59.000Z

    consumption and average delivered prices by customer class, city gate prices, the spot price for North Sea crude oil (

  14. On utility-based derivative pricing with and without intermediate trades

    E-Print Network [OSTI]

    Kallsen, Jan

    On utility-based derivative pricing with and without intermediate trades Jan Kallsen and Christoph on the assumption that investors are identical utility maximizers and that deriva- tive supply and demand are balanced. It is closely related to (marginal) utility-based pricing in the sense of Hugonnier et al. (2005

  15. Asymptotic analysis of utility-based prices and hedging strategies for utilities defined on the

    E-Print Network [OSTI]

    Sîrbu, Mihai

    Asymptotic analysis of utility-based prices and hedging strategies for utilities defined 6th 2009 #12;Outline Optimal investment and utility-based pricing hedging Asymptotic expansions horizon T 3. preferences over terminal wealth described by a utility function U #12;Trading strategies

  16. Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates?

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-066 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl;1 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl Blumstein1 August 1999 Abstract California electricity consumers can choose a retail electricity service provider

  17. World heavy crude and bitumen riches, 1988: half the world's oil future is mortgaged by low prices

    SciTech Connect (OSTI)

    Not Available

    1988-12-30T23:59:59.000Z

    A cover graph shows a glimpse of the future: the world's next offering to civilization. No one knows how much, and just when, great amounts of heavy crude oil resources will be developed. Even less is speculated about bitumen resources. But speculation is not required to reach the conclusion that non-conventional oil must be developed in the Western Hemisphere -- and soon. Considerable data are presented in this issue to reinforce this conclusion. This issues also contains the following: (1) refining netback data series for the US Gulf and West Coasts, Rotterdam, and Singapore, as of Dec. 9 and Dec. 20, 1988; and (2) ED fuel price/tax series for countries of both the Western and Eastern Hemisphere, Dec. 1988 edition. 9 figures, 11 tables.

  18. Maximum Utility Product Pricing Models and Algorithms Based on ...

    E-Print Network [OSTI]

    2007-04-16T23:59:59.000Z

    Apr 15, 2007 ... We consider a revenue management model for pricing a product line with several customer segments .... in a tie (in terms of the underlying utilities) for the best price for a customer segment. Without ...... However, the heuristic appears to make very few reassignments in practice. ...... CPLEX 9.1 User Manual.

  19. MIDWEST ISO CO-OPTIMIZATION BASED REAL-TIME DISPATCH AND PRICING OF ENERGY AND ANCILLARY SERVICES

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    day-ahead counterpart, real-time locational marginal prices (LMP) are calculated every fiveMIDWEST ISO CO-OPTIMIZATION BASED REAL-TIME DISPATCH AND PRICING OF ENERGY AND ANCILLARY SERVICES-time dispatch and pricing. The RT SCED formulation at the core of the real-time dispatch and pricing market

  20. Need-based Communication for Smart Grid: When to Inquire Power Price?

    E-Print Network [OSTI]

    Li, Husheng

    2010-01-01T23:59:59.000Z

    In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not consider the cost of communications which cannot be ignored in many situations. Therefore, the total cost in smart grid should be jointly optimized with the communication cost. In this paper, a probabilistic mechanism of locational margin price (LMP) is applied and a model for the stochastic evolution of the underlying load which determines the power price is proposed. Based on this framework of power price, the problem of determining when to inquire the power price is formulated as a Markov decision process and the corresponding elements, namely the action space, system state and reward function, are defined. Dynamic programming is then applied to obtain the optimal strategy. A simpler myopic approach is proposed by comparing the cost of communications and the penalty incurred by using the old value of power price. Numerical resul...

  1. The Effect of CO2 Pricing on Conventional and Non- Conventional Oil Supply and Demand

    E-Print Network [OSTI]

    Méjean, Aurélie; Hope, Chris

    if conventional oil production was no longer able to satisfy demand? Fuels from non-conventional oil resources would then become the backstop fuel. These resources involve higher CO2 emissions per unit of energy produced than conventional oil as they require... ?EMUC ? GDPgrowth ?POPgrowth? ? (13) r is the consumption discount rate (% per year) EMUC is the elasticity of marginal utility of consumption (no unit) ptp is the pure time preference rate (% per year) GDPgrowth is the growth of GDP (% per year...

  2. Impact of Oil Prices Fluctuations on Economies in the Age of Globalization.

    E-Print Network [OSTI]

    Soh feussi, Ancel Raynaud

    2013-01-01T23:59:59.000Z

    ??Early in the past century, oil has powered economic growth in industrialized economies. Towards the end of the 20th century, as emerging and underdeveloped economies… (more)

  3. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    17.18 17.64 Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information AdministrationPetroleum Marketing Annual...

  4. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    data reported. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information Administration Petroleum Marketing Annual...

  5. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    12.17 12.80 Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information AdministrationPetroleum Marketing Annual...

  6. 2010 oil spill: trajectory projections based on ensemble drifter analyses

    E-Print Network [OSTI]

    2010 oil spill: trajectory projections based on ensemble drifter analyses Yu-Lin Chang & Leo Oey # Springer-Verlag 2011 Abstract An accurate method for long-term (weeks to months) projections of oil spill released at the northern Gulf of Mexico spill site is demonstrated during the 2010 oil spill

  7. RFID BASED GRAIN AND OIL PRODUCTS TRACEABILITY1

    E-Print Network [OSTI]

    Boyer, Edmond

    RFID BASED GRAIN AND OIL PRODUCTS TRACEABILITY1 AND ITS COMPUTER IMPLEMENTATION Haiyan Hu ,*2 the study of the traceability of grain and oil products. Include the study contents, and a system we developed for traceability of grain and oil products, and the demonstration of the study. The system we

  8. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01T23:59:59.000Z

    is higher than the average cost per-kWh, the question of howcost recovery adders are neglected unless they are speci?ed as a price per kWh

  9. EU BIOFUEL USE AND AGRICULTURAL COMMODITY PRICES: A REVIEW OF THE EVIDENCE BASE

    E-Print Network [OSTI]

    EU BIOFUEL USE AND AGRICULTURAL COMMODITY PRICES: A REVIEW OF THE EVIDENCE BASE Report prepared: Kretschmer, B, Bowyer, C and Buckwell, A (2012) EU Biofuel Use and Agricultural Commodity Prices: A Review............................................................................................................. 8 2 EU POLICY DRIVING BIOFUELS DEMAND AND OUTLOOK FOR THIS DEMAND TO 2020. 9 2.1 What is the current

  10. Optimal strategies and utility-based prices converge when agents' preferences do

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    preferences are described by utility func- tions Un defined on the whole real line. It is shown, under with finite time horizon and utility functions defined on the whole real line. Supposing that pricesOptimal strategies and utility-based prices converge when agents' preferences do Laurence Carassus

  11. Futures pricing in electricity markets based on stable CARMA spot models

    E-Print Network [OSTI]

    Gerkmann, Ralf

    Futures pricing in electricity markets based on stable CARMA spot models Gernot M¨uller Vortrag im years, electricity markets throughout the world have undergone massive changes due to deregulations risk but also against price movements. Consequently, statistical modeling and estimation of electricity

  12. The landscape from home: a GIS-based hedonic price valuation1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 The landscape from home: a GIS-based hedonic price valuation1 Jean Cavailhès , , Thierry Brossard , Pierre Wavresky May 2, 2007 Abstract We estimate the hedonic price of landscape seen from houses by geographic methods from satellite images and from a digital elevation model. The landscape attributes

  13. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

    Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

  14. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    per capita terms. When crude oil prices are used, these aredriven by the world crude oil price rather than by exchange-uctuations in the crude oil price. The overall mean real

  15. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    per capita terms. When crude oil prices are used, these areby ‡uctuations in the crude oil price. The overall mean realcandidates are the crude oil price and the tax level. Both

  16. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    Sup) # Sup Squared Crude Oil Price Constant Years of Datafactors using the price of crude oil (Cushings, O K ) . AsN and N-squared. The price of crude oil is a significant and

  17. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    an overall scheme of crude oil price regulation that met thebegan increasing crude oil prices in 1973 but the incomeselling price minus the average costs of crude oil and

  18. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    Gasoline and Crude Oil Prices, 2000-2006 Figure I:Weekly Gasoline and Crude Oil Prices for 2001- 2006 Crudeargue that increases in oil prices may lead to recessions

  19. Oil consumption, pollutant emission, oil proce volatility and economic activities in selected Asian Developing Economies.

    E-Print Network [OSTI]

    Rafiq, Shuddhasattwa

    2009-01-01T23:59:59.000Z

    ??It is now well established in the literature that oil consumption, oil price shocks, and oil price volatility may impact the economic activities negatively. Studies… (more)

  20. The Implications of a Gasoline Price Floor for the California Budget and Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    as a function of crude oil prices with and without the FPSP.NYMEX front-month crude oil price that is generally referrederence between the price of crude oil and the target price.

  1. Pricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff

    E-Print Network [OSTI]

    Lin, Xiaojun

    Pricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff School of Electrical has the important implication that distance-independent pric- ing that is prevalent in current

  2. U. S. Military Expenditures to Protect the Use of Persian Gulf Oil for Motor Vehicles: Report #15 in the series: The Annualized Social Cost of Motor-Vehicle Use in the United States, based on 1990-1991 Data

    E-Print Network [OSTI]

    Delucchi, Mark; Murphy, James

    2006-01-01T23:59:59.000Z

    Montgomery, Oil Prices, Energy Security, and Import Policy,Of these interests [oil security, regional stability and1992) even implies that oil security is a minor concern. In

  3. Development of palm oil-based UV-curable epoxy acrylate and urethane acrylate resins for wood coating application

    SciTech Connect (OSTI)

    Tajau, Rida; Mahmood, Mohd Hilmi; Salleh, Mek Zah; Salleh, Nik Ghazali Nik [Radiation Processing Technology Division, Malaysian Nuclear Agency (Nuclear Malaysia), Bangi, 43000 Kajang, Selangor (Malaysia); Ibrahim, Mohammad Izzat [Faculty of Science, University of Malaya (UM), 50603 Kuala Lumpur (Malaysia); Yunus, Nurulhuda Mohd [Faculty of Science and Technology, National University Malaysia (UKM), 43600 Bangi, Selangor (Malaysia)

    2014-02-12T23:59:59.000Z

    The trend of using renewable sources such as palm oil as raw material in radiation curing is growing due to the demand from the market to produce a more environmental friendly product. In this study, the radiation curable process was done using epoxy acrylate and urethane acrylate resins which are known as epoxidised palm olein acrylate (EPOLA) and palm oil based urethane acrylate (POBUA), respectively. The purpose of the study was to investigate curing properties and the application of this UV-curable palm oil resins for wood coating. Furthermore, the properties of palm oil based coatings are compared with the petrochemical-based compound such as ebecryl (EB) i.e. EB264 and EB830. From the experiment done, the resins from petrochemical-based compounds resulted higher degree of crosslinking (up to 80%) than the palm oil based compounds (up to 70%), where the different is around 10-15%. The hardness property from this two type coatings can reached until 50% at the lower percentage of the oligomer. However, the coatings from petrochemical-based have a high scratch resistance as it can withstand at least up to 3.0 Newtons (N) compared to the palm oil-based compounds which are difficult to withstand the load up to 1.0 N. Finally, the test on the rubber wood substrate showed that the coatings containing benzophenone photoinitiator give higher adhesion property and their also showed a higher glosiness property on the glass substrate compared to the coatings containing irgacure-819 photoinitiator. This study showed that the palm oil coatings can be a suitable for the replacement of petrochemicals compound for wood coating. The palm oil coatings can be more competitive in the market if the problems of using high percentage palm oil oligomer can be overcome as the palm oil price is cheap enough.

  4. Use of naphthenic base stocks in engine oil formulations

    SciTech Connect (OSTI)

    Josefina, V.C.M.; Armando, I.R.

    1988-01-01T23:59:59.000Z

    The use of naphthenic base stocks in the formulation of engine oils has always been restricted due to certain physico-chemical properties (i.e. low oxidation stability, high volatility, great variation of the viscosity with the temperature) as well as the limited availability of this type of base oil in many parts of the world. This paper summarizes the experimental results followed in the development of a crankcase engine oil formulation SAE 40, API SF/CC with maximum usage of a naphthenic base stock MVIN-170 combined with HVI stocks and conventional additive technologies. The physico-chemical characterization of the MVIN-170 base stock, a conventional processed napthenic oil that Maraven (affiliate of PDVSA) commercializes from Isla Refinery of Curazao, is presented and compared with other napthenic oils coming from other crude sources of processes and with parafinic base stocks of equivalent viscosity.

  5. THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION

    E-Print Network [OSTI]

    Rothman, Daniel

    This draft: April 9, 2013 Abstract The price of crude oil in the U.S. never exceeded $40 per barrel until mid price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our approach can be applied to other commodities. We explain the meaning of "oil price speculation," how it can

  6. ,"U.S. Residual Fuel Oil Prices by Sales Type"

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <InformationMonthly","2/2015"Monthly","2/2015","1/15/1993"Prices

  7. The effect of biofuel on the international oil market

    E-Print Network [OSTI]

    Hochman, Gal; Rajagopal, Deepak; Zilberman, David D.

    2010-01-01T23:59:59.000Z

    energy security and high oil prices, as well as greenhousetransaction costs, the oil prices in H equal the prices inat times when crude oil prices surged during 2002 to 2006 (

  8. Optimize carbon dioxide sequestration, enhance oil recovery

    E-Print Network [OSTI]

    - 1 - Optimize carbon dioxide sequestration, enhance oil recovery January 8, 2014 Los Alamos simulation to optimize carbon dioxide (CO2) sequestration and enhance oil recovery (CO2-EOR) based on known production. Due to carbon capture and storage technology advances, prolonged high oil prices

  9. Improved Efficiency of Oil Well Drilling through Case Based Reasoning

    E-Print Network [OSTI]

    Aamodt, Agnar

    to give the operator valuable advise on how to go about solving the new case. Introduction Drilling of oil1 Improved Efficiency of Oil Well Drilling through Case Based Reasoning Paal Skalle Norwegian University of Science and Technology, Dept. of Petroleum Technology, N-7491, Trondheim, Norway (pskalle

  10. KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING

    E-Print Network [OSTI]

    Aamodt, Agnar

    for capturing and reusing experience and best practice in industrial operations5-7 . CBR as a technology has nowKNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING Combining general and case-specific knowledge of Computer and Information Science. agnar.aamodt@idi.ntnu.no Abstract: Oil well drilling is a complex process

  11. Modeling of Energy Production Decisions: An Alaska Oil Case Study

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    and Weimer, D.L. (1984) Oil prices shock, market response,OPEC behavior and world oil prices (pp. 175-185) London:many decades. Recent high oil prices have caused oil-holding

  12. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    RETAIL PRICES CONTENTS Page Tuna, Canned White Meat Tuna. (Albacore), Solid Pack, In Oil All BrandsCANNED FISH RETAIL PRICES UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE SERVICE BUREAU PRICES APRIL 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market Development FISHERY

  13. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    PRICES CONTENTS Page Tuna, Canned White Meat Tuna (Albacore), Solid Pack, In Oil All Brands ExceptCANNED FISH RETAIL PRICES JUNE ll959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDUFE, Commissioner CANNED FISH RETAIL PRICES JUNE 1959 Prepared in the Bureau of Commercial Fisheries Branch

  14. Estimation of Volatility The values of the parameters r, t, St, T, and K used to price a call op-

    E-Print Network [OSTI]

    Privault, Nicolas

    is the price of light sweet crude oil futures traded on the New York Mercantile Exchange (NYMEX), basedChapter 7 Estimation of Volatility The values of the parameters r, t, St, T, and K used to price in the stock price model dSt St = µdt + dBt. A natural estimator for the trend parameter µ can be written as ^µ

  15. World Oil: Market or Mayhem?

    E-Print Network [OSTI]

    Smith, James L.

    2008-01-01T23:59:59.000Z

    The world oil market is regarded by many as a puzzle. Why are oil prices so volatile? What is OPEC and what does OPEC do? Where are oil prices headed in the long run? Is “peak oil” a genuine concern? Why did oil prices ...

  16. Grid Pricing of Fed Cattle

    E-Print Network [OSTI]

    Schroeder, Ted C.; Hogan, Robert J.; Anderson, David P.

    2009-03-02T23:59:59.000Z

    There are several value-based fed cattle pricing systems, including formula pricing, price grids and alliances. This publication describes the different cattle pricing methods and helps you decide which is best for you....

  17. UDP: Usage-based Dynamic Pricing with Privacy Preservation for Smart Grid

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    overhead, we introduce distributed community gateways as proxies of the utility company to timely respond are managed adaptively to meet the electricity generation and distribution capabilities at any time be optimally utilized in real time. In this paper, we propose a usage-based dynamic pricing (UDP) scheme

  18. Pricing statistics sourcebook. 5. edition

    SciTech Connect (OSTI)

    NONE

    1999-11-01T23:59:59.000Z

    Thousands of historical and current prices for crude oil, NGL, petroleum products, natural gas and electric power are presented in easy to read tables. The book includes spot, posted and future prices; prices by state and by country; and monthly and annual prices. Most monthly price series go back 25 years. This comprehensive source for energy industry prices is a must for anyone involved in planning and budgeting. The Pricing Statistics Sourcebook has all of the essential key energy price statistics needed for analysis of the US and international oil and gas industries. Also include: an appendix of IEA, OECD and OPEC member lists, conversion factors heat content of fuels; and major events affecting the oil and gas industry since 1859. The book includes a summary analysis of significant changes in key data series written by Bob Beck, Economics Editor of the Oil and Gas Journal.

  19. 1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response

    E-Print Network [OSTI]

    Fu, Yong

    , real-time price-based demand response management, residential appli- ances, robust optimization1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization Zhi Chen

  20. Do Americans Consume Too Little Natural Gas? An Empirical Test of Marginal Cost Pricing

    E-Print Network [OSTI]

    Davis, Lucas; Muehlegger, Erich

    2009-01-01T23:59:59.000Z

    demand with respect to the crude oil price is 0.347. Table 5for North Sea crude oil (Brent Crude Spot Price), andheatinginclude the spot price of Brent crude oil. We instrument for

  1. The Impact of Rising Food Prices on Household Welfare in India

    E-Print Network [OSTI]

    de Janvry, Alain; Sadoulet, Eliisabeth

    2009-01-01T23:59:59.000Z

    that these cereal and oil price increases of 28 to 52% wouldthe large increase in oil prices, leaving them with only aprices and 2.2% from the oil price increase. Poor people

  2. Congestion pricing using a raffle-based scheme

    E-Print Network [OSTI]

    Amin, Saurabh

    We propose a raffle-based scheme for the decongestion of a shared resource. Our scheme builds on ideas from the economic literature on incentivizing contributions to a public good. We formulate a game-theoretic model for ...

  3. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    on the price of home heating oil may also be obtained byincluding kerosene, home heating oil, range oil, stove oil,to most marketers of home heating oil. Consequently, during

  4. Cost, Conflict and Climate: U.S. Challenges in the World Oil Market

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    at the world price of oil and prices of gasoline and otherincremental pro?ts when oil prices rise come from both U.S.the recent increases in oil prices and attempts to clarify

  5. Prices and Price Setting.

    E-Print Network [OSTI]

    R.P. Faber (Riemer)

    2010-01-01T23:59:59.000Z

    ??abstractThis thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects… (more)

  6. The effect of biofuel on the international oil market

    E-Print Network [OSTI]

    Hochman, Gal; Rajagopal, Deepak; Zilberman, David D.

    2010-01-01T23:59:59.000Z

    countries, at times when crude oil prices surged during 2002Texas Intermediate price of crude oil. To this end, we knowcrude oil and biofuels in 2007 (see Table 1). Speci?cally, we use price

  7. Crude Existence: The Politics of Oil in Northern Angola

    E-Print Network [OSTI]

    Reed, Kristin

    2009-01-01T23:59:59.000Z

    tion. A drop in world oil prices, coupled with a decrease indisbursements declined and oil prices dropped sharply inThe drastic drop in oil prices and further agricultural

  8. Dynamic analysis in productivity, oil shock, and recession

    E-Print Network [OSTI]

    Katayama, Munechika

    2008-01-01T23:59:59.000Z

    Declining E?ects of Oil-price Shocks . . . . . . . . . . .of IRFs to a 10% Increase in the Oil Price: Case 3 and Caseof IRFs to a 10% Increase in the Oil Price: Before and After

  9. Drunk On Oil: Russian Foreign Policy 2000-2007

    E-Print Network [OSTI]

    Brugato, Thomas

    2008-01-01T23:59:59.000Z

    World Stocks Sag as Oil Price Surges. ” The New York Times,Second, the increase in oil prices may make Russia moreof action. Nevertheless, oil prices still have a significant

  10. The Role of Inventories and Speculative Trading in the Global Market for Crude Oil

    E-Print Network [OSTI]

    Lutz Kilian; Dan Murphy

    2010-01-01T23:59:59.000Z

    We develop a structural model of the global market for crude oil that for the first time explicitly allows for shocks to the speculative demand for oil as well as shocks to the flow demand and flow supply. The forward-looking element of the real price of oil is identified with the help of data on oil inventories. The model estimates rule out explanations of the 2003-08 oil price surge based on unexpectedly diminishing oil supplies and based on speculative trading. Instead, we find that this surge was caused by fluctuations in the flow demand for oil driven by the global business cycle. There is evidence, however, that speculative demand shifts played an important role during earlier oil price shock episodes including 1979, 1986, and 1990. We also show that, even after accounting for the role of inventories in smoothing oil consumption, our estimate of the short-run price elasticity of oil demand is much higher than traditional estimates from dynamic models that do not account for price endogeneity. We conclude that additional regulation of oil markets would not have prevented the 2003-08 oil price surge.

  11. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    Energy Information Administration, “World Petroleum Consumption,Energy Information Administration, “World Petroleum Consumption,

  12. Residential heating oil price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministration (EIA)

  13. Residential heating oil price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministration (EIA)heating

  14. Residential heating oil price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministration

  15. World Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:short version)ec 1827 Table 7.2c43

  16. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

  17. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

  18. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

  19. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

  20. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View

  1. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View1997

  2. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

    Deacon, R.T.; Mead, W.J.; Agarwal, V.B.

    1980-02-01T23:59:59.000Z

    The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

  3. Oil

    E-Print Network [OSTI]

    unknown authors

    Waste oils offer a tremendous recycling potential. An important, dwindling natural resource of great economic and industrial value, oil products are a cornerstone of our modern industrial society. Petroleum is processed into a wide variety of products: gasoline, fuel oil, diesel oil, synthetic rubber, solvents, pesticides, synthetic fibres, lubricating oil, drugs and many more ' (see Figure 1 1. The boilers of Amercian industries presently consume about 40 % of the used lubricating oils collected. In Ontario, the percentage varies from 20 to 30%. Road oiling is the other major use of collected waste oils. Five to seven million gallons (50-70 % of the waste oil col1ected)is spread on dusty Ontario roads each summer. The practice is both a wasteful use of a dwindling resource and an environmental hazard. The waste oil, with its load of heavy metals, particularly lead, additives including dangerous polynuclear aromatics and PCBs, is carried into the natural environment by runoff and dust to contaminate soils and water courses.2 The largest portion of used oils is never collected, but disappears into sewers, landfill sites and backyards. In Ontario alone, approximately 22 million gallons of potentially recyclable lube oil simply vanish each year. While oil recycling has ad-114 Oil

  4. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    IV. v. Retail Marketers . . Wholesale Marketers Explanationof Supportive Data Wholesale and Retail Fuel Oil MarketPRICES II-1 II-3 II-3 Wholesale Prices to Wholesalers and

  5. China's Global Oil Strategy

    E-Print Network [OSTI]

    Thomas, Bryan G

    2009-01-01T23:59:59.000Z

    nations began to seek out oil reserves around the world. 3on the limited global oil reserves and spiking prices. Manyto the largest proven oil reserves, making up 61 percent of

  6. Local Frequency Based Estimators for Anomaly Detection in Oil and Gas Applications

    E-Print Network [OSTI]

    Slatton, Clint

    Local Frequency Based Estimators for Anomaly Detection in Oil and Gas Applications Alexander Singh industrial applications such as the smart grid and oil and gas are continuously monitored. The massive to positively impact the bottom line. In the oil and gas industry, modern oil rigs are outfitted with thousands

  7. COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1

    E-Print Network [OSTI]

    Pantaleone, Jim

    oil prices, production rates, and costs. He noted that comparative revenues are highly sensitive to future costs and oil prices. Oil prices are notoriously difficult to forecast. Future North Slope oil prices, production, and costs that support their arguments. Given the inherent uncertainty about oil

  8. 5 World Oil Trends WORLD OIL TRENDS

    E-Print Network [OSTI]

    5 World Oil Trends Chapter 1 WORLD OIL TRENDS INTRODUCTION In considering the outlook for California's petroleum supplies, it is important to give attention to expecta- tions of what the world oil market. Will world oil demand increase and, if so, by how much? How will world oil prices be affected

  9. Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers: AAAAnnnn UpdatedUpdatedUpdatedUpdated Literature ReviewLiterature ReviewLiterature ReviewLiterature Review

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , such as unexpected fluctuations in energy demand, energy prices (e.g., oil, gas, coal) and weather conditions1 Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers: AAAAnnnn the factors that shape the price of carbon, where one European Union Allowance is equal to one ton of CO2

  10. Experience in producing dewaxed cut for VMGZ oil base stock

    SciTech Connect (OSTI)

    Drozdova, M.A.; Edigarova, V.S.; Gul'din, G.L.

    1983-05-01T23:59:59.000Z

    In the production of base stock VMGZ oil, a given viscosity, solid point, and initial boiling point, are required. The Moscow Petroleum Company mixed West Siberian and Ramaschinko crudes in this process to obtain proper specifications. But when they used paraffinic Usa crude off-specification batches were obtained. It became necessary to investigate the nature of the crude oil on the quality of the base stock. Usa crude, the study found, has a higher solid point, lower viscosity. Heavier cuts (with boiling points in the 280-5 C range) must be used. A mixture of 50% West Siberian and Romanian and 50% USA crude was also tested. This mixture meets requirements if the boiling point is no lower than 280 C. The results indicate that the distillation range of the deepstock is selected according to the nature of the crude, a finding which makes it possible to avoid off-specification.

  11. Extractors manual for Oil Shale Data Base System: Major Plants Data Base

    SciTech Connect (OSTI)

    Not Available

    1986-08-01T23:59:59.000Z

    To date, persons working in the development of oil shale technology have found limited amounts of reference data. If data from research and development could be made publicly available, however, several functions could be served. The duplication of work could be avoided, documented test material could serve as a basis to promote further developments, and research costs could possibly be reduced. To satisfy the engineering public's need for experimental data and to assist in the study of technical uncertainties in oil shale technology, the Department of Energy (DOE) has initiated the development of a data system to store the results of Government-sponsored research. A technology-specific data system consists of data that are stored for that technology in each of the specialized data bases that make up the Morgantown Energy Technology Center (METC) data system. The Oil Shale Data System consists of oil shale data stored in the Major Plants Data Base (MPDB), Test Data Data Base (TDDB), Resource Extraction Data Base (REDB), and Math Modeling Data Base (MMDB). To capture the results of Government-sponsored oil shale research programs, documents have been written to specify the data that contractors need to report and the procedures for reporting them. The documents identify and define the data from oil shale projects to be entered into the MPDB, TDDB, REDB, and MMDB, which will meet the needs of users of the Oil Shale Data System. This document addresses what information is needed and how it must be formatted for entry to the MPDB for oil shale. The data that are most relevant to potential Oil Shale Data System users have been divided into four categories: project tracking needs; economic/commercialization needs; critical performance needs; and modeling and research and development needs. 2 figs., 31 tabs.

  12. Price-Based Distributed Control for Networked Plug-in Electric Vehicles Bahman Gharesifard Tamer Basar Alejandro D. Dominguez-Garcia

    E-Print Network [OSTI]

    Liberzon, Daniel

    Price-Based Distributed Control for Networked Plug-in Electric Vehicles Bahman Gharesifard Tamer the charging and discharging processes of plug-in electric vehicles (PEVs) via pricing strategies. Our. In the retail market layer, the aggregator offers some price for the energy that PEVs may provide; the objective

  13. Linseed Oil-Based Concrete Surface Treatment -for Building and Highway Structures in

    E-Print Network [OSTI]

    , Linseed Oil-Based Concrete Surface Treatment -for Building and Highway Structures in Hong Kong Y using jour Canadian linseed oil- based sealants on concrete specimens madejrom G30120 and G45120 Keywords: Unseed Oil, Concrete Surface Treatment, Salt Spray Resistance, Carbonation, Bond Strength, Ultra

  14. Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast

    E-Print Network [OSTI]

    ............................................................................................................................... 12 Oil Price Forecast Range. The price of crude oil was $25 a barrel in January of 2000. In July 2008 it averaged $127, even approachingSixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast Introduction

  15. Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market: An African Perspective

    E-Print Network [OSTI]

    ­ unbridled population growth, oil price fluctuations, importation policies, water availability and political market, hunger, undernourishment in Africa, food productivity, population growth, oil price, importation1 Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market

  16. Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand

    E-Print Network [OSTI]

    Hughes, Jonathan; Knittel, Christopher R; Sperling, Dan

    2007-01-01T23:59:59.000Z

    demand shocks. Since gasoline demand and oil price areto gasoline demand shocks. In Venezuela, a strike by oildemand is likely correlated with the prices of other refinery outputs via the price of oil.

  17. Natural gas prices: Rhyme or reason

    SciTech Connect (OSTI)

    Tucker, L.L.

    1995-12-31T23:59:59.000Z

    Problems in the establishment of natural gas prices are outlined. The tropics discussed include: US average natural gas prices; US average natural gas prices; US average fuel oil prices; and US average electric utility natural gas T and D margin in dollars Mcf.

  18. The Story of Stumpage Stumpage Prices \\iJ~,.~,,...... B~

    E-Print Network [OSTI]

    high-quality yellow birch inventory. SOFTWOOD SAWTIMBER: Softwoods are predominately used in structural of fossil fuels,particularly No.2fuel oil. (The price of firewood rises as fuel oil prices in

  19. The Recent Metals Price Retreat: So Long Super Cycle?

    E-Print Network [OSTI]

    /Haver Analytics. Gold (London PM fixing) Crude Oil (WTI) #12;CRBMetals Price Index KR-CRB Spot Commodity Price.0 1.6 1.2 0.8 0.4 0.0 2.4 2.0 1.6 1.2 0.8 0.4 0.0 #12;Crude Oil Price (WTI) Spot Oil Price: West Texas 25 0 #12;Crude Oil Price: Nominal vs. Real Spot Oil Price: West Texas Intermediate [Prior'82=Posted

  20. The impact of fuel price volatility on transportation mode choice

    E-Print Network [OSTI]

    Kim, Eun Hie

    2009-01-01T23:59:59.000Z

    In recent years, the price of oil has driven large fluctuations in the price of diesel fuel, which is an important cost component in freight logistics. This thesis explores the impact of fuel price volatility on supply ...

  1. E-Print Network 3.0 - ante value-based price Sample Search Results

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

    March 2010 When Are Excessive Prices Unfair? W: www.uea.ac.ukccp T: +44 (0... )1603 593715 A: UEA, Norwich, NR4 7TJ When Are Excessive Prices Unfair? BACKGROUND Under EU...

  2. A Probability Theory Based Price Determination Framework for Utility Companies in an Oligopolistic Energy Market

    E-Print Network [OSTI]

    Pedram, Massoud

    non-cooperative utility companies that offer time-of-use dependent energy prices to energy consumers to determine the energy price for utility companies in an oligopolistic energy market. At the beginning of each to minimize the expected energy cost. The energy pricing competition among utility companies forms an n

  3. Essays on Pricing Behaviors of Energy Commodities

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16T23:59:59.000Z

    This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market...

  4. Cost, Conflict and Climate: U.S. Challenges in the World Oil Market

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    increases in the price of crude oil during the last half ofdollar-denominated price of crude oil increased about 50%.month contract) price per gallon of crude oil and gasoline

  5. US military expenditures to protect the use of Persian Gulf oil for motor vehicles

    E-Print Network [OSTI]

    Delucchi, Mark; Murphy, James

    2008-01-01T23:59:59.000Z

    Montgomery, W.D. , 1982. Oil Prices, Energy Security, andPaik, I.K. , 2004. Oil price shocks and the macroeconomy:the United States from Oil Price Shocks? CRS 91-438E.

  6. Edgeworth Cycles and Focal Prices: Computational Dynamic Markov Equilibria

    E-Print Network [OSTI]

    Noel, Michael D.

    2004-01-01T23:59:59.000Z

    1993). “Gas Wars: Retail Gasoline Price Fluctuations”,Price Cycles: Firm Interaction in the Toronto Retail GasolinePrice Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline

  7. State energy price system. Volume I: overview and technical documentation

    SciTech Connect (OSTI)

    Fang, J.M.; Nieves, L.A.; Sherman, K.L.; Hood, L.J.

    1982-06-01T23:59:59.000Z

    This study utilizes existing data sources and previous analyses of state-level energy prices to develop consistent state-level energy prices series by fuel type and by end-use sector. The fuels are electricity, natural gas, coal, distillate fuel oil, motor gasoline, diesel, kerosene, jet fuel, residual fuel, and liquefied petroleum gas. The end-use sectors are residential, commercial, industrial, transportation, and electric utility. Based upon an evaluation of existing data sources, recommendations were formulated on the feasible approaches for developing a consistent state energy price series. The data series were compiled based upon the approaches approved after a formal EIA review. Detailed documentation was provided, including annual updating procedures. Recommendations were formulated for future improvements in the collection of data or in data processing. Generally, the geographical coverage includes the 50 states and the District of Columbia. Information on state-level energy use was generally taken from the State Energy Data System (SEDS). Corresponding average US prices are also developed using volumes reported in SEDS. To the extent possible, the prices developed are quantity weighted average retail prices. Both a Btu price series and a physical unit price series are developed for each fuel. The period covered by the data series is 1970 through 1980 for most fuels, though prices for electricity and natural gas extend back to 1960. (PSB)

  8. Level Set Based Simulations of Two-Phase Oil-Water Flows in Pipes

    E-Print Network [OSTI]

    Soatto, Stefano

    application is the lubricated pipelining of crude oil by the addition of water. We want to eĂ?ciently transportLevel Set Based Simulations of Two-Phase Oil-Water Flows in Pipes Hyeseon Shim July 31, 2000 Abstract We simulate the axisymmetric pipeline transportation of oil and water numerically under

  9. A Multimedia Workflow-Based Collaborative Engineering Environment for Oil & Gas Industry

    E-Print Network [OSTI]

    Barbosa, Alberto

    A Multimedia Workflow-Based Collaborative Engineering Environment for Oil & Gas Industry Ismael H the control and execution of large and complex industrial projects in oil and gas industry. The environment governmental oil & gas company. The necessity of collaboration is especially acute in the field of computer

  10. Genetic algorithm evolved agent-based equity trading using Technical Analysis and the Capital Asset Pricing Model

    E-Print Network [OSTI]

    Aickelin, Uwe

    Genetic algorithm evolved agent-based equity trading using Technical Analysis and the Capital Asset data using technical analysis, the capital asset pricing model and a hybrid model of the two approaches. Results indicated that the technical analysis based approach performed better than the capital asset

  11. Drunk On Oil: Russian Foreign Policy 2000-2007

    E-Print Network [OSTI]

    Brugato, Thomas

    2008-01-01T23:59:59.000Z

    Julia. “ World Stocks Sag as Oil Price Surges. ” The NewCollapse: Grain and Oil,” On the Issues, Am. Enterpriseet. al. , “Unrelenting Oil Addiction,” Russ. in Global

  12. SOVENT BASED ENHANCED OIL RECOVERY FOR IN-SITU UPGRADING OF HEAVY OIL SANDS

    SciTech Connect (OSTI)

    Munroe, Norman

    2009-01-30T23:59:59.000Z

    With the depletion of conventional crude oil reserves in the world, heavy oil and bitumen resources have great potential to meet the future demand for petroleum products. However, oil recovery from heavy oil and bitumen reservoirs is much more difficult than that from conventional oil reservoirs. This is mainly because heavy oil or bitumen is partially or completely immobile under reservoir conditions due to its extremely high viscosity, which creates special production challenges. In order to overcome these challenges significant efforts were devoted by Applied Research Center (ARC) at Florida International University and The Center for Energy Economics (CEE) at the University of Texas. A simplified model was developed to assess the density of the upgraded crude depending on the ratio of solvent mass to crude oil mass, temperature, pressure and the properties of the crude oil. The simplified model incorporated the interaction dynamics into a homogeneous, porous heavy oil reservoir to simulate the dispersion and concentration of injected CO2. The model also incorporated the characteristic of a highly varying CO2 density near the critical point. Since the major challenge in heavy oil recovery is its high viscosity, most researchers have focused their investigations on this parameter in the laboratory as well as in the field resulting in disparaging results. This was attributed to oil being a complex poly-disperse blend of light and heavy paraffins, aromatics, resins and asphaltenes, which have diverse behaviors at reservoir temperature and pressures. The situation is exacerbated by a dearth of experimental data on gas diffusion coefficients in heavy oils due to the tedious nature of diffusivity measurements. Ultimately, the viscosity and thus oil recovery is regulated by pressure and its effect on the diffusion coefficient and oil swelling factors. The generation of a new phase within the crude and the differences in mobility between the new crude matrix and the precipitate readily enables removal of asphaltenes. Thus, an upgraded crude low in heavy metal, sulfur and nitrogen is more conducive for further purification.

  13. Aspects of Hess' Acquisition of American Oil & Gas

    Reports and Publications (EIA)

    2010-01-01T23:59:59.000Z

    On July 27, 2010, Hess Corporation announced that it had agreed to acquire American Oil & Gas, Inc. in a stock-only transaction worth as much as $488 million (based on Hess' closing price of $53.30/share, anticipated number of newly issued shares, and $30 million credit facility extended to American Oil & Gas prior to closing).

  14. How Increased Crude Oil Demand by China and India Affects the International Market

    E-Print Network [OSTI]

    the world crude oil market. More specifically, we study the implications for pricing, OPEC production of the Crude Oil Market The global crude oil market can be analysed by considering how quantity and price crude oil prices in the world move together (the price differences are due to different oil quality

  15. c 2005 by Yuan Xue. All rights reserved. PRICE-BASED OPTIMAL RESOURCE ALLOCATION IN MULTI-HOP WIRELESS

    E-Print Network [OSTI]

    Nahrstedt, Klara

    c 2005 by Yuan Xue. All rights reserved. #12;PRICE-BASED OPTIMAL RESOURCE ALLOCATION IN MULTI have enabled rapid develop- ment of a variety of wireless network technologies. The undeniable- width and battery energy. (3) Autonomous communication entities. The wireless nodes usually belong

  16. Oil prices spike to over barreland price

    E-Print Network [OSTI]

    Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDINWater and Power Authority (WAPA) signs waste-to-energy (WTE) power purchase agreement (PPA) WAPA signs PPA for 7 with light-emitting diodes (LEDs)Renewable Energy Energy E ciency Grid 2.39 2.44 2.26 2.18 1.94 0.97 #12;

  17. Costs of U.S. Oil Dependence: 2005 Update

    SciTech Connect (OSTI)

    Greene, D.L.

    2005-03-08T23:59:59.000Z

    For thirty years, dependence on oil has been a significant problem for the United States. Oil dependence is not simply a matter of how much oil we import. It is a syndrome, a combination of the vulnerability of the U.S. economy to higher oil prices and oil price shocks and a concentration of world oil supplies in a small group of oil producing states that are willing and able to use their market power to influence world oil prices. Although there are vitally important political and military dimensions to the oil dependence problem, this report focuses on its direct economic costs. These costs are the transfer of wealth from the United States to oil producing countries, the loss of economic potential due to oil prices elevated above competitive market levels, and disruption costs caused by sudden and large oil price movements. Several enhancements have been made to methods used in past studies to estimate these costs, and estimates of key parameters have been updated based on the most recent literature. It is estimated that oil dependence has cost the U.S. economy $3.6 trillion (constant 2000 dollars) since 1970, with the bulk of the losses occurring between 1979 and 1986. However, if oil prices in 2005 average $35-$45/bbl, as recently predicted by the U.S. Energy Information Administration, oil dependence costs in 2005 will be in the range of $150-$250 billion. Costs are relatively evenly divided between the three components. A sensitivity analysis reflecting uncertainty about all the key parameters required to estimate oil dependence costs suggests that a reasonable range of uncertainty for the total costs of U.S. oil dependence over the past 30 years is $2-$6 trillion (constant 2000 dollars). Reckoned in terms of present value using a discount rate of 4.5%, the costs of U.S. oil dependence since 1970 are $8 trillion, with a reasonable range of uncertainty of $5 to $13 trillion.

  18. SURFACTANT BASED ENHANCED OIL RECOVERY AND FOAM MOBILITY CONTROL

    SciTech Connect (OSTI)

    George J. Hirasaki; Clarence A. Miller; Gary A. Pope; Richard E. Jackson

    2004-02-01T23:59:59.000Z

    Surfactant flooding has the potential to significantly increase recovery over that of conventional waterflooding. The availability of a large number of surfactant structures makes it possible to conduct a systematic study of the relation between surfactant structure and its efficacy for oil recovery. Also, the addition of an alkali such as sodium carbonate makes possible in situ generation of surfactant and significant reduction of surfactant adsorption. In addition to reduction of interfacial tension to ultra-low values, surfactants and alkali can be designed to alter wettability to enhance oil recovery. An alkaline surfactant process is designed to enhance spontaneous imbibition in fractured, oil-wet, carbonate formations. It is able to recover oil from dolomite core samples from which there was no oil recovery when placed in formation brine.

  19. Growth of Hereford-Kedah Kelantan calves fed oil palm fronds and palm kernel cake based diet

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Growth of Hereford-Kedah Kelantan calves fed oil palm fronds and palm kernel cake based diet I Lumpur, Malaysia Being one of the world's leading producers of palm oil, Malaysia has a total of two million hectares of land under oil palm cultivation. The palm oil mills yield a number of by

  20. Gasoline price data systems

    SciTech Connect (OSTI)

    Not Available

    1980-05-01T23:59:59.000Z

    Timely observation on prices of gasoline at the wholesale and retail level by geographical area can serve several purposes: (1) to facilitate the monitoring of compliance with controls on distributor margins; (2) to indicate changes in the competitive structure of the distribution system; (3) to measure the incidence of changes in crude oil and refiner costs on retail prices by grade of gasoline, by type of retail outlet, and by geographic area; (4) to identify anomalies in the retail pricing structure that may create incentives for misfueling; and (5) to provide detailed time series data for use in evaluating conservation response to price changes. In order to provide the needed data for these purposes, the following detail on gasoline prices and characteristics of the sampling procedure appear to be appropriate: (1) monthly sample observations on wholesale and retail prices by gasoline grade and type of wholesale or retail dealer, together with volume weights; (2) sample size sufficient to provide detail by state and large cities; (3) responses to be tabulated and reports provided within 30 days after date of observation; and (4) a quick response sampling procedure that can provide weekly data, at least at the national level, when needed in time of rapidly changing prices. Price detail by state is suggested due to its significance for administrative purposes and since gasoline consumption data are estimated by state from other sources. Price detail for large cities are suggested in view of their relevancy as problem areas for vehicle emissions, reflecting one of the analytical uses of the data. In this report, current reporting systems and data on gasoline prices are reviewed and evaluated in terms of the needs outlined above. Recommendations are made for ways to fill the gaps in existing data systems to meet these needs.

  1. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    zonal day-ahead locational based marginal pricing (DA LBMP),provides zonal Locational Based Marginal Pricing (LBMP) inzonal day-ahead locational based marginal pricing (DA LBMP),

  2. An hybrid ensemble based approach for process parameter estimation in offshore oil platforms

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An hybrid ensemble based approach for process parameter estimation in offshore oil platforms Piero in offshore oil platforms. In particular, the difference between the theoretical value of the valve flow on real measurements performed on a number of similar offshore choke valves. 1. Introduction In this paper

  3. Maintenance Scheduling of Oil Storage Tanks using Tabu-based Genetic Algorithm *

    E-Print Network [OSTI]

    Chen, Shu-Ching

    Maintenance Scheduling of Oil Storage Tanks using Tabu-based Genetic Algorithm * Sheng-Tun Li1 the distribution channel of products, which consists of gas stations, pipelines, and storage tanks. Due days or 50,000 kiloliters. Therefore, they unavoidably have to rent tanks from the domestic oil

  4. Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments

    E-Print Network [OSTI]

    Oakley, Jeremy

    Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments, 2008 1 Introduction Reservoir simulators are important and widely-used tools for oil reservoir for reservoirs, where the model inputs are physical parameters, such as the permeability and porosity of various

  5. Modest carbon price could save Borneo forests: study Reuters, 4 June 2009 -Tropical forests in Borneo under threat of conversion to palm oil

    E-Print Network [OSTI]

    in Borneo under threat of conversion to palm oil plantations could be more profitable left standing threat of being converted to oil palm plantations. "They are not meant to be clearing forest for palm oil development. It's pretty clear that forests are being felled for oil palm," said Venter, a conservation

  6. Regional variations in US residential sector fuel prices: implications for development of building energy performance standards

    SciTech Connect (OSTI)

    Nieves, L.A.; Tawil, J.J.; Secrest, T.J.

    1981-03-01T23:59:59.000Z

    The Notice of Proposed Rulemaking for Energy Performance Standards for New Buildings presented life-cycle-cost based energy budgets for single-family detached residences. These energy budgets varied with regional climatic conditions but were all based on projections of national average prices for gas, oil and electricity. The Notice of Proposed Rulemaking indicated that further analysis of the appropriateness of various price measures for use in setting the Standards was under way. This part of that ongoing analysis addresses the availability of fuel price projections, the variation in fuel prices and escalation rates across the US and the effects of aggregating city price data to the state, Region, or national level. The study only provides a portion of the information required to identify the best price aggregation level for developing of the standards. The research addresses some of the economic efficiency considerations necessary for design of a standard that affects heterogeneous regions. The first section discusses the effects of price variation among and within regions on the efficiency of resource allocation when a standard is imposed. Some evidence of the extreme variability in fuel prices across the US is presented. In the second section, time series, cross-sectional fuel price data are statistically analyzed to determine the similarity in mean fuel prices and price escalation rates when the data are treated at increasing levels of aggregation. The findings of this analysis are reported in the third section, while the appendices contain price distributions details. The last section reports the availability of price projections and discusses some EIA projections compared with actual prices.

  7. Best Buys and Unit Pricing

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02T23:59:59.000Z

    This guide explains how to determine a unit price--the cost of an item based on a specific unit such as pound or ounce. Unit pricing can be used to identify foods that are the most economical....

  8. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

    2.3 Wholesale Price vs. Retailof Adjustment - Regular Price, Sales Price and Wholesaleand Vertical Structure -Wholesale price (Weeks)100 Price

  9. Demand for gasoline is more price-inelastic than commonly thought

    E-Print Network [OSTI]

    Havranek, Tomas; Irsova, Zuzana; Janda, Karel

    2011-01-01T23:59:59.000Z

    demand and distillate fuel oil demand. ” Energy Economics 7(demand and consumer price expectations: An empirical investigation of the consequences from the recent oil

  10. e n e r g y Unconventional Oil Production

    E-Print Network [OSTI]

    Stuck In A Rock; A Hard Place; M. Engemann; Michael T. Owyang

    Highly variable oil prices and increasing world demand for oil have led producers to look for alternative sources of transportation fuel. Two popular alternatives are oil sands (aka tar sands) and oil shale. However, obtaining usable oil from oil sands or oil shale is more capital-intensive and more expensive than obtaining oil from conventional reserves. At what price of oil do these alternatives become cost-effective? Oil Sands Oil sands are a mixture of sand, water, clay and heavy, viscous oil called bitumen. The largest known deposits of oil sands are in Alberta, Canada, and the Orinoco Oil

  11. SOLVENT-BASED ENHANCED OIL RECOVERY PROCESSES TO DEVELOP WEST SAK ALASKA NORTH SLOPE HEAVY OIL RESOURCES

    SciTech Connect (OSTI)

    David O. Ogbe; Tao Zhu

    2004-01-01T23:59:59.000Z

    A one-year research program is conducted to evaluate the feasibility of applying solvent-based enhanced oil recovery processes to develop West Sak and Ugnu heavy oil resources found on the Alaska North Slope (ANS). The project objective is to conduct research to develop technology to produce and market the 300-3000 cp oil in the West Sak and Ugnu sands. During the first phase of the research, background information was collected, and experimental and numerical studies of vapor extraction process (VAPEX) in West Sak and Ugnu are conducted. The experimental study is designed to foster understanding of the processes governing vapor chamber formation and growth, and to optimize oil recovery. A specially designed core-holder and a computed tomography (CT) scanner was used to measure the in-situ distribution of phases. Numerical simulation study of VAPEX was initiated during the first year. The numerical work completed during this period includes setting up a numerical model and using the analog data to simulate lab experiments of the VAPEX process. The goal was to understand the mechanisms governing the VAPEX process. Additional work is recommended to expand the VAPEX numerical study using actual field data obtained from Alaska North Slope.

  12. SURFACTANT BASED ENHANCED OIL RECOVERY AND FOAM MOBILITY CONTROL

    SciTech Connect (OSTI)

    George J. Hirasaki; Clarence A. Miller; Gary A. Pope; Richard E. Jackson

    2004-07-01T23:59:59.000Z

    Surfactant flooding has the potential to significantly increase recovery over that of conventional waterflooding. The availability of a large number of surfactants makes it possible to conduct a systematic study of the relation between surfactant structure and its efficacy for oil recovery. Also, the addition of an alkali such as sodium carbonate makes possible in situ generation of surfactant and significant reduction of surfactant adsorption. In addition to reduction of interfacial tension to ultra-low values, surfactants and alkali can be designed to alter wettability to enhance oil recovery. An alkaline surfactant process is designed to enhance spontaneous imbibition in fractured, oil-wet, carbonate formations. It is able to recover oil from dolomite core samples from which there was no oil recovery when placed in formation brine. Mobility control is essential for surfactant EOR. Foam is evaluted to improve the sweep efficiency of surfactant injected into fractured reservoirs. UTCHEM is a reservoir simulator specially designed for surfactant EOR. A dual-porosity version is demonstrated as a potential scale-up tool for fractured reservoirs.

  13. Towards value-based pricing--An integrative framework for decision making

    E-Print Network [OSTI]

    MuĂ°an, UĂ°urhan

    re- search by McKinsey & Company has shown that less than 15% of companies do any systematic research involving the pricing decision for a major product launch at a global chemical company. D 2003 Elsevier Inc Fortune 500 Company. Tel.: +43-173-39-14-064. E-mail address: andreas@hinterhuber.org (A. Hinterhuber). 1

  14. Optimal Real-time Pricing Algorithm Based on Utility Maximization for Smart Grid

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    tool to develop efficient demand side management strategies, we propose a novel real-time pricing the need to develop new methods for demand side management (DSM). There is a wide range of DSM techniques consumption occurs in buildings [2]. In addition, the arising of new types of demand such as plug-in hybrid

  15. Milk Pricing

    E-Print Network [OSTI]

    Anderson, David P.; Haigh, Michael; Stockton, Matthew; Schwart Jr., Robert B.

    2001-09-10T23:59:59.000Z

    This publication discusses the federal orders that govern the marketing of milk. The production location and form of the milk product affect the way it is priced. The different classes of milk and their prices are explained in detail....

  16. Cheese Prices

    E-Print Network [OSTI]

    Schwart Jr., Robert B.; Anderson, David P.; Knutson, Ronald D.

    2003-08-25T23:59:59.000Z

    Cheese prices are derived from the USDA Agricultural Marketing Service Market News, the National Agricultural Statistics Service, and the Chicago Mercantile Exchange. This publication explains the process of cheese pricing. It includes information...

  17. Regular price

    E-Print Network [OSTI]

    D-LINK DWL-1000AP 802.11B Wireless LAN Access Point 11Mbps Best Deal On Earth! Regular price: $399.00. Sale price: $234.00. DWL-120> D-LINK ...

  18. FEDERAL RESERVE BANK OF DALLASWhat Drives Natural Gas Prices?

    E-Print Network [OSTI]

    Stephen P. A. Brown; Mine K. Yücel; Stephen P. A. Brown; Mine K. Yücel

    2007-01-01T23:59:59.000Z

    Abstract: For many years, fuel switching between natural gas and residual fuel oil kept natural gas prices closely aligned with those for crude oil. More recently, however, the number of U.S. facilities able to switch between natural gas and residual fuel oil has declined, and over the past five years, U.S. natural gas prices have been on an upward trend with crude oil prices but with considerable independent movement. Natural gas market analysts generally emphasize weather and inventories as drivers of natural gas prices. Using an error-correction model, we show that when these and other additional factors are taken into account, movements in crude oil prices have a prominent role in shaping natural gas prices. Our findings imply a continuum of prices at which natural gas and petroleum products are substitutes.

  19. Oil and macroeconomy in China.

    E-Print Network [OSTI]

    Hu, Lin

    2008-01-01T23:59:59.000Z

    ??This paper uses two different approaches to investigate the relationship between the oil price shock and the macroeconomy in China. The first approach is the… (more)

  20. Surfactant Based Enhanced Oil Recovery and Foam Mobility Control

    SciTech Connect (OSTI)

    George J. Hirasaki; Clarence A. Miller; Gary A. Pope

    2005-07-01T23:59:59.000Z

    Surfactant flooding has the potential to significantly increase recovery over that of conventional waterflooding. The availability of a large number of surfactant structures makes it possible to conduct a systematic study of the relation between surfactant structure and its efficacy for oil recovery. A combination of two surfactants was found to be particularly effective for application in carbonate formations at low temperature. A formulation has been designed for a particular field application. The addition of an alkali such as sodium carbonate makes possible in situ generation of surfactant and significant reduction of surfactant adsorption. In addition to reduction of interfacial tension to ultra-low values, surfactants and alkali can be designed to alter wettability to enhance oil recovery. The design of the process to maximize the region of ultra-low IFT is more challenging since the ratio of soap to synthetic surfactant is a parameter in the conditions for optimal salinity. Compositional simulation of the displacement process demonstrates the interdependence of the various components for oil recovery. An alkaline surfactant process is designed to enhance spontaneous imbibition in fractured, oil-wet, carbonate formations. It is able to recover oil from dolomite core samples from which there was no oil recovery when placed in formation brine. Mobility control is essential for surfactant EOR. Foam is evaluated to improve the sweep efficiency of surfactant injected into fractured reservoirs. UTCHEM is a reservoir simulator specially designed for surfactant EOR. It has been modified to represent the effects of a change in wettability. Simulated case studies demonstrate the effects of wettability.

  1. An overview of alternative fossil fuel price and carbon regulation scenarios

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2004-10-01T23:59:59.000Z

    The benefits of the Department of Energy's research and development (R&D) efforts have historically been estimated under business-as-usual market and policy conditions. In recognition of the insurance value of R&D, however, the Office of Energy Efficiency and Renewable Energy (EERE) and the Office of Fossil Energy (FE) have been exploring options for evaluating the benefits of their R&D programs under an array of alternative futures. More specifically, an FE-EERE Scenarios Working Group (the Working Group) has proposed to EERE and FE staff the application of an initial set of three scenarios for use in the Working Group's upcoming analyses: (1) a Reference Case Scenario, (2) a High Fuel Price Scenario, which includes heightened natural gas and oil prices, and (3) a Carbon Cap-and-Trade Scenario. The immediate goal is to use these scenarios to conduct a pilot analysis of the benefits of EERE and FE R&D efforts. In this report, the two alternative scenarios being considered by EERE and FE staff--carbon cap-and-trade and high fuel prices--are compared to other scenarios used by energy analysts and utility planners. The report also briefly evaluates the past accuracy of fossil fuel price forecasts. We find that the natural gas prices through 2025 proposed in the FE-EERE Scenarios Working Group's High Fuel Price Scenario appear to be reasonable based on current natural gas prices and other externally generated gas price forecasts and scenarios. If anything, an even more extreme gas price scenario might be considered. The price escalation from 2025 to 2050 within the proposed High Fuel Price Scenario is harder to evaluate, primarily because few existing forecasts or scenarios extend beyond 2025, but, at first blush, it also appears reasonable. Similarly, we find that the oil prices originally proposed by the Working Group in the High Fuel Price Scenario appear to be reasonable, if not conservative, based on: (1) the current forward market for oil, (2) current oil prices, (3) externally generated oil price forecasts, and (4) the historical difficulty in accurately forecasting oil prices. Overall, a spread between the FE-EERE High Oil Price and Reference scenarios of well over $8/bbl is supported by the literature. We conclude that a wide range of carbon regulation scenarios are possible, especially within the time frame considered by EERE and FE (through 2050). The Working Group's Carbon Cap-and-Trade Scenario is found to be less aggressive than many Kyoto-style targets that have been analyzed, and similar in magnitude to the proposed Climate Stewardship Act. The proposed scenario is more aggressive than some other scenarios found in the literature, however, and ignores carbon banking and offsets and does not allow nuclear power to expand. We are therefore somewhat concerned that the stringency of the proposed carbon regulation scenario in the 2010 to 2025 period will lead to a particularly high estimated cost of carbon reduction. As described in more detail later, we encourage some flexibility in the Working Group's ultimate implementation of the Carbon Cap-and-Trade Scenario. We conclude by identifying additional scenarios that might be considered in future analyses, describing a concern with the proposed specification of the High Fuel Price Scenario, and highlighting the possible difficulty of implementing extreme scenarios with current energy modeling tools.

  2. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15T23:59:59.000Z

    A contract with K-class pricing divides a large set of goods or services into K classes and assigns a single price to any element of a class. Class pricing can be efficient when several different versions may be traded and ...

  3. Item # Item Description Unit Size Supplier # Supplier Name Price Busch Stockroom Product List

    E-Print Network [OSTI]

    Garfunkel, Eric

    Item # Item Description Unit Size Supplier # Supplier Name Price Qty On Hand Last Price Update;Item # Item Description Unit Size Supplier # Supplier Name Price Qty On Hand Last Price Update BuschGas 1.00 3,559 03/20/2014 797 Oil Vacuum Pump - 1 Liter S41455 Fisher 9.48 0 03/27/2008 796 Oil Vacuum

  4. Modeling of Energy Production Decisions: An Alaska Oil Case Study

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    Oil Production The production of crude oil can generally beNorth Slope crude, Q it is the oil production per perioddiscoveries, production, costs, and prices of crude oil. ”

  5. A Linear Time Algorithm for Pricing European Sequential Barrier Peng Gao Ron van der Meyden

    E-Print Network [OSTI]

    van der Meyden, Ron

    option contract states an agreed price for a crude oil transaction 3 months in the future of the date depends on the current crude oil market price and expectations concerning price movements. Although period. Option con- tracts are one simple kind of financial derivative. For example, a 3-month crude oil

  6. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

  7. Table 1. Crude Oil Prices

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

    16.91 1997 ... 17.23 16.94 18.11 19.61 18.53 19.04 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  8. Table 1. Crude Oil Prices

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

    9.39 9.81 1998 ... 10.87 10.76 11.84 13.18 12.04 12.52 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  9. Table 1. Crude Oil Prices

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

    23.30 1996 ... 18.46 19.32 20.31 20.77 20.64 20.71 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  10. Table 1. Crude Oil Prices

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

    17.54 1995 ... 14.62 15.69 16.78 17.33 17.14 17.23 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  11. Table 1. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    1997 January ... 21.76 21.19 22.21 24.25 23.02 23.59 February ... 19.38 18.99 19.98 22.49 20.88 21.64 March ......

  12. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheating oilheating

  13. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheating

  14. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheatingheating

  15. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B

  16. Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

  17. Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

  18. Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

  19. Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

  20. Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

  1. Forecasting the Price of Oil

    E-Print Network [OSTI]

    Ron Alquist; Lutz Kilian; Robert J. Vigfusson; Ron Alquist; Lutz Kilian; Robert J. Vigfusson

    2011-01-01T23:59:59.000Z

    NOTE: International Finance Discussion Papers are preliminary materials circulated to stimulate discussion and critical comment. References in publications to International Finance Discussion Papers (other than an acknowledgment that the writer has had access to unpublished material) should be cleared with the author or authors. Recent IFDPs are available on the Web at www.federalreserve.gov/pubs/ifdp/. This paper can be downloaded without charge from Social

  2. Soy-Based, Water-Cooled, TC W-III Two Cycle Engine Oil

    SciTech Connect (OSTI)

    Scharf, Curtis R.; Miller, Mark E.

    2003-08-30T23:59:59.000Z

    The objective of this project was to achieve technical approval and commercial launch for a biodegradable soy oil-based, environmentally safe, TC W-III performance, water-cooled, two cycle engine oil. To do so would: (1) develop a new use for RBD soybean oil; (2) increase soybean utilization in North America in the range of 500 K-3.0 MM bushels; and (3) open up supply opportunities of 1.5-5.0 MM bushels worldwide. These goals have been successfully obtained.

  3. Topological and thermal properties of polypropylene composites based on oil palm biomass

    SciTech Connect (OSTI)

    Bhat, A. H., E-mail: aamir.bhat@petronas.com.my, E-mail: anie-yal88@yahoo.com; Dasan, Y. K., E-mail: aamir.bhat@petronas.com.my, E-mail: anie-yal88@yahoo.com [Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, 31750 Perak (Malaysia)

    2014-10-24T23:59:59.000Z

    Roughness on pristine and polymer composite surfaces is of enormous practical importance for polymer applications. This study deals with the use of varying quantity of oil palm ash as a nanofiller in a polypropylene based matrix. The oil palm ash sample was preprocessed to break the particles into small diameter by using ultra sonication before using microfluidizer for further deduction in size and homogenization. The oil palm ash was made to undergo many passes through the microfluidizer for fine distribution of particles. Polypropylene based composites containing different loading percentage oil palm ash was granulated by twin screw extruder and then injection molded. The surface morphology of the OPA passed through microfluidizer was analyzed by Tapping Mode - Atomic Force Microscopy (TMAFM). Thermal analysis results showed an increase in the activation energy values. The thermal stability of the composite samples showed improvement as compared to the virgin polymer as corroborated by the on-set degradation temperatures and the temperatures at which 50% degradation occurred.

  4. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    flow directly from the refinery to wholesaler, to retailer,of No. 2 heating oil for the refinery, wholesale and retailfirst system monitored refinery, wholesale and retail price

  5. The monetary approach to the balance of payments: The case of the oil-based, small, open, developing economies of Libya, Kuwait and Saudi Arabia

    SciTech Connect (OSTI)

    Buzakuk, M.R.

    1988-01-01T23:59:59.000Z

    This study explores the determinants of foreign reserves flow in light of the oil-based small open economies of Libya, Kuwait, and Saudi Arabia. The period of study encompasses the major oil price increases of the 1970s and early 1980s, which had led to the huge transfers of foreign exchanges towards these, among other, developing economies. The framework of analysis is basically a monetary approach to the balance of payments. This study is of both a theoretical and empirical nature. It utilizes the monetary forces in the domestic money market to derive a basic balance of payments (BOP) equation that explains the monetary nature of the balance of payments. The study found that the data from those countries support the monetary relationships as hypothesized by the monetary approach, especially the negative one-to-one relation between domestic credit (DC) and the BOP. Results from the simultaneous estimations of the BOP and DC reported better estimates than the single-equation model. Findings from the reaction function indicated that the monetary authorities of these oil-based economies were actively sterilizing the effect of foreign reserve flows. Findings supported the integrated market hypothesis in Kuwait and Libya, but not in the Saudi case.

  6. Evaluation of solvent-based in situ processes for upgrading and recovery of heavy oil bitumen

    SciTech Connect (OSTI)

    Duerksen, J.H.; Eloyan, A. [Chevron Petroleum Technology Co., La Habra, CA (United States)

    1995-12-31T23:59:59.000Z

    Solvent-based in situ recovery processes have been proposed as lower cost alternatives to thermal processes for recovery of heavy oil and bitumen. Advantages of solvent based processes are: reduced steam requirements, reduced water treating, and in situ upgrading of the produced oil. Lab results and process calculations show that low-pressure, low-energy solvent-based in situ processes have considerable technical and economic potential for upgrading and recovery of bitumen and heavy oil. In a lab flow test using Athabasca tar sand and propane as solvent, 50 percent of the bitumen was recovered as upgraded oil. Relative to the raw bitumen, API gravity increased by about 10{degrees}API, viscosity was reduced 30-fold, sulfur content was reduced about 50 percent, and metals content was also substantially reduced. Process uncertainties that will have a major impact on economics are: (1) oil production rate, (2) oil recovery, (3) extent of in situ upgrading, and (4) solvent losses. Additional lab development and field testing are required to reduce these process uncertainties and to predict commercial-scale economics.

  7. Review Article Replacing fossil oil with fresh oil – with what and for what?

    E-Print Network [OSTI]

    Anders S. Carlsson; Jenny Lindberg Yilmaz; Allan G. Green; Sten Stymne; Per Hofv

    Industrial chemicals and materials are currently derived mainly from fossil-based raw materials, which are declining in availability, increasing in price and are a major source of undesirable greenhouse gas emissions. Plant oils have the potential to provide functionally equivalent, renewable and environmentally friendly replacements for these finite fossil-based raw materials, provided that their composition can be matched to end-use requirements, and that they can be produced on sufficient scale to meet current and growing industrial demands. Replacement of 40 % of the fossil oil used in the chemical industry with renewable plant oils, whilst ensuring that growing demand for food oils is also met, will require a trebling of global plant oil production from current levels of around 139 MT to over 400 MT annually. Realisation of this potential will rely on application of plant biotechnology to (i) tailor plant oils to have high purity (preferably>90%) of single desirable fatty acids, (ii) introduce unusual fatty acids that have specialty end-use functionalities and (iii) increase plant oil production capacity by increased oil content in current oil crops, and conversion of other high biomass crops into oil accumulating crops. This review outlines recent progress and future challenges in each of these areas. Practical applications: The research reviewed in this paper aims to develop metabolic engineering technologies to radically increase the yield and alter the fatty acid composition of plant oils and enable the

  8. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

    Small Regular Price Changes . . . . . . . . . . . . . . .4 The Cyclicality of Effective Prices2.3 Wholesale Price vs. Retail

  9. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

    of Oammittee) Ra A. ietrzch C. J ~) Daru. I (Heai of August l987 Price Detezlainatian for Breeding Bulls. (August 1987) Jerry Carl Namkan, B. S. , Texas A&M University; Chair of Advisory Committee: Dr. Donald E. Ferris A study using two different data... sets was conducted to determine the factors affecting the price of zmg~ Hereford hulls. In the first data set, both ~ and lagged national ~ feeder steer, utility cow, and crude oil prices, and net farm income were analyzed in a regzmsion procedure...

  10. Essays on Three Price Judgments: Price Fairness, Price Magnitude, and Price Expectation.

    E-Print Network [OSTI]

    Bhowmick, Sandeep

    2010-01-01T23:59:59.000Z

    ??This dissertation addresses three important price judgments: price fairness, price magnitude, and price expectation. Developed over three chapters, the main objective of this research is… (more)

  11. Statements on Oil by the Energy Committee at

    E-Print Network [OSTI]

    Keeling, Stephen L.

    , the same percentage increase in the crude oil price will be less problematic for Sweden and other European countries because of our tax system (the crude oil's share, c. 25%, in the gasoline price is quite small, it is important that the poorer countries have access to oil at reasonable prices to meet their development goals

  12. 25. anniversary of the 1973 oil embargo: Energy trends since the first major U.S. energy crisis

    SciTech Connect (OSTI)

    NONE

    1998-08-01T23:59:59.000Z

    The purpose of this publication is not to assess the causes of the 1973 energy crisis or the measures that were adopted to resolve it. The intent is to present some data on which such analyses can be based. Many of the trends presented here fall into two distinct periods. From 1973 to the mid-1980`s, prices continued at very high levels, in part because of a second oil shock in 1979--80. During this period, rapid progress was made in raising American oil production, reducing dependence on oil imports, and improving end-use efficiency. After the oil price collapse of the mid-1980`s, however, prices retreated to more moderate levels, the pace of efficiency gains slowed, American oil production fell, and the share of imports rose. 30 figs.

  13. Volatility in natural gas and oil markets

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2003-01-01T23:59:59.000Z

    Using daily futures price data, I examine the behavior of natural gas and crude oil price volatility since 1990. I test whether there has been a significant trend in volatility, whether there was a short-term increase in ...

  14. ORNL/TM-2005/45 COSTS OF U.S. OIL DEPENDENCE: 2005 UPDATE

    E-Print Network [OSTI]

    ..........................................................................................29 5.2 CASE 1A: OIL PRICE ELASTICITY OF GDP VARIES WITH OIL COST SHARE .......................................................................................................36 5.3 CASE 1B: OIL PRICE ELASTICITY OF GDP CONSTANT OVER TIME ......37 5.4 CASE 2: STOCHASTIC ....................................................................................40 5.6 THE IMPACT OF CONTINUED HIGH OIL PRICES IN 2005..........................42 6. CONCLUSIONS

  15. Surfactant Based Enhanced Oil Recovery and Foam Mobility Control

    SciTech Connect (OSTI)

    George J. Hirasaki; Clarence A. Miller

    2006-09-09T23:59:59.000Z

    Surfactant flooding has the potential to significantly increase recovery over that of conventional waterflooding. The availability of a large number of surfactant structures makes it possible to conduct a systematic study of the relation between surfactant structure and its efficacy for oil recovery. A mixture of two surfactants was found to be particularly effective for application in carbonate formations at low temperature. The mixture is single phase for higher salinity or calcium concentrations than that for either surfactant used alone. This makes it possible to inject the surfactant slug with polymer close to optimal conditions and yet be single phase. A formulation has been designed for a particular field application. It uses partially hydrolyzed polyacrylamide for mobility control. The addition of an alkali such as sodium carbonate makes possible in situ generation of naphthenic soap and significant reduction of synthetic surfactant adsorption. The design of the process to maximize the region of ultra-low IFT takes advantage of the observation that the ratio of soap to synthetic surfactant is a parameter in the conditions for optimal salinity. Even for a fixed ratio of soap to surfactant, the range of salinity for low IFT was wider than that reported for surfactant systems in the literature. Low temperature, forced displacement experiments in dolomite and silica sandpacks demonstrate that greater than 95% recovery of the waterflood remaining oil is possible with 0.2% surfactant concentration, 0.5 PV surfactant slug, with no alcohol. Compositional simulation of the displacement process demonstrates the role of soap/surfactant ratio on passage of the profile through the ultralow IFT region, the importance of a wide salinity range of low IFT, and the importance of the viscosity of the surfactant slug. Mobility control is essential for surfactant EOR. Foam is evaluated to improve the sweep efficiency of surfactant injected into fractured reservoirs as well as a drive fluid for ASP flooding. UTCHEM is a reservoir simulator specially designed for surfactant EOR. It has been modified to represent the effects of a change in wettability produced by surfactant injection.

  16. Classification of Commodity Price Forecast With Random Forests and Bayesian

    E-Print Network [OSTI]

    de Freitas, Nando

    or natural gas can impact everything from the21 critical business decisions made within nations on the sentiment of price39 forecasts and reports for commodities such as gold, natural gas or most commonly oil economy. Commodity prices are key economical20 drivers in the market. Raw products such as oil, gold

  17. Preparation and characterization of a viscosity index improver for naphthenic and paraffinic base oils

    SciTech Connect (OSTI)

    Bataille, P. (Ecole Polytechnique de Montreal (Canada)); Sharifi-Sangani, N.; Evin, E. (Univ. of Tehran (Iran, Islamic Republic of))

    1994-02-01T23:59:59.000Z

    Copolymers of [alpha]-methyl styrene and 2-ethylhexyl acrylate were prepared in a benzene solution. The presence of the copolymers were confirmed by solubility, IR and NMR tests. The molecular weight and the polydispersity of the polymers were estimated by GPC. The copolymers obtained were blended with paraffinic and naphthenic base oils. The viscosity, the viscosity index (VI), the Q value as well as the stability to shear and oxidation were obtained for these blends. The results are compared with the results obtained with an oil blend containing a commonly used high temperature additive. Two of the copolymers obtained have shown to be good alternatives for specific applications.

  18. Simulating the daily gasoline price-setting behaviour of gas stations in Cincinnati by agent-based modeling.

    E-Print Network [OSTI]

    Zhou, Li

    2009-01-01T23:59:59.000Z

    ??In the retail gasoline market, gas stations as independent entities set gas prices according to a number of factors related to global and local economic… (more)

  19. Balancing oil and environment... responsibly.

    SciTech Connect (OSTI)

    Weimer, Walter C.; Teske, Lisa

    2007-01-25T23:59:59.000Z

    Balancing Oil and Environment…Responsibly As the price of oil continues to skyrocket and global oil production nears the brink, pursuing unconventional oil supplies, such as oil shale, oil sands, heavy oils, and oils from biomass and coal has become increasingly attractive. Of particular significance to the American way is that our continent has significant quantities of these resources. Tapping into these new resources, however, requires cutting-edge technologies for identification, production, processing and environmental management. This job needs a super hero or two for a job of this size and proportion…

  20. Analytical investigations of the earthquake resistance of the support base of an oil-gas platform

    SciTech Connect (OSTI)

    Glagovskii, V. B.; Kassirova, N. A.; Turchina, O. A.; Finagenov, O. M.; Tsirukhin, N. A. [JSC 'VNIIG im. B. E. Vedeneeva' (Russian Federation)

    2012-01-15T23:59:59.000Z

    In designing stationary oil-gas recovery platforms on the continental shelf, the need arises to compute the estimated strength of their support base during seismic events. This paper is devoted to this estimation. The paper examines a structure consisting of the superstructure of an oil-gas platform and its gravity-type base. It is possible to install earthquake-insulating supports between them. Calculations performed for the design earthquake indicated that the design of the gravity base can resist a seismic effect without special additional measures. During the maximum design earthquake, moreover, significant stresses may develop in the zone of base where the columns are connected to the upper slab of the caisson. In that case, the earthquake insulation considered for the top of the platform becomes critical.

  1. 150 Years of Boom and Bust: What Drives Mineral Commodity Prices?

    E-Print Network [OSTI]

    Nesterov, Yurii

    and production levels of copper, lead, tin, zinc, and crude oil from 1840 to 2010. Price fluctuations that price surges caused by rapid industrialization are a recurrent phenomenon throughout history. Mineral that supply shocks account for the broad behavior of the price of crude oil. In contrast, Kilian (2008b, 2009

  2. Drunk On Oil: Russian Foreign Policy 2000-2007

    E-Print Network [OSTI]

    Brugato, Thomas

    2008-01-01T23:59:59.000Z

    10% of the world’s known oil reserves. 13 Russia holds the141 No new major oil reserves have been found since 2000,aggregation oil prices and foreign reserves have about the

  3. Dynamics of the Oil Transition: Modeling Capacity, Costs, and Emissions

    E-Print Network [OSTI]

    Brandt, Adam R.; Farrell, Alexander E.

    2008-01-01T23:59:59.000Z

    and income on energy and oil demand. Energy Journal, 23(1):scenario, with demand and conventional oil endowment set toPrice elasticity of demand for crude oil: estimates for 23

  4. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01T23:59:59.000Z

    The hypothesis of this paper is that crude oil, like any other unfinished commodity, is valued for the products derived from it; the purpose is to offer an empirical explanation for changes in the crude price charged by the members of OPEC. The model results show that the market-clearing prices reported to prevail for petroleum products on the principal petroleum spot market at Rotterdam are the primary determinants of changes in official crude prices. A systematic relationship between offical and spot prices is argued to have prevailed since 1974. An appendix clarifies five types of data required for the model. 13 references, 4 tables.

  5. Average Commercial Price

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: Oil andCitygate Price

  6. Average Residential Price

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: OilCitygate Price

  7. Average Residential Price

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: OilCitygate Price

  8. Impact of price specials on estimates of retail meat prices

    E-Print Network [OSTI]

    Degner, Robert L

    1970-01-01T23:59:59.000Z

    ighting Technique V. V. SUM'JARA' AND CONCLUSIONS. 46 55 o3 69 Ti. me-of-the-Week to Collect Prices. Bias Reduced by Regression. Concluding Statement. REFEBENCES. APPENDIX. 89 90 95 100 115 vill LIST OF TABLES Table Page 1-1. Relative...' or individual items in Dallas and Houston. 101 3-1. Simulated BLS price estimates of 46 meat items based upon different sampling rates and weighted average price, or all data, July 1968. . . . . . . . . . . . 107 "Error" of price estimates; differences...

  9. Energy Policy 34 (2006) 515531 Have we run out of oil yet? Oil peaking analysis from

    E-Print Network [OSTI]

    price shocks and economic downturns. Over the next 30 years oil demand is expected to grow by 60Energy Policy 34 (2006) 515­531 Have we run out of oil yet? Oil peaking analysis from an optimist of conventional oil production from an optimist's perspective. Is the oil peak imminent? What is the range

  10. GIS-and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development

    SciTech Connect (OSTI)

    Zhou, Wei (Wendy) [Wendy; Minnick, Matthew; Geza, Mengistu; Murray, Kyle; Mattson, Earl

    2012-09-30T23:59:59.000Z

    The Colorado School of Mines (CSM) was awarded a grant by the National Energy Technology Laboratory (NETL), Department of Energy (DOE) to conduct a research project en- titled GIS- and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development in October of 2008. The ultimate goal of this research project is to develop a water resource geo-spatial infrastructure that serves as “baseline data” for creating solutions on water resource management and for supporting decisions making on oil shale resource development. The project came to the end on September 30, 2012. This final project report will report the key findings from the project activity, major accomplishments, and expected impacts of the research. At meantime, the gamma version (also known as Version 4.0) of the geodatabase as well as other various deliverables stored on digital storage media will be send to the program manager at NETL, DOE via express mail. The key findings from the project activity include the quantitative spatial and temporal distribution of the water resource throughout the Piceance Basin, water consumption with respect to oil shale production, and data gaps identified. Major accomplishments of this project include the creation of a relational geodatabase, automated data processing scripts (Matlab) for database link with surface water and geological model, ArcGIS Model for hydrogeologic data processing for groundwater model input, a 3D geological model, surface water/groundwater models, energy resource development systems model, as well as a web-based geo-spatial infrastructure for data exploration, visualization and dissemination. This research will have broad impacts of the devel- opment of the oil shale resources in the US. The geodatabase provides a “baseline” data for fur- ther study of the oil shale development and identification of further data collection needs. The 3D geological model provides better understanding through data interpolation and visualization techniques of the Piceance Basin structure spatial distribution of the oil shale resources. The sur- face water/groundwater models quantify the water shortage and better understanding the spatial distribution of the available water resources. The energy resource development systems model reveals the phase shift of water usage and the oil shale production, which will facilitate better planning for oil shale development. Detailed descriptions about the key findings from the project activity, major accomplishments, and expected impacts of the research will be given in the sec- tion of “ACCOMPLISHMENTS, RESULTS, AND DISCUSSION” of this report.

  11. Credit Price Optimisation within Retail Banking

    E-Print Network [OSTI]

    2013-10-25T23:59:59.000Z

    to a more flexible demand-based pricing strategy, see Skugge (2011). ... Ferguson (2007) bid-response models are presented for customised .... problem, the fundamental building blocks of the credit price optimisation problem is set out below.

  12. Texas Farm Commodity Prices.

    E-Print Network [OSTI]

    Childs, V. C. (Virgil C.); Schlotzhauer, Elbert O.; McNeely, John G.

    1948-01-01T23:59:59.000Z

    the base price of 12.4 cents or 31.12 cents a pound. The parity price for wheat was 2.51 times 88.4 cents or $2.22 per bushel. The parity price of potatoes, however, which is calculated from the base August 1919-July 1929, was 1.66 times $1.12 a bushel....90 1.88 1.86 1.78 1.40 1.08 1.12 1920 0 24 1 36 1 44 1.51 1.62 1.70 1.62 1.42 1.15 .94 .86 1921 80 :86 :88 85 84 82 77 64 51 49 52 1922 .51 .58 .66 .68 .72 .72 .72 .74 .71 .72 .79 1923 .92 .95 1.00 1.04 1.04 1.06 1.03 .98 .98 1.01 1.00 1924 1...

  13. Surfactant Based Enhanced Oil Recovery and Foam Mobility Control

    Office of Scientific and Technical Information (OSTI)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: Crystal structureComposite ForPropertiestoDeptSurfactant Based Enhanced

  14. Biennial Assessment of the Fifth Power Plan Interim Report on Fuel Price Assumptions

    E-Print Network [OSTI]

    . In addition, the delivered price of coal to power plants located in the region will be affected by diesel fuelBiennial Assessment of the Fifth Power Plan Interim Report on Fuel Price Assumptions Summary The Fifth Power Plan includes price forecasts for natural gas, oil, and coal. Natural gas prices have by far

  15. Real Option Pricing with Mean-Reverting Investment and Project Value

    E-Print Network [OSTI]

    Zubelli, Jorge Passamani

    is the valuation of the option to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct result the value of investment in an oil field is also mean-reverting. Consequently, it wouldReal Option Pricing with Mean-Reverting Investment and Project Value Sebastian Jaimungal , Max

  16. Environmental analysis of an Eastern U. S. oil shale hydroretorting data base

    SciTech Connect (OSTI)

    Rex, R.C.; Lynch, P.A.; Hartstein, A.M.

    1985-01-01T23:59:59.000Z

    This paper summarizes the results of a preliminary environmental analysis of the HYTORT data base on eastern oil shale which identifies the potential types and quantities of pollutants emanating directly from hydroretorting. Trace constituents in the product gas and retort sour water are identified and the distribution of raw shale sulfur and nitrogen in the retorting products is determined. Bench scale unit runs performed in a recent HYTORT feasibility study form the data base primarily used for this study. The bench scale unit runs are a comprehensive series of tests which were designed to optimize the operating conditions on Indiana New Albany shale. The results of this study provide an indication of the pollutants which may potentially be produced during commercial operation of a HYTORT plant utilizing eastern oil shale, and subsequently, the types of control technologies which would be necessary.

  17. Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

  18. Price discrimination and limits to arbitrage: An analysis of global LNG markets

    E-Print Network [OSTI]

    Ritz, Robert A.

    2014-07-31T23:59:59.000Z

    -ful?lling properties. 2 large-scale emergence of shale gas over the last few years has put strong downward pressure on US natural gas prices. Second, the US at present only has very limited LNG export capability; its infrastructure still re?ects the assumption... -seller pairings, but information on such individual transactions is generally unavailable. Also widely reported is an LNG price based on the Japanese Crude Cocktail (JCC); this re?ects oil-linked pric- ing formulae that underlie long-term supply contracts? rather...

  19. THE RIMINI PROTOCOL Oil Depletion Protocol

    E-Print Network [OSTI]

    Keeling, Stephen L.

    Soaring oil prices have drawn attention to the issue of the relative supply and demand for crude oil1 THE RIMINI PROTOCOL an Oil Depletion Protocol ~ Heading Off Economic Chaos and Political Conflict During the Second Half of the Age of Oil As proposed at the 2003 Pio Manzu Conference

  20. Assessment of Summer 1997 motor gasoline price increase

    SciTech Connect (OSTI)

    NONE

    1998-05-01T23:59:59.000Z

    Gasoline markets in 1996 and 1997 provided several spectacular examples of petroleum market dynamics. The first occurred in spring 1996, when tight markets, following a long winter of high demand, resulted in rising crude oil prices just when gasoline prices exhibit their normal spring rise ahead of the summer driving season. Rising crude oil prices again pushed gasoline prices up at the end of 1996, but a warm winter and growing supplies weakened world crude oil markets, pushing down crude oil and gasoline prices during spring 1997. The 1996 and 1997 spring markets provided good examples of how crude oil prices can move gasoline prices both up and down, regardless of the state of the gasoline market in the United States. Both of these spring events were covered in prior Energy Information Administration (EIA) reports. As the summer of 1997 was coming to a close, consumers experienced yet another surge in gasoline prices. Unlike the previous increase in spring 1996, crude oil was not a factor. The late summer 1997 price increase was brought about by the supply/demand fundamentals in the gasoline markets, rather than the crude oil markets. The nature of the summer 1997 gasoline price increase raised questions regarding production and imports. Given very strong demand in July and August, the seemingly limited supply response required examination. In addition, the price increase that occurred on the West Coast during late summer exhibited behavior different than the increase east of the Rocky Mountains. Thus, the Petroleum Administration for Defense District (PADD) 5 region needed additional analysis (Appendix A). This report is a study of this late summer gasoline market and some of the important issues surrounding that event.

  1. Potential small-scale development of western oil shale

    SciTech Connect (OSTI)

    Smith, V.; Renk, R.; Nordin, J.; Chatwin, T.; Harnsberger, M.; Fahy, L.J.; Cha, C.Y.; Smith, E.; Robertson, R.

    1989-10-01T23:59:59.000Z

    Several studies have been undertaken in an effort to determine ways to enhance development of western oil shale under current market conditions for energy resources. This study includes a review of the commercial potential of western oil shale products and byproducts, a review of retorting processes, an economic evaluation of a small-scale commercial operation, and a description of the environmental requirements of such an operation. Shale oil used as a blend in conventional asphalt appears to have the most potential for entering today's market. Based on present prices for conventional petroleum, other products from oil shale do not appear competitive at this time or will require considerable marketing to establish a position in the marketplace. Other uses for oil shale and spent shale, such as for sulfur sorbtion, power generation, cement, aggregate, and soil stabilization, are limited economically by transportation costs. The three-state area area consisting of Colorado, Utah, and Wyoming seems reasonable for the entry of shale oil-blended asphalt into the commercial market. From a review of retorting technologies and the product characteristics from various retorting processes it was determined that the direct heating Paraho and inclined fluidized-bed processes produce a high proportion of heavy material with a high nitrogen content. The two processes are complementary in that they are each best suited to processing different size ranges of materials. An economic evaluation of a 2000-b/d shale oil facility shows that the operation is potentially viable, if the price obtained for the shale oil residue is in the top range of prices projected for this product. Environmental requirements for building and operating an oil shale processing facility are concerned with permitting, control of emissions and discharges, and monitoring. 62 refs., 6 figs., 10 tabs.

  2. Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power

    E-Print Network [OSTI]

    Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price as traded on the wholesale, short-term (spot) market at the Mid-Columbia trading hub. This price represents noted. BASE CASE FORECAST The base case wholesale electricity price forecast uses the Council's medium

  3. Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data.

    E-Print Network [OSTI]

    Arslan, Meryem Damla

    2013-01-01T23:59:59.000Z

    ??The Deepwater Horizon oil spill in the Gulf of Mexico between April and July 2010 demonstrated the importance of synoptic oil-spill monitoring in coastal environments… (more)

  4. Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

  5. Table A3. Refiner/Reseller Prices of Distillate and Residual...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Marketing Annual 1999 441 Table A3. RefinerReseller Prices of Distillate and Residual Fuel Oils, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) - Continued...

  6. The Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 to 1996

    E-Print Network [OSTI]

    Ahmad, Sajjad

    that structural breaks may be important. Since the economy depends heavily on oil revenue, oil price shocks haveThe Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 and the price level in the Venezuelan economy. We apply time-series econometric techniques to annual data

  7. Speculation without Oil Stockpiling as a Signature: A Dynamic Perspective

    E-Print Network [OSTI]

    Babusiaux, Denis

    According to the standard analysis of commodity prices, stockpiling is a necessary signature of speculation. This paper develops an approach suggesting that speculation may temporarily push crude oil prices above the level ...

  8. The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices

    E-Print Network [OSTI]

    Kudoyan, Olga

    2012-02-14T23:59:59.000Z

    This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil...

  9. PRICE GOUGING | Department of Energy

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

    PRICE GOUGING PRICE GOUGING PRICE GOUGING More Documents & Publications PRICE GOUGING Department of Energy Response to Hurricane Katrina Fact Sheet Department of Energy Response to...

  10. Dynamic Stochastic Inventory Management with Reference Price Effects

    E-Print Network [OSTI]

    Chen, Xin

    Dynamic Stochastic Inventory Management with Reference Price Effects Xin Chen Department in which demand depends on not only the current selling price but also a memory-based reference price. Pricing and inventory decisions are made simultane- ously at the beginning of each period. Assuming all

  11. Demand growth to continue for oil, resume for gas this year in the U.S.

    SciTech Connect (OSTI)

    Beck, R.J.

    1998-01-26T23:59:59.000Z

    Demand for petroleum products and natural gas in the US will move up again this year, stimulated by economic growth and falling prices. Economic growth, although slower than it was last year, will nevertheless remain strong. Worldwide petroleum supply will rise, suppressing oil prices. Natural gas prices are also expected to fall in response to the decline in oil prices and competitive pressure from other fuels. The paper discusses the economy, total energy consumption, energy sources, oil supply (including imports, stocks, refining, refining margins and prices), oil demand (motor gasoline, jet fuel, distillate fuel, residual fuel oil, and other petroleum products), natural gas demand, and natural gas supply.

  12. Effect of Energy Efficiency Standards on Natural Gas Prices

    E-Print Network [OSTI]

    Carnall, Michael

    2012-01-01T23:59:59.000Z

    of Conservation on the Natural Gas Price,? memo to RichardTheroux, OMB. EIA 2009a. Natural Gas Year in Review (2009),at. http://www.eia.gov/pub/oil_gas/natural_gas/feature_

  13. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08T23:59:59.000Z

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services obtained through conventional procurements. While claims of excessive prices are largely unsubstantiated and based on anecdotal evidence, the perception that there is a problem is shared by many in the ESPC community and has been noted by auditors and oversight organizations. The Price Reasonableness Working Group determined that a more formal emphasis on FAR 15.404-1 in the ESPC process could remove much of the doubt about price reasonableness determinations. The working group's recommended consensus policy on price reasonableness stresses the price analysis techniques described in the FAR that are applicable to ESPCs and includes guidance for agencies use of these techniques in determining price reasonableness for their ESPC delivery orders. The recommended policy and guidance, if communicated to federal ESPC stakeholders, can ensure that agencies will comply with the FAR in awarding ESPCs, obtain fair and reasonable prices and best value for the government, and follow procedures that provide auditable documentation of due diligence in price reasonableness determinations.

  14. The long-run evolution of energy prices

    E-Print Network [OSTI]

    Pindyck, Robert S.

    1999-01-01T23:59:59.000Z

    I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price ...

  15. Taxation and the Extraction of Exhaustible Resources: Evidence From California Oil Production

    E-Print Network [OSTI]

    Rao, Nirupama S.

    Rapid increases in oil prices in 2008 led some to call for special taxes on the oil industry. Because oil is an exhaustible resource, however, the effects of excise taxes on production or on reported producer profits may ...

  16. US military expenditures to protect the use of Persian Gulf oil for motor vehicles

    E-Print Network [OSTI]

    Delucchi, Mark; Murphy, James

    2008-01-01T23:59:59.000Z

    W.D. , 1982. Oil Prices, Energy Security, and Import Policy.of these interests [oil security, regional stability andand even implies that oil security is a minor concern. In

  17. Cost, Conflict and Climate: U.S. Challenges in the World Oil Market

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    industry means that all oil demand pushes up the price ofearly 1980s drove down oil demand by 7% worldwide betweento suggest that the demand side of the world oil market or

  18. Perform research in process development for hydroretorting of Eastern oil shales: Volume 2, Expansion of the Moving-Bed Hydroretorting Data Base for Eastern oil shales

    SciTech Connect (OSTI)

    Not Available

    1989-11-01T23:59:59.000Z

    An extensive data base was developed for six Eastern oil shales: Alabama Chattanooga, Indiana New Albany, Kentucky Sunbury, Michigan Antrim, Ohio Cleveland, and Tennessee Chattanooga shales. The data base included the hydroretorting characteristics of the six shales, as well as the retorting characteristics in the presence of synthesis gas and ionized gas. Shale gasification was also successfully demonstrated. Shale fines (20%) can produce enough hydrogen for the hydroretorting of the remaining 80% of the shale. The amount of fines tolerable in a moving bed was also determined. 16 refs., 59 figs., 43 tabs.

  19. Oil Spill Detection and Mapping Along the Gulf of Mexico Coastline Based on Imaging Spectrometer Data

    E-Print Network [OSTI]

    Arslan, Meryem Damla

    2013-11-27T23:59:59.000Z

    The Deepwater Horizon oil spill in the Gulf of Mexico between April and July 2010 demonstrated the importance of synoptic oil-spill monitoring in coastal environments via remote-sensing methods. This study focuses on terrestrial oil-spill detection...

  20. An Effective Dispersant for Oil Spills Based on Food-Grade Amphiphiles

    E-Print Network [OSTI]

    Rubloff, Gary W.

    examined the ability of food-grade amphiphiles to disperse (emulsify) crude oil in seawater. Our studies to coalescence for a much longer time. The smaller size and stability of crude oil droplets are believed-4 In the case of a large oil spill such as the Deepwater Horizon event in the Gulf of Mexico in 2010, over 2

  1. Model methodology and data description of the Production of Onshore Lower 48 Oil and Gas model

    SciTech Connect (OSTI)

    Not Available

    1988-09-01T23:59:59.000Z

    This report documents the methodology and data used in the Production of Onshore Lower 48 Oil and Gas (PROLOG) model. The model forecasts annual oil and natural gas production on a regional basis. Natural gas is modeled by gas category, generally conforming to categories defined by the Natural Gas Policy Act (NGPA) of 1978, as well as a category representing gas priced by way of a spot market (referred to as ''spot'' gas). A linear program is used to select developmental drilling activities for conventional oil and gas and exploratory drilling activities for deep gas on the basis of their economic merit, subject to constraints on available rotary rigs and constraints based on historical drilling patterns. Using exogenously specified price paths for oil and gas, net present values are computed for fixed amounts of drilling activity for oil and gas development and deep gas exploration in each of six onshore regions. Through maximizing total net present value, the linear program provides forecasts of drilling activities, reserve additions, and production. Oil and shallow gas exploratory drilling activities are forecast on the basis of econometrically derived equations, which are dependent on specified price paths for the two fuels. 10 refs., 3 figs., 10 tabs.

  2. Real Option Pricing with Mean-Reverting Investment and Project Value

    E-Print Network [OSTI]

    Zubelli, Jorge Passamani

    to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct resultReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract to invest in a project enjoy a long and dis- tinguished history. The classical work of McDonald and Siegel

  3. Draft Fourth Northwest Conservation and Electric Power Plan, Appendix C FUEL PRICE FORECASTS

    E-Print Network [OSTI]

    C-1 Draft Fourth Northwest Conservation and Electric Power Plan, Appendix C APPENDIX C FUEL PRICE FORECASTS BACKGROUND Since the Council's 1991 Power Plan, fuel prices have been following the low forecast. Figure C-1 illustrates this for world oil prices, and similar patterns apply to natural gas. The last

  4. An overview of global gold market and gold price forecasting Shahriar Shafiee a,n

    E-Print Network [OSTI]

    Boisvert, Jeff

    into the relationship between gold price and other key influencing variables, such as oil price and global inflationAn overview of global gold market and gold price forecasting Shahriar Shafiee a,n , Erkan Topal b history: Received 6 February 2009 Received in revised form 20 April 2010 Accepted 17 May 2010 Jel

  5. DOCUMENTS DE TRAVAIL -WORKING PAPERS Testing Optimal Punishment Mechanisms under Price

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of market studies indicating that "major Canadian oil companies were going to use price wars, new creditDOCUMENTS DE TRAVAIL - WORKING PAPERS W.P. 06-11 Testing Optimal Punishment Mechanisms under Price under Price Regulation: the Case of the Retail Market for Gasoline By Robert Gagné* , HEC Montréal, CRT

  6. A Branch and Price Approach to the k-Clustering Minimum Biclique ...

    E-Print Network [OSTI]

    2011-09-16T23:59:59.000Z

    work by developing a Branch and Price algorithm that embeds a new metaheuristic based on ... The metaheuristic is also adapted to solve efficiently the pricing.

  7. Price changes in the gasoline market: Are Midwestern gasoline prices downward sticky?

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

    This report examines a recurring question about gasoline markets: why, especially in times of high price volatility, do retail gasoline prices seem to rise quickly but fall back more slowly? Do gasoline prices actually rise faster than they fall, or does this just appear to be the case because people tend to pay more attention to prices when they`re rising? This question is more complex than it might appear to be initially, and it has been addressed by numerous analysts in government, academia and industry. The question is very important, because perceived problems with retail gasoline pricing have been used in arguments for government regulation of prices. The phenomenon of prices at different market levels tending to move differently relative to each other depending on direction is known as price asymmetry. This report summarizes the previous work on gasoline price asymmetry and provides a method for testing for asymmetry in a wide variety of situations. The major finding of this paper is that there is some amount of asymmetry and pattern asymmetry, especially at the retail level, in the Midwestern states that are the focus of the analysis. Nevertheless, both the amount asymmetry and pattern asymmetry are relatively small. In addition, much of the pattern asymmetry detected in this and previous studies could be a statistical artifact caused by the time lags between price changes at different points in the gasoline distribution system. In other words, retail gasoline prices do sometimes rise faster than they fall, but this is largely a lagged market response to an upward shock in the underlying wholesale gasoline or crude oil prices, followed by a return toward the previous baseline. After consistent time lags are factored out, most apparent asymmetry disappears.

  8. Technique for estimating jet fuel prices from energy futures market

    SciTech Connect (OSTI)

    Vineyard, T.A.

    1988-05-01T23:59:59.000Z

    This report presents a statistical analysis of future prices of petroleum products for use in predicting the monthly average retail price of kerosene-type jet fuel. The method of least squares was employed to examine the relationship between kerosene-type jet fuel retail prices and energy futures prices. Regression equations were constructed for four of the petroleum commodities traded on the energy futures market: heating oil No. 2, leaded regular gasoline, crude oil, and unleaded gasoline. Thirty-nine regression equations were estimated by the method of least squares to relate the cash price of kerosene-type jet fuel to the futures prices of the above four petroleum commodities for contract periods of 1 to 12 months. The analysis revealed that 19 of the 39 first-order linear regression equations provided a good fit to the data. Specifically, heating oil No. 2 performed better than the order energy futures in predicting the price of kerosene-type jet fuel. The only information required to use these regression equations are energy futures prices which are available daily from the Wall Street Journal. 5 refs., 4 tabs.

  9. Gasoline Price Pass-through

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion 5Wellhead PriceB.1.Data Collection

  10. Author's personal copy Model-based control of multiphase flow in subsurface oil reservoirs

    E-Print Network [OSTI]

    Van den Hof, Paul

    wells. However, even when using such secondary recovery tech- niques, most of the oil remains trapped t An emerging method to increase the recovery of oil from subsurface reservoirs is the application of mea this primary recovery phase ends, and it will be necessary to inject water or gas into the reservoir

  11. Experimental Study of Solvent Based Emulsion Injection to Enhance Heavy Oil Recovery

    E-Print Network [OSTI]

    Qiu, Fangda

    2011-08-08T23:59:59.000Z

    ............................................................................................................ 6 2. ENHANCED OIL RECOVERY-AN OVERVIEW ................................................... 8 2.1 EOR Mechanism .............................................................................................. 10 2.2 Micro-emulsion and Macro... .................................................. 37 4.2.2 Emulsion Rheology Study Experiments ..................................................... 42 4.2.3 Emulsion and Crude Oil Interfacial Tension Measurement ........................ 46 4.2.4 Nanoparticle Thickened Micro-emulsion Experiments...

  12. Summary Statistics Table 1. Crude Oil Prices

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

    26.68 26.93 2002 ... 22.51 22.63 23.91 24.65 23.71 24.10 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  13. Summary Statistics Table 1. Crude Oil Prices

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

    24.35 24.51 1999 ... 15.56 16.47 17.23 17.90 17.26 17.51 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  14. Summary Statistics Table 1. Crude Oil Prices

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

    17.53 17.54 1995 ... 14.62 15.69 16.78 17.33 17.14 17.23 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  15. Summary Statistics Table 1. Crude Oil Prices

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

    25.19 26.31 2000 ... 26.72 26.27 27.53 29.11 27.70 28.26 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  16. Summary Statistics Table 1. Crude Oil Prices

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

    15.95 16.52 2001 ... 21.84 20.46 21.82 24.33 22.00 22.95 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  17. Do financial investors destabilize the oil price?

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    General Economics, European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Mai, Germany; e-mail: marco.lombardi@ecb.europa.eu 3 Department of Financial Economics, Ghent...

  18. Do financial investors destabilize the oil price?

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesDataTranslocationDiurnal Cycle ofDo New Technologies Matter? Do

  19. Residential heating oil prices virtually unchanged

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating

  20. Residential heating oil prices virtually unchanged

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating5, 2014

  1. Residential heating oil prices virtually unchanged

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating5, 20144

  2. Residential heating oil prices virtually unchanged

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating5, 201449, 2014

  3. Residential heating oil prices virtually unchanged

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating5, 201449,

  4. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993

  5. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

  6. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

  7. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

  8. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

  9. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

  10. Summary Statistics Table 1. Crude Oil Prices

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

  11. STEO January 2013 - world oil prices

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORTSORNRecovery ActRSTEM

  12. Summary Statistics Table 1. Crude Oil Prices

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

    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 on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History Download Series History Definitions, 1993

  13. On Accurate Trinomial GARCH Option Pricing

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    On Accurate Trinomial GARCH Option Pricing Algorithms Advisor: Prof. Yuh-Dauh Lyuu Chun-Yang Liu Department of Computer Science and Information Engineering National Taiwan University #12;Abstract The GARCH-based GARCH option pricing algorithms suffer from exponential running time, inaccuracy, or other problems

  14. COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    of political activity on pharmaceutical prices, focusing on the health care reform period. We characterize health care reform discussions in 1993, large-scale efforts to curb drug prices were debated and seemed everywhere from the Catastrophic Health Insurance Bill to proposals for Medicare coverage of drugs. During

  15. Patterns of crude demand: Future patterns of demand for crude oil as a func-

    E-Print Network [OSTI]

    Langendoen, Koen

    from the perspective of `peak oil', that is from the pers- pective of the supply of crude, and price#12;2 #12;Patterns of crude demand: Future patterns of demand for crude oil as a func- tion is given on the problems within the value chain, with an explanation of the reasons why the price of oil

  16. The Minimum Price Contract

    E-Print Network [OSTI]

    Waller, Mark L.; Amosson, Stephen H.; Welch, Mark; Dhuyvetter, Kevin C.

    2008-10-17T23:59:59.000Z

    A minimum price contract is one of many tools a marketer may use to better manage price and production risk while trying to achieve financial goals and objectives. This publication discusses the advantages and disadvantages involved...

  17. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01T23:59:59.000Z

    Spot pricing covers a range of electric utility pricing structures which relate the marginal costs of electric generation to the prices seen by utility customers. At the shortest time frames prices change every five ...

  18. Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter

    E-Print Network [OSTI]

    Vuik, Kees

    Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter A and variance of the Ornstein-Uhlenbeck process . . . . . . . . . . . . . . . . . . . . 7 2.2 Market price of a future delivery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4 Price valuation

  19. Impact of 1973 Oil Embargo and 2005 Katrina on Energy Efficiency

    E-Print Network [OSTI]

    Mehta, P.

    influence that they had on the world through oil. One of the many results of the oil embargo was higher oil prices all through out the western world, particularly North America. The embargo forced to consider many things about energy..., such as the cost and supply, which up to 1973 no one had worried about. Although the embargo ended only years after it began in 1973, the Oil Producing and Exporting Countries (OPEC) nations had quadrupled the price of oil in the west. The rising oil prices...

  20. Characterization and Combustion Performance of Corn Oil-Based Biofuel Blends

    E-Print Network [OSTI]

    Savant, Gautam Sandesh

    2012-07-16T23:59:59.000Z

    In recent years, the development and use of biofuels have received considerable attention due to the high demand for environmentally acceptable (green) fuels. Most of the recent studies have looked at the processes of converting vegetable oils...

  1. Boron-based Additives in Oil and Grease for Wind Turbine Applications

    E-Print Network [OSTI]

    Kim, Jun-Hyeok

    2013-06-25T23:59:59.000Z

    This research investigates the tribological performance of crystalline and amorphous powders of boron as additives in lubricants: grease and mineral oil for potential applications of wind turbine. This research is focused on the wear resistance...

  2. Comparative analysis of remaining oil saturation in waterflood patterns based on analytical modeling and simulation

    E-Print Network [OSTI]

    Azimov, Anar Etibar

    2006-08-16T23:59:59.000Z

    In assessing the economic viability of a waterflood project, a key parameter is the remaining oil saturation (ROS) within each pattern unit. This information helps in identifying the areas with the highest ROS and thus potential for further...

  3. PRICING COMMODITY DERIVATIVES WITH BASIS RISK AND PARTIAL OBSERVATIONS

    E-Print Network [OSTI]

    Ludkovski, Mike

    LUDKOVSKI Abstract. We study the problem of pricing claims written on an over-the-counter energy con- tractPRICING COMMODITY DERIVATIVES WITH BASIS RISK AND PARTIAL OBSERVATIONS REN´E CARMONA AND MICHAEL. Because the underlying is illiquid, we work with an indifference pricing framework based on a liquid

  4. COST AND PRICE ANALYSIS WORKSHEET Name of Subcontractor

    E-Print Network [OSTI]

    Weston, Ken

    COST AND PRICE ANALYSIS WORKSHEET Name of Subcontractor: The following worksheet is provided. Please call SRS 644-8654 if you have questions about this worksheet. Price Analysis was conducted based person, phone number andother pertinent information. Published price lists form 2 or more vendors; fax

  5. Used Oil and Filter Disposal Used Oil: Create a segregated storage area or container. Label the container "Waste Oil Only".

    E-Print Network [OSTI]

    Maroncelli, Mark

    Used Oil and Filter Disposal Used Oil: Create a segregated storage area or container. Label the container "Waste Oil Only". Maintain a written log to document all amounts and types of oil added to the container. No solvents, oil contaminated with solvents, PCBs, non-petroleum based oils, or any other

  6. Residential Heating Oil Weekly Heating Oil and Propane Prices (October -

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

    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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data 2010Feet) Year

  7. Wholesale Heating Oil Weekly Heating Oil and Propane Prices (October -

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember1. Foreign salesWestern Hemisphere4 Paul

  8. The construction manager is typically selected at the beginning of the design process. The Guaranteed Maximum Price is usually prepared based on 50% Construction Documents. In these typical cases the

    E-Print Network [OSTI]

    Sura, Philip

    The construction manager is typically selected at the beginning of the design process. The Guaranteed Maximum Price is usually prepared based on 50% Construction Documents. In these typical cases and 50% Construction Documents. The deliverable at 50% Construction Documents includes the Guaranteed

  9. Low prices harpoon Canada's mini-boom

    SciTech Connect (OSTI)

    Maciej, H. (Canadian Petroleum Association, Calgary, Alta (CA))

    1989-02-01T23:59:59.000Z

    The authors present an analysis of the year 1988 in the Canadian oil and gas industry. With budgets underpinned by price expectations of $17/bbl to $18/bbl for WTI crude, optimism pervaded industry at the beginning of the year. Budget plans called for total spending of some C$7.6 billion, an increase of 25% over the C$6.1 invested in 1987. Drilling plans would have made 1988 the fourth best year on record with total well completions close to the 9,000-well mark. The year started strongly, as prices performed close to expectations. When prices began to soften and no reversal was apparent, corporate expenditures began to be adjusted in the second half.

  10. Characterization and Alteration of Wettability States of Alaskan Reserviors to Improve Oil Recovery Efficiency (including the within-scope expansion based on Cyclic Water Injection - a pulsed waterflood for Enhanced Oil Recovery)

    SciTech Connect (OSTI)

    Abhijit Dandekar; Shirish Patil; Santanu Khataniar

    2008-12-31T23:59:59.000Z

    Numerous early reports on experimental works relating to the role of wettability in various aspects of oil recovery have been published. Early examples of laboratory waterfloods show oil recovery increasing with increasing water-wetness. This result is consistent with the intuitive notion that strong wetting preference of the rock for water and associated strong capillary-imbibition forces gives the most efficient oil displacement. This report examines the effect of wettability on waterflooding and gasflooding processes respectively. Waterflood oil recoveries were examined for the dual cases of uniform and non-uniform wetting conditions. Based on the results of the literature review on effect of wettability and oil recovery, coreflooding experiments were designed to examine the effect of changing water chemistry (salinity) on residual oil saturation. Numerous corefloods were conducted on reservoir rock material from representative formations on the Alaska North Slope (ANS). The corefloods consisted of injecting water (reservoir water and ultra low-salinity ANS lake water) of different salinities in secondary as well as tertiary mode. Additionally, complete reservoir condition corefloods were also conducted using live oil. In all the tests, wettability indices, residual oil saturation, and oil recovery were measured. All results consistently lead to one conclusion; that is, a decrease in injection water salinity causes a reduction in residual oil saturation and a slight increase in water-wetness, both of which are comparable with literature observations. These observations have an intuitive appeal in that water easily imbibes into the core and displaces oil. Therefore, low-salinity waterfloods have the potential for improved oil recovery in the secondary recovery process, and ultra low-salinity ANS lake water is an attractive source of injection water or a source for diluting the high-salinity reservoir water. As part of the within-scope expansion of this project, cyclic water injection tests using high as well as low salinity were also conducted on several representative ANS core samples. These results indicate that less pore volume of water is required to recover the same amount of oil as compared with continuous water injection. Additionally, in cyclic water injection, oil is produced even during the idle time of water injection. It is understood that the injected brine front spreads/smears through the pores and displaces oil out uniformly rather than viscous fingering. The overall benefits of this project include increased oil production from existing Alaskan reservoirs. This conclusion is based on the performed experiments and results obtained on low-salinity water injection (including ANS lake water), vis-a-vis slightly altering the wetting conditions. Similarly, encouraging cyclic water-injection test results indicate that this method can help achieve residual oil saturation earlier than continuous water injection. If proved in field, this would be of great use, as more oil can be recovered through cyclic water injection for the same amount of water injected.

  11. Time irreversible copula-based Markov Models

    E-Print Network [OSTI]

    Beare, Brendan K.; Seo, Juwon

    2012-01-01T23:59:59.000Z

    retail gasoline markets exhibit prominent Edgeworth priceaverage retail price across a sample of gasoline stations inprice cycles, cost-based pricing and sticky pricing in retail gasoline

  12. Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems

    SciTech Connect (OSTI)

    Greg Thoma; John Veil; Fred Limp; Jackson Cothren; Bruce Gorham; Malcolm Williamson; Peter Smith; Bob Sullivan

    2009-05-31T23:59:59.000Z

    This report describes work performed during the initial period of the project 'Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems.' The specific region that is within the scope of this study is the Fayetteville Shale Play. This is an unconventional, tight formation, natural gas play that currently has approximately 1.5 million acres under lease, primarily to Southwestern Energy Incorporated and Chesapeake Energy Incorporated. The currently active play encompasses a region from approximately Fort Smith, AR east to Little Rock, AR approximately 50 miles wide (from North to South). The initial estimates for this field put it almost on par with the Barnett Shale play in Texas. It is anticipated that thousands of wells will be drilled during the next several years; this will entail installation of massive support infrastructure of roads and pipelines, as well as drilling fluid disposal pits and infrastructure to handle millions of gallons of fracturing fluids. This project focuses on gas production in Arkansas as the test bed for application of proactive risk management decision support system for natural gas exploration and production. The activities covered in this report include meetings with representative stakeholders, development of initial content and design for an educational web site, and development and preliminary testing of an interactive mapping utility designed to provide users with information that will allow avoidance of sensitive areas during the development of the Fayetteville Shale Play. These tools have been presented to both regulatory and industrial stakeholder groups, and their feedback has been incorporated into the project.

  13. Hydration and strength development of binder based on high-calcium oil shale fly ash

    SciTech Connect (OSTI)

    Freidin, C. [Ben-Gurion Univ. of the Negev, Sede-Boqer (Israel)] [Ben-Gurion Univ. of the Negev, Sede-Boqer (Israel)

    1998-06-01T23:59:59.000Z

    The properties of high-calcium oil shale fly ash and low-calcium coal fly ash, which are produced in Israeli power stations, were investigated. High-calcium oil shale fly ash was found to contain a great amount of CaO{sub free} and SO{sub 3} in the form of lime and anhydrite. Mixtures of high-calcium oil shale fly ash and low-calcium coal fly ash, termed fly ash binder, were shown to cure and have improved strength. The influence of the composition and curing conditions on the compressive strength of fly ash binders was examined. The microstructure and the composition of fly ash binder after curing and long-term exposure in moist air, water and open air conditions were studied. It was determined that ettringite is the main variable in the strength and durability of cured systems. The positive effect of calcium silicate hydrates, CSH, which are formed by interaction of high-calcium oil shale fly ash and low-calcium coal fly ash components, on the carbonation and dehydration resistance of fly ash binder in open air is pronounced. It was concluded that high-calcium oil shale fly ash with high CaO{sub free} and SO{sub 3} content can be used as a binder for building products.

  14. Oil shale technology

    SciTech Connect (OSTI)

    Lee, S. (Akron Univ., OH (United States). Dept. of Chemical Engineering)

    1991-01-01T23:59:59.000Z

    Oil shale is undoubtedly an excellent energy source that has great abundance and world-wide distribution. Oil shale industries have seen ups and downs over more than 100 years, depending on the availability and price of conventional petroleum crudes. Market forces as well as environmental factors will greatly affect the interest in development of oil shale. Besides competing with conventional crude oil and natural gas, shale oil will have to compete favorably with coal-derived fuels for similar markets. Crude shale oil is obtained from oil shale by a relatively simple process called retorting. However, the process economics are greatly affected by the thermal efficiencies, the richness of shale, the mass transfer effectiveness, the conversion efficiency, the design of retort, the environmental post-treatment, etc. A great many process ideas and patents related to the oil shale pyrolysis have been developed; however, relatively few field and engineering data have been published. Due to the vast heterogeneity of oil shale and to the complexities of physicochemical process mechanisms, scientific or technological generalization of oil shale retorting is difficult to achieve. Dwindling supplied of worldwide petroleum reserves, as well as the unprecedented appetite of mankind for clean liquid fuel, has made the public concern for future energy market grow rapidly. the clean coal technology and the alternate fuel technology are currently of great significance not only to policy makers, but also to process and chemical researchers. In this book, efforts have been made to make a comprehensive text for the science and technology of oil shale utilization. Therefore, subjects dealing with the terminological definitions, geology and petrology, chemistry, characterization, process engineering, mathematical modeling, chemical reaction engineering, experimental methods, and statistical experimental design, etc. are covered in detail.

  15. Estimation of Several Political Action Effects of Energy Prices

    E-Print Network [OSTI]

    Whitford, Andrew B

    2015-01-01T23:59:59.000Z

    One important effect of price shocks in the United States has been increased political attention paid to the structure and performance of oil and natural gas markets, along with some governmental support for energy conservation. This paper describes how price changes helped lead the emergence of a political agenda accompanied by several interventions, as revealed through Granger causality tests on change in the legislative agenda.

  16. Wholesale marginal prices in competitive generation markets

    SciTech Connect (OSTI)

    Perez-Arriaga, I.J. [National Electric Regulatory Commission, Madrid (Spain)] [National Electric Regulatory Commission, Madrid (Spain); Meseguer, C. [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica] [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica

    1997-05-01T23:59:59.000Z

    Wholesale marginal electricity prices are being used in several actual competitive generation markets worldwide, both to remunerate generators and to charge consumption. These prices must account not only for energy, but also for guarantee of supply in the long and the short term. This paper: (a) provides a sound conceptual and quantitative foundation for wholesale pricing based on generation services, where any existing restrictions in operation or planning in real power markets are accounted for, (b) clearly establishes the relationship between short term marginal costs, long term marginal costs and optimal wholesale electricity prices, and (c) identifies the reasons for mismatches in cost recovery with marginal generation prices. The theoretical results are verified with a detailed realistic power system model.

  17. State Energy Price System: 1982 update

    SciTech Connect (OSTI)

    Imhoff, K.L.; Fang, J.M.

    1984-10-01T23:59:59.000Z

    The State Energy Price System (STEPS) contains estimates of energy prices for ten major fuels (electricity, natural gas, metallurgical coal, steam coal, distillate, motor gasoline, diesel, kerosene/jet fuel, residual fuel, and liquefied petroleum gas), by major end-use sectors (residential, commercial, industrial, transportation, and electric utility), and by state through 1982. Both physical unit prices and prices per million Btu are included in STEPS. Major changes in STEPS data base for 1981 and 1982 are described. The most significant changes in procedures for the updates occur in the residential sector distillate series and the residential sector kerosene series. All physical unit and Btu prices are shown with three significant digits instead of with four significant digits as shown in the original documentation. Details of these and other changes are contained in this report, along with the updated data files. 31 references, 65 tables.

  18. State of Maine residential heating oil survey 2001-02 season summary [SHOPP

    SciTech Connect (OSTI)

    Elder, Betsy

    2002-05-22T23:59:59.000Z

    This, as the title implies, is a summary report of the price trends for heating oil, propane and kerosene heating fuels for the heating season.

  19. A Carbon Molecular Sieve-based Catalyst with Encapsulated Ruthenium Nanoparticles for Bio-oil Stabilization and Upgrading

    E-Print Network [OSTI]

    Mironenko, Alexander

    2012-08-31T23:59:59.000Z

    Pyrolysis oil derived from biomass (bio-oil) is regarded as a potential substitute for petroleum crude for producing environmentally friendly fuels of the future. However, pyrolysis oil upgrading still remains an issue due to its complex composition...

  20. Energy Prices and the Expansion of World Trade

    E-Print Network [OSTI]

    Benjamin Bridgman

    2008-01-01T23:59:59.000Z

    The oil shocks of the 1970s coincided with a number of economic disturbances. However, it has been difficult to develop models where oil shocks have a quantitatively important impact on the economy. In this paper, I show that the disturbances in transportation caused by the oil shocks can significantly affect the economy. I argue that changes in energy prices were responsible for a worldwide slowdown in the growth of trade and may help explain the apparent change in the price-trade elasticity. While tariffs have fallen steadily since 1970, trade growth slowed in the mid-1970s and has grown rapidly since the mid-1980s. In a standard trade model, this pattern implies that the price-import elasticity increased sharply in the mid-1980s. In this paper, I argue that the oil crises of the 1970s led to higher transportation costs. In 1986 energy prices fell to their pre-crisis level, reducing transportation costs and by extension trade barriers. I present a trade model with an energy using transportation sector. In model simulations, I show that total trade costs (transportation cost plus tariffs) are constant from 1974 to 1982. Once transportation costs are accounted for, the price-import elasticity no longer needs to radically change. I also show that trade expansion since 1960 is 50 percent higher in a standard trade model that includes a transportation sector compared to one that does not.

  1. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  2. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  3. Equilibrium pricing bounds on option prices Marie Chazala

    E-Print Network [OSTI]

    Boyer, Edmond

    probability measure that is equivalent to the historical one, and under which the discounted price processesEquilibrium pricing bounds on option prices Marie Chazala and Ely`es Jouinib a CREST, France price at maturity, we derive an upper bound on the call option price by putting two kind of restrictions

  4. Novel Bioplastics and biocomposites from Vegetable Oils

    SciTech Connect (OSTI)

    Phillip H. Henna

    2008-08-18T23:59:59.000Z

    Polymeric materials have been prevalent in our everyday lives for quite a long time. Most of today's polymeric materials are derived from nonrenewable petroleum-based feedstocks. Instabilities in the regions where petroleum is drilled, along with an increased demand in petroleum, have driven the price of crude oil to record high prices. This, in effect, increases the price of petroleum-based polymeric materials, which has caused a heightened awareness of renewable alternatives for polymeric feedstocks. Cellulose, starch, proteins and natural oils have all been examined as possible polymeric feedstocks. Natural oils are commercially available on a large scale and are relatively cheap. It is projected that the U.S. alone will produce 21 billion pounds of soybean oil in the period 2008/2009. Natural oils also have the advantages of inherent biodegradability, low toxicity, high purity and ready availability. Most natural oils possess a triglyceride structure as shown in Figure 1. Most natural oils have a unique distribution of fatty acid side chains, along with varying degrees of unsaturation per triglyceride. Common fatty acid side chains in naturally occurring oils are palmitic acid (C16:0), a 16 carbon fatty acid with no unsaturation; stearic acid (C18:0), an 18 carbon fatty acid with no unsaturation; oleic acid (C18:1), an 18 carbon fatty acid with one double bond; linoleic acid (C18:2), an 18 carbon fatty acid with two double bonds; and linolenic acid (C18:3), an 18 carbon fatty acid with three double bonds. Of course, there are other fatty acids with varying degrees of unsaturation, but their abundance is usually minimal. All of the unsaturated fatty acids mentioned have naturally occurring cis double bonds, which is common for most unsaturated fatty acids. In addition, the afore mentioned fatty acids have the first double bond at the position of carbon 9 (C9), followed by carbon 12 (C12), if there are two degrees of unsaturation, then at carbon 15 (C15), if there are three degrees of unsaturation. In addition, the double bonds are not in conjugation. Table 1 gives the fatty acid make-up of linseed oil. It can be seen that linseed oil has an average of 6.0 double bonds per triglyceride. Its fatty acid content consists of 5.4% palmitic acid (C16:0), 3.5% stearic acid (C18:0), 19% oleic acid (C18:1), 24 % linoleic acid (C18:2) and 47% linolenic (C18:3). Table 1 also gives the fatty acid composition and varying degrees of unsaturation for various other naturally-occurring natural vegetable oils. The regions of unsaturation in natural oils allow for interesting polymer chemistry to take place. Some of this interesting polymer science, however, involves chemical modification of the regions of unsaturation. Acrylated epoxidized soybean oil (AESO) is prepared by epoxidation of the double bonds, followed by ring opening with acrylic acid. The resulting oil has both acrylate groups and hydroxyl groups. Wool and colleagues have further reacted the hydroxyl groups within the oil with maleic anhydride to produce maleated acrylated epoxidized soybean oil (MAESO). The MAESO has been copolymerized with styrene free radically to produce promising thermosetting sheet molding resins. Petrovi? and co-workers have directly ring opened the epoxidized oil to produce polyols that produce promising polyurethanes through condensation polymerization with diisocyanates. Our group's work initially focused on direct cationic copolymerization of the double bonds or conjugated double bonds of natural oils with monomers, such as styrene and divinylbenzene, to produce promising thermosetting resins. The only modification of the oils that was carried out in these studies was conjugation of the double bonds to enhance the reactivity of the oil. This work has been expanded recently with the incorporation of glass fiber to produce promising composites. We have also explored thermal polymerization techniques to make novel thermosets. This dissertation is divided into four chapters. The first chapter discusses the synthesis and characterization of biobased

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

    E-Print Network [OSTI]

    Torres-VerdĂ­n, 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

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

    E-Print Network [OSTI]

    Torres-VerdĂ­n, 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

  7. OIL SHALE

    E-Print Network [OSTI]

    Fields (in-situ Combustion Approach; M. V. Kök; G. Guner; S. Bagci?

    Seyitömer, Himmeto?lu and Hat?lda? oil shale deposits. The results demonstrate that these oil shales are

  8. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01T23:59:59.000Z

    the higher the product cost and retail price. Table 3.change and appliance price Room air conditioners Small (price data to clarify price

  9. Dynamic capabilities in related diversification : the case of geothermal technology development by oil companies

    E-Print Network [OSTI]

    Gar?ia Palma, Rodrigo Salvador

    2014-01-01T23:59:59.000Z

    During the peak oil price period of the 1970s and the first half of the 1980s, 12 major oil firms decided to diversify into the geothermal energy business under the assumption that they could easily leverage their upstream ...

  10. Livestock Seasonal Price Variation

    E-Print Network [OSTI]

    Davis, Ernest E.; Sartwelle III, James D.; Mintert, James R.

    1999-09-21T23:59:59.000Z

    that number by the index of the future month for which the price forecast is being determined. For example, if June Amarillo direct fed cattle prices averaged $64 per hun- dredweight (cwt.), the forecast for October would be $64 divided by 97.12, multiplied... by 99.04 = $65.27 per cwt. Adjusting for the vari- ability suggests that there is a 68 percent proba- bility that the October monthly average price would fall between $70.67 cwt. and $59.87 cwt. Seasonal Price Index for Amarillo Direct Fed Steers...

  11. ,"Colorado Natural Gas Prices"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Prices",8,"Monthly","112014","1151989" ,"Release Date:","1302015"...

  12. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    growth, population, crude oil prices, industrial materialsin 2050. The imported crude oil price assumption is based onas energy security amid crude oil price spikes. Under the

  13. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    52 Table D-4. Oil Price and EORAlthough the current oil price is below $60/bbl, the currentestimated the levelized oil price during 2015-45, based on

  14. Supporting technology for enhanced oil recovery: Chemical flood predictive model

    SciTech Connect (OSTI)

    Ray, R.M.; Munoz, J.D.

    1986-12-01T23:59:59.000Z

    The Chemical Flood Predictive Model (CFPM) was developed by Scientific Software-Intercomp for the US Department of Energy and was used in the National Petroleum Council's (NPC) 1984 survey of US enhanced oil recovery potential (NPC, 1984). The CFPM models micellar (surfactant)-polymer (MP) floods in reservoirs which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option is available in the model which allows a rough estimate of oil recovery by caustic (alkaline) or caustic-polymer processes. This ''caustic'' option, added for the NPC survey, is not modeled as a separate process. Rather, the caustic and caustic-polymer oil recoveries are computed simply as 15% and 40%, respectively, of the MP oil recovery. In the CFPM, an oil rate versus time function for a single pattern is computed and the results are passed to the economic routines. To estimate multi-pattern project behavior, a pattern development schedule must be specified. After-tax cash flow is computed by combining revenues with capital costs for drilling, conversion and upgrading of wells, chemical handling costs, fixed and variable operating costs, injectant costs, depreciation, royalties, severance, state, federal, and windfall profit taxes, cost and price inflation rates, and the discount rate. A lumped parameter uncertainty routine is used to estimate risk, and allows for variation in computed project performance within an 80% confidence interval. The CFPM uses theory and the results of numerical simulation to predict MP oil recovery in five-spot patterns. Oil-bank and surfactant breakthrough and project life are determined from fractional flow theory. A Koval-type factor, based on the Dykstra-Parsons (1950) coefficient, is used to account for the effects of reservoir heterogeneity on surfactant and oil bank velocities. 18 refs., 17 figs., 27 tabs.

  15. Characterization of oil and gas reservoir heterogeneity

    SciTech Connect (OSTI)

    Tyler, N.; Barton, M.D.; Bebout, D.G.; Fisher, R.S.; Grigsby, J.D.; Guevara, E.; Holtz, M.; Kerans, C.; Nance, H.S.; Levey, R.A.

    1992-10-01T23:59:59.000Z

    Research described In this report addresses the internal architecture of two specific reservoir types: restricted-platform carbonates and fluvial-deltaic sandstones. Together, these two reservoir types contain more than two-thirds of the unrecovered mobile oil remaining ill Texas. The approach followed in this study was to develop a strong understanding of the styles of heterogeneity of these reservoir types based on a detailed outcrop description and a translation of these findings into optimized recovery strategies in select subsurface analogs. Research targeted Grayburg Formation restricted-platform carbonate outcrops along the Algerita Escarpment and In Stone Canyon In southeastern New Mexico and Ferron deltaic sandstones in central Utah as analogs for the North Foster (Grayburg) and Lake Creek (Wilcox) units, respectively. In both settings, sequence-stratigraphic style profoundly influenced between-well architectural fabric and permeability structure. It is concluded that reservoirs of different depositional origins can therefore be categorized Into a heterogeneity matrix'' based on varying intensity of vertical and lateral heterogeneity. The utility of the matrix is that it allows prediction of the nature and location of remaining mobile oil. Highly stratified reservoirs such as the Grayburg, for example, will contain a large proportion of vertically bypassed oil; thus, an appropriate recovery strategy will be waterflood optimization and profile modification. Laterally heterogeneous reservoirs such as deltaic distributary systems would benefit from targeted infill drilling (possibly with horizontal wells) and improved areal sweep efficiency. Potential for advanced recovery of remaining mobile oil through heterogeneity-based advanced secondary recovery strategies In Texas is projected to be an Incremental 16 Bbbl. In the Lower 48 States this target may be as much as 45 Bbbl at low to moderate oil prices over the near- to mid-term.

  16. CCPExecutiveSummary Collusive Price

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPExecutiveSummary September 2011 Collusive Price Rigidity under Price-Matching Punishments W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Collusive Price Rigidity under Price and price rigidity are linked. This belief is formalised in the theory of the kinked demand curve

  17. ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS AND THE IMPLICATIONS FOR OPTION VALUES

    E-Print Network [OSTI]

    Draft 1e ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS path. Accurate valuation of claims based on competitive electricity prices has proved problematic, as electricity price data are not well represented by traditional commodity price models of Brownian motion

  18. IEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling by Manifold

    E-Print Network [OSTI]

    markets. Index Terms-- Electricity spot price, locational marginal price, electricity forward curveIEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling and prediction of electricity price curves by applying the manifold learning methodology. Cluster analysis based

  19. Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with

    E-Print Network [OSTI]

    Bhatia, Sangeeta

    Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA {mardavij, mdrine loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based

  20. Testing for market integration crude oil, coal, and natural gas

    SciTech Connect (OSTI)

    Bachmeier, L.J.; Griffin, J.M. [Texas A& amp; M Univ, College Station, TX (United States)

    2006-07-01T23:59:59.000Z

    Prompted by the contemporaneous spike in coal, oil, and natural gas prices, this paper evaluates the degree of market integration both within and between crude oil, coal, and natural gas markets. Our approach yields parameters that can be readily tested against a priori conjectures. Using daily price data for five very different crude oils, we conclude that the world oil market is a single, highly integrated economic market. On the other hand, coal prices at five trading locations across the United States are cointegrated, but the degree of market integration is much weaker, particularly between Western and Eastern coals. Finally, we show that crude oil, coal, and natural gas markets are only very weakly integrated. Our results indicate that there is not a primary energy market. Despite current price peaks, it is not useful to think of a primary energy market, except in a very long run context.

  1. Sustainability of Forage-based Livestock Production Systems in South Texas in an Era of High Synthetic Nitrogen Fertilizer Prices

    E-Print Network [OSTI]

    Sustainability of Forage-based Livestock Production Systems in South Texas in an Era of High of soil tests and alternative application methods. The second alternative is to reintroduce into their management practices that were the norm until the advent of cheap synthetic fertilizers after 1945

  2. Oil and Gas Air Heaters

    E-Print Network [OSTI]

    Kou, G.; Wang, H.; Zhou, J.

    2006-01-01T23:59:59.000Z

    , the relation of hot-air temperature, oil or gas consumption and fresh airflow is determined based on energy equilibrium....

  3. State heating oil and propane program

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    The following is a report of New Hampshire's participation in the State Heating Oil and Propane Program (SHOPS) for the 1990--91 heating season. The program is a joint effort between participating states and the Department of Energy (DOE), Energy Information Administration (EYE) to collect retail price data for heating oil and propane through phone surveys of 25 oil and 20 propane retailers in New Hampshire. SHOPS is funded through matching grants from DOE and the participating state. (VC)

  4. Economic Effect on Agricultural Production of Alternative Energy Input Prices: Texas High Plains

    E-Print Network [OSTI]

    Adams, B. M.; Lacewell, R. D.; Condra, G. D.

    The Arab oil embargo of 1973 awakened the world to the reality of energy shortages and higher fuel prices. Agriculture in the United States is highly mechanized and thus energy intensive. This study seeks to develop an evaluative capability...

  5. Table A3. Refiner/Reseller Prices of Distillate and Residual...

    Gasoline and Diesel Fuel Update (EIA)

    A3. RefinerReseller Prices of Distillate and Residual Fuel Oils, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) Geographic Area Year No. 1 Distillate No. 2...

  6. Prices J F M A M J J A S O N D

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    7 Cents per Gallon Excluding Taxes Retail < or 1% Wholesale < or 1% Retail > 1% Wholesale > 1% 7. U.S. Refiner Residual Fuel Oil Prices and Volumes Figure Volumes J F M A M J J...

  7. Prices J F M A M J J A S O N D

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    6 Cents per Gallon Excluding Taxes Retail < or 1% Wholesale < or 1% Retail > 1% Wholesale > 1% 7. U.S. Refiner Residual Fuel Oil Prices and Volumes Figure Volumes J F M A M J J...

  8. http://www.energy.gov/media/F...Biofuels_Lower_Gas_Prices.pdf

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

    2008 202-586-4940 Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Secretary of Energy Samuel W. Bodman and Secretary of Agriculture Edward T. Schafer...

  9. Application of price uncertainty quantification models and their impacts on project evaluations

    E-Print Network [OSTI]

    Fariyibi, Festus Lekan

    2006-10-30T23:59:59.000Z

    (EIA),16 the price of West Texas Intermediate (WTI) crude oil is projected to average $68 per barrel in both 2006 and 2007. 2.2 Uncertainty in Petroleum Project Evaluations The literature indicates an informal distinction between ?risk...

  10. Today's high coal prices: correction or crisis?

    SciTech Connect (OSTI)

    Platt, J. [EPRI (US)

    2005-06-01T23:59:59.000Z

    Eastern spot prices for coal have risen 25% since the start of 2004, reaching their highest levels in more than 25 years. This spike represents the second time in four years that coal prices have risen to more than double their pre-2000 price levels. Years of famine (from a coal producer's point of view) have been replaced by periods of plenty, with increasing consequences for coal's customers. How long will this spike last? This article, based on studies carried out by EPRI, attempts to answer this question. 3 figs., 1 tab.

  11. Breakeven Prices for Photovoltaics on Supermarkets in the United States

    SciTech Connect (OSTI)

    Ong, S.; Clark, N.; Denholm, P.; Margolis, R.

    2013-03-01T23:59:59.000Z

    The photovoltaic (PV) breakeven price is the PV system price at which the cost of PV-generated electricity equals the cost of electricity purchased from the grid. This point is also called 'grid parity' and can be expressed as dollars per watt ($/W) of installed PV system capacity. Achieving the PV breakeven price depends on many factors, including the solar resource, local electricity prices, customer load profile, PV incentives, and financing. In the United States, where these factors vary substantially across regions, breakeven prices vary substantially across regions as well. In this study, we estimate current and future breakeven prices for PV systems installed on supermarkets in the United States. We also evaluate key drivers of current and future commercial PV breakeven prices by region. The results suggest that breakeven prices for PV systems installed on supermarkets vary significantly across the United States. Non-technical factors -- including electricity rates, rate structures, incentives, and the availability of system financing -- drive break-even prices more than technical factors like solar resource or system orientation. In 2020 (where we assume higher electricity prices and lower PV incentives), under base-case assumptions, we estimate that about 17% of supermarkets will be in utility territories where breakeven conditions exist at a PV system price of $3/W; this increases to 79% at $1.25/W (the DOE SunShot Initiative's commercial PV price target for 2020). These percentages increase to 26% and 91%, respectively, when rate structures favorable to PV are used.

  12. Manufacture of refrigeration oils

    SciTech Connect (OSTI)

    Chesluk, R.P.; Platte, H.J.; Sequeira, A.J.

    1981-12-08T23:59:59.000Z

    Lubricating oils suitable for use in refrigeration equipment in admixture with fluorinated hydrocarbon refrigerants are produced by solvent extraction of naphthenic lubricating oil base stocks, cooling the resulting extract mixture, optionally with the addition of a solvent modifier, to form a secondary raffinate and a secondary extract, and recovering a dewaxed oil fraction of lowered pour point from the secondary raffinate as a refrigeration oil product. The process of the invention obviates the need for a separate dewaxing operation, such as dewaxing with urea, as conventionally employed for the production of refrigeration oils.

  13. Linkages between the markets for crude oil and the markets for refined products

    SciTech Connect (OSTI)

    Didziulis, V.S.

    1990-01-01T23:59:59.000Z

    To understand the crude oil price determination process it is necessary to extend the analysis beyond the markets for petroleum. Crude oil prices are determined in two closely related markets: the markets for crude oil and the markets for refined products. An econometric-linear programming model was developed to capture the linkages between the markets for crude oil and refined products. In the LP refiners maximize profits given crude oil supplies, refining capacities, and prices of refined products. The objective function is profit maximization net of crude oil prices. The shadow price on crude oil gives the netback price. Refined product prices are obtained from the econometric models. The model covers the free world divided in five regions. The model is used to analyze the impacts on the markets of policies that affect crude oil supplies, the demands for refined products, and the refining industry. For each scenario analyzed the demand for crude oil is derived from the equilibrium conditions in the markets for products. The demand curve is confronted with a supply curve which maximizes revenues providing an equilibrium solution for both crude oil and product markets. The model also captures crude oil price differentials by quality. The results show that the demands for crude oil are different across regions due to the structure of the refining industries and the characteristics of the demands for refined products. Changes in the demands for products have a larger impact on the markets than changes in the refining industry. Since markets for refined products and crude oil are interrelated they can't be analyzed individually if an accurate and complete assessment of a policy is to be made. Changes in only one product market in one region affect the other product markets and the prices of crude oil.

  14. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support drivers, the course of fossil fuel energy prices, energy efficiency trends, and renewable energy

  15. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01T23:59:59.000Z

    The objective of the present spot pricing study carried out for SCE and PG&E is to develop the concepts which wculd lead to an experimental design for spot pricing in the two utilities. The report suggests a set of experiments ...

  16. Financial derivative pricing under probability operator via Esscher transfomation

    SciTech Connect (OSTI)

    Achi, Godswill U., E-mail: achigods@yahoo.com [Department of Mathematics, Abia State Polytechnic Aba, P.M.B. 7166, Aba, Abia State (Nigeria)

    2014-10-24T23:59:59.000Z

    The problem of pricing contingent claims has been extensively studied for non-Gaussian models, and in particular, Black- Scholes formula has been derived for the NIG asset pricing model. This approach was first developed in insurance pricing{sup 9} where the original distortion function was defined in terms of the normal distribution. This approach was later studied6 where they compared the standard Black-Scholes contingent pricing and distortion based contingent pricing. So, in this paper, we aim at using distortion operators by Cauchy distribution under a simple transformation to price contingent claim. We also show that we can recuperate the Black-Sholes formula using the distribution. Similarly, in a financial market in which the asset price represented by a stochastic differential equation with respect to Brownian Motion, the price mechanism based on characteristic Esscher measure can generate approximate arbitrage free financial derivative prices. The price representation derived involves probability Esscher measure and Esscher Martingale measure and under a new complex valued measure ? (u) evaluated at the characteristic exponents ?{sub x}(u) of X{sub t} we recuperate the Black-Scholes formula for financial derivative prices.

  17. Impacts of high energy prices on long-term energy-economic scenarios for Germany

    E-Print Network [OSTI]

    Impacts of high energy prices on long-term energy-economic scenarios for Germany Volker Krey1 , Dag and Technology Evaluation (IEF-STE), 52425 Jülich, Germany 2) DIW Berlin, Königin-Luise-Str. 5, 14195 Berlin, Germany 3) �ko-Institut, Novalisstr. 10, 10115 Berlin, Germany Abstract Prices of oil and other fossil

  18. Crude Oil Prices Table 21. Domestic Crude Oil First Purchase Prices

    Gasoline and Diesel Fuel Update (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View1997

  19. Price forecasting for notebook computers.

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    2012-01-01T23:59:59.000Z

    ??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a… (more)

  20. CORE-BASED INTEGRATED SEDIMENTOLOGIC, STRATIGRAPHIC, AND GEOCHEMICAL ANALYSIS OF THE OIL SHALE BEARING GREEN RIVER FORMATION, UINTA BASIN, UTAH

    SciTech Connect (OSTI)

    Lauren P. Birgenheier; Michael D. Vanden Berg,

    2011-04-11T23:59:59.000Z

    An integrated detailed sedimentologic, stratigraphic, and geochemical study of Utah's Green River Formation has found that Lake Uinta evolved in three phases (1) a freshwater rising lake phase below the Mahogany zone, (2) an anoxic deep lake phase above the base of the Mahogany zone and (3) a hypersaline lake phase within the middle and upper R-8. This long term lake evolution was driven by tectonic basin development and the balance of sediment and water fill with the neighboring basins, as postulated by models developed from the Greater Green River Basin by Carroll and Bohacs (1999). Early Eocene abrupt global-warming events may have had significant control on deposition through the amount of sediment production and deposition rates, such that lean zones below the Mahogany zone record hyperthermal events and rich zones record periods between hyperthermals. This type of climatic control on short-term and long-term lake evolution and deposition has been previously overlooked. This geologic history contains key points relevant to oil shale development and engineering design including: (1) Stratigraphic changes in oil shale quality and composition are systematic and can be related to spatial and temporal changes in the depositional environment and basin dynamics. (2) The inorganic mineral matrix of oil shale units changes significantly from clay mineral/dolomite dominated to calcite above the base of the Mahogany zone. This variation may result in significant differences in pyrolysis products and geomechanical properties relevant to development and should be incorporated into engineering experiments. (3) This study includes a region in the Uinta Basin that would be highly prospective for application of in-situ production techniques. Stratigraphic targets for in-situ recovery techniques should extend above and below the Mahogany zone and include the upper R-6 and lower R-8.