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

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

  4. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    historical data for claiming to be able to predict oil pricehistorical data. The second is to look at the predictions of economic theory as to how oil prices

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

    E-Print Network [OSTI]

    E. Latõšov; 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. Table 1. Crude Oil Prices

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

    December 1980; Form EIA-14, "Refiners' Monthly Cost Report," January 1981 to present. 1. Crude Oil Prices 2 Energy Information Administration Petroleum Marketing Annual 1996...

  7. Table 1. Crude Oil Prices

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

    December 1980; Form EIA-14, "Refiners' Monthly Cost Report," January 1981 to present. 1. Crude Oil Prices 2 Energy Information Administration Petroleum Marketing Annual 1997...

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444 U.S.Working and

  9. Residential heating oil price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) - HouseholdshortEIA-782AAdministrationheating oil price

  10. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    EIA, World Petroleum Consumption) times the average price of West Texas Intermediate (from the FRED database

  11. 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

  12. 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.

  13. Table 1. Crude Oil Prices

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

    can be the month of loading, the month of landing, or sometime between those events. Prices for crude oil can be determined at a time other than the acquisition date. See the...

  14. 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...

  15. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    over time even if the oil market were perfectly competitive.a big role in world oil markets, that era is long past.and re?ning oil and delivering it to the market. We could

  16. 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),the faster its growth in oil demand over the last half ofthe income elasticity of oil demand to fall signi?cantly.

  17. 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.

  18. 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),

  19. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    in U.S. real GDP and oil consumption, 1949-2006. slope =Historical Chinese oil consumption and projection of trend.1991-2006: Chinese oil consumption in millions of barrels

  20. 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

  1. 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,

  2. 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...

  3. 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

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

    E-Print Network [OSTI]

    O'Donnell, Tom

    to demand and supply reactions. "The Coal Age didn't end because producers ran out of coal !!" OIL PRICE VS1 What's Driving Oil Prices? James L. Smith Cary M. Maguire Chair in Oil & Gas Management Critical Issues in Energy Federal Reserve Bank of Dallas November 2, 2006 The Price of OPEC Oil ($/bbl) $0 $20 $40

  5. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    disruptions, and the peak in U.S. oil production account foroil increased 81.1% (logarithmically) between January 1979 and the peak

  6. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil price

  7. Residential heating oil prices decrease

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil prices decrease

  8. Residential heating oil prices decrease

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil prices

  9. Oil Price and the Dollar Virginie Coudert

    E-Print Network [OSTI]

    Boyer, Edmond

    The aim of this paper is to test whether a stable long-term relationship exists between oil prices of the relationship between oil prices and the real effective exchange rate of the dollarOil Price and the Dollar Virginie Coudert , Val´erie Mignon , Alexis Penot§ 6th April 2005 Abstract

  10. Residential heating oil prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating oil

  11. 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.

  12. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The average retail price

  13. Residential heating oil price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) - HouseholdshortEIA-782AAdministrationheating oil

  14. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating oil

  15. Residential heating oil price increases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil

  16. Residential heating oil price increases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9, 2015

  17. Residential heating oil price increases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9, 20155,

  18. Residential heating oil price increases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9,

  19. Residential heating oil prices available

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9,heating

  20. Residential heating oil prices decline

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheatingheating oil

  1. Residential heating oil prices decrease

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil pricesheating

  2. Residential heating oil prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil

  3. Residential heating oil prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014

  4. Residential heating oil prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014heating

  5. Residential heating oil prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014heating5,

  6. Residential heating oil prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,

  7. Residential heating oil prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating

  8. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The average retail

  9. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The average retailheating

  10. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The average

  11. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating

  12. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6, 2014

  13. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6,

  14. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6,4

  15. Residential heating oil price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The

  16. Residential heating oil prices decline

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating

  17. Residential heating oil prices decline

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheatingheating

  18. Residential heating oil prices decline

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheatingheatingheating

  19. Residential heating oil prices decline

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases

  20. 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

    This study proposes two methods, (1) a probabilistic method based on historical oil prices and (2) a method based on Gaussian simulation, to model future prices of oil. With these methods to model future oil prices, we can calculate the ranges...

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

    E-Print Network [OSTI]

    Garousi, Vahid

    shocks, Oil price uncertainty, Nonlinearity in the Oil Price- Output Relationship. 2 #12;Table Production: Is the Relationship Linear?" John Elder and Apostolos Serletis, "Volatility in Oil Prices-Term Oil Price Forecasts: A New Perspective on Oil and the Macroeconomy." 3 #12;1 Overview The relationship

  2. 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 ...

  3. 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 ...

  4. The strategic consequences of the oil price collapse

    SciTech Connect (OSTI)

    Schuler, H.

    1987-01-01T23:59:59.000Z

    This book discusses the geopolitical consequences of the oil-price drop in such countries as Indonesia, Nigeria, Algeria, Mexico and Egypt. It also assesses the overall implications of the drop in oil prices on oil-producing areas.

  5. 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...

  6. 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...

  7. 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

  8. 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 ...

  9. 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.

  10. Residential heating oil prices virtually unchanged

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheating oil prices

  11. 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...

  12. 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

  13. 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*º 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

  14. 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

  15. Residential heating oil prices virtually unchanged

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating4

  16. Residential heating oil prices virtually unchanged

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating40,

  17. Residential heating oil prices virtually unchanged

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating40,5,

  18. Residential heating oil prices virtually unchanged

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating40,5,4

  19. 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.

  20. 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.

  1. 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

  2. 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.

  3. 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...

  4. 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...

  5. 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 ...

  6. Residential heating oil prices virtually unchanged

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating

  7. The imperfect price-reversibility of world oil demand

    SciTech Connect (OSTI)

    Gately, D. [New York Univ., NY (United States)

    1993-12-31T23:59:59.000Z

    This paper examines the price-reversibility of world oil demand, using price-decomposition methods employed previously on other energy demand data. We conclude that the reductions in world oil demand following the oil price increases of the 1970s will not be completely reversed by the price cuts of the 1980s. The response to price cuts in the 1980s is perhaps only one-fifth that for price increases in the 1970s. This has dramatic implications for projections of oil demand, especially under low-price assumptions. We also consider the effect on demand of a price recovery (sub-maximum increase) in the 1990s - due either to OPEC or to a carbon tax-specifically whether the effects would be as large as for the price increases of the 1970s or only as large as the smaller demand reversals of the 1980s. On this the results are uncertain, but a tentative conclusion is that the response to a price recovery would lie midway between the small response to price cuts and the larger response to increases in the maximum historical price. Finally, we demonstrate two implications of wrongly assuming that demand is perfectly price-reversible. First, such an assumption will grossly overestimate the demand response to price declines of the 1980s. Secondly, and somewhat surprisingly, it causes an underestimate of the effect of income growth on future demand. 21 refs., 11 figs., 1 tab.

  8. 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.

  9. 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...

  10. 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.

  11. 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

  12. 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

  13. Naval petroleum reserves: Oil sales procedures and prices at Elk Hills, April through December 1986

    SciTech Connect (OSTI)

    Not Available

    1987-01-01T23:59:59.000Z

    The Elk Hills Naval Petroleum Reserve is located near Bakersfield, California and ranks seventh among domestic producing oil fields. In Feb. 1986 the Department of Energy awarded contracts to 16 companies for the sale of about 82,000 barrels per day of NPR crude oil between April and September 1986. These companies bid a record high average discount of $4.49 from DOE's base price. The discounts ranged from $0.87 to $6.98 per barrel. These contracts resulted in DOE selling Elk Hills oil as low as $3.91 per barrel. Energy stated that the process for selling from NPR had gotten out of step with today's marketplace. Doe subsequently revised its sales procedures which requires bidders to submit a specific price for the oil rather than a discount to a base price. DOE also initiated other efforts designed to avoid future NPR oil sales at less than fair market value.

  14. 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 ...

  15. 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...

  16. 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 ...

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    strength in the oil market. KEYWORDS: expectations formation, oil price CLASSIFICATION: D84, G14, Q43 expectations in the oil market: evidence from survey data 1. Introduction Oil price shocks are among the mainEconomically rational expectations theory: evidence from the WTI oil price survey data Georges PRAT

  18. 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.

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

    E-Print Network [OSTI]

    Boyer, Edmond

    relationship between oil and stock markets, which parallels the one between high oil prices and macroeconomicOIL 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

  20. 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...

  1. 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...

  2. 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

    Historical oil crises have been characterized by widespread concern about the pricehistorical in nature, it would be a mistake to conclude that the impact of oil prices

  3. 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 ...

  4. 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 ...

  5. 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...

  6. 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,version1-7Mar2013 #12;2 1. Introduction The causal relationship between oil prices and stock markets has

  7. 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

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

    E-Print Network [OSTI]

    Aickelin, Uwe

    on so many other market sectors. In addition, oil prices have historically exhibited a num- ber of shortOil 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

  9. 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 ...

  10. Spot Prices for Crude Oil and Petroleum Products

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables TablesPricesSpot Prices (Crude

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

    E-Print Network [OSTI]

    Matthews, Adrian

    studies has been devoted, following Hamilton's seminal paper, to exploring the relationship between oil-priceOil 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

  12. USAGE-BASED PRICING DIFFERENTIATION FOR

    E-Print Network [OSTI]

    Huang, Jianwei

    cost, complex pricing schemes are not "customer- friendly" and discourage customers from usingCHAPTER 1 USAGE-BASED PRICING DIFFERENTIATION FOR COMMUNICATION NETWORKS: INCOMPLETE INFORMATION AND LIMITED PRICING CHOICES Shuqin Li, Ph.D.1 and Jianwei Huang, Ph.D.2 1 Research and Innovation, Alcatel

  13. Wholesale 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOEWest4 Paul M.March)

  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. 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, $\

  19. 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...

  20. 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...

  1. 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...

  2. 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 crude oil prices? On one hand, one might expect the strong demand associatedIs There Evidence of Super Cycles in Oil Prices?* Abdel M. Zellou and John T. Cuddington** March 22 since 2000 represents the early phase of a `super cycle' (SC) driven by the sustained rise in demand

  3. 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

    with another spike in gasoline prices and their reported record profits. Some months ago, during the last gasoline price spike, Congress summoned the executives of the Big Oil companies to testify aboutDoes Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks

  4. Petroleum industry sensitivity and world oil market prices: The Nigerian example

    SciTech Connect (OSTI)

    Kalu, T.Ch.U. [Univ. of Ilorin (Nigeria)

    1995-12-31T23:59:59.000Z

    Most empirical studies have focused on the demand side of energy with little or no attention to the supply side. To deal with this defect, this paper adopts a microanalytic approach to the problem of the individual oil firms to provide a basis for determining the effects of changes in such macro-variables as prices on their operations. However, instead of the familiar econometric approach to energy studies, a goal programming approach is adopted. Using a multinational oil company as a case study, the effects of change in crude oil prices are examined. The results, among other things, support the hypersensitivity of oil companies to changes in economic cycles, the price inelasticity of demand for crude oil in the short run, and a time lag between price change and the time an oil company responds to it. The management and policy implications of the results are also discussed. 28 refs., 3 tabs.

  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

    the short-run relationships between oil prices and GCC stock markets. Since GCC countries are major world relatively little work done on the relationships between oil price variations and stock markets) shows a significant relationship between oil price changes and stock markets in Greece. Basher

  7. 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

    the dynamic relationship between oil price variations and stock markets. The pioneering paper by Jones model with GARCH effects to American monthly data and shows a significant relationship between oil priceOil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over

  8. 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

    Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock on the relationships between oil price variations and stock markets, as underlined by Basher and Sadorsky (2006. For instance, using a VAR model, Papapetrou (2001) shows a significant relationship between oil price changes

  9. 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

  10. 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

    in the price of crude oil quickly transmit themselves through the "food chain," quickly hitting gasoline prices an additional pop to the price. In addition, the futures markets draw off gasoline from existing stocks to supply more gasoline in the near future, when even higher prices are expected. In other words, prices

  11. 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.

  12. 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.

  13. 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

    based on projections of future prices and future demand.with demand projections, corresponding oil price series areoil price path associated with the IMAGE demand projection

  14. 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 ,

  15. 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.

  16. Investor Flows and the 2008 Boom/Bust in Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    s ) ds S T , S t denotes the price of crude oil S t , C t denotes the convenience yield net of storage costs, E Q t denotes the expectation of market participants under the...

  17. 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...

  18. 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...

  19. 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.

  20. 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 ...

  1. 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.)

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

    E-Print Network [OSTI]

    Méjean, Aurélie; Hope, Chris

    What would be the effect of CO2 pricing on global oil supply and demand? This paper introduces a model describing the interaction between conventional and non-conventional oil supply in a Hotelling framework and under CO2 constraints. The model...

  3. 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 Direction, TOTAL Refining &Marketing, Le Havre, France (e-mail: meriam.chebre@total.com) Abstract-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider

  4. Learning Curve: A Simulation-based Approach to Dynamic Pricing

    E-Print Network [OSTI]

    Greenwald, Amy

    horizon. In this article, we refer to this type of changing of prices over time as dynamic pricing. Cost markets, the costs associated with making frequent, instantaneous price changes are greatly diminished [2Learning Curve: A Simulation-based Approach to Dynamic Pricing Joan Morris DiMicco, Amy Greenwald

  5. 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...

  6. 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.

  7. 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 ...

  8. 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.

  9. Naval petroleum reserves: Sales procedures and prices received for Elk Hills oil

    SciTech Connect (OSTI)

    Not Available

    1986-01-01T23:59:59.000Z

    The Congress expressed concern about the Department of Energy's actions in selling oil from the Elk Hills Naval Petroleum Reserve at what appeared to be unreasonably low prices. DOE officials believe that Naval Petroleum Reserve oil has been and is currently being produced at the appropriate rate and that no recoverable oil has been lost. This fact sheet provides information on the basis for the procedures followed by DOE in selling Naval Petroleum Reserve oil and sales data for the period extending from October 1985 through April 1986.

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

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

    on June 11, 2008 to Senator Jeff Bingaman addressing a number of questions related to biofuels, food, and gasoline and diesel prices. This is a fact sheet on how biofuels are...

  11. 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...

  12. 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...

  13. 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

  14. 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...

  15. 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.

  16. Fixed-Price Contracts Payment for a fixed-price contract is based on successfully providing the goods or services

    E-Print Network [OSTI]

    Tam, Tin-Yau

    costs more or costs less to complete the project than the price initially agreed upon. OneFixed-Price Contracts Payment for a fixed-price contract is based on successfully providing the goods or services agreed to in the contract. A fixed-price contract is not adjusted when it actually

  17. 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

  18. Wholesale Propane Weekly Heating Oil and Propane Prices (October - March)

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOEWest4 Paul

  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. Are there Gains from Pooling Real-Time Oil Price Forecasts?

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5Are there Gains from Pooling

  5. 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

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

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2004-01-01T23:59:59.000Z

    historical difficulty in accurately forecasting oil prices.historical difficulty in accurately forecasting future oil prices.

  7. Low oil prices cut less into U.S. oil production

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24,High naturalProsperityNatural GasLow oil

  8. Lower oil prices also cutting winter heating oil and propane bills

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24,High naturalProsperityNaturalLower oil

  9. 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

  10. 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

  11. Optimal Power Flow Based Demand Response Offer Price Optimization

    E-Print Network [OSTI]

    Lavaei, Javad

    Optimal Power Flow Based Demand Response Offer Price Optimization Zhen Qiu 1 Introduction-time energy balance. Demand response programs are offered by the utility companies to reduce the load response cost in exchange for load reduction. A considerable amount of papers have discussed the demand

  12. Utility-Based Pricing of the Weather Derivatives Hlne Hamisultane *

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ;1. Introduction Weather impacts many sectors of the economy such as agriculture, construction, tourism and energy), in 1999. Weather derivatives are financial instruments based on a weather index. They give a payment 0 equal to the cost of the hedging portfolio at time 0. Mathematically, this price corresponds

  13. 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.

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

    E-Print Network [OSTI]

    Lin, Xiaojun

    -of-day pricing. The second approximation was to replace the cost of the actual path the flow would traversePricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff School of Electrical}@ecn.purdue.edu Abstract. In this work we study pricing as a mechanism to control large networks. Our model is based

  15. 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

  16. 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.

  17. 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

  18. Pricing-based decentralized rate allocation for multiple video streams

    E-Print Network [OSTI]

    Tiwari, M; Groves, T; Cosman, P

    2009-01-01T23:59:59.000Z

    PRICE REM_PRICE PRE_PRICE (a) g8 video stream kbits per TS (video to 0.8-1.0 dB for the g8 video compared to EQL TS. ALLfor g11 to 0.9-1.1 dB for g8 compared to EQL TS. REM PRICE

  19. Base Oil Market Segment Forecasts up to 2020,Research Reports...

    Open Energy Info (EERE)

    base-oils-lubes-market.html This report includes the key market dynamics affecting the demand for base oil globally. As a part of our market dynamics analysis, we have analyzed...

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

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

    45 gallons of petroleum products. Source: Energy Information Administration, "Oil: Crude Oil and Petroleum Products Explained" and Annual Energy Outlook 2009 (Updated February...

  1. 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

  2. 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,

  3. A new pricing mechanism for a high-priority DiffServ-based service

    E-Print Network [OSTI]

    Bouras, Christos

    -priori estimation of costs. The detailed pricing methodology is presented and experimentally evaluated. Keywords to account for congestion costs, differentiated services, QoS provision and other relevant costs for pricingA new pricing mechanism for a high-priority DiffServ-based service Christos Bouras1,2 , Afrodite

  4. 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

  5. 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

  6. 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 elasotherwise result if oil prices remain at current levels. . o

  7. 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.

  8. 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.

  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. 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.

  12. 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

  13. 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

  14. 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 (

  15. 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...

  16. 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...

  17. 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...

  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. 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

  2. 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

  3. 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

  4. 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

  5. The Russian Economy: Do Sanctions and Low Oil Prices Constrain Putin's Foreign Policy? 

    E-Print Network [OSTI]

    Paul, Gregory

    2015-04-22T23:59:59.000Z

    and politics of the region. Future pipeline projects – such as the Nabucco pipeline – are highly controversial, and Russia’s efforts to control oil and gas supplies in the region have recently intensified. Russia has gained increased influence in its...

  6. 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

  7. 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.

  8. Comparative analysis of plant oil based fuels

    SciTech Connect (OSTI)

    Ziejewski, M.; Goettler, H.J.; Haines, H.; Huong, C.

    1995-12-31T23:59:59.000Z

    This paper presents the evaluation results from the analysis of different blends of fuels using the 13-mode standard SAE testing method. Six high oleic safflower oil blends, six ester blends, six high oleic sunflower oil blends, and six sunflower oil blends were used in this portion of the investigation. Additionally, the results from the repeated 13-mode tests for all the 25/75% mixtures with a complete diesel fuel test before and after each alternative fuel are presented.

  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. 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

  12. 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 (

  13. 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. Joseph Kennedy II, New York Times, April, 10, 2012. 1 Introduction. The price of crude oil in the U.S price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our

  14. United States Department of Energy New Jersey Department of Environmental Protection and Energy. 1991--1992 Heating Oil and Propane Price Monitoring Program

    SciTech Connect (OSTI)

    NONE

    1998-12-31T23:59:59.000Z

    In cooperation with the United States Department of Energy (USDOE), Energy Information Administration (EIA) the New Jersey Department of Environmental Protection and Energy (DEPE), Office of Energy participated in a program to monitor retail prices of no. 2 heating oil and propane in New Jersey. According to program instructions, we conducted price surveys on a semi-monthly basis to obtain the necessary information from retail fuel merchants and propane dealers identified by the EIA. The period of the surveys was October 7, 1991 to March 16 1992. We submitted data collected as of specified reference dates to the EIA, within two working days of those dates.

  15. 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

  16. 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 ...

  17. 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

  18. 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

  19. OpenEI Community - Base Oil

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff the GridHome All

  20. OpenEI Community - Base Oil Market

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff the GridHome All

  1. 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....

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Pricing Multicast Communication: A Cost-Based Approach John C.-I. Chuang and Marvin A. Sirbu

    E-Print Network [OSTI]

    Chuang, John C.-I.

    Pricing Multicast Communication: A Cost-Based Approach John C.-I. Chuang and Marvin A. Sirbu membership-based or a flat-rate pricing scheme, since it reflects the actual tree cost at all group. To facilitate efficient and equitable resource allocation between traffic types, this paper advocates a cost

  8. 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

    oil price, the expected retail gasoline price and consumption quantities are shown using a short-run demand elasticity assumption

  9. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01T23:59:59.000Z

    in construction and price development were synchronized with3 Models of Housing price Development Based on EconomicTable 4 Models of Housing Price Development Based on Lagged

  10. The Speed of Gasoline Price Response in Markets With and Without Edgeworth Cycles

    E-Print Network [OSTI]

    Lewis, Matt; Noel, Michael

    2009-01-01T23:59:59.000Z

    Oil Price Information Service (OPIS) based on a survey ofprices are also provided by OPIS. The unbranded gasolinemarket shares provided by OPIS. 18 Figure 5 (Panels B-D)

  11. 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.

  12. 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

  13. 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

  14. 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

  15. 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,World Stocks Sag as Oil Price Surges,” N.Y. Times, June 28,Second, the increase in oil prices may make Russia more

  16. 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

  17. 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

    LBNL-55551 EIA-based average revenues by sales (in c/kWh)in region R of ownership type P (from EIA data) Set of allutilities in region R (from EIA data) Set of sample

  18. 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 ...

  19. 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

  20. 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

  1. 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,

  2. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    annual production from Cantarell complex in Mexico. Data foryear since 2002. Mexico’s Cantarell complex, second only tothe North Sea, Mexico’s Cantarell, and China’s Daqing. North

  3. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View1997

  10. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricSales (Million CubicThousandTobago0 0 0 0 0 0

  11. Residential heating oil price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) - HouseholdshortEIA-782AAdministrationheating

  12. Residential heating oil price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) - HouseholdshortEIA-782AAdministrationheatingheating

  13. Residential heating oil price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    oil price projections from the Energy Information Administration (FOB, through 2030; EIA, 2007) to historicalof oil, or the market price less shipping costs. Historical

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    We appended future oil price projections from the Energyfunctional form of price projection (personal communication,producers using a fixed price projection in their production

  16. 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.

  17. ante value-based price: Topics by E-print Network

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

    impacts of zone pricing on post-merger price effects. Using the ready-to-eat cereals industry as a backdrop, we show empirically that high-income price zones are more...

  18. 15.818 Pricing, Spring 2005

    E-Print Network [OSTI]

    Tucker, Catherine

    This course, primarily discussion based, provides a framework for understanding pricing strategies and tactics. Topics covered include pricing in competitive markets, estimating demand, price discrimination, the role of ...

  19. 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

  20. 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.

  1. 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

  2. A robust and efficient estimator of Sharpe ratios based on price records

    E-Print Network [OSTI]

    Challet, Damien

    2015-01-01T23:59:59.000Z

    Sharpe ratios are much used in finance, yet cannot be measured directly because price returns are non-Gaussian. On the other hand, the number of records of a discrete-time random walk in a given time-interval follows a Gaussian distribution provided that its increment distribution has finite variance. As as consequence, record statistics of uncorrelated, biased, random walks provide an attractive new estimator of Sharpe ratios. First, I derive an approximate expression of the expected number of price records in a given time interval when the increments follow Student's t distribution with tail exponent equal to 4 in the limit of vanishing Sharpe ratios. Remarkably, this expression explicitly links the expected record numbers to Sharpe ratios and and suggests to estimate the average Sharpe ratio from record statistics. Numerically, the asymptotic efficiency of a permutation estimator of Sharpe ratios based on record statistics is several times larger than that of the t-statistics for uncorrelated returns with ...

  3. 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

  4. Fuels outlook for oil/propane

    SciTech Connect (OSTI)

    Weigand, P.

    1995-09-01T23:59:59.000Z

    The outlook for using oil and propane as fuels is outlined. The following topics are discussed: factors affecting price of the burner tip, supply and demand forecast, distribution costs and availability, alternate fuels economics, propane prices, No. 2 oil prices, natural gas vs. 1% residual HP prices, and future for industrial oil and propane consumers.

  5. 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

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

    E-Print Network [OSTI]

    Chen, Shu-Ching

    petroleum vendors can sell their oil products in Taiwan now. This liberalization results in high competitionMaintenance Scheduling of Oil Storage Tanks using Tabu-based Genetic Algorithm * Sheng-Tun Li1 and the recently liberalized Petroleum Management Law, the oil market in Taiwan is liberalized and thus is becoming

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

    E-Print Network [OSTI]

    Soatto, Stefano

    the assumption that the densities of the two uids are di#11;erent and that the viscosity of the oil core is veryLevel 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

  8. 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

  9. 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

    the base-case natural gas price forecast, but to alsogas price forecasts with contemporaneous natural gas pricesof AEO 2010 Natural Gas Price Forecast to NYMEX Futures

  10. 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.

  11. 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.

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

    E-Print Network [OSTI]

    to get some perspective on whether current metal prices are `high' or `low' by historical standards/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

  13. 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.

  14. Zero-Emission Vehicle Scenario Cost Analysis Using A Fuzzy Set-Based Framework

    E-Print Network [OSTI]

    Lipman, Timothy E.

    1999-01-01T23:59:59.000Z

    High Production Volume Historical Oil Prices and CEC Delphithat it is replacing. Historical Oil Prices and CEO Delphi

  15. 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 ...

  16. 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

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

    E-Print Network [OSTI]

    Kim, Jun-Hyeok

    2013-06-25T23:59:59.000Z

    Biocompatibility, Non-toxic Food products Edible, Non-toxic Lubrication Chemical stability, Adsorptivity, Low price Crude oil purification Ease of deemulsion 1. 4. 1. Emulsion in lubrication Emulsion is widely used for various applications as mentioned... are different from 18.83% and 81.17% respectively. The isotope boron-10 is used for neutron-trapping reagent [45]. In biology, borate shows little toxicity in mammals but it is used for pesticides since it shows toxicity to the arthropod. Boron...

  18. 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...

  19. 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...

  20. 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).

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

    E-Print Network [OSTI]

    the market calls for. PULPWOOD: Pulpwood prices depend on the global demand for paper products of amajor pulp and paper mill in New York. FIREWOOD: Demand for firewood in New England depends on the price of fossil fuels,particularly No.2fuel oil. (The price of firewood rises as fuel oil prices in

  2. 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 the historical, implied, and local volatility models, and refer to [26] for stochastic volatility models. 7

  3. 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

  4. 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)

  5. 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

  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. Business cycles in oil economies

    SciTech Connect (OSTI)

    Al-Mutairi, N.H.

    1991-01-01T23:59:59.000Z

    This study examines the impact of oil price shocks on output fluctuations of several oil-exporting economies. In most studies of business cycles, the role of oil price is ignored; the few studies that use oil price as one of the variables in the system focus on modeling oil-importing economies. The vector autoregression (VAR) technique is used to consider the cases of Norway, Nigeria, and Mexico. Both atheoretical and structural' VARs are estimated to determine the importance of oil price impulses on output variations. The study reports two types of results: variance decomposition and impulse response functions, with particular emphasis on the issues of stationarity and co-integration among the series. The empirical results suggest that shocks to oil price are important in explaining output variations. In most cases, shocks to oil price are shown to explain more than 20% of the forecast variance of output over a 40-quarter horizon.

  8. Oil prices spike to over barreland price

    E-Print Network [OSTI]

    installs waste heat recovery plant, adding19 MWofpower withoutburningasingledropof additionaloil VIEO Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDIN of new, distributed solar and wind USVI provides leadership to CarbonWar Room's 10 Island Challenge

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

    E-Print Network [OSTI]

    . Figure C-1 illustrates this for world oil prices, and similar patterns apply to natural gas. The last. Figure C-1 World Oil Prices Have Been Following the 1991 Plan Low Forecast 0.00 5.00 10.00 15.00 20.00 25 and earlier Council plans, natural gas prices were dependent on the assumptions about world oil prices

  10. 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

    million hectares of land under oil palm cultivation. The palm oil mills yield a number of by-products, the important by- product is the oil palm frond (OPF) which can be utilised fresh or ensiled. HerefordGrowth of Hereford-Kedah Kelantan calves fed oil palm fronds and palm kernel cake based diet I

  11. 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.

  12. 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

  13. 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.

  14. 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

    economic slowdown cuts oil demand. At the intersection ofoil price, the expected retail gasoline price and consumption quantities are shown using a short-run demand

  15. Performance evaluation of starch based polymer for enhanced oil recovery 

    E-Print Network [OSTI]

    Skurner, James Andrew

    1997-01-01T23:59:59.000Z

    Ever since the first petroleum well was drilled, water production has been a deterring force in maximizing an oilfield's hydrocarbon reserves. To satisfy the ever increasing global demand for petroleum, many different techniques for enhancing oil...

  16. 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

  17. 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.

  18. 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.

  19. 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.

  20. 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),

  1. 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

  2. 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. ”

  3. 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....

  4. 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.

  5. 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

  6. Residential propane price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheatingpropane price

  7. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreasespropane price

  8. Residential propane prices available

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices

  9. Residential propane prices decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices5, 2014

  10. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices5,

  11. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropane prices

  12. A Time Series Analysis of Food Price and Its Input Prices 

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

    of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...

  13. A Time Series Analysis of Food Price and Its Input Prices

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

    of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...

  14. 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

    , he can Mark Waller, Steve Amosson, Mark Welch, and Kevin Dhuyvetter* 2 lock in a floor price and still have upside poten- tial if the market rallies. Options-based marketing strategies, such as the minimum price contract, work well in times...

  15. 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.

  16. 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.

  17. Heating Oil and Propane Update - Energy Information Administration

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

    Petroleum Reports Heating Oil and Propane Update Weekly heating oil and propane prices are only collected during the heating season, which extends from October through March....

  18. 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.

  19. Bio-energy Logistics Network Design Under Price-based Supply and Yield Uncertainty 

    E-Print Network [OSTI]

    Memisoglu, Gokhan

    2014-12-10T23:59:59.000Z

    network. In the second study, we consider a two-stage stochastic problem to model farm-to-biorefinery biomass logistics while designing a policy that encourages farmers to plant biomass energy crops by offering them a unit wholesale price. In the first...

  20. 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

  1. 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

  2. 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

  3. 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 ......

  4. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  5. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  9. 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...

  10. Average Commercial Price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5AreOil andMarket Module8.28

  11. Average Residential Price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5AreOil andMarket

  12. Residential propane price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheating oil

  13. 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

  14. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    market-based forward price projections argues for furtherAEO 2008 and NYMEX price projections. Nominal ¢/kWh (at 7000that exceed the AEO price projection) described above. If

  15. 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

  16. 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.

  17. The efficiency of the crude oil markets: Evidence from variance ratio tests

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of the 1990s oil prices have been steadily increasing, reflecting rising demand for crude oil, particularly costs, and reserves (Pindyck, 1999). Supply and demand remain the main factors determining oil prices. More precisely, oil demands depend on oil consumption by developed and developing countries, and oil

  18. 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...

  19. Positive and negative effects of dielectric breakdown in transformer oil based magnetic fluids

    SciTech Connect (OSTI)

    Lee, Jong-Chul, E-mail: jclee01@gwnu.ac.kr [School of Mechanical and Automotive Engineering, Gangneung-Wonju National University, Wonju 220711 (Korea, Republic of)] [School of Mechanical and Automotive Engineering, Gangneung-Wonju National University, Wonju 220711 (Korea, Republic of); Lee, Won-Ho [Graduate School of Automotive Engineering, Gangneung-Wonju National University, Wonju 220711 (Korea, Republic of)] [Graduate School of Automotive Engineering, Gangneung-Wonju National University, Wonju 220711 (Korea, Republic of); Lee, Se-Hee [Department of Electrical Engineering, Kyungpook National University, Daegu 702701 (Korea, Republic of)] [Department of Electrical Engineering, Kyungpook National University, Daegu 702701 (Korea, Republic of); Lee, Sangyoup, E-mail: sangyoup@kist.re.kr [Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 136791 (Korea, Republic of)] [Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 136791 (Korea, Republic of)

    2012-10-15T23:59:59.000Z

    The transformer oil based magnetic fluids can be considered as the next-generation insulation fluids because they offer exciting new possibilities to enhance dielectric breakdown voltage as well as heat transfer performance compared to pure transformer oils. In this study, we have investigated the dielectric breakdown strength of the fluids with the various volume concentrations of nanoparticles in accordance with IEC 156 standard and have tried to find the reason for changing the dielectric breakdown voltage of the fluids from the magnetic field analysis. It was found that the dielectric breakdown voltage of pure transformer oil is around 12 kV with the gap distance of 1.5 mm. In the case of our transformer oil-based magnetic fluids with 0.08% < ? < 0.6% (? means the volume concentration of magnetic nanoparticles), the dielectric breakdown voltage shows above 40 kV, which is 3.3 times higher positively than that of pure transformer oil. Negatively in the case when the volume concentration of magnetic nanoparticles is above 0.65%, the dielectric breakdown voltage decreases reversely. From the magnetic field analysis, the reason might be considered as two situations: the positive is for the conductive nanoparticles dispersed well near the electrodes, which play an important role in converting fast electrons to slow negatively charged particles, and the negative is for the agglomeration of the particles near the electrodes, which leads to the breakdown initiation.

  20. Evaluation of soy based heavy fuel oil emulsifiers for energy efficiency and environmental improvement

    SciTech Connect (OSTI)

    Lee, P.K.; Szuhaj, B.F. [Central Soya Company, Inc., Fort Wayne, IN (United States); Diego, A. [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

    1996-12-31T23:59:59.000Z

    It is known that the emulsification of water into heavy fuel oil (No. 6) can result in improved atomization of the fuel in a combustion chamber, which results in several benefits. In this study, two soybean lecithin based emulsifiers were evaluated. The emulsifiers were added to the No. 6 fuel at 0.5% and 1 % levels and emulsions of 10% and 15% water were prepared and burned in a pilot scale combustion chamber. The results showed a significant decrease in NO{sub x} emissions, and a reduction in carbon particulates, as well as a decrease in the excess oxygen requirement when the emulsions were burned when compared to fuel oil alone and a fuel oil/water mixture without the emulsifier. It was concluded that the use of a soybean lecithin based emulsifier may be used to increase the burning efficiency of heavy fuel oils, reduce emissions and particulates, and reduce down time for cleaning. This can be very important in utility plants which burn large volumes of heavy fuel oil and are located near urban areas.

  1. State heating oil and propane program, 1994--1995 heating season. Final technical report

    SciTech Connect (OSTI)

    NONE

    1995-05-09T23:59:59.000Z

    Propane prices and No. 2 fuel prices during the 1994-1995 heating season are tabulated for the state of Ohio. Nineteen companies were included in the telephone survey of propane prices, and twenty two companies for the fuel oil prices. A bar graph is also presented for average residential prices of No. 2 heating oil.

  2. 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.

  3. 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 ...

  4. Lubricating-oil basestock data and analysis: based on the ASTM-NBS basestock consistency study

    SciTech Connect (OSTI)

    Becker, D.A.; Hsu, S.M.; Weeks, S.

    1983-10-01T23:59:59.000Z

    In this 13-month study, four virgin oil and six re-refined oil companies submitted monthly production samples to National Bureau of Standards (NBS). There, the samples were subdivided, coded, and sent to 14 participating laboratories for analysis of the physical and chemical properties as well as for evaluation in various bench tests. An eleventh control sample was sent monthly for reference. Various re-refining processes included in the study are: acid/clay; clay treatment; short path distillation; pretreat/vacuum distillation/clay finish; pretreat/hydrogenation. The processes for the virgin base oils are mainly solvent extraction/distillation with and without the hydro-finishing step. In this report the data are grouped into six main categories: (1) theology; (2) physical properties; (3) chemical properties; (4) hydrocarbon type analysis; (5) general performance tests; and (6) oxidation and wear bench tests. Within each category, test results are arranged according to the similarity of the tests or test properties.

  5. 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…

  6. Oil Quantity : The histori

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    model for Prudhoe Bay. Figure 11: Historical Prudhoe Bay oil production data, modeled economically Production (million bbl per Month) Historical Production Best Fit (Hist. Tax w/ELF, Ref. P) High Price 120 140 160 19 Oil Quantity Con Wel N E A N N ng Results e Bay : The histori Bay over tim : Prudhoe Ba

  7. 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

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    2007). The world will reach peak oil production rates, atenergy security costs, and peak oil as emergencies, we willwhen oil price is high, then the first peak in drilling cost

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

    E-Print Network [OSTI]

    Katayama, Munechika

    2008-01-01T23:59:59.000Z

    use of oil in the US economy weakens the peak responses ofpeak under other factors considered, less persistence in the oil-the same size of the oil-price shock. The peak response of

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

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    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

  12. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    Fisheries, through its Market Development Branch, has contracted with the Bureau of Labor Statistics prices. P repared in the Bureau of Commercial Fisheries Branch of Market Development #12;United States - September 1958 CONTENTS TUNA, CANNED : Page --------------- White Meat Tuna Or Albacore, Solid Pack, In Oil

  13. Zero-Emission Vehicle Scenario Cost Analysis Using A Fuzzy Set-Based Framework

    E-Print Network [OSTI]

    Lipman, Timothy Edward

    1999-01-01T23:59:59.000Z

    Volume Figure 7-1: Historical Oil Prices and CEC Delphireplacing. Figure 7-1: Historical Oil Prices and CEC Delphi

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem Not Found Item Not Found The item you requested,C.Technical Report:Surfactant Based

  15. A Multi-period Equilibrium Pricing Model of Weather Derivatives

    E-Print Network [OSTI]

    Lee, Yongheon; Oren, Shmuel S.

    2008-01-01T23:59:59.000Z

    2002). On modelling and pricing weather derivatives. Applied2003). Arbitrage-fee pricing of weather derivatives based onfects and valuation of weather derivatives. The Financial

  16. SSL Pricing and Efficacy Trend Analysis for Utility Program Planning...

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

    Market-Based Programs Technical Information Network SSL Pricing and Efficacy Trend Analysis for Utility Program Planning SSL Pricing and Efficacy Trend Analysis for Utility...

  17. Residential propane price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheating oilpropane

  18. Residential propane price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheating

  19. Residential propane price

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheatingpropane

  20. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price

  1. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases The average

  2. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases The

  3. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases Thepropane

  4. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases

  5. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreasespropane

  6. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreasespropanepropane

  7. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price

  8. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014 Residential

  9. Residential propane price decreases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014

  10. Residential propane price increases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propane

  11. Residential propane price increases

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propanepropane

  12. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane

  13. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropane

  14. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropanepropane

  15. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices increase The

  16. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices increase

  17. Residential propane prices increase

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices increasepropane

  18. Residential propane prices stable

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices

  19. Residential propane prices stable

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane pricespropane price

  20. 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.

  1. 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

  2. Oil Trading Simon Basey / November 28, 2013

    E-Print Network [OSTI]

    Sheldon, Nathan D.

    of oil and gas. #12;9 Trading tactics · ARBITRAGE: trade the dislocation of prices between geographicalOil Trading Simon Basey / November 28, 2013 #12;2 What does IST do? Imports crude oil and other Markets BP's equity crude oil, NGLs and natural gas Generates entrepreneurial trading income Manages BP

  3. 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...

  4. 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.

  5. 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.

  6. 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 result the value of investment in an oil field is also mean-reverting. Consequently, it would not be appropriateReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract

  7. 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

  8. 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 classification: E31 O13 Q32 Keywords: Historical gold market Forecasting mineral prices Long-term trend reverting

  9. 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 fuel The Fifth Power Plan includes price forecasts for natural gas, oil, and coal. Natural gas prices have by far costs for trains that deliver coal to the plants. Recent higher prices for coal are partially related

  10. 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...

  11. Residential propane price decreases slightly

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propane price

  12. Time-varying Predictability in Crude Oil Markets: The Case of GCC Countries

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    a nonlinear model to investigate the relationship between oil-price shock and economic growth in Japan the dynamic behavior of crude-oil prices for the period 1997-2008. Using data from four countries of the Gulf Cooperation Council, we find evidence of short-term pre- dictability in oil-price changes over time, except

  13. Essays in Applied Macroeconomics: Asymmetric Price Adjustment, Exchange Rate and Treatment Effect

    E-Print Network [OSTI]

    Gu, Jingping

    2009-05-15T23:59:59.000Z

    -varying volatility of gasoline price disturbances is an important feature of the data, and when we allow for asymmetric GARCH errors and investigate the system wide impulse response function, we find evidence of asymmetric adjustment to crude oil price changes...

  14. 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

    This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically...

  15. 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

    This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically...

  16. Bio-energy Logistics Network Design Under Price-based Supply and Yield Uncertainty

    E-Print Network [OSTI]

    Memisoglu, Gokhan

    2014-12-10T23:59:59.000Z

    -sourcing. To solve this problem, we propose a solution framework that uses an algorithm based on the L-shaped method along with a Sample Average Approximation (SAA) approach. An extensive case study by varying some of the problem input parameters is conducted...

  17. 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.

  18. SPOT PRICING FRAMEWORK FOR LOSS GUARANTEED INTERNET SERVICE CONTRACTS

    E-Print Network [OSTI]

    Kalyanaraman, Shivkumar

    . In a two-component approach to pricing, a nonlinear pricing scheme is used for cost recovery and a utility for cost recovery, and (ii) an options-based approach to price the risk of deviations in the loss based QoSPOT PRICING FRAMEWORK FOR LOSS GUARANTEED INTERNET SERVICE CONTRACTS Aparna Gupta Decision

  19. 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...

  20. 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 ...

  1. 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

  2. Radiowave-based process recovers oil from sludge at Texas site

    SciTech Connect (OSTI)

    NONE

    1996-12-02T23:59:59.000Z

    A radio frequency (RF)-based sludge treatment process is proving successful in demonstration tests at a Texas site. The process separates petroleum-based sludges into salable oil, treatment-quality water, and disposable solids. The system, called MST-4000, is effective on most sludges, including: dissolved-air-flotation float, slop oil emulsion solids, heat exchanger cleaning sludge, API separator sludge, and leaded tank bottoms. Major components of the system include: four high-power RF/microwave transmitters; four high-power RF/microwave illuminators, which focus the energy on the sludge in a small, cylindrical reactor; four computer-controlled, automatic RF tuners, which improve the quality of the RF/sludge interface by monitoring and adjusting vector impedance; a wave guide, which channels and controls the RF signals from the transmitters through the tuners and to the illuminators; a specially designed instrumentation and control system; and plumbing and piping systems. The paper describes the process and current tests being performed.

  3. 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...

  4. 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...

  5. Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy-related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the marketclearing process for risk transfer can be used to generate "price bands" around observed futures prices for crude oil, natural gas, and other commodities.

  6. 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

  7. 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 ...

  8. 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...

  9. Fact #835: August 25, Average Annual Gasoline Pump Price, 1929...

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

    50% since the data series began in 1929. The effect of the U.S. embargo of oil from Iran can be seen in the early 1980's with the price of gasoline peaking in 1982. From 2002...

  10. 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_

  11. In 1973 and 1979 a pair of sudden price increases rudely awakened the

    E-Print Network [OSTI]

    Kammen, Daniel M.

    that figure by the current production rate of about 23.6 Gbo a year might suggest that crude oil could remain dependence on cheap crude oil. Prices first tripled in re- sponse to an Arab embargo and then nearly doubled of readily accessible crude oil (so-called conventional oil). The five Middle Eastern members of the Orga

  12. State energy-price system: 1981 update

    SciTech Connect (OSTI)

    Fang, J.M.; Imhoff, K.L.; Hood, L.J.

    1983-08-01T23:59:59.000Z

    This report updates the State Energy Price Data System (STEPS) to include state-level energy prices by fuel and by end-use sectors for 1981. Both physical unit prices and Btu prices are presented. Basic documentation of the data base remains generally the same as in the original report: State Energy Price System; Volume 1: Overview and Technical Documentation (DOE/NBB-0029 Volume 1 of 2, November 1982). The present report documents only the changes in procedures necessitated by the update to 1981 and the corrections to the basic documentation.

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

    E-Print Network [OSTI]

    de Freitas, Nando

    economy. Commodity prices are key economical20 drivers in the market. Raw products such as oil, gold 15 1 Introduction16 17 1.1 Forecasting the commodities market18 The commodities market focuses of prices in both the short and long-term view25 point to help market participants gage a greater

  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. Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    -source agent-based test bed developed by the authors. AMES models a restructured wholesale power market test bed, locational marginal prices, demand-bid price sensitivity, supply-offer price caps, learning to as the Wholesale Power Market Platform (WPMP). As detailed in [3], versions of the WPMP have been implemented (or

  16. 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.

  17. Volatility Persistence in Crude Oil Markets Amlie CHARLES

    E-Print Network [OSTI]

    Boyer, Edmond

    , reflecting rising demand for crude oil, particularly from developing nations. Oil prices have been veryVolatility Persistence in Crude Oil Markets Amélie CHARLES Audencia Nantes, School of Management oil markets ­ Brent, West Texas Intermediate (WTI) and Organization of Petroleum Exporting Countries

  18. THE FISH LIVER OIL INDUSTRY FISH ERY LEAFLET 233

    E-Print Network [OSTI]

    of livers with respect to oil content and vitamin A potency · · Relationship of oil content and vitamin A by molecular dietillation · Concentration of vitamin A by saponification · Vitamin-oil specifications, pricesQY THE FISH LIVER OIL INDUSTRY FISH ERY LEAFLET 233 FISH AND WILDLIFE SERVICE United States

  19. NATCOR -Xpress case study Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average

    E-Print Network [OSTI]

    Hall, Julian

    NATCOR - Xpress case study Margaret Oil produces three products: gasoline, jet fuel, and heating oil. To produce these products, Margaret purchases crude oil at a price of £11 per barrel. Each day to produce gasoline or jet fuel. Distilled oil can be used to produce all three products. The octane level

  20. NATCOR -Xpress case study (advanced) Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average

    E-Print Network [OSTI]

    Hall, Julian

    NATCOR - Xpress case study (advanced) Margaret Oil produces three products: gasoline, jet fuel.5 for heating oil. To produce these products, Margaret can purchase two types of crude oil: crude 1 (at £12 per Jet fuel Heating oil Minimum octane 8.5 7 4.5 Price (£) 18 16 14 Minimum production 2500 3000 3500

  1. 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

  2. A Study of Strategies for Oil and Gas Auctions

    E-Print Network [OSTI]

    Nordt, David Paul

    2010-10-12T23:59:59.000Z

    of liquidity to sophisticated transaction services ......... 4 3.1 WTI crude oil drastically increased and declined from 2007?2008 illustrating commodity price volatility....................................................... 32 3.2 Second highest... Page 4.3 Common knowledge impacts average bid ratios for producing and undeveloped properties........................................................................ 56 5.1 Correlation oil price (WTI) to proved reserve market metrics, $/boe...

  3. 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.

  4. 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.

  5. All Price Tables.vp

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4) June

  6. All Price Tables.vp

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)

  7. All Price Tables.vp

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)0)

  8. All Price Tables.vp

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)0)8.

  9. All Price Tables.vp

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7) August4)0)8.2.

  10. Residential propane price is unchanged

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,

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

    SciTech Connect (OSTI)

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

    1983-02-01T23:59:59.000Z

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

  12. 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

  13. Do financial investors destabilize the oil price?

    Gasoline and Diesel Fuel Update (EIA)

    Germany; e-mail: marco.lombardi@ecb.europa.eu 3 Department of Financial Economics, Ghent University, Woodrow Wilsonplein 5D, B-9000 Gent, Belgium; e-mail: ine.vanrobays@ugent.be...

  14. Summary Statistics 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...

  15. Summary Statistics Table 1. Crude Oil Prices

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

    15.95 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. Summary Statistics Table 1. Crude Oil Prices

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

    23.22 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...

  1. 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...

  2. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993

  9. Crude Oil and Gasoline Price Monitoring

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View1997What

  10. Do financial investors destabilize the oil 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0CubicCubic Feet)Cubic--2,8190 0 0

  11. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration2 U.S.and Winter,

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResourcesjobsJuly throughR E Q U ESTEM

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21 Louisiana LouisianaCubicCubicYear Jan

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

    E-Print Network [OSTI]

    Savant, Gautam Sandesh

    2012-07-16T23:59:59.000Z

    into biodiesel. It is well known vegetable oil to biodiesel conversion involves many processes including transesterification, which makes biodiesel costly and time-consuming to produce. In this study, the effects of blending high-viscosity fresh and used corn...

  15. 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...

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

    E-Print Network [OSTI]

    Qiu, Fangda

    2011-08-08T23:59:59.000Z

    injected into sandstone cores containing Alaska North Slope West Sak heavy oil with 16 API, which was dewatered in the laboratory condition. The experiment results suggest that the potential application of this kind of emulsion flooding is a promising EOR...

  17. 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 ...

  18. 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.

  19. From oil shortage to oil glut: simulation of growth prospects in the Nigerian economy

    SciTech Connect (OSTI)

    Olofin, S.; Iyaniwura, J.O.

    1983-11-01T23:59:59.000Z

    During the 1970s, the economy of Nigeria provided one of the most interesting cases of development financed through oil revenue. Between 1970 and 1980, the country's GNP grew at an outstanding rate, but after the transition from oil shortage to oil glut, the economy of Nigeria ran into dramatic financial difficulties, which are now placing major constraints to its development. To investigate the transition from an oil-based economy to a stage characterized by greater diversification of exports and more balanced sectoral growth, a model has been built by the University of Ibadan in Nigeria. The model was developed in association with Project LINK staffing for the future inclusion in the Project. According to the finding presented in the study, the annual growth rate of GDP of Nigeria between 1980 and 1988 will be around 2.5%. To compensate the drop of the foreign-exchange earnings caused by the contraction of oil prices and demand, a vigorous export drive of agricultural products is simulated. 8 references, 7 figures, 4 tables.

  20. Residential propane price decreases slightly decreases slightly

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propane price7,

  1. 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.

  2. 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.

  3. 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

  4. fuel_oil.pdf

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444B (11-19-10)Fuel Oil

  5. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April 25, 20137a.06 2.01394-2015

  6. 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.

  7. 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

  8. Applications of EOR (enhanced oil recovery) technology in field projects--1990 update

    SciTech Connect (OSTI)

    Pautz, J.F.; Thomas, R.D.

    1991-01-01T23:59:59.000Z

    Trends in the type and number of US enhanced oil recovery (EOR) projects are analyzed for the period from 1980 through 1989. The analysis is based on current literature and news media and the Department of Energy (DOE) EOR Project Data Base, which contains information on over 1,348 projects. The characteristics of the EOR projects are grouped by starting date and process type to identify trends in reservoir statistics and applications of process technologies. Twenty-two EOR projects starts were identified for 1989 and ten project starts for 1988. An obvious trend over recent years has been the decline in the number of project starts since 1981 until 1988 which corresponds to the oil price decline during that period. There was a modest recovery in 1989 of project starts, which lags the modest recovery of oil prices in 1987 that was reconfirmed in 1989. During the time frame of 1980 to 1989, there has been a gradual improvement in costs of operation for EOR technology. The perceived average cost of EOR has gone down from a $30/bbl range to low $20/bbl. These costs of operation seems to stay just at the price of oil or slightly above to result in marginal profitability. The use of polymer flooding has drastically decreased both in actual and relative numbers of project starts since the oil price drop in 1986. Production from polymer flooding is down more than 50%. Long-term plans for large, high-cost projects such as CO{sub 2} flooding in West Texas, steamflooding in California, and hydrocarbon flooding on the North Slope have continued to be implemented. EOR process technologies have been refined to be more cost effective as shown by the continued application and rising production attributable to EOR. 8 refs., 6 figs., 13 tabs.

  9. 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.

  10. 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.

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

    E-Print Network [OSTI]

    Ahmad, Sajjad

    The Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 that structural breaks may be important. Since the economy depends heavily on oil revenue, oil price shocks have whether a significant long-run relationship exists between money and nominal GDP and between money

  12. 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 ...

  13. 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....

  14. 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....

  15. 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

  16. 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.

  17. World oil futures: results from the OILTANK model presented at the energy modeling forum

    SciTech Connect (OSTI)

    Ervik, L.K.; Johannessen, O.; Nunn, D.W.

    1980-09-01T23:59:59.000Z

    This report gives results from the OILTANK simulation model presented at the Energy Modeling Forum on future world oil price. 12 scenarios are presented.

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

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

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

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

    E-Print Network [OSTI]

    Torres-Verdín, Carlos

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

  20. Improved Hardness of Approximation for Stackelberg Shortest-Path Pricing

    E-Print Network [OSTI]

    Pennsylvania, University of

    G with fixed-cost and pricable edges and two distinct vertices s and t, we may assign prices to the prica- ble edges. Based on the predefined fixed costs and our prices, a customer purchases a cheapest s with it. In addition to these fixed costs, we may assign prices to a subset of the items. Given both fixed

  1. 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

  2. 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.

  3. 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

  4. Cursed Resources? Political Conditions and Oil Market Volatility*

    E-Print Network [OSTI]

    Edwards, Paul N.

    that there is a pronounced negative relationship between a country's political openness and the short-run volatility in oil shifts in oil demand or supply affect prices (see, for example, Hamilton (2009a) for a recent assessmentCursed Resources? Political Conditions and Oil Market Volatility* Gilbert E. Metcalf Tufts

  5. 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.

  6. 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 ...

  7. 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

  8. 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.

  9. 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.

  10. 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

  11. 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.

  12. 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.

  13. 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.

  14. Utah Heavy Oil Program

    SciTech Connect (OSTI)

    J. Bauman; S. Burian; M. Deo; E. Eddings; R. Gani; R. Goel; C.K. Huang; M. Hogue; R. Keiter; L. Li; J. Ruple; T. Ring; P. Rose; M. Skliar; P.J. Smith; J.P. Spinti; P. Tiwari; J. Wilkey; K. Uchitel

    2009-10-20T23:59:59.000Z

    The Utah Heavy Oil Program (UHOP) was established in June 2006 to provide multidisciplinary research support to federal and state constituents for addressing the wide-ranging issues surrounding the creation of an industry for unconventional oil production in the United States. Additionally, UHOP was to serve as an on-going source of unbiased information to the nation surrounding technical, economic, legal and environmental aspects of developing heavy oil, oil sands, and oil shale resources. UHOP fulGilled its role by completing three tasks. First, in response to the Energy Policy Act of 2005 Section 369(p), UHOP published an update report to the 1987 technical and economic assessment of domestic heavy oil resources that was prepared by the Interstate Oil and Gas Compact Commission. The UHOP report, entitled 'A Technical, Economic, and Legal Assessment of North American Heavy Oil, Oil Sands, and Oil Shale Resources' was published in electronic and hard copy form in October 2007. Second, UHOP developed of a comprehensive, publicly accessible online repository of unconventional oil resources in North America based on the DSpace software platform. An interactive map was also developed as a source of geospatial information and as a means to interact with the repository from a geospatial setting. All documents uploaded to the repository are fully searchable by author, title, and keywords. Third, UHOP sponsored Give research projects related to unconventional fuels development. Two projects looked at issues associated with oil shale production, including oil shale pyrolysis kinetics, resource heterogeneity, and reservoir simulation. One project evaluated in situ production from Utah oil sands. Another project focused on water availability and produced water treatments. The last project considered commercial oil shale leasing from a policy, environmental, and economic perspective.

  15. The Politics of Mexico’s Oil Monopoly

    E-Print Network [OSTI]

    Huizar, Richard

    2008-01-01T23:59:59.000Z

    based on the current oil reserves and oil production? 2) Forto either increase its oil reserves or decrease its oilthe world in terms of oil reserves by having 16,041 million

  16. The Politics of Mexico’s Oil Monopoly

    E-Print Network [OSTI]

    Huizar, Richard

    2008-01-01T23:59:59.000Z

    and Iran, Mexico has very few oil reserves. For instance,Mexico is ranked eighth in the world in terms of oil reservescan oil last in Mexico based on the current oil reserves and

  17. Essays on Oil, Energy, and Oil Self-Sufficiency in the U.S.

    E-Print Network [OSTI]

    Rowland, Christopher Scott

    2013-09-30T23:59:59.000Z

    When oil prices rise, politicians often call for improvements in energy efficiency or policies that they hope will make the U.S. more “energy independent.” The argument is that if we consume less oil, domestic supplies will constitute a larger...

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

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    2008 Abstract The relationship between gasoline prices and the demand for vehicle fuel efficiencyAutomobile 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

  19. 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...

  20. 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...