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Technological progress and the availability of European oil and gas resources

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  • Aguilera, Roberto F.
  • Ripple, Ronald D.

Abstract

This paper estimates supply cost curves for conventional oil and gas in Europe. Oil and gas volumes are distributed across five categories that are based on production costs. The resulting supply figures are intended to be long term representations of how quantities vary with production costs. Both economic and physical measures are used since each provides practical information with respect to the concerns some energy commentators have expressed about oil and gas scarcity in the near future. Supply cost curves incorporating the effect of annual technological advancement (i.e. productivity gains) on production costs to the year 2030 are also estimated. On the quantity side, the curves include volumes from geological provinces not previously assessed. Results indicate that conventional oil and gas in Europe is abundant and can likely be produced at costs below current and projected market oil and gas prices.

Suggested Citation

  • Aguilera, Roberto F. & Ripple, Ronald D., 2012. "Technological progress and the availability of European oil and gas resources," Applied Energy, Elsevier, vol. 96(C), pages 387-392.
    • Handle: RePEc:eee:appene:v:96:y:2012:i:c:p:387-392
    DOI: 10.1016/j.apenergy.2012.02.069
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    References listed on IDEAS

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    1. Rubin, Edward S. & Yeh, Sonia & Antes, Matt & Berkenpas, Michael & Davison, John, 2007. "Use of experience curves to estimate the future cost of power plants with CO2 capture," Institute of Transportation Studies, Working Paper Series qt46x6h0n0, Institute of Transportation Studies, UC Davis.
    2. repec:aen:journl:2009v30-01-a06 is not listed on IDEAS
    3. William D. Nordhaus, 2009. "The Perils of the Learning Model For Modeling Endogenous Technological Change," NBER Working Papers 14638, National Bureau of Economic Research, Inc.
    4. Tangen, Grethe & Mølnvik, Mona J., 2009. "Scenarios for remote gas production," Applied Energy, Elsevier, vol. 86(12), pages 2681-2689, December.
    5. Wonglimpiyarat, Jarunee, 2010. "Technological change of the energy innovation system: From oil-based to bio-based energy," Applied Energy, Elsevier, vol. 87(3), pages 749-755, March.
    6. Aguilera, Roberto F., 2010. "The future of the European natural gas market: A quantitative assessment," Energy, Elsevier, vol. 35(8), pages 3332-3339.
    7. Nico Bauer & Ottmar Edenhofer & Socrates Kypreos, 2008. "Linking energy system and macroeconomic growth models," Computational Management Science, Springer, vol. 5(1), pages 95-117, February.
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    Cited by:

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