Drilling speed—the relevance of experience
AbstractDrilling expenses have increased sharply in recent years. The productivity of drilling operations – in terms of meters drilled per day – significantly influences exploration costs. Hence it is important to understand the factors that determine drilling productivity. In this study we analyze the effect of different types of experience or learning on offshore drilling productivity. The econometric analysis employs a large data set on exploration wells from the Norwegian Continental Shelf, covering most of its 45year drilling history. Many other industries have a steep learning curve. A central question here is if learning effects also contribute to increased productivity in petroleum exploration drilling. Furthermore, to what extent do diseconomies associated with reservoir depletion effects and limited acreage counteract learning effects on productivity?
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Bibliographic InfoArticle provided by Elsevier in its journal Energy Economics.
Volume (Year): 34 (2012)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/eneco
Learning effects; Drilling; Productivity;
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- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
- Petter Osmundsen, 1998. "Dynamic Taxation of Non-renewable Natural Resources Under Asymmetric Information About Reserves," Canadian Journal of Economics, Canadian Economics Association, vol. 31(4), pages 933-951, November.
- Asafu-Adjaye, J. & Mahadevan, R., 2003. "How cost efficient are Australia's mining industries?," Energy Economics, Elsevier, vol. 25(4), pages 315-329, July.
- Ryan Kellogg, 2009.
"Learning by Drilling: Inter-Firm Learning and Relationship Persistence in the Texas Oilpatch,"
NBER Working Papers
15060, National Bureau of Economic Research, Inc.
- Ryan Kellogg, 2011. "Learning by Drilling: Interfirm Learning and Relationship Persistence in the Texas Oilpatch," The Quarterly Journal of Economics, Oxford University Press, vol. 126(4), pages 1961-2004.
- Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2005. "Technological change and petroleum exploration in the Gulf of Mexico," Energy Policy, Elsevier, vol. 33(5), pages 619-632, March.
- Richard L. Farnsworth & Richard B. Norgaard, 1976. ""Technical Change and Petroleum Drilling Costs": Comment," Land Economics, University of Wisconsin Press, vol. 52(1), pages 103-108.
- Klaus Mohn, 2008. "Efforts and Efficiency in Oil Exploration: A Vector Error-Correction Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 53-78.
- Alexander Kemp & Sola Kasim, 2006. "A Regional Model Of Oil And Gas Exploration In The Ukcs," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(2), pages 198-221, 05.
- Xunpeng Shi & R. Grafton, 2010. "Efficiency impacts of the Chinese industrial transition: a quantitative evaluation of reforms in the coal industry," Economic Change and Restructuring, Springer, vol. 43(1), pages 1-19, February.
- Osmundsen, Petter & Sørenes, Terje & Toft, Anders, 2008. "Drilling contracts and incentives," Energy Policy, Elsevier, vol. 36(8), pages 3128-3134, August.
- Stoker, Thomas M. & Berndt, Ernst R. & Denny Ellerman, A. & Schennach, Susanne M., 2005. "Panel data analysis of U.S. coal productivity," Journal of Econometrics, Elsevier, vol. 127(2), pages 131-164, August.
- Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
- Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
- Iledare, Omowumi O. & Pulsipher, Allan G., 1999. "Sources of change in petroleum drilling productivity in onshore Louisiana in the US, 1977-1994," Energy Economics, Elsevier, vol. 21(3), pages 261-271, June.
- Osmundsen, Petter & Rosendahl, Knut Einar & Skjerpen, Terje, 2012.
"Understanding Rig Rates,"
UiS Working Papers in Economics and Finance
2012/9, University of Stavanger.
- Osmundsen, Petter & Roll, Kristin Helen, 2013. "Concave Drilling Curves," UiS Working Papers in Economics and Finance 2013/1, University of Stavanger.
- Asche, Frank & Dahl, Roy Endre & Oglend, Atle, 2013. "Value-at-Risk: Risk assessment for the portfolio of oil and gas producers," UiS Working Papers in Economics and Finance 2013/3, University of Stavanger.
- Lars Lindholt, 2013. "The tug-of-war between resource depletion and technological change in the global oil industry 1981 - 2009," Discussion Papers 732, Research Department of Statistics Norway.
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