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Natural Resources Research

, Volume 13, Issue 1, pp 45–52 | Cite as

A Bootstrap Approach to Computing Uncertainty in Inferred Oil and Gas Reserve Estimates

  • Emil D. Attanasi
  • Timothy C. Coburn
Article

Abstract

This study develops confidence intervals for estimates of inferred oil and gas reserves based on bootstrap procedures. Inferred reserves are expected additions to proved reserves in previously discovered conventional oil and gas fields. Estimates of inferred reserves accounted for 65% of the total oil and 34% of the total gas assessed in the U.S. Geological Survey's 1995 National Assessment of oil and gas in US onshore and State offshore areas. When the same computational methods used in the 1995 Assessment are applied to more recent data, the 80-year (from 1997 through 2076) inferred reserve estimates for pre-1997 discoveries located in the lower 48 onshore and state offshore areas amounted to a total of 39.7 billion barrels of oil (BBO) and 293 trillion cubic feet (TCF) of gas. The 90% confidence interval about the oil estimate derived from the bootstrap approach is 22.4 BBO to 69.5 BBO. The comparable 90% confidence interval for the inferred gas reserve estimate is 217 TCF to 413 TCF. The 90% confidence interval describes the uncertainty that should be attached to the estimates. It also provides a basis for developing scenarios to explore the implications for energy policy analysis.

Oil and gas inferred reserve estimates confidence intervals 

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REFERENCES

  1. Attanasi, E. D., 2001, Inferred oil and gas reserve estimates of the United States: U.S. Geol. Survey Open-File Rept. 01-447, 29p.Google Scholar
  2. Attanasi, E. D., and Root, D. H., 1994, The enigma oil and gas field growth: Am. Assoc. Petroleum Geologists Bull., v. 78, no. 3, p. 321-332.Google Scholar
  3. Drew, L. J., 1997, Undiscovered petroleum and mineral resources: assessment and controversy: Plenum Publ. Co., New York, 210p.Google Scholar
  4. Efron, B., and Gong, G., 1983, A leisurely look at the bootstrap, the jackknife and cross-validation: Am. Statistician, v. 7, no. 1, p. 36-48.Google Scholar
  5. Efron, B., and Tibshirani, 1993, An introduction to the bootstrap: Chapman and Hall/CRC, Boca Raton, FL, 436p.Google Scholar
  6. Gautier, D. L., Dolton, G. L., Takahashi, K. I., and Varnes, K. L., eds., 1996, 1995 National assessment of United States oil and gas resources-results, methodology, and supporting data: U.S. Geol. Survey Digital Data Series 30, version 2 corrected.Google Scholar
  7. Kaufman, G. M., 1993, Statistical issues in the assessment of undiscovered oil and gas resources: The Energy Jour., v. 14, no. 1, p. 183-215.Google Scholar
  8. Root, D. H., Attanasi, E. D., Mast, R. F., and Gautier, D. L., 1997, Estimates of inferred reserves for the 1995 U.S. Geological Survey National Oil and Gas Resource Assessment: U.S. Geol. Survey Open-File Rept. 95-75-L, 29p.Google Scholar
  9. Securities and Exchange Commission, 1981, Regulation S-X Rule 40-10, Financial Accounting and Reporting Oil and Gas Producing Activities, Securities and Exchange Commission Reserves Definitions, Bowne & Co. Inc., March 1981, New York.Google Scholar
  10. Sem, T., and Ellerman, D., 1999, North Sea reserve appreciation, production, and depletion: MIT-CEEPR 99-011 Working Paper, 37p.Google Scholar
  11. Society of Petroleum Engineers, 1987, Reserves definitions approved: Jour. Petroleum Technology, v. 39, no. 5, p. 576-578.Google Scholar
  12. Watkins, G. C., 2002, Characteristics of North Sea oil reserve appreciation: Quart. Rev. Economics and Finance, v. 42, no 3, p. 335-372.Google Scholar

Copyright information

© International Association for Mathematical Geology 2004

Authors and Affiliations

  1. 1.US Geological Survey MS 956Reston
  2. 2.Department of Management ScienceAbilene Christian UniversityAbilene

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