Comparison of discovery process methods for estimating undiscovered resources

Bulletin of Canadian Petroleum Geology

Volumn 47, Issue 1, 1999, Pages 19-30

  Lee, P J ^a   Gill, D ^b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b GEOLOGICAL SURVEY OF ISRAEL   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROCARBON RESOURCE; RESOURCE ASSESSMENT;

EID: 0032979265     PISSN: 00074802     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. Arps, J.J. and Roberts, T.G. 1958. Economics of drilling for Cretaceous oil on the east flank of Denver-Julesberg Basin. American Association of Petroleum Geologists, Bulletin, v. 42, p. 2549-2566.
2. Bettini, C. 1987. Forecasting populations of undiscovered oil fields with the log-Pareto distribution. Unpublished Ph.D. thesis, Stanford University, Stanford, USA, 221 p.
3. Bickel, P.J., Nair, V.J. and Wang, P.C.C. 1992. Nonparametric inference under biased sampling from a finite population. The Annals of Statistics, v. 20, no. 2, p. 853-878.
4. Cassel, C.M., Särndal, C.E and Wretman, J.H. 1977. Foundations of inference in survey sampling. John Wiley & Sons, New York, 192 p.
5. Chambers, J.M., Cleveland, W.S., Kleiner, B. and Tukey, P.A. 1983. Chapter 6 of Graphical Methods for Data Analysis. Wadsworth Statistical/Probability Series, Wadsworth International Group, Belmont, California, 395 p.
6. Chen Z. 1993. Quantification of petroleum resources through sampling from a parent field size distribution and as a function of basin yield. Unpublished Ph.D. thesis, The Norwegian Institute of Technology, Tronheim, Norway, 236 p.
7. _ and Sinding-Larsen, R. 1992. Resource assessment using a modified anchored method. Presented at the 29th International Geological Congress, Kyoto, Japan, August 24 to September 4, 1992.
8. Drew, L.J. 1990. Oil and gas forecasting: reflections of a petroleum geologist. Oxford University Press, Oxford, 252 p.
9. _ and Schuenemeyer, J.H. 1993. The evolution and use of discovery process models at the U.S. Geological Survey. American Association of Petroleum Geologists, Bulletin, v. 77, p. 467-478.
10. _, Schuenemeyer, J.H. and Mast, R.F. 1995. Application of the modified Arps-Roberts discovery process model to the 1995 U.S. National oil and gas assessment. Nonrenewable Resources, v. 4, p. 242-252.
11. Gill, D. 1979. Differential entrapment of oil and gas in the Niagaran pinnacle-reef belt of northern Michigan. America-n Association of Petroleum Geologists, Bulletin, v. 63, p. 608-620.
12. _ 1994a. Niagaran reefs of northern Michigan, Part I: Exploration portrait. Journal of Petroleum Geology, v. 17, no. 1, p. 99-110.
13. _ 1994b. Niagaran reefs of northern Michigan, Part II: Resource appraisal: Journal of Petroleum Geology, v. 17, no. 2, p. 231-242.
14. Houghton, J.C. 1988. Use of the truncated shifted Pareto distribution in assessing size distribution of oil and gas fields. Mathematical Geology, v. 20, no. 8, p. 907-937.
15. Johnson, N.L. and Kotz, S. 1970. Continuous univariate distributions - 1. Houghton Mifflin Company, Boston, p. 233-249.
16. Kaufman, G.M. 1986. Finite population sampling methods for oil and gas resource estimation. In: Oil and Gas Assessment - Methods and Applications. D.D. Dudley (ed.). American Association of Petroleum Geologists, Studies in Geology, no. 21, p.43-53.
17. _, Balcer, Y. and Kruyt, D. 1975. A Probabilistic Model of Oil and Gas Discovery. In: Methods of Estimating the Volume of Undiscovered Oil and Gas Resources, J.D. Haun (ed.). American Association of Petroleum Geologists, Studies in Geology, no 1, p. 113-142.
18. Lee, P.J. 1993. Two decades of Geological Survey of Canada petroleum resource assessments: Canadian Journal of Earth Science, v. 30, p. 321-332.
19. _ 1997. Estimating the number-of-pools distribution based on discovery sequences. National Science Council of Taiwan Research Report, NSC 86-2116-M-006-014-T. Available from the National Cheng Kung University, Tainan, Taiwan 701, ROC.
20. _ and Tzeng, H.P. 1993. The Petroleum Exploration and Resource Evaluation System (PETRIMES) - Working Reference Guide. Geological Survey of Canada, Open File 2703, 168 p.
21. _ and _ 1995. Effects of appreciation and/or depreciation of gas pools on petroleum resource assessment. Geological Survey of Canada. Open File 3058, p. 341-343.
22. _ and Wang, P.C.C. 1983. Probabilistic formulation of a method for evaluation of petroleum resources. Mathematical Geology, v. 15, p. 163-181.
23. _ and _ 1985. Prediction of oil or gas pool sizes when discovery record is available. Mathematical Geology, v. 17, no. 2, p. 95-113.
24. _ and _ 1990. An introduction to petroleum resource evaluation methods. Short Course Notes, Canadian Society of Petroleum Geologists, Convention, May 27-30, 1990.
25. Long, K.R. 1988. Estimating the number and sizes of undiscovered oil and gas pools. Unpublished Ph.D. thesis, The University of Arizona, 160 p.
26. Lorentziadis, P.L. 1991. Forecasts in oil exploration and prospect evaluation for financial decisions: a semi-parametric approach. Unpublished Ph.D. thesis, University of California at Berkeley, California, USA. 191 p.
27. Marquardt, D.W. 1963. An algorithm for least-squares estimation of nonlinear parameters. Society for Industrial and Applied Mathematics, v. 11, p. 431-441.
28. Meisner, J. and Demirmen, F. 1981. The Creaming method: a Bayesian procedure to forecast future oil and gas discoveries in mature exploration provinces. The Journal of the Royal Statistical Society, Series A (General), v. 144, Part 1, p. 1-13.
29. Schuenemeyer, J.H. and Drew, L.L. 1994. Description of a discovery process modeling procedure to forecast future oil and gas using field growth (ARDS version 2.03), U.S. Geological Survey, Open File Report 94-113, 216 p.
30. Stone, L.D. 1990. Bayesian estimation of undiscovered pool sizes using the discovery record. Mathematical Geology, v. 22, no. 3, p. 309-332.
31. Wang, P.C.C. and Nair, V J. 1988. Statistical analysis of oil and gas discovery data. In: Quantitative Analysis of Mineral and Energy Resources. Chung et al. (eds.). (NATO ASI Series, series C, v. 223). Dordrecht, Reidel, p. 199-214.