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Statistical Evaluation of Petroleum Deposits Before Discovery

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Book cover Quantitative Analysis of Mineral and Energy Resources

Part of the book series: NATO ASI Series ((ASIC,volume 223))

Abstract

Pre-discovery evaluations of prospects are conditional on perceptions of trap geometry and assumptions about regional endowment. These conditional relationships must be determined explicitly in order to assess the expected worth of petroleum deposits, and to achieve realistic resource and reserve estimates.

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References

  • Arnold, B. C., 1985, ‘Pareto distribution,’ in Kotz, S., Johnson, N. L., and Read, C. B., eds., Encyclopedia of Statistical Sciences, 6: John Wiley & Sons, Inc., New York, 758 p.

    Google Scholar 

  • Arps, J. J., 1945, ‘Analysis of decline curves’: Transactions of the AIME, 160, p. 228–247.

    Google Scholar 

  • Arps, J. J. and Roberts, T. G., 1958, ‘Economics of drilling for Cretaceous oil on the east flank of the Denver-Julesburg basin’: Am. Assoc. Petroleum Geologists Bull., 42, p. 2549–2566.

    Google Scholar 

  • Attanasi, E. D. and Drew, L. J., 1985, ‘Lognormal field size distributions as a consequence of economic truncation’: Mathematical Geology, 17, no. 4, p. 335–351.

    Article  Google Scholar 

  • Attanasi, E. D., Drew, L. J., and Root, D. H., 1981, ‘Physical variables and the petroleum discovery process,’ in Ramsey, J. B, ed., Economics of Exploration for Energy Resources: JAI Press, Greenwich, Ct., p. 3–18.

    Google Scholar 

  • Barouch E. and Kaufman, G. M., 1977, ‘Estimation of undiscovered oil and gas,’in Proceedings of the Symp. in Applied Mathematics: Amer. Math. Soc., XXI, p. 77–91.

    Google Scholar 

  • Davis, J. C. and Harbaugh, J. W., 1981, A method for rapid evaluation of oil and gas prospects in the OCS regions: Report, U.S. Dept. Interior, Geological Survey, No. 14-08-0001-18785, 62 p.

    Google Scholar 

  • Davis, J. C. and Harbaugh, J. W., 1983, ‘Statistical appraisal of seismic prospects in Louisiana-Texas Outer Continental Shelf’: Am. Assoc. Petroleum Geologists Bull., 67, no. 3, p. 349–358.

    Google Scholar 

  • Demaison, G., 1984, ‘The generative basin concept,’ in Demaison, G. and Murris, R. J., eds., Petroleum Geochemistry and Basin Evaluation: Am. Assoc. Petroleum Geologists, Mem. 35, p. 1–14.

    Google Scholar 

  • Demaison, G. and Murris, R. J., eds., 1984, Petroleum Geochemistry and Basin Evaluation: Am. Assoc. Petroleum Geologists, Mem. 35, 426 p.

    Google Scholar 

  • Draper, N. R. and Smith, H., 1981, Applied Regression Analysis: John Wiley & Sons, Inc., New York, 709 p.

    Google Scholar 

  • Drew, L. J., 1967, ‘Grid-drilling exploration and its application to the search for petroleum’: Economic Geology, 62, no. 5, p. 698–710.

    Article  Google Scholar 

  • Drew, L. J., 1972, ‘Spatial distribution of the probability of occurrence and the value of petroleum; Kansas, an example’: Mathematical Geology, 4, no. 2, p. 155–171.

    Article  Google Scholar 

  • Drew, L. J. and Griffiths, J. C., 1965, Size, shape and arrangement of some oilfields in the USA: Symp. on Computer Applications in the Mineral Industries, Pennsylvania State Univ., p. FF1- FF31.

    Google Scholar 

  • Drew, L. J., Schuenemeyer, J. H., and Root, D. H., 1980, Petroleum-resource appraisal and discovery rate forecasting in partially explored regions—An application to the Denver Basin: U.S. Geological Survey Prof. Paper 1138-A, 11 p.

    Google Scholar 

  • Forman, D. J. and Hinde, A. L., 1985, ‘Improved statistical method for assessment of undiscovered petroleum resources’: Am. Assoc. Petroleum Geologists Bull., 69, p. 106–118.

    Google Scholar 

  • Griffiths, J. C. and Drew, L. J., 1966, Grid spacing and success ratios in exploration for natural resources: 6th Ann. Symp. and Short Course on Computers and Operations Research in Mineral Industries, Pennsylvania State Univ., 17 p.

    Google Scholar 

  • Griffiths, J. C. and Singer, D. A., 1971, A first generation simulation model for selecting among exploration programs, with special application to the search for uranium ore bodies: Geocom Programs, no. 2, London, 42 p.

    Google Scholar 

  • Harbaugh, J. W., Doveton, J. H., and Davis, J. C., 1977, Probability Methods in Oil Exploration: John Wiley & Sons, New York, 269 p.

    Google Scholar 

  • Harbaugh, J. W. and Ducastaing, M., 1981, Historical changes in oilfield populations as a method of forecasting field sizes of undiscovered populations: A comparison of Kansas, Wyoming, and California: Kansas Geol. Survey, Subsurface Geology Series 5, Univ. Kansas, 56 p.

    Google Scholar 

  • Haun, J. D., 1971, Potential oil and gas resources: Unpub. Progress Rept., Colorado School Mines, Golden, Colo., 18 p.

    Google Scholar 

  • Hitchon, B. and Horn, M. K., 1974, ‘Petroleum indicators in formation waters from Alberta, Canada’: Am. Assoc. Petroleum Geologists Bull., 58, p. 464–473.

    Google Scholar 

  • Howarth, R. J., White, C. M., and Koch, G. S., 1980, ‘On Zipf’s law applied to resource prediction’: Inst. Min. Met. Trans. (Sect. B: Applied Earth Sciences), 89, p. B182-B190.

    Google Scholar 

  • Kaufman, G. M., 1963, Statistical Decision and Related Techniques in Oil and Gas Exploration: Prentice-Hall, Inc., Englewood Cliffs, N.J., 307 p.

    Google Scholar 

  • Kaufman, G. M., 1965, ‘Statistical analysis of the size distribution of oil and gas fields’, in Symposium on Petroleum Economics and Evaluation: Transactions of the AIME, 224, p. 109–124.

    Google Scholar 

  • Kaufman, G. M., Balcer, Y., and Kruyt, D., 1975, ‘A probabilistic model of oil and gas discovery,’in Haun, J. D., ed., Methods of Estimating the Volume of Undiscovered Oil and Gas Resources: Am. Assoc. Petroleum Geologists, Studies in Geology No. 1, p. 113–142.

    Google Scholar 

  • Kontorovich, A. E., 1984, ‘Geochemical methods for the quantitative evaluation of the petroleum potential of sedimentary basins,’ in Demaison, G. and Murris, R. J., eds., Petroleum Geochemistry and Basin Evaluation: Am. Assoc. Petroleum Geologists, Mem. 35, p. 79–109.

    Google Scholar 

  • Lee, P. J. and Wang, P.C.C., 1983, ‘Probabilistic formulation of a method for the evaluation of petroleum resources’: Mathematical Geology, 15, no. 1, p. 163–181.

    Article  Google Scholar 

  • McGray, A. W., 1975, Petroleum Evaluations and Economic Decisions: Prentice-Hall, Inc., Englewood Cliffs, N.J., 448 p.

    Google Scholar 

  • McCrossan, R. G., 1969, ‘An analysis of size frequency distribution of oil and gas reserves of western Canada’: Canadian Jour. Earth Sci., 6, no. 2, p. 201–211.

    Article  Google Scholar 

  • Meisner, J. and Demirmen, F., 1981, The creaming method: A Bayesianprocedure to forecast future oil and gas discoveries in mature exploration provinces’:Jour. Royal Statistical Society, Series A (General), 144, Part 1, p. 1–31.

    Article  Google Scholar 

  • Neter, J. and Wasserman, W., 1974, Applied Linear Statistical Models: Richard D. Irwin, Inc., Homewood, III., 842 p.

    Google Scholar 

  • Newendorp, P. D., 1975, Decision Analysis for Petroleum Exploration: Petroleum Publ. Co., Tulsa, Okla., 750 p.

    Google Scholar 

  • Roy, K. J., Proctor, R. M., and McCrossan, R. G., 1975, Hydrocarbon assessment using subjective probability, in Probability Methods in Oil Exploration: Proc. Am. Assoc. Petroleum Geologists Research Symposium, Stanford Univ., Stanford, Calif.

    Google Scholar 

  • Schuenemeyer, J. H. and Drew, L. J., 1983, ‘A procedure to estimate the parent population of the size of oil and gas fields as revealed by a study of economic truncation’:Mathematical Geology, 15, no. 1, p. 145–161.

    Article  Google Scholar 

  • Seber, G.A.F., 1977, Linear Regression Analysis: John Wiley & Sons, Inc., New York, 465 p.

    Google Scholar 

  • Singer, D. A., 1972, Elipgrid, a FORTRAN IV program for calculating the probability of success in locating elliptical targets with square, rectangular and hexagonal grids: Geocom Programs, no. 4, London, 16 p.

    Google Scholar 

  • Singer, D. A. and Wickman, F. E., 1969, Probability tables for locating elliptical targets with square, rectangular and hexagonal point-nets: Pennsylvania State Univ. Mineral Science Experiment Station Spec. Pub. 1–69,100 p.

    Google Scholar 

  • Sluijk, D. and Nederlof, M. H., 1984, ‘Worldwide geological experience as a systematic basis for prospect appraisal,’ in Demaison, G. and Murris, R. J., eds., Petroleum geochemistry and Basin Evaluation: Am. Assoc. Petroleum Geologists, Mem. 35, p. 15–26.

    Google Scholar 

  • Solomon, H. and Stephens, M. A., 1978, ‘Approximations to density functions using Pearson curves’: Jour. American Statistical Assoc., 73, p. 153–160.

    Article  Google Scholar 

  • Tissot, B. P. and Welte, D. H., 1984, Petroleum Formation and Occurrence, 2nd ed.: Springer-Verlag, Berlin, 699 p.

    Google Scholar 

  • Waples, D., 1981, Organic Geochemistry for Exploration Geologists: Burgess Publ. Co., Minneapolis, Minn., 151 p.

    Google Scholar 

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© 1988 D. Reidel Publishing Company, Dordrecht, Holland

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Davis, J.C. (1988). Statistical Evaluation of Petroleum Deposits Before Discovery. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_10

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  • DOI: https://doi.org/10.1007/978-94-009-4029-1_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8288-4

  • Online ISBN: 978-94-009-4029-1

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