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Prediction of hydrocarbons in sedimentary basins

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Abstract

To estimate the undiscovered hydrocarbon potential of sedimentary basins, quantitative play assessments specific for each location in a region may be obtained using geostatistical methods combined with the theory of classification of geological objects, a methodology referred to as regionalization. The technique relies on process modeling and measured borehole data as well as probabilistic methods to exploit the relationship between geology (the “predictor”) and known hydrocarbon productivity (the “target”) to define prospective stratigraphic intervals within a basin. It is demonstrated in case studies from the oil-producing region of the western Kansas Pennsylvanian Shelf and the gas-bearing Rotliegend sediments of the Northeast German Basin.

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References

  • Allen, P. A., and Allen, J. R., 1990,Basin Analysis—Principles and Applications: Blackwell Sci. Pub., Oxford, 451 p.

    Google Scholar 

  • Gnedenko, B. W., 1970,Lehrbuch der Wahrscheinlichkeitsrechnung: Akademie Verlag, Berlin, 399 p.

    Google Scholar 

  • Harff, J., and Davis, J. C., 1990, Regionalization in Geology by Multivariate Classification: Math. Geol., v. 22, n. 5, p. 573–588.

    Google Scholar 

  • Harff, J., Eiserbeck, W., Hoth, K., and Springer, J., 1990, Modellierung Tiefer Sedimentärer Becken zur Perspektivitätsbewertung von Erdöl und Erdgas: Veröff. Niedersächs. Akademie Geowiss., v. 4, p. 91–95.

    Google Scholar 

  • Harff, J., Davis, J. C., and Olea, R. A., 1991, Quantitative Assessment of Mineral Resources with an Application to Petroleum Geology: Nonrenewable Res. v. 1, n. 1, p. 74–84.

    Google Scholar 

  • Harff, J., Davis, J. C., Olea, R. A., and Bohling, G., 1991, Regionalization of Western Kansas Based on Multivariate Classification of Stratigraphic Data from Oil Wells, II: Kansas Geol. Survey, Open-File Report 91–40, 30 p.

  • Harff, J., Olea, R. A., and Bohling, G., in press. From Multivariate Sampling to Thematic Maps with an application to Marine Geochemistry,in J. C. Davis and U. C. Herzfeld (eds.),Computers in Geology: 25 Years of Progress: Oxford Univ. Press, New York.

  • Journel, A. G., and Huijbregts, C. J., 1978,Mining Geostatistics: Academic Press, New York, 600 p.

    Google Scholar 

  • Rodionov, D. A., 1981,Statisticěskie Resěnija v Geologii.: Izd. “Nedra,” Moskva, 231 p.

    Google Scholar 

  • Tissot, B. P., and Welte, D. H., 1984,Petroleum Formation and Occurrence Springer Verlag, Berlin, 699 p.

    Google Scholar 

  • Watney, W. L., 1984, Recognition of Favorable Reservoir Trends in Upper Pennsylvanian Cyclic Carbonates in Western Kansas,in N. J. Hyne (ed.),Limestones of the Mid-Continent: Tulsa Geol. Soc. Spec. Publ. No. 2, p. 201–246.

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Harff, J.E., Davis, J.C. & Eiserbeck, W. Prediction of hydrocarbons in sedimentary basins. Math Geol 25, 925–936 (1993). https://doi.org/10.1007/BF00891051

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