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Modeling Petroleum Reservoirs in Pennsylvanian Strata of the MidContinent, USA

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Part of the book series: Computer Applications in the Earth Sciences ((CAES))

Abstract

Improved characterization of petroleum reservoirs must include better geologic models in order to predict quantitative attributes of reservoir units. By necessity, petroleum reservoir prediction and modeling must make both interpolations and extrapolations from limited data. Several approaches to modeling of sedimentary rocks include descriptive or conceptual (qualitative) geologic models and geostatistical, simulation (process), and visualization (quantitative) models. Each type of model has its advantages and limitations, including the appropriate scale of application, data requirements, and knowledge as to how the reservoir was formed. All of the models compliment one another, providing views of complex reservoirs from different perspectives. Quantitative modeling potentially can create a more coherent, integrated view of the reservoir than qualitative conceptual models. An optimum model probably includes a combination of approaches based on the extent and type of knowledge about the reservoir.

The examples of stratigraphic simulation and 3D visualization models presented in this paper are based on multilayered oolite units developed in the Upper Pennsylvanian, carbonate-dominated Swope Formation depositional sequence in both the swallow subsurface of eastern Kansas and in the Victory Field in southwestern Kansas. The models discussed in this paper include local and regional scales and quantitative process and visualization types.

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© 1996 Plenum Press, New York

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Watney, W.L., French, J.A., Guy, W.J. (1996). Modeling Petroleum Reservoirs in Pennsylvanian Strata of the MidContinent, USA. In: Geologic Modeling and Mapping. Computer Applications in the Earth Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0363-3_3

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  • DOI: https://doi.org/10.1007/978-1-4613-0363-3_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-306-45293-2

  • Online ISBN: 978-1-4613-0363-3

  • eBook Packages: Springer Book Archive

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