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Abstract

This chapter presents methods for constructing reservoir-model frameworks. A reservoir model framework is a representation of reservoir architecture, and it incorporates geological variables that segregate large heterogeneities in the reservoir. A framework without using faults is termed unfaulted framework and its main inputs are stratigraphic elements. A framework constructed with faults is termed faulted framework and it incorporates both stratigraphic elements and faults. A reservoir-model framework is also termed geocellular model because the 3D model is composed of discretized cells that are subsequently filled with reservoir properties. Heterogeneities of petrophysical properties of a reservoir cannot be accurately described without a 3D geocellular model framework.

This chapter also presents methods for mapping well-log data into a 3D model framework. This is because well data must be collocated with other data to constrain the distributions of the reservoir properties in the 3D model. The data mapping can be more complex than it appears to be because it often involves a change of support (scale).

Form follows function

Luis Sullivan

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References

  • Ma, Y. Z. (2009). Simpson’s paradox in natural resource evaluation. Mathematical Geosciences, 41(2), 193–213. https://doi.org/10.1007/s11004-008-9187-z.

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Ma, Y.Z. (2019). Constructing 3D Model Framework and Change of Support in Data Mapping. In: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-17860-4_15

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  • DOI: https://doi.org/10.1007/978-3-030-17860-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17859-8

  • Online ISBN: 978-3-030-17860-4

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