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Mathematical Geology

, Volume 28, Issue 7, pp 829–842 | Cite as

Challenges in reservoir forecasting

  • Clayton V. Deutsch
  • Thomas A. Hewett
Article

Abstract

The combination of geostatistics-based numerical geological models and finite difference flow simulation has improved our ability to predict reservoir performance. The main contribution of geostatistical modeling has been more realistic representations of reservoir heterogeneity. Our understanding of the physics of fluid flow in porous media is reasonably captured by flow simulators in common usage. Notwithstanding the increasing application and success of geostatistics and flow simulation there remain many important challenges in reservoir forecasting. This application has alerted geoscientists and physicists that geostatistical/flow models in many respects, are, engineering approximations to thereal spatial distribution andreal flow processes. This paper reviews current research directions and presents some new ideas of where reserach could be focused to improve our ability to model geological features, model flow processes, and, ultimately, improve reservoir performance predictions.

Key words

geostatistics flow simulation streamtubes scale up gridding accuracy and precision modeling uncertainty 

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Copyright information

© International Association for Mathematical Geology 1996

Authors and Affiliations

  • Clayton V. Deutsch
    • 1
  • Thomas A. Hewett
    • 1
  1. 1.Petroleum Engineering DepartmentStanford UniversityStanford

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