Modeling Complex Reservoirs with Multiple Conditional Techniques: A Practical Approach to Reservoir Characterization
H. Beucher-Darricau, B. Doligez, J. M. Yarus, 2006. "Modeling Complex Reservoirs with Multiple Conditional Techniques: A Practical Approach to Reservoir Characterization", Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies, Volume II, T. C. Coburn, J. M. Yarus, R. L. Chambers
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Modeling petroleum reservoirs and the intricacies of their inherent morphological and structural characteristics requires sophisticated tools. These tools may consist of deterministic or stochastic methods that allow the interwell space to be filled with representative reservoir properties. Integrating a variety of modeling tools may be necessary for characterizing complex reservoirs. In such cases, the relationships among the lithofacies, the shapes and sizes of the sedimentary bodies, and the depositional mode of the litostratigraphic units must be defined.
It is also important to incorporate other types of information. Including conceptual geological information or three-dimensional seismic data enhances the model particularly when borehole and core data are limited. This chapter demonstrates the use of object-based, pixel-based, and hybrid stochastic-simulation techniques using a case study involving data from the Ravenscar Group located along the east coast of Yorkshire in the United Kingdom.