Geostatistical imaging of heterogeneous reservoirs for fluid flow simulations

Dominiqu Guerillot; Jean-Marc Chautru; Daniel Rahon

doi:10.1117/12.187496

23 September 1994 Geostatistical imaging of heterogeneous reservoirs for fluid flow simulations

Dominiqu Guerillot, Jean-Marc Chautru, Daniel Rahon

Proceedings Volume 2301, Mathematical Methods in Geophysical Imaging II; (1994) https://doi.org/10.1117/12.187496
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Problems of great economical interest as improving recovery rate of hydrocarbon reservoirs, optimizing gas storage fields or controlling underground pollution, require a very detailed knowledge of porous media, and, in particular, of the spatial variations of their hydraulic properties. To describe the hydrocarbon reservoirs, geological models using statistical concepts are used more and more. They bring a new horizon for reservoir engineering studies. This article discusses some of the questions raised by the introduction of these geological models, and a methodology is proposed to account for the heterogeneities in the reservoir production. A link between the detailed reservoir images generated by the probabilistic geological models, and the flow simulators is established through the selection of these images, and the averaging of the petrophysical data. This approach is illustrated by an example using a specific software.

Citation Download Citation

Dominiqu Guerillot, Jean-Marc Chautru, and Daniel Rahon "Geostatistical imaging of heterogeneous reservoirs for fluid flow simulations", Proc. SPIE 2301, Mathematical Methods in Geophysical Imaging II, (23 September 1994); https://doi.org/10.1117/12.187496

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