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Proceedings Paper

Geostatistical imaging of heterogeneous reservoirs for fluid flow simulations
Author(s): Dominiqu Guerillot; Jean-Marc Chautru; Daniel Rahon
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Paper 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.

Paper Details

Date Published: 23 September 1994
PDF: 12 pages
Proc. SPIE 2301, Mathematical Methods in Geophysical Imaging II, (23 September 1994); doi: 10.1117/12.187496
Show Author Affiliations
Dominiqu Guerillot, Institut Francais du Petrole (France)
Jean-Marc Chautru, Beicip-Franlab (France)
Daniel Rahon, Institut Francais du Petrole (France)

Published in SPIE Proceedings Vol. 2301:
Mathematical Methods in Geophysical Imaging II
Siamak Hassanzadeh, Editor(s)

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