1887

Abstract

Summary

Reservoir modelling is playing a fundamental role in developing and producing hydrocarbon reserves, as the integration tool for static and/or dynamic data and concepts. Standard workflows are primarily built in a linear way: fault framework modelling, stratigraphic modelling, gridding, facies and petrophysical modelling, upscaling, flow simulation and history matching. In order to increase complexity in reservoir models to capture accurately the geological heterogeneity driving the flow and, consequently, to have a better predictability of our models, unstructured meshes have been considered. But geological data have their own specificities, making direct use of CAD algorithms often irrelevant: internal boundaries, strong vertical anisotropy, small angles… T hen, meshing algorithms tailor-made for Geosciences need to be devised. Particularly, this implies that especially designed property modelling algorithms are needed to cope with such unstructured meshes, if no mapping / upscaling is desired. Pushing forward our willing to reset geology as the integrative process might finally involve to invert the usual reservoir modelling workflow, by meshing after simulating sedimentary bodies. Therefore, we propose a new workflow by finding a synergy around genetic-like modelling, surface-based modelling and unstructured meshing.

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/content/papers/10.3997/2214-4609.201902229
2019-09-02
2024-04-26
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