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Journal Articles Computational Geosciences Year : 2008

Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization

Abstract

This paper proposes a novel history-matching method where reservoir structure is inverted from dynamic fluid flow response. The proposed workflow consists of searching for models that match production history from a large set of prior structural model realizations. This prior set represents the reservoir structural uncertainty because of interpretation uncertainty on seismic sections. To make such a search effective, we introduce a parameter space defined with a “similarity distance” for accommodating this large set of realizations. The inverse solutions are found using a stochastic search method. Realistic reservoir examples are presented to prove the applicability of the proposed method.

Dates and versions

hal-04066553 , version 1 (12-04-2023)

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Satomi Suzuki, Guillaume Caumon, Jef Caers. Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization. Computational Geosciences, 2008, 12 (1), pp.105-119. ⟨10.1007/s10596-007-9063-9⟩. ⟨hal-04066553⟩
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