1. Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization
- Author
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Satomi Suzuki, Guillaume Caumon, and Jef Caers
- Subjects
Structure (mathematical logic) ,Mathematical optimization ,Dynamic data ,Inverse ,Parameter space ,Computer Science Applications ,Interpretation (model theory) ,Set (abstract data type) ,Computational Mathematics ,Data assimilation ,Workflow ,Computational Theory and Mathematics ,Computers in Earth Sciences ,Mathematics - 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.
- Published
- 2008
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