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.
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Suzuki, S., Caumon, G. & Caers, J. Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization. Comput Geosci 12, 105–119 (2008). https://doi.org/10.1007/s10596-007-9063-9
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DOI: https://doi.org/10.1007/s10596-007-9063-9