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

Satomi Suzuki and Guillaume Caumon and Jef K. Caers. ( 2008 )
in: Computational Geosciences, 12:1 (105--119)

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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BibTeX Reference

@ARTICLE{,
    author = { Suzuki, Satomi and Caumon, Guillaume and Caers, Jef K. },
     title = { Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization },
     month = { "mar" },
   journal = { Computational Geosciences },
    volume = { 12 },
    number = { 1 },
   chapter = { 0 },
      year = { 2008 },
     pages = { 105--119 },
       doi = { 10.1007/s10596-007-9063-9 },
  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. }
}