Dynamic data integration for structural modeling: model screening
approach using a distance-based model parameterization
Authors
Satomi Suzuki and Guillaume Caumon and Jef Caers
Journal/Article/Conference
Computational Geosciences
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.
BibTeX Reference
@article{Suzuki08,
| author
|
=
{Satomi Suzuki and Guillaume Caumon and Jef Caers},
|
| title
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=
{Dynamic data integration for structural modeling: model screening
|
| journal
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=
{Computational Geosciences},
|
| volume
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=
{12},
|
| number
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=
{1},
|
| pages
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=
{105--119},
|
| year
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=
{2008},
|
| abstract
|
=
{
|
}
