Local adaptive parameterization for the history matching of 3D seismic data |
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| Authors: | Sebastien Da Veiga Veronique Gervais |
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| Institution: | (1) Institut Français du Pétrole, 1 et 4, avenue de Bois-Préau, 92852 Rueil-Malmaison Cedex, France |
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| Abstract: | Matching seismic data in assisted history matching processes can be a challenging task. One main idea is to bring flexibility
in the choice of the parameters to be perturbed, focusing on the information provided by seismic data. Local parameterization
techniques such as pilot-point or gradual deformation methods can be introduced, considering their high adaptability. However,
the choice of the spatial supports associated to the perturbed parameters is crucial to successfully reduce the seismic mismatch.
The information related to seismic data is sometimes considered to initialize such local methods. Recent attempts to define
the regions adaptively have been proposed, focusing on the mismatch between simulated and reference seismic data. However,
the regions are defined manually for each optimization process. Therefore, we propose to drive the definition of the parameter
support by performing an automatic definition of the regions to be perturbed from the residual maps related to the 3D seismic
data. Two methods are developed in this paper. The first one consists in clustering the residual map with classification algorithms.
The second method proposes to drive the generation of pilot point locations in an adaptive way. Residual maps, after proper
normalization, are considered as probability density functions of the pilot point locations. Both procedures lead to a complete
adaptive and highly flexible perturbation technique for 3D seismic matching. A synthetic study based on the PUNQ test case
is introduced to illustrate the potential of these adaptive strategies. |
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