Smooth multi-scale parameterization for integration of seismic and production data using second-generation wavelet transforms.

Théophile Gentilhomme and Trond Mannseth and Dean S. Oliver and Rémi Moyen and Guillaume Caumon. ( 2012 )
in: Proc. 32nd Gocad Meeting, Nancy

Abstract

In this paper, we use the second-generation wavelet transform as multi-scale smooth parameterization technique for history matching of seismic derived models using an ensemble based optimization method (batch-enRML). The construction of the second generation wavelets is presented and their advantages compared to first generation wavelets are discussed. Then, these wavelets are applied to a realistic 3D faulted reservoir model. Their ability to represent correctly this model with a large compression ratio is demonstrated. Finally, using the SGW re-parameterization, we set the basis for a new adaptive multi-scale inversion method, which aims at limiting the increase of the mismatch to seismic data of the seismicderived realizations by selecting relevant parameters. Efficiency of the method is discussed through a 2D synthetic example.

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BibTeX Reference

@INPROCEEDINGS{GentilhommeGM2012,
    author = { Gentilhomme, Théophile and Mannseth, Trond and Oliver, Dean S. and Moyen, Rémi and Caumon, Guillaume },
     title = { Smooth multi-scale parameterization for integration of seismic and production data using second-generation wavelet transforms. },
 booktitle = { Proc. 32nd Gocad Meeting, Nancy },
      year = { 2012 },
  abstract = { In this paper, we use the second-generation wavelet transform as multi-scale smooth parameterization technique for history matching of seismic derived models using an ensemble based optimization method (batch-enRML). The construction of the second generation wavelets is presented and their advantages compared to first generation wavelets are discussed. Then, these wavelets are applied to a realistic 3D faulted reservoir model. Their ability to represent correctly this model with a large compression ratio is demonstrated. Finally, using the SGW re-parameterization, we set the basis for a new adaptive multi-scale inversion method, which aims at limiting the increase of the mismatch to seismic data of the seismicderived realizations by selecting relevant parameters. Efficiency of the method is discussed through a 2D synthetic example. }
}