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

@inproceedings{GentilhommeGM2012,
 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. },
 author = { Gentilhomme, Théophile AND Mannseth, Trond AND Oliver, Dean S. AND Moyen, Rémi AND Caumon, Guillaume },
 booktitle = { Proc. 32nd Gocad Meeting, Nancy },
 title = { Smooth multi-scale parameterization for integration of seismic and production data using second-generation wavelet transforms. },
 year = { 2012 }
}