Smooth Multi-scale Parameterization for Integration of Seismic and Production Data Using Second-generation Wavelets

@inproceedings{gentilhomme:hal-04068661,
 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 wavelet 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 seismic-derived realizations by selecting relevant parameters. Efficiency of the method is discussed through a 2D synthetic example.},
 address = {Biarritz, France},
 author = {Gentilhomme, Th{\'e}ophile and Mannseth, Trond and Oliver, Dean and Caumon, Guillaume and Moyen, R{\'e}mi},
 booktitle = {{ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery}},
 doi = {10.3997/2214-4609.20143175},
 hal_id = {hal-04068661},
 hal_version = {v1},
 month = {September},
 title = {{Smooth Multi-scale Parameterization for Integration of Seismic and Production Data Using Second-generation Wavelets}},
 url = {https://hal.univ-lorraine.fr/hal-04068661},
 year = {2012}
}