Smooth Multi-scale Parameterization for Integration of Seismic and Production Data Using Second-generation Wavelets - Université de Lorraine Access content directly
Conference Papers Year : 2012

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

Théophile Gentilhomme
  • Function : Author
Trond Mannseth
  • Function : Author
Dean Oliver
  • Function : Author
Rémi Moyen
  • Function : Author

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.
No file

Dates and versions

hal-04068661 , version 1 (14-04-2023)

Identifiers

Cite

Théophile Gentilhomme, Trond Mannseth, Dean Oliver, Guillaume Caumon, Rémi Moyen. Smooth Multi-scale Parameterization for Integration of Seismic and Production Data Using Second-generation Wavelets. ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery, Sep 2012, Biarritz, France. ⟨10.3997/2214-4609.20143175⟩. ⟨hal-04068661⟩
5 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More