Stochastic simulation of impedances fitting seismic amplitudes and well data
Arben Shtuka and Jean-Laurent Mallet. ( 2001 )
in: 21st gOcad Meeting, ASGA
Abstract
The main objective of this paper is to present a new method of stochastic inversion of seismic amplitude. Existing methods are based on iterative algorithms such as simulated annealing, or simple accept/rejection principle. The convergence of these algorithms is not very well controlled and as consequence the CPU computing time remains important. In this paper we present a very simple approach which improve dramatically the convergence with the respect of all constraints. The main idea of proposed algorithm is to use an optimal ”Blending Based” simulator for generating a constrained random field of acoustic impedance.
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BibTeX Reference
@inproceedings{ShtukaRM2001, abstract = { The main objective of this paper is to present a new method of stochastic inversion of seismic amplitude. Existing methods are based on iterative algorithms such as simulated annealing, or simple accept/rejection principle. The convergence of these algorithms is not very well controlled and as consequence the CPU computing time remains important. In this paper we present a very simple approach which improve dramatically the convergence with the respect of all constraints. The main idea of proposed algorithm is to use an optimal ”Blending Based” simulator for generating a constrained random field of acoustic impedance. }, author = { Shtuka, Arben AND Mallet, Jean-Laurent }, booktitle = { 21st gOcad Meeting }, month = { "june" }, publisher = { ASGA }, title = { Stochastic simulation of impedances fitting seismic amplitudes and well data }, year = { 2001 } }