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Hybrid optimization for lithologic inversion and time-lapse monitoring using a binary formulation

Richard A. Krahenbuhl and Yaoguo Li
Hybrid optimization for lithologic inversion and time-lapse monitoring using a binary formulation
Geophysics (November 2009) 74 (6): I55-I65

Abstract

We have developed a hybrid optimization algorithm for binary inversion of geophysical data associated with lithologic inversion and time-lapse monitoring. The binary condition is designed to invert geophysical data for well-defined physical properties within discrete lithologic units, such as a salt body within a sedimentary host, or temporal changes in physical property associated with dynamic processes, such as the density and conductivity change in an oil and gas reservoir or groundwater aquifer. The solution of such inverse problems with discrete model values requires specialized optimization algorithms. To meet this need, we develop a hybrid optimization algorithm by combining a genetic algorithm with quenched simulated annealing. The former allows for easy incorporation of prior geologic information and rapid buildup of large-scale model features, whereas the latter guides genetic algorithm to faster evolution by rapidly adjusting the finer model features. In examining the performance of the hybrid algorithm, we note its superior performance. Our investigations of the algorithm's capability with a 3D gravity inversion for the SEG/EAGE salt model and a time-lapse gravity data set from an aquifer storage and recovery process reveal its benefits.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 74
Serial Issue: 6
Title: Hybrid optimization for lithologic inversion and time-lapse monitoring using a binary formulation
Affiliation: Colorado School of Mines, Department of Geophysics, Golden, CO, United States
Pages: I55-I65
Published: 200911
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 40
Accession Number: 2010-043990
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2018, American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201024
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