A staged genetic algorithm for tomographic inversion of seismic refraction data

Fabio Boschetti; Mike Dentith; Ron List

doi:10.1071/EG995331

ISSN: 0812-3985
E-ISSN: 1834-7533

A staged genetic algorithm for tomographic inversion of seismic refraction data
Authors Fabio Boschetti^a, Mike Dentith^a and Ron List^b
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^a Dept. of Geology and GeophysicsThe University of Western Australia Nedlands, , Perth, WA, 6907, Phone: ++6 9 380 1874, Fax: ++61 9 380 1037 ^b Dept of MathematicsThe University of Western Australia Nedlands, , Perth, WA, 6907
Publisher: Australian Society of Exploration Geophysicists
Source: Exploration Geophysics, Volume 26, Issue 2-3, Jun 1995, p. 331 - 335
DOI: https://doi.org/10.1071/EG995331
- Published online: 01 Jun 1995

Abstract

A genetic algorithm has been developed to tomographically construct the sub-surface velocity distribution using first-arrival seismic refraction data. The performance of the genetic algorithm is improved by the inclusion of a ‘zooming’ technique able to perform a staged subspace search in the higher dimensional solution space. This allows the complexity of the model defining the solution to be progressively increased during the inversion and results in an increase in the speed and accuracy with which a solution can be obtained.

The procedure has been tested with both synthetic and model data. The method proved able to correctly recover the geometry and velocity structure of a non-planar refractor and the overlying lower velocity layer without the need of any ‘a priori’ information.

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References

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Boschetti, F., M. Dentith, et al., 1995, A fractal-based algorithm for detecting first arrivals on seismic traces: Geophysics (submitted).
Boschetti, F., M. Dentith, et al., 1995, Genetic Algorithms incorporating a pseudo-subspace method., ICEC 95, Perth (submitted).
Boschetti, R, M. Dentith, et al., 1995, Inversion of seismic refraction data using Genetics Algorithms: Geophysics (submitted).
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Mathias, K., D. Whitley, et al., 1993, Staged hybrid genetic algorithm search for seismic data imaging, ICEC 1994.
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Article Type: Research Article

Keyword(s): Genetic Algorithms; Inversion; Ray tracing; Seismic tomography

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A staged genetic algorithm for tomographic inversion of seismic refraction data

Abstract

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