Non-parametric identification of geological models

被引:1
|
作者
Schoenauer, M [1 ]
Ehinger, A [1 ]
Braunschweig, B [1 ]
机构
[1] Ecole Polytech, CNRS, URA 756, CMAP, F-91128 Palaiseau, France
关键词
D O I
10.1109/ICEC.1998.699490
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many problems to be solved in geophysical processing can be expressed in terms of identification of spatial geological models : given a function phi applied to a geological model gamma, producing a result R, the problem is to find gamma* such that phi(gamma*) = R*, where R* is the expected result : a seismogram, a pressure curve, a seismic cross-section etc. The presented research deals with the joint use of evolutionary algorithms and Voronoi diagrams to address some non-parametric instances of identification problems in geophysics, i.e. without a priori hypothesis about the geometrical layout of possible solutions. In this paper, a first application in velocity determination for seismic imaging demonstrates the ability of this approach to identify both the geometry and the velocities of the underground from experimental seismograms.
引用
收藏
页码:136 / 141
页数:6
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