Non-parametric identification of geological models

Abstract : Many problems to be solved in geophysical processing can be expressed in terms of identiication of spatial geological models : given a function F applied to a geological model G, producing a result R, the problem is to find G such that F(G) = 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.
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Marc Schoenauer, Andreas Ehinger, Bertrand Braunschweig. Non-parametric identification of geological models. IEEE Congress on Evolutionary Computation, IEEE, May 1998, Anchorage, United States. pp.136-141, ⟨10.1109/ICEC.1998.699490 ⟩. ⟨hal-01225301⟩

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