1887

Abstract

Summary

We present a new cooperative inversion approach that allows for a combined inversion of independent physical parameters by exchanging structural information. The technique is based on an iterative cluster analysis step using a Fuzzy c-Mean technique (FCM). Cluster analysis aims at identifying groups of similar objects, and helps to discover distribution of patterns and interesting correlations in data sets. An occurring specific pattern of one parameter facilitates the development of coherent structure in the other using a reference model term in the least square solution associated to the linearized minimization of the cost function problem. In the presence of structures that can be seen by both methods, it leads to a better delineation of patterns. The technique is applied to the inversion of electrical resistivity and seismic refraction travel times. Two synthetic co-located data sets show how different structures are resolved with and without structural cooperative inversion. It is discussed how the quality of the inversion results is improved by the new approach.

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/content/papers/10.3997/2214-4609.20142075
2014-09-08
2024-04-20
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