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Cooperative Inversion Based on Fuzzy c-Means Cluster Analysis – Application to Field DataNormal access

Authors: H. Paasche, J. Tronicke and P. Dietrich
Event name: Near Surface 2007 - 13th EAGE European Meeting of Environmental and Engineering Geophysics
Session: Modeling and Inversion in Geophysics
Publication date: 03 September 2007
DOI: 10.3997/2214-4609.20146551
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1000.68Kb )
Price: € 20

In many near surface geophysical applications it is now common praxis to collect co-located disparate geophysical data sets. The advantage of such multi-method based exploration strategies lies in its potential to reduce ambiguities and uncertainties in data analysis and interpretation. To reconstruct the physical parameter distributions underlying geophysical data requires in many cases the application of tomographic reconstruction techniques. To improve the reliability of tomographically reconstructed physical parameter models, the information content of all co-located data sets should be considered during the model-generation process. Here, we apply a novel approach based on fuzzy c-means cluster analysis and conventional single-input data set inversion algorithms for the cooperative inversion of crosshole seismic P-wave and S-wave traveltimes. The approach results in a single zoned two-parameter model outlining the major subsurface units and provides additionally P-wave and S-wave velocity fields.

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