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Zonal Cooperative Inversion of Data Sets with Partially Co-located Model Areas
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Near Surface 2010 - 16th EAGE European Meeting of Environmental and Engineering Geophysics, Sep 2010, cp-164-00006
- ISBN: 978-90-73781-88-7
Abstract
We extend the zonal cooperative inversion (ZCI) approach based on fuzzy c-means cluster analysis and conventional single-input data set inversion algorithms for the cooperative inversion of data sets with partially co-located model areas. This is done by considering recent modifications made to the fuzzy c-means cluster algorithm. We apply the extended ZCI to cooperatively invert two crosshole tomographic traveltime data sets with partly co-located model areas. Additionally, we demonstrate how additional a priori information can be incorporated in the ZCI methodology. The ZCI results in a single geophysical model outlining the major subsurface zonation. Available ground-truth data support our zonal geophysical model and, thus, prove the applicability of the proposed inversion approach.