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A fuzzy linguistic-based software tool for seismic image interpretation

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4 Author(s)
L. Valet ; LISTIC Lab., Annecy, France ; G. Mauris ; P. Bolon ; N. Keskes

The contribution of this paper concerns the well-known problem of fuzzy system parameter tuning. At this aim, a software tool based on a fuzzy linguistic approach and applied to an attribute fusion system devoted to three-dimensional (3-D) seismic image analysis is proposed. The fusion is based on interpreters' knowledge and a graphic user interface has been developed in order to have a cooperative behavior between the experts and the system. It provides an original way to adjust, on a two-dimensional part of the block, some of the fusion parameters which are understandable and close to the interpreters' language. Then, in order to control the detection propagation to the whole 3-D seismic block, an automatic parameter adjustment is realized based on a quantitative performance evaluation of the detection. The results obtained for the detection as well as for the handling of the system by interpreters' show the interest of the proposed method.

Published in:

IEEE Transactions on Instrumentation and Measurement  (Volume:52 ,  Issue: 3 )