A fuzzy linguistic-based software tool for seismic image interpretation

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.