A Genetic Algorithm For Constrained Seismic Horizon Correlation
نویسندگان
چکیده
A new approach towards automating the interpretation of geological structures like horizons or faults in reflection seismic data images is presented. Although automatic horizon tracking across faults to thereby determine geologically valid correlations is an important and time consuming task, it has still not been solved satisfactorily. The reason for this is the difficulty involved in locating non-ambiguous local correlation features due to the small amount of local information contained in seismic images. The method described in this paper provides an enhancement against a solely local feature based analysis by imposing additional geological and geometrical constraints to find a geologically valid solution. We model this process as an activity of searching for an optimum combination of the available knowledge by introducing a genetic algorithm. The application of the method to typical seismic data images resulted in the successful matching of all major horizons across several normal faults.
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