Summary Salt body extraction from seismic is currently a slow and tedious process, mainly based on manual interpretation. To speed up salt body extraction from seismic, and better assess the quality of the extracted salt bodies, an automated process is needed. In this paper, we present a solution for automated salt body extraction from seismic. The solution is based on a level set algorithm, used in combination with seismic attributes that discriminate between salt and sediments, and highlight top and base salt reflections and terminations of sediments against salt. In an automated process, steps to obtain the gross volume of salt are combined with local adjustments to place the salt boundary at the appropriate amplitude peak / trough. The process also includes a local stopping criterion based on a salt boundary confidence measure. The ability to separate completed salt boundary parts from uncertain regions where the salt boundary has not been identified enables the interpreter to focus on the parts where manual interpretation is required. Explicit constraints, including manual interpretations, are also honoured by the algorithm. The methodology has been tested on a multi-client seismic data set from the Gulf of Mexico.


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