A new workflow for automated salt interpretation on seismic data has been developed and tested. In Part I of the workflow, the parts of the salt boundary that are well defined from seismic are extracted by a DNA-inspired search algorithm, and expanded into signal-consistent surface patches by surface growing. In Part II of the workflow, which is the focus of this paper, the parts of the boundary that are poorly defined from seismic are identified by smooth surface wrapping of a seismic volume attribute. A key step in the surface wrapping process is to classify the seismic data into “most likely sediment”, “most likely salt” and “uncertain.” The smooth surface wrapping approach honors both the well-defined boundaries and the classification into salt or sediments. In the uncertain regions, the algorithm produces a boundary that smoothly connects the well-defined boundary segments. The workflow was tested on seismic reflection data from the Gulf of Mexico and gives results comparable to those of manual interpretation, but in considerably shorter time.

Presentation Date: Wednesday, September 27, 2017

Start Time: 11:25 AM

Location: 350D

Presentation Type: ORAL

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