Seismic interpretation of salt geobodies using texture attributes.
in: 2017 RING Meeting, pages 141--154, ASGA
Abstract
Salt has always been challenging and time-consuming in seismic interpretation. Over the two last decades, more and more works have focused on the (semi-)automatic interpretation of salt bodies. While such methods ensure a significant time reduction, they are, however, not perfect and interpreters have to pay special attention to the quality control of the solution. In this paper, we propose first a brief review of the different mechanisms that are implied in salt tectonics, with a focus on the formation of the different salt structures. We then present a set of commonly used seismic attributes and the different methods used nowadays in automatic salt extraction workflows. We finally discuss a way to incorporate uncertainty assessment into salt interpretation by computing a salt presence probability map and generating stochastic realizations of the salt boundaries. Introduction
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BibTeX Reference
@INPROCEEDINGS{Clausolles2017, author = { Clausolles, Nicolas and Caumon, Guillaume and Collon, Pauline }, title = { Seismic interpretation of salt geobodies using texture attributes. }, booktitle = { 2017 RING Meeting }, year = { 2017 }, pages = { 141--154 }, publisher = { ASGA }, abstract = { Salt has always been challenging and time-consuming in seismic interpretation. Over the two last decades, more and more works have focused on the (semi-)automatic interpretation of salt bodies. While such methods ensure a significant time reduction, they are, however, not perfect and interpreters have to pay special attention to the quality control of the solution. In this paper, we propose first a brief review of the different mechanisms that are implied in salt tectonics, with a focus on the formation of the different salt structures. We then present a set of commonly used seismic attributes and the different methods used nowadays in automatic salt extraction workflows. We finally discuss a way to incorporate uncertainty assessment into salt interpretation by computing a salt presence probability map and generating stochastic realizations of the salt boundaries. Introduction } }