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Optimum Plane Method for Automatic Fault Detection
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 81st EAGE Conference and Exhibition 2019, Jun 2019, Volume 2019, p.1 - 5
Abstract
Fault interpretation prior to seismic analysis is essential to constraint the horizon interpretation. This process, if undertaken manually, is tedious and time consuming. Hence, many authors created attributes based on coherency, curvature or spectral decomposition to detect faults and extract them from the seismic. Yet, even the most recent methods based on these attributes and machine learning does not yield accomplished results yet. In this work, we present a novel method to automatically detect and extract faults from a seismic volume through an optimized processing. Our workflow is based on the Fault Plane attribute obtained from the Variance, the creation of a Thinning volume (representing the skeleton of the deformation) and, finally, the extraction and creation of 3D fault patches. Our test on a 650 km2 block from the Carnarvon basin shows that the method allows intercepting most of the seismic faults, with coherent positions, and fairly capturing the structural complexities of fault interactions (e.g. relays, polygonal faults). Combined with interactive editing, we believe that our method can be inserted in a very fast and efficient workflow, where the interpreter can control the detection parameters and refine locally the fault picking.