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7

DICTA
2003

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Automatic Fault Detection for 3D Seismic Data

13 years 5 months ago

Automatic Fault Detection for 3D Seismic Data

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A novel approach to the automatic detection of fault surface images in 3D seismic datasets is presented. Based on the premise that seismic faulting introduces discontinuities into the rock layering (that is, the horizons), a coherency measure is used to detect points of significant horizon discontinuity. A highest confidence first (HCF) merging strategy is then combined with a flexible surface model to estimate the 3D fault surfaces iteratively.

David Gibson, Michael Spann, Jonathan Turner

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2003
Where	DICTA
Authors	David Gibson, Michael Spann, Jonathan Turner

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