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A Texture-based Approach for Automated Detection of Listric Faults
amirshafiq@gatech.edu haibin.di@ece.gatech.edu
alregib@gatech.edu
Muhammad Amir Shafiq, Haibin Di, and Ghassan AlRegibCenter for Energy and Geo Processing (CeGP),
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
3D Gradient of Texture
(GoT)
Seismic
VolumeThresholding Post-Processing Fault
Delineation
V G B LF
Seismic Inline Section 70 GoT Map Thresholding Post-Processing Delineation
Introduction
Seismic Acquisition
Listric Fault
Stratton Field in Texas
Gradient of Texture
Cubes Orientations
Cross Section of Cubes and Seismic Sections
Experimental Results
Proposed Workflow for Listric Fault Delineation
Seis
mic
Inlin
e Se
ctio
n 3
0
Seis
mic
Inlin
e Se
ctio
n 3
0
Seis
mic
Inlin
e Se
ctio
n 3
0
Seis
mic
Inlin
e Se
ctio
n 3
0
The Detected Listric Fault Plane
3D View Depicting Listric Fault
Conclusions
Method
Acknowledgements
Contact Information
References
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