Fault identification based on dip-oriented gradient-energy-entropy coherence estimation
PENG Da1,2, XIAO Fusen1, RAN Qi1, WANG Yuexiang1, CHEN Kang1
1. Research Institute of Exploration and Development, Southwest Oil & Gas Field Company, PetroChina, Chengdu, Sichuan 610041, China; 2. Post-Doctoral Mobile Station, Southwest Petroleum University, Chengdu, Sichuan 610500, China
Abstract：Locating small-scale strata discontinuities is one of the most challenging tasks,and these subtle geological features are significant since they are often associated with subsurface petroleum traps.Subtle faults,fractures,unconformities,reef textures,channel boundaries,thin-bed boundaries,and other structural and stratigraphic discontinuities have subtle geologic edges which may provide lateral variation on seismic data.Among different available geophysical techniques,3-D seismic discontinuity attributes are effective tools for highlighting discontinuities on seismic data.Conventional seismic discontinuity attributes are sensitive to noise and are not appropriate for detecting small-scale discontinuities.Thus,we propose a dip-oriented gradient-energy-entropy (DOGEE) coherence to detect subtle faults and structural features.The DOGEE coherence estimation method uses gradient structure tensor (GST) algorithm to obtain local dip information and construct a gradient correlation matrix to calculate gradient-energy-entropy.The proposed DOGEE coherence is robust to noise,and also improves the clarity of fault edges.It is effective for small-scale discontinuity characterization and interpretation.
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