Fault identification based on a discontinuous anisotropic diffusion filter
WANG Jing1, ZHANG Junhua1, FENG Deyong2, LI Hongmei2
1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China; 2. Geophysical Research Institute, Shengli Oilfield Branch Company, SINOPEC, Dongying, Shandong 257022, China
Abstract：It is of great importance for subsequent seismic interpretation to improve the signal-to-noise ratio of seismic data while preserving the boundary information of faults and other geological bodies.Based on previous studies,we proposed an anisotropic diffusion filter based on discontinuity information.After analyzing the principle of anisotropic diffusion filtering and discussing the relationship between eigenvalues of the structural tensor and local structural features of 3D seismic images,we redesigned the eigenvalues of the diffusion tensor using fault confidence parameters,which can control the filtering intensity to seismic data in different directions.The value of fault confidence is close to zero where there are flat continuous reflectors and the intensity of diffusivity is strong.On the contrary,the diffusion is very weak within presumptive fault zones.Applications to synthetic model and real data have proved that this method can effectively suppress noises,preserve faults and enhance the continuity of reflectors.They are basic data for seismic interpretation.
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