Abstract
Coherence analysis is a powerful tool in seismic interpretation for imaging geological discontinuities such as faults and fractures. However, subtle faults or fractures of one stratum are difficult to be distinguished on coherence sections (time slices or profiles) due to interferences from adjacent strata, especially these with strong reflectivity. In this paper, we propose a coherence enhancement method which applies local histogram specification (LHS) techniques to enhance subtle faults or fractures in the coherence cubes. Unlike the traditional histogram specification (HS) algorithm, our method processes 3D coherence data without discretization. This method partitions a coherence cube into many sub-blocks and self-adaptively specifies the target distribution in each block based on the whole distribution of the coherence cube. Furthermore, the neighboring blocks are partially overlapped to reduce the edge effect. Applications to real datasets show that the new method enhances the details of subtle faults and fractures noticeably.
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This work was sponsored by Important National Science and Technology Specific Projects of China (Grant No. 2008ZX05023-005-011 and No. 2008ZX05040-003) and the National 973 Program of China (Grant No. 2006CB202208).
Wang Ji received his Masters (2003) and PhD (2007) degree in Northwestern Polytechnical University. From 2008 to 2009, he joined the Department of Automation at Tsinghua University as a postdoctoral scholar. Currently he works in the Xi’an Branch of China Coal Research Institute. His research focuses on seismic signal processing.
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Wang, J., Lu, WK. Coherence cube enhancement based on local histogram specification. Appl. Geophys. 7, 249–256 (2010). https://doi.org/10.1007/s11770-010-0247-4
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DOI: https://doi.org/10.1007/s11770-010-0247-4