ISSN 1004-4140
CN 11-3017/P
WANG X A, ZHANG J H, XIA L J, et al. Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method[J]. CT Theory and Applications, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120. (in Chinese).
Citation: WANG X A, ZHANG J H, XIA L J, et al. Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method[J]. CT Theory and Applications, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120. (in Chinese).

Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method

  • The strata with large impedance differences are presented as strong amplitude seismic events on the seismic profile, which obscure useful information of nearby reservoirs and need interpretive target processing to remove the strong shielding. Therefore, this study proposes a multi-channel matching pursuit algorithm based on adaptive weight to remove strong shielding. Moreover, to address the problem of poor matching accuracy and spatial continuity of normal multi-channel matching pursuit at area where strong tectonic changes occur, a multi-channel matching pursuit de-strong shielding method based on adaptive weights is proposed. First, we used the layer structure information to flatten the strong reflection layer locally to weaken the influence of stratigraphic structure changes on the extraction of the strong reflection layer. Subsequently, we introduced a correlation coefficient between adjacent seismic traces and the central trace as the weight of multi trace averaging, which improved the stability and lateral continuity of the matching results. The result analysis of model processing tests and practical seismic data application shows that the proposed method can effectively strip the strong reflections and highlight the effective reservoir information; the well seismic match degree is significantly improved with higher matching accuracy, better spatial continuity, and better striping effect than those of the conventional matching pursuit algorithm.
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