Abstract：Seismic similarity provides an effective technical means for faults interpretation. However, seismic similarity in complex fault zone faces two major problems. First, relationships between primary and secondary faults are ambiguous and fault grades and scales cannot be distinguished due to resolution limit. Second, dip strata create serious background noise to seismic similarity calculation. Therefore, we propose in this paper a new approach for dip-steering similarity. We use multi-resolution and multi-scale wavelet analysis for seismic data decomposition and reconstruction. First we divide raw seismic data into different narrowband, and then calculate dip constraint similarity on this basis to solve complex faults interpretation problems. The approach is applied to a 3D seismic in Liaodong Bay, which is characterized by complex faults and fractures with strike-slip stress background. The results show that the proposed approach can effectively suppress the background noise caused by dip formations, and provide a powerful tool for complex fault interpretation.
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