SEISMIC FAULT INTERPRETATION BY USING A MULTI-SCALE COHERENCE ATTRIBUTE

One of the key works for seismic interpretation is to characterize seismic geological structures, such as fluvial channels and faults. The coherence attribute is an effective tool for characterizing faults. However, extracting accurate coherence attributes between adjacent seismic traces is difficult due to the non-stationary, non-Gaussian, wide-band properties of field data. To overcome this issue, we propose a multi-scale coherence (MSC) attribute workflow. We first introduce the multi-channel variational mode decomposition (MVMD) to decompose seismic data into band-limited intrinsic mode functions (IMFs) with different dominant frequencies. Then, we adopt the C3 algorithm to extract coherence attributes at different scales by using decomposed IMFs. Finally, we adopt the red-green-blue (RGB) blending technique to obtain MSC attribute for describing faults. At last, 3D post-stack field data is adopted to demonstrate the effectiveness of the proposed workflow.