Enhanced Discrimination of Seismic Geological Channels Based on Multi-Trace Variational Mode Decomposition

Abstract

The spectral decomposition is a valuable tool for improving the resolution of seismic interpretation, and thus can improve the accuracy of the subtle geo-features (thin and narrow channels, thin reservoirs, etc.). Variational mode decomposition (VMD) is an adaptive signal decomposition algorithm that non-recursively decomposes multicomponent signals into several band-limited intrinsic mode functions, which is competitive in enhancing time-frequency resolution. However, discontinuity is normally caused by the trace-by-trace process, making the 3D seismic interpretation difficult. To address this issue, we present a novel seismic geological channel detection method for 3D seismic dataset based on multi-trace variational mode decomposition (MTVMD). The proposed method decomposes the broadband seismic data into several intrinsic mode functions and then computes seismic attributes from each component for geological feature analysis. Further tested by field seismic case, the proposed method demonstrates strength in depicting the detailed edges and sedimentary signatures of paleochannels. Overall, the proposed method provides an alternative approach to identifying seismic channels, especially for the detailed portrayals of subtle geo-features in low-quality seismic data.

Seismic Signal Analysis Based on Variational Mode Decomposition and Hilbert Transform for Ground Intrusion Activity Classification

“…Compared with EMD, the EEMD method and variational mode decomposition (VMD) method constructs the Wiener filter according to the center frequency of the component and takes the narrow-band property of the component into full consideration [ 31 ], so the frequency band of filtering is more concentrated, and the signal can be decomposed into components with coefficient characteristics adaptively [ 32 ]. With a solid theoretical foundation, the VMD method has been successfully applied in many fields such as seismic data analysis [ 33 , 34 , 35 ], Time-Varying system identification [ 36 ], structural health monitoring [ 37 , 38 ], Micro-Motion signal processing [ 39 ], fault detection and classification [ 40 ].…”