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Application of the Variational-Mode Decomposition for Seismic Time–frequency Analysis
Variational mode decomposition (VMD) is a newly developed methodology for decomposition on adaptive and quasi-orthogonal signal and can decompose a seismic signal into a number of quasiorthogonal intrinsic mode functions (IMFs). Expand
Application of the empirical mode decomposition and wavelet transform to seismic reflection frequency attenuation analysis
Abstract Frequency attenuation analysis is a useful tool for direct hydrocarbon indication. Frequency attenuation gradient is more sensitive to the type of reservoir identification than otherExpand
Application of a Variational Mode Decomposition-Based Instantaneous Centroid Estimation Method to a Carbonate Reservoir in China
A novel hydrocarbon detection technique named the variational mode decomposition (VMD)-based instantaneous centroid method is proposed in this letter. Expand
Seismic facies analysis based on self-organizing map and empirical mode decomposition
Abstract Seismic facies analysis plays an important role in seismic interpretation and reservoir model building by offering an effective way to identify the changes in geofacies inter wells. TheExpand
Does mode mixing matter in EMD-based highlight volume methods for hydrocarbon detection? Experimental evidence
Abstract Empirical mode decomposition (EMD)-based spectral decomposition methods have been successfully used for hydrocarbon detection. However, mode mixing that occurs during the sifting process ofExpand
Seismic attenuation estimation using a complete ensemble empirical mode decomposition-based method
Abstract The frequency attenuation gradient method can provide important information for hydrocarbon detection. In this paper, a method using Complete Ensemble Empirical Mode Decomposition (CEEMD),Expand
Wavelet‐based cepstrum decomposition of seismic data and its application in hydrocarbon detection
How to use cepstrum analysis for reservoir characterization and hydrocarbon detection is an initial question of great interest to exploration seismologists. In this paper, wavelet-based cepstrumExpand