Hao-kun Du

TL;DR: Application of the VMD on field data demonstrates that instantaneous spectrum after VMD targets the thickness variation in the coal seam more sensitively than the conventional tools and highlights the fine details that might escape unnoticed.

TL;DR: Wang et al. as discussed by the authors proposed an empirical mode decomposition (EMD) method for waveform classification based on SOM, which can improve resolution enhancement and noise reduction in seismic facies analysis.

TL;DR: In this article, a new method combining the empirical mode decomposition (EMD) and the continuous wavelet transform (WFT) is proposed as a high-precision frequency attenuation analysis and an improved time-frequency analysis methods.

TL;DR: Comparisons between the VMD-based instantaneous centroid method and the short-time Fourier transform, and continuous wavelet transform and prestack wave impedance inversion technology indicate that the proposed method is more convenient and can effectively target gas reservoirs.

TL;DR: In this article, the authors address the issue of how the mode mixing influences the EMD-based methods for hydrocarbon detection by introducing mode-mixing elimination methods, specifically ensemble EMD (EEMD) and complete ensemble EEMD (CEEMD)-based highlight volumes, as feasible tools that can identify the peak amplitude above average volume and the peak frequency volume.