A Novel Preprocessing Method Based on Variational Mode Decomposition for Reservoir Characterization Using Support Vector Regression

This article proposes a variational mode decomposition (VMD)-based preprocessing scheme to regularize a target porosity signal to improve its prediction from seismic attributes. A workflow consisting of preprocessing, prediction, and postprocessing stages is designed to implement the proposed scheme on a real hydrocarbon field dataset. In the preprocessing stage, the original porosity signal is decomposed into multiple intrinsic mode functions...