Ensemble Deep Learning-Based Porosity Inversion From Seismic Attributes
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DOI: 10.1109/access.2023.3239688
Abstract: Underground porosity is important in many earth sciences and engineering fields, including hydrocarbon reservoir characterization and geothermal energy production. Popular methods largely rely on the analysis of lithological core data, well logs, and seismic inversion… read more here.
Keywords: inversion; seismic attributes; deep learning; model ... See more keywords