Geological Concept-Driven Intervention in Machine Learning for Foraminiferal Reservoir Property Modeling
Machine learning has increasingly been applied in geomodelling to extract spatial relationships from well and seismic data and to support reservoir characterization. This study evaluates a geology-guided machine-learning approach for porosity modeling in the DA Field, a foraminiferal carbonate gas reservoir in the Ma...