A novel workflow integrating machine learning-guided characterization of carbonate reservoirs using matching pursuit as an approach for post-stack inversion
Carbonate reservoir's complex pore system and high heterogeneity have led to the need for new specialized studies to improve reservoir characterization. However, this goal is often restricted by a lack of data. In this study, a novel procedure applied to a data-constrained petroleum field in the Gulf of Mexico is prese...