Integration of deep-learning fault segmentation, horizontal transverse isotropy analysis, and ambient microseismic methods to enhance fracture prediction in the Crisol Anticline, Colombia
Roderick Perez Altamar,
Menno Wiebe,
Andrea Pablos Corredor
Abstract:This study aimed to optimize hydrocarbon production from the naturally fractured reservoirs in the VMM-1 gas field by identifying and interpreting the fault and fracture systems. To achieve this, deep learning fault segmentation was integrated with HTI analysis and ambient microseismic recording. The fault pattern was studied using deep learning fault segmentation, while HTI analysis highlighted the magnitude and distribution of fractures. Ambient microseismic recording was used to identify active faults and f… Show more
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