Identification and Characterization of Geologic Features in Carbonate Reservoir

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Identification and Characterization of Geologic Features in Carbonate Reservoir

This abstract first appeared for US patent application 20250129704 titled 'Identification and Characterization of Geologic Features in Carbonate Reservoir

Original Abstract Submitted

example computer-implemented methods, media, and systems for identification and characterization of geologic features in carbonate reservoir are disclosed. one example computer-implemented method includes obtaining multiple core sample images of a carbonate reservoir. the multiple core sample images are labeled using multiple feature classes, where the multiple feature classes include at least one of a vug or fracture. multiple image patches are generated using the labeled plurality of core sample images. a machine learning model is applied to the multiple image patches to identify one or more vugs or fractures in the multiple core sample images. at least one of porosity or permeability of the carbonate reservoir is predicted using the identified one or more vugs or fractures in the multiple core sample images.