المؤلفون: Omar Alfarisi (11667526), Aikifa Raza (11667544), Djamel Ouzzane (11794289), Mohamed Sassi (11667563), Hongtao Zhang (11667560), Hongxia Li (11794290), Khalil Ibrahim (11794293), Hamed Alhashmi (11794294), Hamdan Alhammadi (11794295), TieJun Zhang (11667564)

مصطلحات موضوعية: Engineering Profession, Engineered Materials, Dielectrics and Plasmas, Computing and Processing, Geoscience, machine learning-based, computer vision-based framework, MRI, Micro CT image, 3D image segmentation, morphology types, 3D printed objects, permeability properties, 3D Geometry, fluid flow characteristics, geoscience data analytics, semantic segmentation, Representative elementary volume (REV), carbonate rock, Heterogeneous porous media, computation efficiency, morphology decoder, pore throat network, pore throat size, grain size, grain configuration, intergranular, intragranular, Bioclasts, grain size segmentation

Relation: https://figshare.com/articles/preprint/Morphology_Decoder_to_Predict_Heterogeneous_Rock_Permeability_with_Machine_Learning_Guided_3D_Vision/17126567

الاتاحة: https://doi.org/10.36227/techrxiv.17126567.v1