{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11954417","patent":{"patent_number":"US-11954417","title":"Method for predicting permeability of multi-mineral phase digital core based on deep learning","assignee":null,"inventors":[],"filing_date":"2023-11-08T00:00:00.000Z","publication_date":"2024-04-09T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F"],"num_claims":8,"abstract":"Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method for predicting permeability of multi-mineral phase digital core based on deep learning","description":"Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore struc","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11954417","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11954417","citation_suggestion":"Patentable. \"Method for predicting permeability of multi-mineral phase digital core based on deep learning\" (US-11954417). https://patentable.app/patents/US-11954417","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11954417","json":"https://patentable.app/api/llm-context/US-11954417","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:22:47.845Z"}