{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11989829","patent":{"patent_number":"US-11989829","title":"Generating geological facies models with fidelity to the diversity and statistics of training images using improved generative adversarial networks","assignee":null,"inventors":[],"filing_date":"2020-09-14T00:00:00.000Z","publication_date":"2024-05-21T00:00:00.000Z","cpc_codes":["G06T","G06T","G06N","G06N","G06N","G06N","G06N","G06N","G06T","G06T"],"num_claims":20,"abstract":"Neural network systems and related machine learning methods for geological modeling are provided that employ an improved generative adversarial network including a generator neural network and a discriminator neural network. The generator neural network is trained to map a combination of a noise vector and a category code vector as input to a simulated image of geological facies. The discriminator neural network is trained to map at least one image of geological facies provided as input to corresponding probability that the at least one image of geological facies provided as input is a training image of geological facies or a simulated image of geological facies produced by the generator neural network."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Generating geological facies models with fidelity to the diversity and statistics of training images using improved generative adversarial networks","description":"Neural network systems and related machine learning methods for geological modeling are provided that employ an improved generative adversarial network including a generator neural network and a discr","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11989829","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-11989829","citation_suggestion":"Patentable. \"Generating geological facies models with fidelity to the diversity and statistics of training images using improved generative adversarial networks\" (US-11989829). https://patentable.app/patents/US-11989829","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11989829","json":"https://patentable.app/api/llm-context/US-11989829","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:04:05.490Z"}