{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11971515","patent":{"patent_number":"US-11971515","title":"Deep learning model with dilation module for fault characterization","assignee":null,"inventors":[],"filing_date":"2021-06-25T00:00:00.000Z","publication_date":"2024-04-30T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"A system can receive seismic data that can correlate to a subterranean formation. The system can derive a set of seismic attributes from the seismic data. The seismic attributes can include discontinuity-along-dip. The system can determine parameterized results by analyzing the seismic data and the seismic attributes using a deep learning neural network. The deep learning neural network can include a dilation module. The system can determine one or more fault probabilities of the subterranean formation using the parameterized results. The system can output the fault probabilities for use in a hydrocarbon exploration operation."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Deep learning model with dilation module for fault characterization","description":"A system can receive seismic data that can correlate to a subterranean formation. The system can derive a set of seismic attributes from the seismic data. The seismic attributes can include discontinu","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11971515","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-11971515","citation_suggestion":"Patentable. \"Deep learning model with dilation module for fault characterization\" (US-11971515). https://patentable.app/patents/US-11971515","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11971515","json":"https://patentable.app/api/llm-context/US-11971515","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T13:42:38.506Z"}