{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11493659","patent":{"patent_number":"US-11493659","title":"Methods of analyzing cement integrity in annuli of a multiple-cased well using machine learning","assignee":null,"inventors":[],"filing_date":"2018-10-25T00:00:00.000Z","publication_date":"2022-11-08T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N"],"num_claims":25,"abstract":"A sonic tool is activated in a well having multiple casings and annuli surrounding the casing. Detected data is preprocessed using slowness time coherence (STC) processing to obtain STC data. The STC data is provided to a machine learning module which has been trained on labeled STC data. The machine learning module provides an answer product regarding the states of the borehole annuli which may be used to make decision regarding remedial action with respect to the borehole casings. The machine learning module may implement a convolutional neural network (CNN), a support vector machine (SVM), or an auto-encoder."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Methods of analyzing cement integrity in annuli of a multiple-cased well using machine learning","description":"A sonic tool is activated in a well having multiple casings and annuli surrounding the casing. Detected data is preprocessed using slowness time coherence (STC) processing to obtain STC data. The STC ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11493659","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-11493659","citation_suggestion":"Patentable. \"Methods of analyzing cement integrity in annuli of a multiple-cased well using machine learning\" (US-11493659). https://patentable.app/patents/US-11493659","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11493659","json":"https://patentable.app/api/llm-context/US-11493659","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T21:25:23.487Z"}