- 专利标题: Machine learning enhanced borehole sonic data interpretation
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申请号: US17618714申请日: 2020-06-13
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公开(公告)号: US12072462B2公开(公告)日: 2024-08-27
- 发明人: Lin Liang , Ting Lei
- 申请人: Schlumberger Technology Corporation
- 申请人地址: US TX Sugar Land
- 专利权人: SCHLUMBERGER TECHNOLOGY CORPORATION
- 当前专利权人: SCHLUMBERGER TECHNOLOGY CORPORATION
- 当前专利权人地址: US TX Sugar Land
- 代理商 Ashley Brown
- 国际申请: PCT/US2020/037645 2020.06.13
- 国际公布: WO2020/252419A 2020.12.17
- 进入国家日期: 2021-12-13
- 主分类号: G01V1/50
- IPC分类号: G01V1/50 ; G01V1/46 ; G06N3/08
摘要:
The subject disclosure relates to the interpretation of borehole sonic data using machine learning. In one example of a method in accordance with aspects of the instant disclosure, borehole sonic data is received, and machine learning is used to interpret the borehole sonic data.
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