- 专利标题: Identification of wellbore defects using machine learning systems
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申请号: US17116603申请日: 2020-12-09
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公开(公告)号: US11939858B2公开(公告)日: 2024-03-26
- 发明人: Peng Yuan , Jaehyuk Lee , Feyzi Inanc
- 申请人: Baker Hughes Oilfield Operations LLC
- 申请人地址: US TX Houston
- 专利权人: Baker Hughes Oilfield Operations LLC
- 当前专利权人: Baker Hughes Oilfield Operations LLC
- 当前专利权人地址: US TX Houston
- 代理机构: Hogan Lovells US LLP
- 主分类号: E21B47/005
- IPC分类号: E21B47/005 ; G06N20/00
摘要:
A method for identifying defects in a multi-barrier wellbore includes receiving log data, the log data corresponding to one or more wellbore operations, the log data including data from at least one measurement modality corresponding to a present measurement modality. The method also includes training, using the log data, a machine learning model. The method further includes acquiring wellbore data, via the present measurement modality, during a logging operation. The method also includes processing at least a portion of the wellbore data using the trained machine learning model. The method includes identifying one or more features of interest in the wellbore data, via the trained machine learning model.
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