- 专利标题: Unsupervised well log reconstruction and outlier detection
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申请号: US17753499申请日: 2020-09-03
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公开(公告)号: US12093346B2公开(公告)日: 2024-09-17
- 发明人: Xiaoli Chen , Hiren Maniar , Aria Abubakar
- 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 Jeffrey D. Frantz
- 国际申请: PCT/US2020/070494 2020.09.03
- 国际公布: WO2021/046576A 2021.03.11
- 进入国家日期: 2022-03-04
- 主分类号: G06F18/22
- IPC分类号: G06F18/22 ; G06N3/088
摘要:
A method includes receiving well log data comprising a plurality of well logs, identifying one or more sections of one or more well logs of the plurality of well logs that have substantially complete data, training a reconstruction neural network to reconstruct incomplete well logs based on the one or more sections of the one or more well logs that have substantially complete data, and reconstructing one or more incomplete well logs of the plurality of well logs using the reconstruction neural network.
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