- 专利标题: AUTOMATED RESERVOIR MODEL PREDICTION USING ML/AI INTERGRATING SEISMIC, WELL LOG AND PRODUCTION DATA
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申请号: US17016075申请日: 2020-09-09
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公开(公告)号: US20220075915A1公开(公告)日: 2022-03-10
- 发明人: Sridharan Vallabhaneni , Samiran Roy , Soumi Chaki , Bhaskar Jogi Venkata Mandapaka , Rajeev Pakalapati , Shreshth Srivastav , Satyam Priyadarshy
- 申请人: Landmark Graphics Corporation
- 申请人地址: US TX Houston
- 专利权人: Landmark Graphics Corporation
- 当前专利权人: Landmark Graphics Corporation
- 当前专利权人地址: US TX Houston
- 主分类号: G06F30/27
- IPC分类号: G06F30/27 ; G01V1/28 ; G01V1/30
摘要:
Methods and apparatus for generating one or more reservoir 3D models are provided. In one or more embodiments, a method can include training a first machine learning model to generate one or more integrated enhanced logs based, at least in part, on an integrated data set, wherein the integrated data set includes seismic data and well log data; generating one or more integrated enhanced logs from the first machine learning model; grouping the one or more integrated enhanced logs into an ensemble of integrated enhanced logs to form a static reservoir 3D model of a subterranean reservoir; inputting additional data to the first machine learning model to produce one or more updated integrated enhanced logs; and grouping the one or more updated integrated enhanced logs into an ensemble of updated integrated enhanced logs to form an updated 3D model.
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