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公开(公告)号：US20220066064A1
公开(公告)日：2022-03-03
申请号：US17010325
申请日：2020-09-02
发明人： Marei Saeed Al-Garni , Mohammed Sabri Al Madani , Maan Abdullah AlHawi , Mohammed AlRashed , Abdulrahman Albar
摘要： A method may include obtaining, by a computer processor, seismic data regarding a geological region of interest. The method may further include obtaining, by the computer processor, well log data from a wellbore within the geological region of interest. The method may further include determining, by the computer processor, a formation top depth using the seismic data, the well log data, a stratigraphic column, and a machine-learning model. The stratigraphic column may describe an order of various formations within the geological region of interest. The machine-learning model may assign a feature among the seismic data and the well log data to a formation among the formations in the stratigraphic column to determine the formation top depth.
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公开(公告)号：US11719851B2
公开(公告)日：2023-08-08
申请号：US17010325
申请日：2020-09-02
发明人： Marei Saeed Al-Garni , Mohammed Sabri Al Madani , Maan Abdullah AlHawi , Mohammed AlRashed , Abdulrahman Albar
CPC分类号： G01V5/06 , E21B49/00 , G01V1/28 , G01V1/40 , G01V99/005 , G06N3/04 , E21B2200/20 , G01V2210/6169 , G01V2210/66
摘要： A method may include obtaining, by a computer processor, seismic data regarding a geological region of interest. The method may further include obtaining, by the computer processor, well log data from a wellbore within the geological region of interest. The method may further include determining, by the computer processor, a formation top depth using the seismic data, the well log data, a stratigraphic column, and a machine-learning model. The stratigraphic column may describe an order of various formations within the geological region of interest. The machine-learning model may assign a feature among the seismic data and the well log data to a formation among the formations in the stratigraphic column to determine the formation top depth.
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