Invention Grant
- Patent Title: Geological interpretation with artificial intelligence
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Application No.: US16503753Application Date: 2019-07-05
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Publication No.: US11428077B2Publication Date: 2022-08-30
- Inventor: Yan Kai Xu , Qingfeng Zhu , Hui Xie , Helen Xiaoyan Zhong , Ettore Mirto , Aria Abubakar , Yao Feng , Ping Zhang
- Applicant: Schlumberger Technology Corporation
- Applicant Address: US TX Sugar Land
- Assignee: Schlumberger Technology Corporation
- Current Assignee: Schlumberger Technology Corporation
- Current Assignee Address: US TX Sugar Land
- Agent Jeffrey D. Frantz
- Main IPC: E21B41/00
- IPC: E21B41/00 ; E21B44/00 ; G06N20/00 ; G06F30/20 ; E21B49/00 ; E21B7/04 ; G06F111/02

Abstract:
A method for drilling includes obtaining formation-measurement pairings, training a machine-learning model using the formation-measurement pairings, receiving measurements obtained by a tool positioned in a well formed in a formation, and generating a formation model of at least a portion of the formation using the machine-learning model and the measurements. The formation model represents one or more physical parameters of the formation, one or more structural parameters of the formation, or both.
Public/Granted literature
- US20200011158A1 GEOLOGICAL INTERPRETATION WITH ARTIFICIAL INTELLIGENCE Public/Granted day:2020-01-09
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