- 专利标题: Geophysical inversion with convolutional neural networks
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申请号: US16057356申请日: 2018-08-07
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公开(公告)号: US10996372B2公开(公告)日: 2021-05-04
- 发明人: Huseyin Denli , Niranjan A. Subrahmanya
- 申请人: Huseyin Denli , Niranjan A. Subrahmanya
- 申请人地址: US NJ Basking Ridge; US CA Mountain View
- 专利权人: Huseyin Denli,Niranjan A. Subrahmanya
- 当前专利权人: Huseyin Denli,Niranjan A. Subrahmanya
- 当前专利权人地址: US NJ Basking Ridge; US CA Mountain View
- 代理机构: ExxonMobil Upstream Research Company Law Department
- 主分类号: G01V99/00
- IPC分类号: G01V99/00 ; G06N3/08 ; G06N3/04 ; G01V7/06 ; G01V1/30 ; G01V1/28 ; G01V3/38 ; G01V11/00
摘要:
A method including: storing, in a computer memory, geophysical data obtained from a survey of a subsurface region; and extracting, with a computer, a subsurface physical property model by processing the geophysical data with one or more convolutional neural networks, which are trained to relate the geophysical data to at least one subsurface physical property consistent with geological prior information.
公开/授权文献
- US20190064389A1 Geophysical Inversion with Convolutional Neural Networks 公开/授权日:2019-02-28
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