Invention Grant
- Patent Title: Geophysical inversion with convolutional neural networks
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Application No.: US16057356Application Date: 2018-08-07
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Publication No.: US10996372B2Publication Date: 2021-05-04
- Inventor: Huseyin Denli , Niranjan A. Subrahmanya
- Applicant: Huseyin Denli , Niranjan A. Subrahmanya
- Applicant Address: US NJ Basking Ridge; US CA Mountain View
- Assignee: Huseyin Denli,Niranjan A. Subrahmanya
- Current Assignee: Huseyin Denli,Niranjan A. Subrahmanya
- Current Assignee Address: US NJ Basking Ridge; US CA Mountain View
- Agency: ExxonMobil Upstream Research Company Law Department
- Main IPC: G01V99/00
- IPC: G01V99/00 ; G06N3/08 ; G06N3/04 ; G01V7/06 ; G01V1/30 ; G01V1/28 ; G01V3/38 ; G01V11/00

Abstract:
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.
Public/Granted literature
- US20190064389A1 Geophysical Inversion with Convolutional Neural Networks Public/Granted day:2019-02-28
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