发明申请
- 专利标题: Automated Seismic Interpretation Using Fully Convolutional Neural Networks
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申请号: US16059567申请日: 2018-08-09
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公开(公告)号: US20190064378A1公开(公告)日: 2019-02-28
- 发明人: Wei D. LIU , Diego A. Hernandez , Niranjan A. Subrahmanya , D. Braden Fitz-Gerald
- 申请人: Wei D. LIU , Diego A. Hernandez , Niranjan A. Subrahmanya , D. Braden Fitz-Gerald
- 主分类号: G01V1/34
- IPC分类号: G01V1/34 ; G01V1/30 ; G06N3/04 ; G06N3/08 ; G06K9/62
摘要:
A method to automatically interpret a subsurface feature within geophysical data, the method including: storing, in a computer memory, geophysical data obtained from a survey of a subsurface region; and extracting, with a computer, a feature probability volume by processing the geophysical data with one or more fully convolutional neural networks, which are trained to relate the geophysical data to at least one subsurface feature, wherein the extracting includes fusing together outputs of the one or more fully convolutional neural networks.