Invention Grant
- Patent Title: System and method for seismic facies identification using machine learning
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Application No.: US15730814Application Date: 2017-10-12
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Publication No.: US10725189B2Publication Date: 2020-07-28
- Inventor: Konstantin Osypov , David Wilkinson , Laura L. Bandura , Adam Dean Halpert
- Applicant: CHEVRON U.S.A. INC.
- Applicant Address: US CA San Ramon
- Assignee: CHEVRON U.S.A. INC.
- Current Assignee: CHEVRON U.S.A. INC.
- Current Assignee Address: US CA San Ramon
- Agency: Sheppard, Mullin, Richter & Hampton LLP
- Main IPC: G01V1/30
- IPC: G01V1/30 ; G06N20/00 ; G01V1/00 ; G01V1/50
Abstract:
A method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; performing a machine learning algorithm on the seismic dataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method may be executed by a computer system.
Public/Granted literature
- US20180106917A1 SYSTEM AND METHOD FOR SEISMIC FACIES IDENTIFICATION USING MACHINE LEARNING Public/Granted day:2018-04-19
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