Invention Grant
- Patent Title: Machine learning training set generation
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Application No.: US16324109Application Date: 2016-09-09
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Publication No.: US11377931B2Publication Date: 2022-07-05
- Inventor: Ahmed Adnan Aqrawi , Nader Salman , Guido Johannes van der Hoff
- 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 Christopher M. Mooney
- International Application: PCT/US2016/050845 WO 20160909
- International Announcement: WO2018/031051 WO 20180215
- Main IPC: E21B43/00
- IPC: E21B43/00 ; G01V1/50 ; E21B47/00 ; E21B41/00 ; G01V1/30 ; G06K9/62 ; G06N3/04 ; G01V11/00 ; G06F30/20

Abstract:
Systems, computer-readable media, and methods for generating machine learning training data by obtaining reservoir data, determining subsections of the reservoir data, labeling the subsections of the reservoir data to generate labeled reservoir data, and feeding the labeled reservoir data into an artificial neural network. The reservoir data can be labeled using analysis data or based on interpretive input from an interpreter.
Public/Granted literature
- US20190169962A1 Machine Learning Training Set Generation Public/Granted day:2019-06-06
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