Invention Grant
- Patent Title: Fluid type identification from downhole fluid analysis using machine learning techniques
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Application No.: US17755090Application Date: 2020-10-22
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Publication No.: US12146406B2Publication Date: 2024-11-19
- Inventor: Shahnawaz Hossain Molla , Farshid Mostowfi , John Nighswander , Adriaan Gisolf , Kai Hsu , Shunsuke Fukagawa , Thomas Pfeiffer
- 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 Jeffrey D. Frantz
- International Application: PCT/US2020/056811 WO 20201022
- International Announcement: WO2021/081174 WO 20210429
- Main IPC: E21B49/08
- IPC: E21B49/08 ; G01N21/31 ; G01N33/28
Abstract:
Embodiments present a method for fluid type identification from a downhole fluid analysis that uses machine learning techniques that are trained and derived from a computer model using pressure, temperature and downhole optical characteristics of sampled fluid.
Public/Granted literature
- US20220349302A1 FLUID TYPE IDENTIFICATION FROM DOWNHOLE FLUID ANALYSIS USING MACHINE LEARNING TECHNIQUES Public/Granted day:2022-11-03
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