Invention Grant
- Patent Title: Oil field resource allocation using machine learning and optimization
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Application No.: US17250036Application Date: 2019-04-30
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Publication No.: US11887031B2Publication Date: 2024-01-30
- Inventor: Abdulfattah Fahham , Richard James Stuart Booth
- 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 Alec J. McGinn
- International Application: PCT/US2019/029765 2019.04.30
- International Announcement: WO2019/217131A 2019.11.14
- Date entered country: 2020-11-10
- Main IPC: G06Q10/00
- IPC: G06Q10/00 ; G06Q10/0631 ; G06N20/00 ; G06Q50/02

Abstract:
Oil field resources are allocated using machine learning and optimization. A well of a set of wells is identified. A user interface is presented to obtain a priority of a set of priorities. A schedule is generated for a set of resources for a job using the priority. A job schedule is presented that includes a set of jobs for the set of wells. The job schedule is generated using the set of priorities. An update to the priority is obtained. An updated job schedule is presented based on the update to the priority.
Public/Granted literature
- US20210166184A1 OIL FIELD RESOURCE ALLOCATION USING MACHINE LEARNING AND OPTIMIZATION Public/Granted day:2021-06-03
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