Invention Grant
- Patent Title: Systems and methods for evaluating and selecting completion equipment using a neural network
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Application No.: US17140221Application Date: 2021-01-04
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Publication No.: US11599955B2Publication Date: 2023-03-07
- Inventor: Abdulrahman K. Aleid , Yaser A. Alabdulhadi
- Applicant: Saudi Arabian Oil Company
- Applicant Address: SA Dhahran
- Assignee: Saudi Arabian Oil Company
- Current Assignee: Saudi Arabian Oil Company
- Current Assignee Address: SA Dhahran
- Agency: Fish & Richardson P.C.
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06Q50/02 ; G06K9/62 ; G06N3/08 ; G06Q10/0631

Abstract:
In an example method, a system obtains first data indicating a plurality of properties of a wellbore, and determines a plurality of types of completion equipment available for deployment at the wellbore. Further, the system determines, using a computerized neural network, a plurality of quality metrics based on the first data. Each of the quality metrics represents an estimated likelihood of success of operating a respective one of the types of completion equipment at the wellbore. Further, the system causes a graphical user interface to be displayed to a user. The graphical user interface includes a concurrent presentation of an indication of each of the types of completion equipment, and an indication of each of the quality metrics.
Public/Granted literature
- US20220213779A1 SYSTEMS AND METHODS FOR EVALUATING AND SELECTING COMPLETION EQUIPMENT USING A NEURAL NETWORK Public/Granted day:2022-07-07
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