Invention Publication
- Patent Title: MODULAR HYDROCARBON FACILITY PLACEMENT PLANNING SYSTEM WITH MACHINE LEARNING WELL TRAJECTORY OPTIMIZATION
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Application No.: US18294476Application Date: 2022-08-02
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Publication No.: US20240346608A1Publication Date: 2024-10-17
- Inventor: Kassem Ghorayeb , Hussein Hayek , Ahmad Harb , Tarek Naous
- 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
- International Application: PCT/US2022/039182 2022.08.02
- Date entered country: 2024-02-01
- Main IPC: G06Q50/06
- IPC: G06Q50/06 ; E21B41/00 ; G06N3/0499 ; G06N3/084 ; G06Q10/0631

Abstract:
A method may include receiving input data of one or more reservoir well section locations and a facility location and initializing the machine learning algorithm based on the input data. Moreover, the machine learning model may be trained to determine one or more well trajectories that adhere to a set of constraints based on a training dataset of predefined well trajectory solutions. The method may also include determining, via the machine learning algorithm, a well trajectory design between the facility location and at least one of the reservoir well section locations based on the facility location and the reservoir well section location.
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