Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach

Year : 2025 | Volume : 15 | Issue : 01 | Page : 29 34
    By

    Sunidhi Rajput,

  1. Student, Department of Electronics and Communication Engineering, Sir Chhotu Ram Institute of Engineering & Technology (SCRIET), Chaudhary Charan Singh University Campus, Meerut, Uttar Pradesh, India

Abstract

Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into design, control, and future design groups, the method makes it possible to explore deterministic scenarios effectively with few simulation runs. This methodology’s effectiveness in producing high-quality solutions within limited timeframes is demonstrated by applying it to a Brazilian offshore reservoir model that is still in the pre-development stage. The findings highlight how crucial practical engineering analysis and hierarchical variable structuring are to optimizing financial gains. Additionally, the study indicates that assisted optimization greatly lowers computational requirements, which makes it a useful tool for industry practitioners in oil field development strategic planning. To maximize field performance and financial returns, oil exploitation strategies must be optimized. Conventional approaches frequently address discrete elements of the design process while ignoring the relationships among important decision factors. In this work, a new assisted optimization procedure that hierarchically optimizes design, control, and future decision variables is presented. The approach produces optimal solutions with fewer simulation runs by combining deterministic simulations and engineering analysis. When the procedure was used on an offshore reservoir in Brazil, it resulted in notable increases in both net present value (NPV) and recovery factor (RF), with well placement having the biggest influence. This method provides a useful and effective framework for real-world applications by streamlining complex decision-making and lowering processing overhead. The findings open the door for further integration of probabilistic and machine learning techniques and demonstrate the possibility for improved reservoir management. This aided procedure establishes a new standard for oil field development strategy optimization.

Keywords: Oil exploitation strategy, reservoir simulation, assisted optimization, deterministic approach, decision-making, engineering analysis

[This article belongs to Journal of Petroleum Engineering & Technology ]

How to cite this article:
Sunidhi Rajput. Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach. Journal of Petroleum Engineering & Technology. 2025; 15(01):29-34.
How to cite this URL:
Sunidhi Rajput. Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach. Journal of Petroleum Engineering & Technology. 2025; 15(01):29-34. Available from: https://journals.stmjournals.com/jopet/article=2025/view=199161


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Regular Issue Subscription Review Article
Volume 15
Issue 01
Received 08/01/2025
Accepted 11/01/2025
Published 18/01/2025
157

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