Title: A new methodology for optimising production in an integrated model using a genetic algorithm

Authors: Mehdi Fadaei; Mohammad Javad Ameri; Yousef Rafiei

Addresses: Department of Petroleum Engineering, Amir Kabir University of Technology, No. 350, Tehran, Hafez Avenue, Valiasr Square, Tehran, Iran ' Department of Petroleum Engineering, Amir Kabir University of Technology, No. 350, Tehran, Hafez Avenue, Valiasr Square, Tehran, Iran ' Department of Petroleum Engineering, Amir Kabir University of Technology, No. 350, Tehran, Hafez Avenue, Valiasr Square, Tehran, Iran

Abstract: Optimisation of the production of an integrated model is the best method to increase production from hydrocarbon reservoirs. Constraint optimisation of an integrated model using a genetic algorithm can optimise and govern production. This paper presents a novel method for optimising integrated production systems. The novel approach is constraint optimisation with a genetic algorithm. The elements of the integrated model are the reservoir, well, choke, pipeline, and separator. One of the essential issues in integrated modelling is evaluating flow regimes before surface equipment. The target function of this study is maximising oil in the stock tank. The constraint for optimisation approaches is that no slug flow regime has formed at the separator inlet. The optimisation integrated model with the genetic algorithm increases the oil in the stock tank by about 16%. [Received: March 6, 2023; Accepted: February 13, 2024]

Keywords: new; optimising; production; integrated; genetic; algorithm.

DOI: 10.1504/IJOGCT.2024.139530

International Journal of Oil, Gas and Coal Technology, 2024 Vol.36 No.1, pp.95 - 120

Received: 03 Mar 2023
Accepted: 13 Feb 2024
Published online: 03 Jul 2024 *

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