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Layout Reconstruction Optimization Method of Oil-Gathering Systems for Oilfields in the Mid to Late Stage of Development Based on the Arithmetic–Fireworks Optimization Algorithm

Author

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  • Shuangqing Chen

    (School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China
    Postdoctoral Programme of Daqing Oilfield, Daqing 163318, China)

  • Shanlong Wang

    (School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China)

  • Minghu Jiang

    (School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China)

  • Yuchun Li

    (Daqing Oilfield Design Institute Co., Ltd., Daqing 163318, China)

  • Lan Meng

    (Daqing Oilfield Design Institute Co., Ltd., Daqing 163318, China)

  • Bing Guan

    (Postdoctoral Programme of Daqing Oilfield, Daqing 163318, China
    Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development, Northeast Petroleum University, Daqing 163318, China)

  • Ze Yu

    (School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China)

Abstract

The problems of uneven load and low operating efficiency in the oil-gathering system of old oilfields lead to higher operating costs. In order to reduce operating costs, the layout-reconfiguration optimization model is established, and the minimum comprehensive investment is taken as the objective function. The multi-constraint conditions, such as the current situation of the oil-gathering system, the processing capacity, the possibility of pipeline failure, and the obstacles, are considered. The hybrid arithmetic–fireworks optimization algorithm (AFOA) is proposed to solve the model. Combined with the experience of the hybrid metaheuristic algorithm, using hybrid metaheuristics, the hybrid of the arithmetic optimization algorithm (AOA) and the operator of the fireworks algorithm (FWA) is considered, and some improved operators of FWA are integrated into AOA to form a new algorithm (AFOA) to achieve a better solution effect. Compared with the 11 other algorithms, AFOA has better solution efficiency. This method is applied to the actual case of an old oilfield. The optimized scheme increases the average load rate of the station by 15.9% and reduces the operating costs by 38.1% per year. Overall, the reconstruction costs will be recovered in a short period.

Suggested Citation

  • Shuangqing Chen & Shanlong Wang & Minghu Jiang & Yuchun Li & Lan Meng & Bing Guan & Ze Yu, 2024. "Layout Reconstruction Optimization Method of Oil-Gathering Systems for Oilfields in the Mid to Late Stage of Development Based on the Arithmetic–Fireworks Optimization Algorithm," Mathematics, MDPI, vol. 12(18), pages 1-39, September.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:18:p:2819-:d:1476131
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    References listed on IDEAS

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    1. Amit Kumar Bairwa & Sandeep Joshi & Dilbag Singh, 2021. "Dingo Optimizer: A Nature-Inspired Metaheuristic Approach for Engineering Problems," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, June.
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