基于算术-火工优化算法的开发中后期油田集油系统布局重构优化方法

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-09-11 DOI:10.3390/math12182819
Shuangqing Chen, Shanlong Wang, Minghu Jiang, Yuchun Li, Lan Meng, Bing Guan, Ze Yu
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引用次数: 0

摘要

老油田集油系统存在负荷不均、运行效率低等问题,导致运行成本较高。为降低运行成本,建立布局重构优化模型,以综合投资最小为目标函数。考虑了采油系统现状、处理能力、管道故障可能性、障碍物等多约束条件。提出了混合算术-火工优化算法(AFOA)来求解该模型。结合混合元启发式算法的经验,利用混合元启发式算法,考虑算术优化算法(AOA)和烟花算法算子(FWA)的混合,并将 FWA 的一些改进算子集成到 AOA 中,形成一种新算法(AFOA),以达到更好的求解效果。与其他 11 种算法相比,AFOA 具有更好的求解效率。该方法被应用于一个老油田的实际案例中。优化后的方案使油气站的平均负荷率提高了 15.9%,每年的运营成本降低了 38.1%。总体而言,重建成本可在短期内收回。
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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
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.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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