基于IHHO-TOPSIS的盐穴储气库群注采运行智能优化方法

Intelligent optimization methods of injection and withdrawal operations for salt cavern gas storage reservoir clusters based on IHHO-TOPSIS

摘要

针对盐穴储气库注采运行中气量分配依赖人工经验的问题,开展多腔联合注采优化研究,旨在实现安全、经济与高效运行的智能调度。以压缩机能耗最低和溶腔总温升最小为目标,构建注气优化模型;以溶腔压降最小和总产能利用率最高为目标,构建采气优化模型;采用改进哈里斯鹰算法求解,结合优劣解距离法对帕累托解集进行综合评价与决策。结果表明:对优化后的注气工况,压缩机能耗平均降低6.97%,温升平均降幅为5.45%;对优化后的采气工况,压降平均降幅为15.93%,总产能利用率平均增加5.11%;采用所提出的优化方法可达到盐穴储气库群注采运行的安全、经济、高效一体化的优化目标。

Abstract

To reduce reliance on manual experience in gas allocation during injection and withdrawal operations in salt cavern storage facilities, multi-cavity joint injection-withdrawal optimization was studied to achieve intelligent, safe, economical, and efficient scheduling. An injection optimization model was developed to minimize compressor energy consumption and cavity temperature rise. A separate withdrawal optimization model was formulated to reduce dissolution cavity pressure drop and increase total withdrawal capacity utilization. The improved Harris Hawks optimization algorithm(IHHO) was used to solve both models. The TOPSIS method was used for the evaluation and decision-making within the Pareto solution set. The results demonstrate that optimized injection conditions lower compressor energy consumption by an average of 6.97% and reduce temperature rise by 5.45%. Under optimized withdrawal conditions, the average pressure drop decreases by 15.93%, while the average total capacity utilization rises by 5.11%. This proposed optimization method can achieve the integrated optimization goal of safety, economy and efficiency for the injection and withdrawal operations in salt cavern storage cluster.

关键词

盐穴储气库 / 注采运行优化 / 改进哈里斯鹰算法 / 优劣解距离法 / 多目标优化

Key words

salt cavern gas storage / injection-withdrawal operation optimization / improved Harris Hawks optimization algorithm / TOPSIS method / multi-objective optimization

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基金资助

国家油气重大专项(2025ZD1406800)