基于机会约束规划的气藏型储气库优化设计

doi:10.3969/j.issn.1006-6535.2023.06.013

特种油气藏 ›› 2023, Vol. 30 ›› Issue (6): 99-106.DOI: 10.3969/j.issn.1006-6535.2023.06.013

基于机会约束规划的气藏型储气库优化设计

周军¹, 胡承强¹, 梁光川¹, 张平², 彭井宏¹, 马俊杰¹, 徐东阳¹

1.西南石油大学,四川成都 610500;
2.国家管网集团西气东输公司,上海 200122

收稿日期:2022-12-02 修回日期:2023-09-07 出版日期:2023-12-25 发布日期:2024-01-19
通讯作者: 彭井宏(1995—),男,2017年毕业于西南石油大学油气储运工程专业,现为该校油气储运工程专业在读博士研究生,主要从事天然气地下储气库稳定性评价和优化研究工作。
作者简介:周军(1987—),男,副教授,2010年毕业于中国石油大学(北京)油气储运工程专业,2015年毕业于该校油气储运工程专业,获博士学位,现主要从事天然气管网和地下储气库的优化研究工作。
基金资助:
国家自然科学基金青年科学基金资助项目“离散/网络空间中油气管网设计优化方法和体系结构研究基金”(51704253)

Optimization Design of Storage in Gas Fields Based on the Chance Constrained Programming

Zhou Jun¹, Hu Chengqiang¹, Liang Guangchuan¹, Zhang Ping², Peng Jinghong¹, Ma Junjie¹, Xu Dongyang¹

1. Southwest Petroleum University, Chengdu, Sichuan 610500, China;
2. PipeChina West-East Gas Transmission Company, Shanghai 200122, China

Received:2022-12-02 Revised:2023-09-07 Online:2023-12-25 Published:2024-01-19

摘要/Abstract

摘要： 针对传统储气库确定性优化方法难以应对天然气用户需求波动的实际,采用机会约束规划方法,建立需求不确定下以总投资成本最小为目标的气藏型储气库设计优化模型。优化模型以垫气量、井数、压缩机台数、脱水设备数作为决策变量,涉及库存变化、单井注采能力及需求不确定性等约束条件,考虑到用户需求的不确定性,采用机会约束规划方法对不确定性进行预处理,并将优化模型应用于某油田W23储气库,采用GAMS建模系统与DICOPT求解器进行求解。结果表明:不确定性下优化方案的总投资成本节约了60 213.34×10⁴元,优化效果明显;用户需求的不确定性较大程度影响了储气设施的投资决策,总投资成本与置信水平之间的关系体现了不确定性下收益与风险的矛盾决策关系。该研究对储气库设计具有借鉴意义。

关键词: 机会约束规划, 储气库, 需求不确定性, 垫气量, 投资成本

Abstract: Aiming at the reality that traditional deterministic optimization method of gas storage is difficult to cope with the fluctuation of natural gas users'demand, the chance constrained programming method was adopted to establish the optimization model for the design of storage in gas fields with the objective of minimizing the total investment cost under the demand uncertainty. The optimization model took the cushion gas volume, the number of wells, the number of compressors, and the number of dewatering equipment as the decision variables, and involved the constraints such as inventory change, single-well injection and extraction capacity, and demand uncertainty, etc. In view of the uncertainty of users' demand, the chance constrained programming method was adopted for the pre-processing of the uncertainty, the optimization model was applied to the gas storage W23 in a certain oil field, and the GAMS modeling system with DICOPT solver was used for the solution. The results show that the optimization scheme under uncertainty saves CNY 60 213.34×10⁴ in the total investment cost, with obvious optimization effect; the uncertainty of user demand affects the investment decision of the gas storage facility to a larger extent, and the relationship between the total investment cost and the confidence level reflects the contradictory decision-making relationship between benefit and risk under uncertainty. The study is of great significance for the design of the gas storage.

Key words: chance constrained programming, gas storage, demand uncertainty, cushion gas volume, investment cost

中图分类号:

TE822

周军, 胡承强, 梁光川, 张平, 彭井宏, 马俊杰, 徐东阳. 基于机会约束规划的气藏型储气库优化设计[J]. 特种油气藏, 2023, 30(6): 99-106.

Zhou Jun, Hu Chengqiang, Liang Guangchuan, Zhang Ping, Peng Jinghong, Ma Junjie, Xu Dongyang. Optimization Design of Storage in Gas Fields Based on the Chance Constrained Programming[J]. Special Oil & Gas Reservoirs, 2023, 30(6): 99-106.

参考文献

[1] 李洪兵,张吉军.中国能源消费结构及天然气需求预测[J].生态经济,2021,37(8):71-78.
LI Hongbing,ZHANG Jijun.China's energy consumption structure and forecast on natural gas demand[J].Ecological Economy,2021,37(8):71-78.
[2] 徐博,金浩,向悦,等.中国“十四五”天然气消费趋势分析[J].世界石油工业,2021,28(1):10-19.
XU Bo,JIN Hao,XIANG Yue,et al.Analysis of natural gas consumption trend in China during the 14th Five-Year Plan[J].World Petroleum Industry,2021,28(1):10-19.
[3] 魏欢,田静,李波,等.中国天然气储气调峰方式研究[J].天然气工业,2016,36(8):145-150.
WEI Huan,TIAN Jing,LI Bo,et al.Research on natural gas storage and peak-shaving modes in China[J].Natural Gas Industry,2016,36(8):145-150.
[4] 张福强,曾平,周立坚,等.国内外地下储气库研究现状与应用展望[J].中国煤炭地质,2021,33(10):39-42,52.
ZHANG Fuqiang,ZENG Ping,ZHOU Lijian,et al.Underground gas storage research status quo and application expectations at home and abroad[J].Coal Geology of China,2021,33(10):39-42,52.
[5] 牛月.我国天然气储气调峰体系发展现状及展望[J].当代化工,2021,50(7):1654-1657.
NIU Yue.Development status and prospects of gas storage peak shaving system in China[J].Contemporary Chemical Industry,2021,50(7):1654-1657.
[6] 毛永强.孤家子气田储气库关键指标设计优化技术[J].大庆石油地质与开发2021,40(1):96-102.
MAO Yongqiang.Design optimization technology of key indicators for the gas storage in Gujiazi Gasfield[J].Petroleum Geology & Oilfield Development in Daqing,2021,40(1):96-102.
[7] 邵燕林,乔禹达,张娜,等. 高陡构造带碳酸盐岩储气库断层封闭性评价——以川东WSC气田为例[J].长江大学学报(自然科学版),2022,19(1):1-8.
SHAO Yanlin,QIAO Yuda,ZHANG Na,et al. Fault sealing evaluation of carbonate gas storage in high-steep structural belt:taking WSC Gasfield in eastern Sichuan as an example [J]. Journal of Yangtze University (Natural Science Edition),2022,19(1):1-8.
[8] 焦霞蓉,江山,刘洪,等.长春油田X断块气顶油藏型储气库注气能力评价[J].长江大学学报(自然科学版),2022,19(6):78-84.
JIAO Xiarong,JIANG Shan,LIU Hong,et al. Evaluation of gas injection capacity of gas cap reservoir type gas storage in X-fault block of Changchun Oilfield [J].Journal of Yangtze University (Natural Science Edition),2022,19(6):78-84.
[9] 廖伟,刘国良,李欣潞,等. 呼图壁储气库边底水水侵前缘动用及注采风险评价[J]. 新疆石油地质,2022,43(1):66-71.
LIAO Wei, LIU Guoliang, LI Xinlu,et al. Producing of edge and bottom water invasion front and risk assessment on injection and production of Hutubi UGS[J].Xinjiang Petroleum Geology,2022,43(1):66-71.
[10] 殷富国,程时清,黄兰,等. 气驱协同型储气库建库不同阶段产能预测[J]. 新疆石油地质,2022,43(5):600-605.
YIN Fuguo,CHENG Shiqing,HUANG Lan,et al. Productivity prediction in different stages of collaborative construction of underground gas storage and gas flooding[J].Xinjiang Petroleum Geology,2022,43(5):600-605.
[11] 张玥,贾善坡,温曹轩,等. 气藏型储气库圈闭应力场扰动规律及影响因素分析[J].东北石油大学学报,2022,46(5):115-128.
ZHANG Yue,JIA Shanpo,WEN Caoxuan,et al. Analysis on disturbance law and influencing factors of trap stress field in gas reservoir[J]. Journal of Northeast Petroleum University,2022,46(5):115-128.
[12] 刘建勋,刘岩.中国地下储气库建设的发展现状及展望[J].应用化工,2022,51(4):1136-1140,1145.
LIU Jianxun,LIU Yan.Development status and prospects of China's underground gas storage construction[J].Applied Chemical Industry,2022,51(4):1136-1140,1145.
[13] 徐东,唐国强.中国储气库投资建设与运营管理的政策沿革及研究进展[J].油气储运,2020,39(5):481-491.
XU Dong,TANG Guoqiang.Policy evolution and research progress of investment,construction and operation management of gas storage in China[J].Oil & Gas Storage and Transportation,2020,39(5):481-491.
[14] 祝青宇,冯垄.油气藏型地下储气库储转费计算方法探讨[J].天然气技术与经济,2020,14(3):74-78.
ZHU Qingyu,FENG Long.Methods for calculating the storage and transportation fee for UGSs rebuilt from oil and gas reservoirs[J].Natural Gas Technology and Economy,2020,14(3):74-78.
[15] 梁光川,蒲宏斌,郑云萍,等.地下储气库优化设计的灰色关联分析法[J].天然气工业,2004,24(9):142-144.
LIANG Guangchuan,PU Hongbin,ZHENG Yunping,et al.Gray correlation analysis of optimized design for underground gas storage[J].Natural Gas Industry,2004,24(9):142-144.
[16] 梁光川,李庆,彭星煜.基于熵权-密切值法的地下储气库设计方案优选[J].油气储运,2017,36(7):811-815.
LIANG Guangchuan,LI Qing,PENG Xingyu.UGS design proposal optimization based on entropy weight-osculating value method[J].Oil & Gas Storage and Transportation,2017,36(7):811-815.
[17] 乔伟彪,陈保东,李朝阳.综合权重地下储气库方案优选模型研究[J].北京石油化工学院学报,2014,22(4):29-35.
QIAO Weibiao,CHEN Baodong,LI Chaoyang.A study on scheme optimization of underground gas storage considering a comprehensive weight[J].Journal of Beijing Institute of Petrochemical Technology,2014,22(4):29-35.
[18] ZHANG Q,ZHANG Y M,GONG Y F,et al.Researches in optimization selection of design scheme of underground natural gas storage based on TOPSIS method[C].EDEP,2016:70-75.
[19] 梅思阳,马贵阳,曹鹏.基于IEEM和FCE的盐穴地下储气库设计方案优选[J].节能技术,2016,34(6):549-552,566.
MEI Siyang,MA Guiyang,CAO Peng.Optimization of design scheme of underground gas storage in salt cavern based on IEEM and FCE[J].Energy Conservation Technology,2016,34(6):549-552,566.
[20] ŽLENDER Bojan,JELU$\bar{S}$IČ P,BOUMEZERANE D.The feasibility analysis of underground gas storage caverns[J].Engineering Structures,2013,55:16-25.
[21] JELU$\bar{S}$IČ P,kravanja S ,ŽLENDER Bojan.Optimal cost and design of an underground gas storage by ANFIS[J].Journal of Natural Gas Science and Engineering,2019,61:142-157.
[22] 周军,彭井宏,孙建华,等.基于模糊综合评价法的气藏型储气库注采方案优选研究[J].石油科学通报,2021,6(3):494-504.
ZHOU Jun,PENG Jinghong,SUN Jianhua,et al.Study of the optimization of an injection and production scheme of gas storage in depleted gas reservoirs based on a fuzzy comprehensive evaluation method[J].Petroleum Science Bulletin,2021,6(3):494-504.
[23] ACAR E,BAYRAK G,JUNG Y,et al.Modeling,analysis,and optimization under uncertainties:a review[J].Structural and Multidisciplinary Optimization,2021,64(5):2909-2945.

基于机会约束规划的气藏型储气库优化设计

Optimization Design of Storage in Gas Fields Based on the Chance Constrained Programming

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