基于机会约束规划的气藏型储气库优化设计

周军; 胡承强; 梁光川; 张平; 彭井宏; 马俊杰; 徐东阳

doi:10.3969/j.issn.1006-6535.2023.06.013

特种油气藏 >

2023 , Vol. 30 >Issue 6: 99 - 106

DOI: https://doi.org/10.3969/j.issn.1006-6535.2023.06.013

油藏工程

基于机会约束规划的气藏型储气库优化设计

周军 ,
胡承强 ,
梁光川 ,
张平 ,
彭井宏 ,
马俊杰 ,
徐东阳

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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

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。

收稿日期: 2022-12-02

修回日期: 2023-09-07

网络出版日期: 2024-01-19

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)

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

Zhou Jun ,
Hu Chengqiang ,
Liang Guangchuan ,
Zhang Ping ,
Peng Jinghong ,
Ma Junjie ,
Xu Dongyang

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

Received date: 2022-12-02

Revised date: 2023-09-07

Online published: 2024-01-19

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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

本文引用格式

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 . DOI: 10.3969/j.issn.1006-6535.2023.06.013

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

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