Study on Integrated Closed-Loop Optimal Production Allocation of Offshore Gas Field Clusters

doi:10.3969/j.issn.1006-6535.2022.03.013

Abstract

Abstract: In order to achieve scientific and efficient production allocation of single wells and optimize gas field development decisions in the joint development of offshore gas field clusters, real-time production and monitoring data of gas field clusters were fitted by ensemble Kalman filter data assimilation method to obtain a geological model of gas field clusters with prediction results consistent with production performance. Taking the cumulative gas production of the four gas field clusters as the objective function, numerical simulation technologies and particle swarm algorithms were employed to realize intelligent optimization of production allocation for the clusters. The study results showed that the cumulative gas production in 10 years was 19.1×10⁸m³ after intelligent scheme optimization, which was 4.2% higher than that of the manual production allocation scheme, presenting a remarkable effect in productivity optimization. The study effectively improved the development efficiency, and provides technical support and case reference for the efficient development of other complex oil and gas fields and the construction of gas storage.

Key words: gas field group, joint production allocation, closed-loop optimization, ensemble Kalman filter, particle swarm optimization

CLC Number:

TE33

Yan Zhenghe. Study on Integrated Closed-Loop Optimal Production Allocation of Offshore Gas Field Clusters[J]. Special Oil & Gas Reservoirs, 2022, 29(3): 92-97.

References

[1] 陈璐.天然气在我国能源结构中的比较优势及其战略地位研究[D].荆州:长江大学,2014.
CHEN Lu.Study on comparative advantage and strategic position of natural gas in China's energy structure[D].Jingzhou:Yangtze University,2014.
[2] 李丰,曲德斌,张晓辉,等.气田调峰生产的多目标配产优化模型及其求解[J].天然气工业, 2012,32(11):51-53.
LI Feng,QU Debin,Zhang Xiaohui,et al.Multi-objective optimization allocation model for seasonal gas peak-shaving production in a gas field[J].Natural Gas Industry,2012,32(11):51-53.
[3] 邓勇,刘志斌,陆燕妮.天然气开发五年规划产量分配优化模型研究[J].钻采工艺,2005,28(6):43-45.
DENG Yong,LIU Zhibin,LU Yanni.Research of optimal models for gas production distribution of natural gas development five year programming[J].Drilling & Production Technology,2005,28(6):43-45.
[4] 赵金洲,卢立泽,刘志斌,等.气田开发规划产量分配优化模型及其应用[J].天然气工业,2004,24(9):86-89.
ZHAO Jinzhou,LU Lize,LIU Zhibin,et al.Optimized model to plan production allocation for gas field development and its application[J].Natural Gas Industry,2004,24(9):86-89.
[5] 李鹏,范倩倩,霍明会,等.苏里格气田气井配产与递减率关系研究及应用[J].西南石油大学学报(自然科学版),2020,42(1):126-132.
LI Peng,FAN Qianqian,HUO Minghui,et al.Researches on relationship between production allocation and decline rate of gas wells in Sulige Gas Field[J].Journal of Southwest Petroleum University (Science & Technology Edition),2020,42(1):126-132.
[6] 李晓明,张箭,曾宪兵,等.川西成组气田最优配产规划及决策[J].新疆石油地质,2008,29(3):358-360.
LI Xiaoming,ZHANG Jian,ZENG Xianbing,et al.Optimum programming and decision-making for production allocation in clustered gas fields in western Sichuan Province[J].Xinjiang Petroleum Geology,2008,29(3):358-360.
[7] 李庆祥,沈云军,孟祥高.涩北气田多层合采优化配产及动态预测[J].化学学报,2008,66(2):266-270.
LI Qingxiang,SHEN Yunjun,MENG Xianggao.Optimizing proration production and dynamic prediction for commingling production in the Sebei Gasfield[J].Acta Chimica Sinica,2008,66(2):266-270.
[8] 闫利恒,王延杰,麦欣,等.克拉美丽气田火山岩气藏配产方法优选[J].天然气工业,2012,32(2):51-53.
YAN Liheng,WANG Yanjie,MAI Xin,et al.Optimization of production allocation methods for volcanic gas reservoirs in the Kelameili Gas Field[J].Natural Gas Industry,2012,32(2):51-53.
[9] 吴国云,单高军,钟海全.多层疏松砂岩气田气井合理配产[J].大庆石油地质与开发,2009,28(6):143-145.
WU Guoyun,SHAN Gaojun,ZHONG Haiquan.Rational production proration of gas wells in multi-layered unconsolidated sandstone gas reservoir[J].Petroleum Geology & Oilfield Development in Daqing,2009,28(6):143-145.
[10] 刘林松,李闽,计曙东.控制气井地层压降速度配产方法探讨[J].钻采工艺,2016,39(5):46-47.
LIU Linsong,LI Min,JI Shudong.Research on proration method for controlling reservoir pressure descending rate[J].Drilling & Production Technology,2016,39(5):46-47.
[11] 刘道杰,周梭杰,刘志斌,等.异常高压气井动态优化配产模型研究[J].石油工业计算机应用,2009,28(4):28-31.
LIU Daojie,ZHOU Suojie,LIU Zhibin,et al.Study on the dynamic optimum proration model of a gas well with abnormally high pressure[J].Computer Applications of Petroleum,2009,28(4):28-31.
[12] 刘爱华.气藏生产一体化模拟技术在气田开发中的应用[J].中国石油石化,2017,20(8):78-79.
LIU Aihua.Application of integrated simulation technology of gas reservoir production in gas field development[J].China Petrochem,2017,20(8):78-79.
[13] 廖贻助,葛家理.复杂成组凝析油气田开发规划的递阶优化方法[J].西南石油学院学报,1988,10(1):24-33.
LIAO Yizhu,GE Jiali.Hierarchical optimization method for development planning of complex group condensate oil and gas fields[J].Journal of Southwestern Petroleum Institute,1988,10(1):24-33.
[14] 李允.现代优化技术在油田开发中的应用[M].北京:石油工业出版社,2001:3-5.
LI Yun.Application of modern optimization technology in oilfield development[M].Beijing:Petroleum Industry Press,2001:3-5.
[15] 薛皓.智能生产优化辅助决策系统建设及应用[J].中国石油和化工标准与质量,2020,40(7):29-31.
XUE Hao.Construction and application of intelligent production optimization auxiliary decision system[J].China Petroleum and Chemical Standard and Quality,2020,40(7):29-31.
[16] 刘超.海上平台生产系统实时智能优化技术研究[D].青岛:中国石油大学(华东),2012.
LIU Chao.Study on real-time intelligent optimization technology of offshore platform production system[D].Qingdao:China University of Petroleum(East China),2012.
[17] 张黎明,周建人,张凯,等.协方差局地化方法在自动历史拟合中的应用[J].断块油气田,2017,24(1):46-50.
ZHANG Liming,ZHOU Jianren,ZHANG Kai,et al.Application of covariance localization method in automatic history matching[J].Fault-Block Oil & Gas Field,2017,24(1):46-50.
[18] 邓志刚.油田开发中数据集成的集合卡尔曼滤波方法研究[D].成都:西南石油大学,2014.
DENG Zhigang.Study on ensemble Kalman filter for data integration in oilfield development[D].Chengdu:Southwest Petroleum University,2014.
[19] 陈杰,潘峰,王光辉.粒子群优化方法在动态优化中的研究现状[J].智能系统学报,2009,4(3):189-198.
CHEN Jie,PAN Feng,WANG Guanghui.Review of the PSO research in dynamic environments[J].CAAI Transactions on Intelligent Systems,2009,4(3):189-198.
[20] 李爱国,覃征,鲍复民,等.粒子群优化算法[J].计算机工程与应用,2002,38(21):1-3.
LI Aiguo,QIN Zheng,BAO Fumin,et al.Particle swarm optimization algorithm[J].Computer Engineering and Applications,2002,38(21):1-3.