强天然水驱油藏开发后期产液结构自动优化技术
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摘要
基于最优控制理论,以强天然水驱油藏的生产规律作为基础约束条件,建立强天然水驱油藏开发后期产液结构数学模型,利用改进的同时扰动随机逼近算法(SPSA)对模型进行求解,并编制产液结构自动优化软件。模型避免了传统优化方法只注重求取数学最大值而忽略油田生产规律的缺点,具有计算效率高、周期短、能够自动寻优的优点,可满足油田开发后期产液结构的自动优化,同时也为同类油藏的开发调整提供参考。软件应用在南美洲厄瓜多尔D油田的开发生产实践中,实现了油田开发后期产液结构自动优化。图7表1参12
Based on the optimal control theory and taking the production law of reservoirs with strong natural aquifer as the basic constraint, a mathematical model of liquid production for such reservoirs in the later stage of development is established. The model is solved by improved simultaneous perturbation stochastic approximation algorithm(SPSA), and an automatic optimization software for liquid production is developed. This model avoids the disadvantage of traditional optimization methods that only focus on the maximum value of mathematics but ignore the production law of oilfield. It has the advantages of high efficiency of calculation, short period and automatic optimization. It can satisfy the automatic optimization of liquid production in later stage of oilfield development. The software was applied in the oilfield development of D oilfield, Ecuador in South America, and realized the automatic optimization of liquid production in the later stage of oilfield development.
Based on the optimal control theory and taking the production law of reservoirs with strong natural aquifer as the basic constraint, a mathematical model of liquid production for such reservoirs in the later stage of development is established. The model is solved by improved simultaneous perturbation stochastic approximation algorithm(SPSA), and an automatic optimization software for liquid production is developed. This model avoids the disadvantage of traditional optimization methods that only focus on the maximum value of mathematics but ignore the production law of oilfield. It has the advantages of high efficiency of calculation, short period and automatic optimization. It can satisfy the automatic optimization of liquid production in later stage of oilfield development. The software was applied in the oilfield development of D oilfield, Ecuador in South America, and realized the automatic optimization of liquid production in the later stage of oilfield development.
引文
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[10]赵辉,唐乙玮,康志江,等.油藏开发生产优化近似扰动梯度升级算法[J].中国石油大学学报(自然科学版),2016,40(2):99-104.ZHAO Hui,TANG Yiwei,KANG Zhijiang,et al.Reservoir production optimization using an upgraded perturbation gradient approximation algorithm[J].Journal of China University of Petroleum(Edition of Natural Science),2016,40(2):99-104.
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[12]CHEN C,WANG Y,LI G,et al.Closed-loop reservoir management on the Brugge test case[J].Computational Geosciences,2010,14(4):691-703.
[2]BARNES R J,KOKOSSIS A,SHANG Z.An integrated mathematical programming approach for the design and optimization of offshore fields[J].Computer&Chemical Engineering,2007,31(5):612-629.
[3]郝伟,周康,时凤霞,等.同时扰动随机逼近算法在聚合物驱生产优化中的应用[J].数学的实践与认识,2015,45(5):256-261.HAO Wei,ZHOU Kang,SHI Fengxia,et al.The application of simultaneous perturbation stochastic approximation method in production optimization of polymer flooding[J].Journal of Mathematics in Practice and Theory,2015,45(5):256-261.
[4]赵辉,曹琳,李阳,等.基于改进随机扰动近似算法的油藏生产优化[J].石油学报,2011,32(6):1031-1036.ZHAO Hui,CAO Lin,LI Yang,et al.Production optimization of oil reservoirs based on an improved simultaneous perturbation stochastic approximation algorithm[J].Acta Petrolei Sinica,2011,32(6):1031-1036.
[5]殷爱贞,张在旭,黄昶生,等.油田产量优化的目标规划模型[J].中国石油大学学报(自然科学版),2003,27(5):119-121.YIN Aizhen,ZHANG Zaixu,HUANG Changsheng,et al.A goal programming model for optimizing output of an oilfield[J].Journal of China University of Petroleum(Edition of Natural Science),2003,27(5):119-121.
[6]王芳,何松彪,郭晔.最优化理论与方法在油田产量优化中的改进[J].油气田地面工程,2006,25(11):1-2.WANG Fang,HE Songbiao,GUO Ye.Improvement on the study of output optimization model of oilfields[J].Oil-Gasfield Surface Engineering,2006,25(11):1-2.
[7]BROUWER D,JANSEN J.Dynamic optimization of waterflooding with smart wells using optimal control theory[J].SPE Journal,2004,9(4):391-402.
[8]苑志旺,杨宝泉,杨莉,等.深水浊积砂岩油田含水上升机理及优化注水技术:以西非尼日尔三角洲盆地AKPO油田为例[J].石油勘探与开发,2018,45(2):287-296.YUAN Zhiwang,YANG Baoquan,YANG Li,et al.Water-cut rising mechanism and optimized water injection technology for deepwater turbidite sandstone oilfield:A case study of AKPO Oilfield in Niger Delta Basin,West Africa[J].Petroleum Exploration and Development,2018,45(2):287-296.
[9]王继强,石成方,纪淑红,等.特高含水期新型水驱特征曲线[J].石油勘探与开发,2017,44(6):955-960.WANG Jiqiang,SHI Chengfang,JI Shuhong,et al.New water drive characteristic curves at ultra-high water cut stage[J].Petroleum Exploration and Development,2017,44(6):955-960.
[10]赵辉,唐乙玮,康志江,等.油藏开发生产优化近似扰动梯度升级算法[J].中国石油大学学报(自然科学版),2016,40(2):99-104.ZHAO Hui,TANG Yiwei,KANG Zhijiang,et al.Reservoir production optimization using an upgraded perturbation gradient approximation algorithm[J].Journal of China University of Petroleum(Edition of Natural Science),2016,40(2):99-104.
[11]BROUWER D,NAEVDAL G,JANSEN J,et al.Improved reservoir management through optimal control and continuous model updating[R].SPE 60149,2004.
[12]CHEN C,WANG Y,LI G,et al.Closed-loop reservoir management on the Brugge test case[J].Computational Geosciences,2010,14(4):691-703.
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