井位不确定环境下的油田仓库选址问题

doi:10.12005/orms.2022.0350

运筹与管理 ›› 2022, Vol. 31 ›› Issue (11): 37-43.DOI: 10.12005/orms.2022.0350

井位不确定环境下的油田仓库选址问题

潘雯雯¹, 郭海湘^1,2,3, 柯小玲¹, 顾明赟¹, 刘晓⁴

1.中国地质大学经济管理学院,湖北武汉 430074;
2.中国地质大学中国矿产资源战略与政策研究中心,湖北武汉 430074;
3.西安财经大学管理学院,陕西西安 710100;
4.南昌大学公共政策与管理学院,江苏南昌 330031

收稿日期:2019-01-17 出版日期:2022-11-25 发布日期:2022-12-14
通讯作者: 郭海湘,(1978-),男,湘乡人,教授,博士,博士生导师。
作者简介:潘雯雯(1992-),女,信阳人,博士。
基金资助:
国家自然科学基金资助项目(71874165,72074198);国家社科基金重点项目(21AZD074);教育部哲学社会科学后期资助项目(20JHQ094);中央宣传部“宣传思想文化青年英才”项目(2020084007);中央高校基本科研业务费专项资金资助项目(CUG2642022006)。

Warehouse Location Problem under Uncertain Oil-well Location in Oilfield

PAN Wen-wen¹, GUO Hai-xiang^1,2,3, KE Xiao-ling¹, GU Ming-yun¹, LIU Xiao⁴

1. School of Economics and Management, China University of Geosciences, Wuhan 430074, China;
2. Mineral Resource Strategy and Policy Research Center of China University of Geosciences, Wuhan 430074, China;
3. School of Management, Xi’an University of Finance and Economics, Xi’an 710100, China;
4. School of Public Policy and Administration, Nanchang University, Nanchang 330031, China

Received:2019-01-17 Online:2022-11-25 Published:2022-12-14

摘要/Abstract

摘要： 油田工作中,合理的仓库选址决策不仅能节约物流成本,而且能提高油田作业效率。现有研究通常基于当前的油井位置(简称井位),没有考虑未来井位变化对仓库选址的影响。同时井位受到地下储层条件及油气公司远景规划等因素影响,未来的井位具有很强的不确定性。此外,仓库选址决策属中长期决策,将长期影响油田的物流费用、管理工作甚至开发工作,而且油田生产要求仓库能持续供应物资,所以油田仓库选址应考虑井位的不确定性和仓库服务中断等因素。本文首先根据油田井位分布和钻井规划采用随机模拟方法模拟未来井位,建立并求解考虑设施中断的离散选址模型。然后以鄂南油区物资仓库选址问题为例,模拟井位并求解仓库选址问题,从8个候选点中选出3个建库/租库。最后,分析井位和需求量变化对仓库选址结果的影响。井位不确定环境下油田物资仓库选址问题的研究,不仅对油田物流系统管理的研究具有一定的理论意义,也对油田的物流决策有重要的现实意义。

关键词: 油田, 仓库选址, 随机模拟, 设施中断, 井位不确定

Abstract: The rational warehouse location not only can save the logistic cost, but also improve the operation efficiency in oilfields. The existing research is usually based on current known oil-well locations, and does not consider the uncertain well locations in the future. But in real oilfield’s operation, well locations would be affected by underground reservoir conditions and strategic plans of the oilfield company, so well locations that might be serviced by the warehouses in the future are not fixed. In addition, the warehouse location problem will have long-term effects on logistics cost and even working in oilfield, and it should keep working, so the warehouse location decision in oilfield should consider the uncertainty of well locations and facility interruption. It is exactly based on these considerations that the stochastic simulation method is used for future well locations according to the current well locations and plans of exploitations. Then we propose the discrete location model with facility interruption and genetic algorithm. Also, we take the warehouse location problem in the south of ordos basin for North China Branch of Sinopec as example, and select 3 warehouses from 8 candidates. Finally, this paper makes a sensitivity analysis based on different well locations and material demand. The warehouse location problem under uncertain well locations is not only valuable in theory research of the logistic management but also of application value for the logistics decision of oil fields.

Key words: oilfield, warehouse location, stochastic simulation, facility interruption, uncertain well location

中图分类号:

F426.22

潘雯雯, 郭海湘, 柯小玲, 顾明赟, 刘晓. 井位不确定环境下的油田仓库选址问题[J]. 运筹与管理, 2022, 31(11): 37-43.

PAN Wen-wen, GUO Hai-xiang, KE Xiao-ling, GU Ming-yun, LIU Xiao. Warehouse Location Problem under Uncertain Oil-well Location in Oilfield[J]. Operations Research and Management Science, 2022, 31(11): 37-43.

参考文献

[1] 于冬梅,高雷阜,赵世杰.不确定与损毁情景下可靠性设施选址鲁棒优化模型与算法研究[J].系统工程理论与实践,2019,39(02):498-508.
[2] Ni W, Shu J, Song M, et al. A branch-and-price algorithm for facility location with general facility cost functions[J]. INFORMS Journal on Computing, 2021, 33(1): 86-104.
[3] Dbouk H M, Hayek H, Ghorayeb K. Modular approach for optimal pipeline layout[J]. Journal of Petroleum Science and Engineering, 2020, 197: 107934.
[4] 陈德泉,蔡晨,李世康,等.原油集输系统规划优选研究[J].中国管理科学,1987(3):1-8.
[5] 吴勤旻,徐庆.油库选址决策的二层优化模型研究[J].运筹与管理,2009,18(3):37-40.
[6] 贾善坡,金凤鸣,郑得文,等.含水层储气库的选址评价指标和分级标准及可拓综合判别方法研究[J].岩石力学与工程学报,2015,34(08):1628-1640.
[7] Daneshfar M A, Ardjmand M. A new approach in the optimal site selection of landfills for drilling cuttings from petroleum and gas fields[J]. Chemosphere, 2020, 270: 129402.
[8] 陈怀龙,王兆峰,孙林,等.山区丘陵地形丛式井整体开发设计方法[J].石油天然气学报,2014,36(002):120-123.
[9] Wang B, Liang Y, Yuan M, et al. Optimal design of oilfield surface pipeline networks for the cyclic water injection development method[J]. Journal of Petroleum Science and Engineering, 2018, 171: 1400-1408.
[10] Nasab N M, Amin-Naseri R M. Designing an integrated model for a multi-period, multi-echelon and multi-product petroleum supply chain[J]. Energy, 2016, 114: 708-733.
[11] Zarei J, Amin-Naseri R M. An integrated optimization model for natural gas supply chain[J]. Energy, 2019, 185: 1114-1130.
[12] Hong B, Li X, Di G, et al. An integrated MILP model for optimal planning of multi-period onshore gas field gathering pipeline system[J]. Computers & Industrial Engineering, 2020, 146: 106479.
[13] Rodrigues H W L, Prata B A, Bonates T O. Integrated optimization model for location and sizing of offshore platforms and location of oil wells[J]. Journal of Petroleum Science and Engineering, 2016, 145: 734-741.
[14] Al Dossary M A, Nasrabadi H. Well placement optimization using imperialist competitive algorithm[J]. Journal of Petroleum Science and Engineering, 2016, 147: 237-248.
[15] Silva L, Guedes Soares C. An integrated optimization of the floating and subsea layouts[J]. Ocean Engineering, 2019, 191: 106557.
[16] Alfares H K, Katta G M, Alsaaty A A. Applications of clustering models in offshore drilling for crude oil and natural gas[J]. Industrial Engineering & Management Systems, 2019, 18(1): 104-115.
[17] Almedallah M A, Branch G, Walsh S D C. Combined well path, submarine pipeline network, route and flow rate optimization for shallow-water offshore fields[J]. Applied Ocean Research, 2020, 105: 102396.
[18] 王超,习丽英,刘思宏,等.鄂尔多斯盆地天然气地质条件、资源潜力及勘探方向——评《鄂尔多斯盆地南部天然气勘探》[J].新疆地质,2020,38(04):574.
[19] Weng T W, Melati D, Melloni A, et al. Stochastic simulation and robust design optimization of integrated photonic filters[J]. Nanophotonics, 2017, 6(1): 299-308.
[20] Fathi-Vajargah B, Mirzazadeh M, Ghasemalipour S. An efficient monte carlo simulation for new uncertain Heston-CIR hybrid model[J]. Soft Computing, 2021, 25(13): 8539-8547.
[21] Poudel S, Marufuzzaman M, Quddus A M, et al. Designing a reliable and congested multi-modal facility location problem for biofuel supply chain network[J]. Energies, 2018, 11(7): 1682.
[22] Silva A, Aloise D, Coelho L C, et al. Heuristics for the dynamic facility location problem with modular capacities[J]. European Journal of Operational Research, 2021, 290(2): 435-452.
[23] Vansia D O, Dhodiya J M. Solution of multi-objective transportation-p-facility location problem with effect of variable carbon emission by evolutionary algorithms[J]. Soft Computing, 2021, 25(15): 9993-10005.
[24] Xie S, An K, Ouyang Y. Planning facility location under generally correlated facility disruptions: Use of supporting stations and quasi-probabilities[J]. Transportation Research Part B: Methodological, 2019, 122: 115-139.

井位不确定环境下的油田仓库选址问题

Warehouse Location Problem under Uncertain Oil-well Location in Oilfield

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