Development and application of an optimization model for overseas oil and gas production benefits

LI Ting

doi:10.13374/j.issn2095-9389.2023.03.15.003

Volume 45 Issue 10

Oct. 2023

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 2023 > 45(10): 1771-1781

LI Ting. Development and application of an optimization model for overseas oil and gas production benefits[J]. Chinese Journal of Engineering, 2023, 45(10): 1771-1781. doi: 10.13374/j.issn2095-9389.2023.03.15.003

Citation:

LI Ting. Development and application of an optimization model for overseas oil and gas production benefits[J]. Chinese Journal of Engineering, 2023, 45(10): 1771-1781. doi: 10.13374/j.issn2095-9389.2023.03.15.003

Citation:

PDF( 966 KB)

Development and application of an optimization model for overseas oil and gas production benefits

doi: 10.13374/j.issn2095-9389.2023.03.15.003

LI Ting^,

Research Institute of Exploration and Development, SINOPEC, Beijing 100083, China

More Information

Corresponding author: E-mail: liting.syky@sinopec.com
Received Date: 2023-03-15
Available Online: 2023-04-27
Publish Date: 2023-10-25

Abstract

Abstract

Benefit maximization is the enduring objective of production and management for international oil companies. This objective can only be realized through oil and gas production; thus, enhancing production efficiency inevitably leads to maintaining and increasing the value of overseas assets. Given the current practices adopted by domestic companies to improve the quality and efficiency of overseas projects, it is imperative to establish a set of comprehensive benefit and output optimization methods that can withstand oil price shocks, adapt to overseas projects, and cater to various other requirements, thereby serving to improve the quality and efficiency of overseas projects. Taking into account the differences between overseas and domestic projects, this paper analyzes the characteristics and strategies for realizing benefits under different financial and tax regimes, such as mine tax contracts, output-sharing contracts, and service contracts. A framework for evaluating the benefits and outputs of overseas projects under different conditions (such as cost, output, and other floating indicators) is established based on research and analysis conducted at home and overseas. Overall marginal benefit, cash flow, and profit optimization objectives are used to guide benefit allocation to achieve asset appreciation and preservation. A multidimensional and multi-objective decision-making model and an algorithm for benefit maximization are developed by considering both profitability and risk. A Pareto solution set is provided for a comprehensive optimal decision-making interval of overseas oil and gas field project development by considering the constraints of investment, cost, and block in conjunction with multiple decision-making objectives such as production, profit, and risk. This model was applied to specific cases of overseas oil fields under certain decision objectives, and the Pareto optimal decisions were generated. An in-depth analysis and comparison of each solution in the solution set was conducted. Appropriate selection of different solutions is advocated for different decision preferences to ensure the objectivity and scientific nature of profit management decisions. Finally, considering the influence of uncertainty factors, the scenario-based uncertainty analysis of the project output, oil price, cost, and investment has proved effective and generally provides reliable support for decision making in the context of overseas oilfield efficiency and plans for production optimization and high-quality development. The benefit production model and solving algorithm for overseas oilfield projects developed in this paper can provide a theoretical basis and support for decision making by oil field companies to optimize the production benefits of overseas oil fields and improve profitability.
- full benefit multidimensional,
- benefit yield model,
- asset appreciation and preservation,
- Pareto solution set,
- optimal decision interval

FullText(HTML)

References(20)

References

[1]	杜吉家, 張光華, 劉洪波. 石油經濟產量研究綜述. 石油大學學報(社會科學版), 2000(3):12 Du J J, Zhang G H, Liu H B. Summary of oil economic output research. J Univ Petroleum, 2000(3): 12
[2]	黃安琪. 海外油田開發效益評價及投資組合優化[學位論文]. 北京: 中國石油大學(北京), 2018 Huang A Q. Study on the Evaluation of Development Benefit and Investment Portfolio Optimization on Offshore Oilfield [Dissertation]. Beijing: China University of Petroleum (Beijing), 2018
[3]	Harrison G H, Tweedie J A. A multi-objective economic analysis of oilfield production policy // SPE Annual Technical Conference and Exhibition. San Antonio, 1981
[4]	張強, 李盼池, 劉麗杰. 基于量子混合蛙跳算法的油田開發規劃多目標優化. 信息與控制, 2014, 43(1):116 Zhang Q, Li P C, Liu L J. Multi-objective optimization of oilfield development plan based on quantum-shuffled frog-leaping algorithm. Inf Contr, 2014, 43(1): 116
[5]	宋杰鯤, 張在旭, 張宇. 油田措施配置的隨機機會約束規劃模型. 微計算機信息, 2007, 190(3):192 Song J K, Zhang Z X, Zhang Y. A stochastic chance-constrained programming model for measures program. Microcomput Inf, 2007, 190(3): 192
[6]	李偉. 基于Agent的多目標決策模型及在油田開發中的應用[學位論文]. 大慶: 東北石油大學, 2011 Li W. Model of Multi-Objective Decision-Making Based on Agent and Application in Oilfield Development [Dissertation]. Daqing: Northeast Petroleum University, 2011
[7]	張圓圓, 葉鵬. 基于信賴域算法的油田開發規劃模型研究. 內蒙古石油化工, 2010, 36(3):111 doi: 10.3969/j.issn.1006-7981.2010.03.055 Zhang Y Y, Ye P. A new solution method to oilfield development and programming model. Inn Mong Petrochem Ind, 2010, 36(3): 111 doi: 10.3969/j.issn.1006-7981.2010.03.055
[8]	遲國泰, 王化增, 程硯秋. 基于儲量價值評估的油田開發規劃模型及應用. 財經問題研究, 2010, 320(7):34 doi: 10.3969/j.issn.1000-176X.2010.07.005 Chi G T, Wang H Z, Cheng Y Q. Oilfield development planning model and application based on reserve value assessment. Res Financ Econ News, 2010, 320(7): 34 doi: 10.3969/j.issn.1000-176X.2010.07.005
[9]	李斌, 畢永斌, 高廣亮, 等. 油田開發規劃風險評估與分析. 特種油氣藏, 2016, 23(2):63 doi: 10.3969/j.issn.1006-6535.2016.02.015 Li B, Bi Y B, Gao G L. Risk assessment and analysis of oilfield development planning. Spec Oil Gas Reserv, 2016, 23(2): 63 doi: 10.3969/j.issn.1006-6535.2016.02.015
[10]	蓋英杰, 陳月明, 范海軍. 油田措施配置多目標隨機規劃. 系統工程理論與實踐, 2002, 22(2):131 doi: 10.3321/j.issn:1000-6788.2002.02.023 Gai Y J, Chen Y M, Fan H J. A multiple objective optimization under parameter uncertainty for measure program of oil field. Syst Eng Theory Pract, 2002, 22(2): 131 doi: 10.3321/j.issn:1000-6788.2002.02.023
[11]	Aseeri A, Gorman P, Bagajewicz M J. Financial risk management in offshore oil infrastructure planning and scheduling. Ind Eng Chem Res, 2004, 43(12): 3063 doi: 10.1021/ie034098c
[12]	檀雅靜, 計小宇, 王天智, 等. 基于SEC準則的油田開發規劃不確定優化模型及算法. 運籌與管理, 2020, 29(7):25 Tan Y J, Ji X Y, Wang T Z. Uncertain programming model and algorithm for oilfield development planning under SEC criterion. Oper Res Manag Sci, 2020, 29(7): 25
[13]	王志新. 油田開發規劃多目標不確定性優化模型及其應用. 大慶石油地質與開發, 2020, 39(5):86 doi: 10.19597/j.issn.1000-3754.201912030 Wang Z X. Multi-objective uncertainty optimization model of oilfield development planning and its application. Petrol Geol Oilfield Dev Daqing, 2020, 39(5): 86 doi: 10.19597/j.issn.1000-3754.201912030
[14]	胡娟, 劉志斌. 油田開發規劃的非線性模糊綜合評價模型. 石油天然氣學報, 2011, 33(10):132 doi: 10.3969/j.issn.1000-9752.2011.10.031 Hu J, Liu Z B. Nonlinear fuzzy and comprehensive evaluation model of oilfield development program. J Oil Gas Technol, 2011, 33(10): 132 doi: 10.3969/j.issn.1000-9752.2011.10.031
[15]	馮利娟, 郭大立, 鐘儀華, 等. 多準則多約束水平的油田開發規劃產量構成優化模型. 石油規劃設計, 2009, 20(6):14 Feng L J, Guo D L, Zhong Y H, et al. Production composition optimization model based on multiple criteria and multi-constraint levels linear programming. Oil Plan Eng, 2009, 20(6): 14
[16]	楊永青, 李樹榮. 油田開發規劃的機會約束妥協規劃模型. 統計與決策, 2008, 259(7):55 doi: 10.13546/j.cnki.tjyjc.2008.07.023 Yang Y Q, Li S Y. Opportunity constraint and compromise planning model for oilfield development planning. Stat Decis, 2008, 259(7): 55 doi: 10.13546/j.cnki.tjyjc.2008.07.023
[17]	康小軍, 李兆敏, 劉志斌. 隨機油價下的油田開發規劃優化模型. 石油勘探與開發, 2007, 201(6):765 doi: 10.3321/j.issn:1000-0747.2007.06.023 Kang X J, Li Z M, Liu Z B. Optimal model of oilfield development programming under stochastic oil price. Petrol Explor Dev, 2007, 201(6): 765 doi: 10.3321/j.issn:1000-0747.2007.06.023
[18]	楊莉, 劉鈞, 楊希濮. 海外油田開發項目投資決策風險識別及應對策略. 國際石油經濟, 2022, 30(3):97 doi: 10.3969/j.issn.1004-7298.2022.03.012 Yang L, Liu J, Yang X P. Risk identification and coping strategies of overseas oilfield development project investment decision. Int Petrol Econ, 2022, 30(3): 97 doi: 10.3969/j.issn.1004-7298.2022.03.012
[19]	范子菲, 王瑞峰, 許安, 等. 海外油田開發方案設計策略與方法. 北京: 石油工業出版社, 2021 Fan Z X, Wang R F, Xu A, et al. HAIWAI YOUTIAN KAIFA FANGAN SHEJI CELUE YU FANGFA. Beijing: Petroleum Industry Press, 2021
[20]	Deb K, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput, 2022, 6(2): 182