Conservation Production in an Oil Reserve, a Quantitative Approach Using Genetic Algorithm Optimization

Gholami, Fateme; Moridi Farimani, Fazel; Shahverdi, Hamidreza

doi:10.22054/jiee.2023.73086.1994

Conservation Production in an Oil Reserve, a Quantitative Approach Using Genetic Algorithm Optimization

Document Type : Research Paper

Authors

Fateme Gholami ¹

Fazel Moridi Farimani ²

Hamidreza Shahverdi ³

¹ M.Sc. Student in Petroleum Engineering, Isfahan University of Technology, Isfahan, Iran

² Assistant Professor, Economics Department, Faculty of Economics and Political Sciences, Shahid Beheshti University, Tehran, Iran.

³ Associate Professor, Petroleum Department, Faculty of Chemical Engineering, Isfahan University of Technology, Isfahan, Iran

https://doi.org/10.22054/jiee.2023.73086.1994

Abstract

Despite the decrease in the share of oil in the world's energy basket, the absolute amount of oil consumption is still increasing. Oil is at the center of the economic and political developments and countries with the oil and gas deposits are trying to maximize their benefit from these reserves. In Iran, there have been many policies and legislations related to optimizing the value and volume of the oil and gas reserve. The term "conservation production" has been mentioned several times in several legislations and guidelines however, it is still ambiguous as to how to implement this framework. This research has sought to use the real data of an oil reservoir (with periods of natural depletion, primary production, secondary and tertiary recovery), different objective functions (reservoir net present value and final recovery factor), and the effect of changes in the optimization period to model the concept of conservation production. The results show that the changes in the objective function and the optimization periods would have a significant effect on the production path.

Keywords

conservation production

Optimization

genetic algorithm

امامی میبدی، ارباب، ح. علیخانی. (1397). مدل‌سازی سناریوی بهینه فنی - اقتصادی تولید گاز در فازهای منتخب میدان گازی پارس جنوبی با استفاده از روش‌های برنامه‌ریزی پویا، نشریه پژوهش‌های سیاستگذاری و برنامه ریزی انرژی، 1397، دوره 4، شماره 12، صفحات 76-47

خلعتبری. (1379). بهره‌برداری بهینه از منابع نفتی در راستای توسعه پایدار

درخشان، مسعود. (1393). قراردادهای نفتی از منظر تولید صیانتی و ازدیاد برداشت: رویکرد اقتصاد مقاومتی، مطالعات اقتصاد اسلامی، ص 52-7.

طاهری فرد، ع. (1393). بهینه‌سازی پویای تولید نفت خام در یک مدل تصادفی و مقایسه آن با تولید نفت در چارچوب قرارداد بیع متقابل [رساله دکتری]. دانشگاه فردوسی مشهد.

قانون اصلاح قانون نفت. (1390). شماره 25218 ۱۳۹۰/۰۴/۲۱

محمدی، تیمور و معتمدی، منیره. (1389). بهینه‌یابی پویای تولید نفت در ایران (مطالعه موردی میدان نفتی هفتگل با تأکید بر تولید صیانتی). پژوهشنامه اقتصادی، سال دهم (38)، 265-235.

ناظمان، حسکویی، م. (1388). الگوی بهره‌برداری بهینه از ذخایر هیدروکربوری ایران در قالب یک مدل پویا، اقتصاد مقداری (بررسی‌های اقتصادی)، سال 1388، دوره 6، شماره 4، صفحات: 28-1.

نور احمدی، مهدی. (1397). بررسی وجوه فقهی الزامات فنی - اقتصادی تولید صیانتی از مخازن نفتی ایران. جستارهای اقتصادی ایران، سال پانزدهم، ص 28-9.

References

Bickel, J. E., Lake, L. W., & Lehman, J. (2011). Discretization, Simulation, and Swanson’s (Inaccurate) Mean. SPEEconomics & Management, 3 (03), 128-140. https://doi.org/10.2118/148542-PA

Chen, B., & Pawar, R. (2020). Joint Optimization of Well Completions and Controls for CO2 Enhanced Oil Recovery and Storage. Day 2 Tue, September 01, 2020, D021S027R003. https://doi.org/10.2118/200316-MS

Hong, A., Bratvold, R. B., & Lake, L. W. (2018). Fast Analysis of Optimal IOR Switch Time Using a Two-Factor Production Model and Least-Squares Monte Carlo Algorithm. Day 1 Wed, April 18, 2018, D011S010R001. https://doi.org/10.2118/191327-MS

Lee, A. S., & Aronofsky, J. S. (1958). A Linear Programming Model for Scheduling Crude Oil Production. Journal of Petroleum Technology, 10 (07), 51-54. https://doi.org/10.2118/862-G

Parra Sanchez, C. (December2018a). A life cycle optimization approach to hydrocarbon recovery [Mater Of Science in Engineering]. Texas at Austin. http://hdl.handle.net/2152/ETD-UT-2010-12-2620

Derakhshan, M. 2014. Oil contracts from the point of view of production and increase: a review of resistance economics, Islamic economic studies. Page 7-52. https://sid.ir/paper/220768/fa . [In Persian]

Norahmadi, M. 2018. Reviewing the jurisprudential aspects of the technical-economic requirements for the production of protection from Iran's oil reservoirs, Iran's economic surveys. Page 9-28. 10.30471/IEE.2018. 1552[In Persian]

Oil Law Amendment Law. (1390). No. 25218, 04/21/1390[In Persian]

Khalatbari, F. Optimum exploitation of oil resources in line with sustainable development. 2000. [In Persian]

Emami, Arbab, Alikhani. 2017. Modeling the optimal techno-economic scenario of gas production in selected phases of South Pars gas field using dynamic planning method. Energy Planning and Policy Studies, 4 (12), 47-76. SID. https://sid.ir/paper/371158/fa[In Persian]

Nazman, H, and Beki Haskoui, M. (2009). Optimal allocation of oil revenues in the form of a dynamic general equilibrium model. Quantitative Economics (Economic Reviews), 6 (4 (23)), 1-28. SID. https://sid.ir/paper/110684/fa[In Persian]

Taheri Fard, A. (2013). Dynamic optimization of crude oil production in a stochastic model and its comparison with oil production in the framework of mutual sale contract [doctoral thesis]. Mashhad Ferdowsi University. 10.22054/JIEE.2022.65446.1881[In Persian][1]