Assessing the Feasibility of Project Appraisal Methods in the Oil and Natural Gas Industry: A Case Study of ONGC's ABC Project
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Abstract
Project appraisal plays a crucial role in the decision-making process of organizations, particularly in the oil and natural gas industry where resources are limited and have alternative uses. The aim of this study is to evaluate the project appraisal methods used in the industry, with a specific focus on ONGC's ABC project. Through an analysis of the technical and financial feasibility of the project, this study aims to determine whether the project is viable and to identify any potential areas for improvement in ONGC's project appraisal processes. The findings of this study have implications for the oil and natural gas industry as a whole, highlighting the importance of effective project appraisal in ensuring the optimal allocation of resources.
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References
Abadie LM, Chamorro JM. Valuation of real options in crude oil production. Energies. 2017.
Deng YH. Multi-objective decision model of regional water resources' sustainable utilization. Commun Appl Math Comput. 2010;24(2):80–4 (in Chinese).
Dong Z, Wang Z, Zhao L, et al. Construction and application of risk rating and ranking model for international oil and gas exploration & production projects. J China Univ Pet Ed Natl Sci. 2010;34(1):164–9 (in Chinese).
Fazlollahtabar H, Saidi-Mehrabad M. Optimizing multi-objective decision making having qualitative evaluation. J Ind Manag Optim. 2015;11(3):747–62.
Ghandi A, Lawell C. On the rate of return and risk factors to international oil companies in Iran's buy-back service contracts. Energy Policy. 2017;103:16–29.
Grandits P, Thonhauser S. Risk averse asymptotics in a Black-Scholes market on a finite time horizon. Math Methods Oper Res. 2011;74(1):21–40.
Guo R, Dongkun L, Xu Z, et al. Integrated evaluation method-based technical and economic factors for international oil exploration projects. Sustainability. 2016.
Gurgel AR, Diniz AAR, Araujo EA, et al. Economical evaluation of heavy oil production from the Brazilian northeast. Energy Sour Part B. 2017;12(2):132–7.
Huang JY, Cao YF, Zhou HL, et al. Optimal investment timing and scale choice of overseas oil projects: a real option approach. Energies. 2018.
Li H, Dong KY, Jiang HD, et al. Risk assessment of china's overseas oil refining investment using a fuzzy-grey comprehensive evaluation method. Sustainability. 2017a;9(5):18
Li W, Dongkun L, Jiehui Y. A new approach for the comprehensive grading of petroleum reserves in China: two natural gas examples. Energy. 2017b;118:914–26.
Lin HW, Yao JS. Pricing stocks by using fuzzy dividend discount models. Iran J Fuzzy Syst. 2012;9(3):61–78.
Liu HJ, He X. Evaluation method of well space density economic limit in oilfield. Toronto: Universe Academic Press Toronto; 2008a (in Chinese).
Reinschmidt KF. Aggregate social discount rate derived from individual discount rates. Manage Sci. 2002;48(2):307–12.
Rowse J. On hyperbolic discounting in energy models: an application to natural gas allocation in Canada. Energy J. 2008.
Sorensen K, Springael J. Progressive multi-objective optimization. Int J Inf Technol Decis Mak. 2014;13(5):917–36. Wegener C, Basse T, Kunze F, et al. Oil prices and sovereign credit risk of oil producing countries: an empirical investigation. Quant Finance. 2016;16(12):1961–8.
Wei XM. Ant-genetic algorithms based on multi-objective optimization. New York: IEEE. 2012.
Yang YY, Li JP, Sun XL, et al. Measuring external oil supply risk: a modified diversification index with country risk and potential oil exports. Energy. 2014;68:930–8.
Yin AZ. Study on economic evaluation index system of oil-gas exploration project. In: Advanced research on information science, automation and material system, Pts 1-6. Advanced materials research. Stafa-Zurich: Trans Tech Publications Ltd.; 2011. pp. 1693–1696.
Zekri AY, Jerbi KK. Economic evaluation of enhanced oil recovery. Oil Gas Sci Technol-Revue D IFP Energies Nouvelles. 2002;57(3):259–67.
Zhan LC, Yang M, Hu S. Risk Assessment and prevention in oil-gas exploration industry: the Tarim basin as the case. Toronto: Universe Academic Press Toronto; 2008. p. 257–62.
Zhou YQ, Yan L. Comparing two models for evaluating an oilfield development project: mean-reversion with jumps, geometric brownian motion. In: Sustainable development of natural resources, advanced materials research. Stafa-Zurich: Trans Tech Publications Ltd.; 2013, Pts 1–3. pp. 1568–1572.
Zhu M, Wu SD, Fu KC, et al. Research of multi-objective decision model based on SPA. In: Proceedings of 2013 2nd international conference on measurement, information and control. International conference on measurement information and control. New York: IEEE; 2013. pp. 847–850.
