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Integrated Evaluation Method-Based Technical and Economic Factors for International Oil Exploration Projects

Author

Listed:
  • Rui Guo

    (School of Business Administration, China University of Petroleum (Beijing), No. 18, Fuxue Road, Changping District, Beijing 102249, China)

  • Dongkun Luo

    (School of Business Administration, China University of Petroleum (Beijing), No. 18, Fuxue Road, Changping District, Beijing 102249, China)

  • Xu Zhao

    (School of Business Administration, China University of Petroleum (Beijing), No. 18, Fuxue Road, Changping District, Beijing 102249, China)

  • Jianliang Wang

    (School of Business Administration, China University of Petroleum (Beijing), No. 18, Fuxue Road, Changping District, Beijing 102249, China)

Abstract

Optimizing international oil exploration projects is one of the main challenges for oil companies in obtaining investment benefits. This paper establishes an integrated evaluation model to maximize investment benefits within the constraints of technical and economic factors, including geological factors, resource quality, geographic conditions, the investment environment, and oil contracts. The paper also proposes a dynamic calculation method of indicators’ weight associated with oil prices. The analysis describes the effects of contract terms and the investment environment on project value and quantifies the contractor income ratio for different types of contracts and the investment environment of the host country. Oil exploration projects in Africa are illustrated as examples in which the evaluation indicator Adjusted Concept Reserves (ACR) is calculated for each project. The results show that remaining recoverable reserves and contract terms exert tremendous influences on ACR, and remaining recoverable reserves is the essential factor. Simultaneously, changes in oil prices lead to various rates of change in the contractor income ratio, which is determined by different fiscal terms. This study is important in helping oil companies optimize international oil projects and design reasonable investment strategies.

Suggested Citation

  • Rui Guo & Dongkun Luo & Xu Zhao & Jianliang Wang, 2016. "Integrated Evaluation Method-Based Technical and Economic Factors for International Oil Exploration Projects," Sustainability, MDPI, vol. 8(2), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:2:p:188-:d:64217
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    References listed on IDEAS

    as
    1. repec:dau:papers:123456789/13716 is not listed on IDEAS
    2. Haque, Md. Aminul & Topal, Erkan & Lilford, Eric, 2014. "A numerical study for a mining project using real options valuation under commodity price uncertainty," Resources Policy, Elsevier, vol. 39(C), pages 115-123.
    3. Luo, D.K. & Dai, Y.J. & Xia, L.Y., 2011. "Economic evaluation based policy analysis for coalbed methane industry in China," Energy, Elsevier, vol. 36(1), pages 360-368.
    4. Bhattacharya, Anindya & Kojima, Satoshi, 2012. "Power sector investment risk and renewable energy: A Japanese case study using portfolio risk optimization method," Energy Policy, Elsevier, vol. 40(C), pages 69-80.
    5. Emhjellen, Magne & Alaouze, Chris M., 2002. "Project valuation when there are two cashflow streams," Energy Economics, Elsevier, vol. 24(5), pages 455-467, September.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    7. Creti, Anna & Ftiti, Zied & Guesmi, Khaled, 2014. "Oil price and financial markets: Multivariate dynamic frequency analysis," Energy Policy, Elsevier, vol. 73(C), pages 245-258.
    8. Feng, Zhuo & Zhang, Shui-Bo & Gao, Ying, 2014. "On oil investment and production: A comparison of production sharing contracts and buyback contracts," Energy Economics, Elsevier, vol. 42(C), pages 395-402.
    9. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    10. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    11. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
    12. Katircioglu, Salih Turan & Sertoglu, Kamil & Candemir, Mehmet & Mercan, Mehmet, 2015. "Oil price movements and macroeconomic performance: Evidence from twenty-six OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 257-270.
    13. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    14. Zhao, Xu & Luo, Dongkun & Xia, Liangyu, 2012. "Modelling optimal production rate with contract effects for international oil development projects," Energy, Elsevier, vol. 45(1), pages 662-668.
    15. Michael R. Walls & James S. Dyer, 1996. "Risk Propensity and Firm Performance: A Study of the Petroleum Exploration Industry," Management Science, INFORMS, vol. 42(7), pages 1004-1021, July.
    16. Delarue, Erik & De Jonghe, Cedric & Belmans, Ronnie & D'haeseleer, William, 2011. "Applying portfolio theory to the electricity sector: Energy versus power," Energy Economics, Elsevier, vol. 33(1), pages 12-23, January.
    17. Arnesano, M. & Carlucci, A.P. & Laforgia, D., 2012. "Extension of portfolio theory application to energy planning problem – The Italian case," Energy, Elsevier, vol. 39(1), pages 112-124.
    18. Kemp, Alexander G. & Stephen, Linda, 1999. "Price, cost and exploration sensitivities of prospective activity levels in the UKCS: an application of the Monte Carlo technique," Energy Policy, Elsevier, vol. 27(13), pages 801-810, November.
    19. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    20. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    21. Emhjellen, Magne & Alaouze, Chris M., 2003. "A comparison of discounted cashflow and modern asset pricing methods--project selection and policy implications," Energy Policy, Elsevier, vol. 31(12), pages 1213-1220, September.
    22. Dey, Prasanta Kumar, 2006. "Integrated project evaluation and selection using multiple-attribute decision-making technique," International Journal of Production Economics, Elsevier, vol. 103(1), pages 90-103, September.
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    2. Hui Li & Renjin Sun & Wei-Jen Lee & Kangyin Dong & Rui Guo, 2016. "Assessing Risk in Chinese Shale Gas Investments Abroad: Modelling and Policy Recommendations," Sustainability, MDPI, vol. 8(8), pages 1-17, July.
    3. Chi Yong & Mu Tong & Zhongyi Yang & Jixian Zhou, 2023. "Conventional Natural Gas Project Investment and Decision Making under Multiple Uncertainties," Energies, MDPI, vol. 16(5), pages 1-30, February.

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