Skip to main content
Log in

Optimal risk management problem of natural resources: application to oil drilling

  • S.I.: Networks and Risk Management
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

The aim of this paper is to determine the optimal balance between extraction and storage of a natural resource (in particular crude oil) over time under a large array of environmental, operational and financial constraints for an infinite maturity time. We consider a manager that owns an oil field from which he can extract oil and decides to sell or store it. This operational strategy has to be carried out in continuous time and has to satisfy physical, operational, environmental and financial constraints such as storage capacity, crude oil spot price volatility, amount available for possible extraction or maximum amount that could be invested at time t for the extraction choice. The costs of storage and extraction are also taken into account to better fit the real market scenario. We solve the optimization problem of the manager’s profit under this large array of constraints and provide an optimal strategy. We then examine different numerical scenarios to check the robustness and the corresponding optimal strategies given by our model, which is obtained by a numerical approach, with respect to different possible events related to the market, environmental policies or ecological constraints.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abid, I., Goutte, S., Mkaouar, F., & Guesmi, K. (2018). Optimal strategy between extraction and storage of crude oil. Annals of Operations Research (Forthcoming).

  • Alexandrov, M. D., Cairns, B., Emde, C., Ackerman, A. S., & van Diedenhoven, B. (2012). Accuracy assessments of cloud droplet size retrievals from polarized reflectance measurements by the research scanning polarimeter. Remote Sensing of Environment, 125, 92–111.

    Article  Google Scholar 

  • Behrens, A., Giljum, S., Kovanda, J., & Niza, S. (2007). The material basis of the global economy: Worldwide patterns of natural resource extraction and their implications for sustainable resource use policies. Ecological Economics, 64(2), 444–453.

    Article  Google Scholar 

  • Bensoussan, A. (1984). On the theory of option pricing. Acta Applicandae Mathematicae, 2, 139–158.

    Google Scholar 

  • Budhiraja, A., & Ross, K. (2007). Convergent numerical scheme for singular stochastic control with state constraints in a portfolio selection problem. SIAM Journal on Control and Optimization, 45(6), 2169–2206.

    Article  Google Scholar 

  • Butchart, S. H., Walpole, M., Collen, B., Van Strien, A., Scharlemann, J. P., Almond, R. E., et al. (2010). Global biodiversity: Indicators of recent declines. Science, 328(5982), 1164–1168.

    Article  Google Scholar 

  • Carmona, C., & Touzi, N. (2008). Optimal multiple stopping and valuation of swing options. Mathematical Finance, 18(2), 239–268.

    Article  Google Scholar 

  • De Palma, A., & Prigent, J.-L. (2008). Utilitarianism and fairness in portfolio positioning. Journal of Banking and Finance, 32, 1648–1660.

    Article  Google Scholar 

  • Glasserman, P. (2003). Monte Carlo methods in financial engineering. New York: Springer.

    Book  Google Scholar 

  • Gollier, C. (2001). The economics of risk and time. Cambridge, MA: The MIT Press.

    Book  Google Scholar 

  • Goutte, S., Kharroubi, I., & Lim, T. (2018). Optimal management of an oil exploitation. International Journal of Global Energy, 41, 69–85.

    Article  Google Scholar 

  • Hindy, A., Huang, C., & Zhu, H. (1993). Numerical analysis of a free-boundary singular control problem in financial economics. Journal of Economic Dynamics and Control, 21, 297–327.

    Article  Google Scholar 

  • Hotelling, H. (1931). The economics of exhaustible resources. Journal of Political Economy, 39, 137175.

    Google Scholar 

  • Huseby, A. B., & Haavardsson, N. F. (2009). Multi-reservoir production optimization. European Journal of Operations Research, 199(1), 236–251. https://doi.org/10.1016/j.ejor.2008.11.023.

    Article  Google Scholar 

  • Jaillet, P., Ronn, E. I., & Tompaidis, S. (2004). Valuation of commodity-based swing options. Management Science, 50, 909–921.

    Article  Google Scholar 

  • Jin, Z., Yin, G., & Zhu, C. (2012). Numerical solutions of optimal risk control and dividend optimization policies under a generalized singular control formulation. Automatica, 48(8), 1489–1501.

    Article  Google Scholar 

  • Kushner, H., & Dupuis, P. (2001). Numerical methods for stochstic control problems in continuous time. volume 24 of Stochastic modelling and applied probability, 2nd edn. New York: Springer

  • Krausmann, F., Gingrich, S., Eisenmenger, N., Erb, K. H., Haberl, H., & Fischer-Kowalski, M. (2009). Growth in global materials use, GDP and population during the 20th century. Ecological Economics, 68(10), 2696–2705.

    Article  Google Scholar 

  • Meinshausen, N., & Hambly, B. M. (2004). Monte Carlo methods for the valuation of multiple-exercise options. Mathematical Finance, 14, 557–583.

    Article  Google Scholar 

  • Tourinho, O. A. (1979). The option value of reserves of natural resources. Research program in Finance Working Paper Series No. 94, Institute of Business and Economic Research. Berkeley CA: University of California, Berkeley.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stéphane Goutte.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gaïgi, M., Goutte, S., Kharroubi, I. et al. Optimal risk management problem of natural resources: application to oil drilling. Ann Oper Res 297, 147–166 (2021). https://doi.org/10.1007/s10479-019-03303-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-019-03303-1

Keywords

JEL Classification

Navigation