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The two-factor price process in optimal sequential exploration

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  • Babak Jafarizadeh
  • Reidar Bratvold

Abstract

In a group of exploration prospects with common geological features, drilling a well reveals information about chances of success in others. In addition, oil prices vary during the exploration campaign and with them so do the economics of wells and the optimal decision to drill. With these dependencies and price dynamics, where do we drill first and what comes next given success or failure in previous wells? The solution to this valuation problem should compare the value of learning (drilling wells that provide valuable information) with the uncertain value of earning (drilling wells that have large payoffs, yet uncertain). We calculate a joint distribution for geological outcomes by applying information-theoretic methods and construct a two-dimensional binomial sequence to represent a two-factor stochastic price process. We then propose a Markov decision process that solves the optimal exploration problem. An Excel® VBA software implementation of this algorithm accompanies this paper.

Suggested Citation

  • Babak Jafarizadeh & Reidar Bratvold, 2021. "The two-factor price process in optimal sequential exploration," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(7), pages 1637-1647, July.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:7:p:1637-1647
    DOI: 10.1080/01605682.2020.1740619
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    Cited by:

    1. Noshchenko, Olga & Hagspiel, Verena, 2024. "Environmental and economic multi-objective real options analysis: Electrification choices for field development investment planning," Energy, Elsevier, vol. 295(C).

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