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Considering economic and geological uncertainty in the simulation of realistic investment decisions for CO2-EOR projects in the North Sea

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  • Welkenhuysen, Kris
  • Rupert, Jort
  • Compernolle, Tine
  • Ramirez, Andrea
  • Swennen, Rudy
  • Piessens, Kris

Abstract

The use of anthropogenic CO2 for enhancing oil recovery from mature oil fields in the North Sea has several potential benefits, and a number of assessments have been conducted. It remains, however, difficult to realistically simulate the economic circumstances and decisions, while including the economic uncertainties that surround the relevant markets and policies, and the geological and technological uncertainties that are inherent to dealing with reservoirs and novel technologies in a challenging environment. A new method is proposed here introducing a unique combination of innovations, that include true limited foresight, project flexibility, and the consideration of realistic investment risk. The value of project is here expressed as the Net Present Value (NPV). These elements are combined in the PSS IV simulator. This is a techno-economic simulator for CO2-enhanced oil recovery (CO2-EOR), which applies limited foresight and Real Options Analysis to make realistic investment decisions on projects with significant uncertainties and thus risk. Consecutive project decisions are taken based on a decision tree. Multiple oil fields can be approached as a single cluster project, which can provide a lower investment hurdle. In a first test case for PSS IV, the Claymore and Scott oil fields are assessed, and it is shown that economic simulations where EOR projects are regarded as a sum of the individual field assessments will undervalue projects. Simulation results show that results are in a realistic range compared to published numbers, with individual project values for the Claymore field on average of 15.8€/barrel (bbl; standard deviation SD=8.3) and for the Scott field of 14.3€/bbl (SD=8.6). Due to the inclusion of uncertainties and the application of limited foresight, results range from −6€/bbl (loss) to over 30€/bbl. In a cluster configuration 5€/bbl of additional value is created.

Suggested Citation

  • Welkenhuysen, Kris & Rupert, Jort & Compernolle, Tine & Ramirez, Andrea & Swennen, Rudy & Piessens, Kris, 2017. "Considering economic and geological uncertainty in the simulation of realistic investment decisions for CO2-EOR projects in the North Sea," Applied Energy, Elsevier, vol. 185(P1), pages 745-761.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p1:p:745-761
    DOI: 10.1016/j.apenergy.2016.10.105
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    1. ., 2016. "Monetary integration in Europe," Chapters, in: The International Monetary System and the Theory of Monetary Systems, chapter 23, pages 228-244, Edward Elgar Publishing.
    2. Scott Mathews & Vinay Datar & Blake Johnson, 2007. "A Practical Method for Valuing Real Options: The Boeing Approach," Journal of Applied Corporate Finance, Morgan Stanley, vol. 19(2), pages 95-104, March.
    3. Kemp, Alexander G. & Kasim, Sola, 2012. "The Economics of CO2-EOR Cluster Developments in the UK Central North Sea/ Outer Moray Firth," SIRE Discussion Papers 2012-21, Scottish Institute for Research in Economics (SIRE).
    4. Weber, Thomas A., 2014. "On the (non-)equivalence of IRR and NPV," Journal of Mathematical Economics, Elsevier, vol. 52(C), pages 25-39.
    5. Klokk, Ø. & Schreiner, P.F. & Pagès-Bernaus, A. & Tomasgard, A., 2010. "Optimizing a CO2 value chain for the Norwegian Continental Shelf," Energy Policy, Elsevier, vol. 38(11), pages 6604-6614, November.
    6. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    7. Höök, Mikael & Aleklett, Kjell, 2008. "A decline rate study of Norwegian oil production," Energy Policy, Elsevier, vol. 36(11), pages 4262-4271, November.
    8. Vladimir Alvarado & Eduardo Manrique, 2010. "Enhanced Oil Recovery: An Update Review," Energies, MDPI, vol. 3(9), pages 1-47, August.
    9. ., 2016. "Comparisons with other European Capitals of Culture," Chapters, in: Urban Strategies for Culture-Driven Growth, chapter 8, pages 135-158, Edward Elgar Publishing.
    10. Keppo, Ilkka & Strubegger, Manfred, 2010. "Short term decisions for long term problems – The effect of foresight on model based energy systems analysis," Energy, Elsevier, vol. 35(5), pages 2033-2042.
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