1887
Volume 36 Number 10
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

The age old problem of underperformance in petroleum exploration is directly related to over-optimistic evaluations of the size of undrilled prospects. Although the assessment of geological risk in proven plays is usually not a problem, the chance of economic success is generally much lower than predicted by companies as a consequence of the deficit in expected volumes. An EAGE workshop held in Copenhagen in June 2018 addressed this issue and one of the outcomes was the recommendation that prospect evaluations are more closely linked to historical data, particularly on the downside size of discoveries.

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2018-10-01
2024-04-24
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References

  1. Binns, P. and Corbett, P.
    [2012]. Risk and uncertainty from frontier to production – a review.First Break, 30, 57–64.
    [Google Scholar]
  2. Blystad, P. and Søndena, E.
    [2005]. Exploration history on the Norwegian Continantal Shelf, 1990–2002: expectations and results. In: Doré, A.G. and Vining, B.A. (Eds.), Petroleum Geology: North-West Europe and Global Perspectives – Proceedings of the 6th Petroleum Geology Conference, Geological Society, London, 63–68.
    [Google Scholar]
  3. Bond, M. and Carragher, P.D.
    [2018]. Addressing the causes of uncalibrated predictions and underperformance in oil and gas ventures. Workshop 15, 80th EAGE Conference & Exhibition, Extended Abstract and Slides.
    [Google Scholar]
  4. Brown, M.L., Fosvold, L, Garza, A.J. and Cook, D.M.
    [2000]. A look to the past to avoid old traps in the future. In: Ofstad, K, Kittelsen, J.E. and Alexander-Marrack, P. (Eds.), Improving the Exploration Process by Learning from the Past, Proceedings of the Norwegian Petroleum Society Conference.Norwegian Petroleum Society Special Publications, 9, 9–14.
    [Google Scholar]
  5. Chellingsworth, L., Bentley, M., Kane, P., Milne, K. and Rowbotham, P.
    [2011]. Human limitations on hydrocarbon resource estimates – why we make mistakes in data rooms.First Break, 29, 49–57.
    [Google Scholar]
  6. Dickson, M.
    [2018]. North Sea exploration performance – how have we done? And what’s next? Workshop 15, 80th EAGE Conference & Exhibition, Extended Abstract and Slides.
    [Google Scholar]
  7. Fosvold, L., Thomsen, M., Brown, M., Kullerud, L., Ofstad, K. and Heg-gland, K.
    , 2000. Volumes before and after exploration drilling: results from the project: Evaluation of Norwegian Wildcat Wells (Article 2). In: Ofstad, K, Kittelsen, J.E. and Alexander-Marrack, P. (Eds.), Improving the Exploration Process by Learning from the Past, Proceedings of the Norwegian Petroleum Society Conference. Norwegian Petroleum Society Special Publications, 9, 33–46.
    [Google Scholar]
  8. Harper, F.G.
    [2000]. Prediction accuracy in petroleum prospect assessment: a 15 year retrospective in B P. In: Ofstad, K., Kittelsen, J.E. and Alexan-der-Marrack, P. (Eds.), Improving the Exploration Process by Learning from the Past, Proceedings of the Norwegian Petroleum Society Conference. Norwegian Petroleum Society Special Publications, 9, 15–21.
    [Google Scholar]
  9. Keith, G.
    [2018]. Overconfidence and optimism in the oil industry: surfacing systematic biases and distortions in probabilistic practice.Workshop 15, 80th EAGE Conference & Exhibition, Extended Abstract and Slides.
    [Google Scholar]
  10. Loizou, N.
    [2005]. West of Shetland exploration unravelled – an indication of what the future may hold.First Break, 23, 9–15.
    [Google Scholar]
  11. Meulengracht, C.S.
    [2018]. The oil industry is notoriously poor at prediction - modern software is partly to blame: debate opposer’s speech.Workshop 15, 80th EAGE Conference & Exhibition 2018, Extended Abstract and Slides.
    [Google Scholar]
  12. Milkov, A.V.
    [2015]. Risk tables for less biased and more consistent estimation of probability of geological success (PoS) for segments with conventional oil and gas prospective resources.Earth Science Reviews, 150, 453–476.
    [Google Scholar]
  13. [2017]. Integrate instead of ignoring: base rate neglect as a common fallacy of petroleum explorers, AAPG Bulletin, 101, 1905–1916.
    [Google Scholar]
  14. [2018]. Exploration success equation.Workshop 15, 80th EAGE Conference & Exhibition, Extended Abstract and Slides.
    [Google Scholar]
  15. Myers, K.
    [2018]. Analogue play statistics for improved pre-drill risking: North Sea case study.Workshop 15, 80th EAGE Conference & Exhibition, Extended Abstract and Slides.
    [Google Scholar]
  16. Ofstad, K., Kullerud, L. and Helliksen, D.
    , 2000a. Evaluation of Norwegian Wildcat Wells (Article 1). In: Ofstad, K., Kittelsen, J.E. and Alexan-der-Marrack, P. (Eds.), Improving the Exploration Process by Learning from the Past, Proceedings of the Norwegian Petroleum Society Conference. Norwegian Petroleum Society Special Publications, 9, 23–31.
    [Google Scholar]
  17. Ofstad, K., Øvretveit, A., Kullerud, L. and Heggland, K.
    , 2000b. Probability of discovery and the reasons for dry wells: results from the project: Evaluation of Norwegian Wildcat Wells (Article 3). In: Ofstad, K., Kittelsen, J.E. and Alexander-Marrack, P. (Eds.), Improving the Exploration Process by Learning from the Past, Proceedings of the Norwegian Petroleum Society Conference.Norwegian Petroleum Society Special Publications, 9, 47–55.
    [Google Scholar]
  18. Quirk, D.G. and Ruthrauff, R.G.
    [2006]. Analysis of reserves discovered in petroleum exploration.Journal of Petroleum Geology, 29, 125–146.
    [Google Scholar]
  19. Quirk, D.G. & Ruthrauff, R.G.
    [2008]. Toward consistency in petroleum exploration: A systematic way of constraining uncertainty in prospect volumetrics.AAPG Bulletin, 92, 1263–1291.
    [Google Scholar]
  20. Quirk, D.G., Howe, M.J. and Archer, S.J.
    [2017]. Yet-to-find in play analysis: a combined deterministic-probabilistic method of estimating undiscovered hydrocarbon resources.Journal of Petroleum Geology, 40, 217–248
    [Google Scholar]
  21. Quirk, D.G.
    [2018]. The oil industry is notoriously poor at prediction - modern software is partly to blame: Debate proposer’s speech.Workshop 15, 80th EAGE Conference & Exhibition, Extended Abstract and Slides.
    [Google Scholar]
  22. Rose, P.R.
    [1987]. Dealing with risk and uncertainty: How can we improve?AAPG Bulletin, 71, 1–16.
    [Google Scholar]
  23. Rudolph, K.W. and Goulding, F.J.
    [2017]. Benchmarking exploration predictions and performance using 20+ years of drilling results: one company’s experience: AAPG Bulletin, 101, 161–176.
    [Google Scholar]
  24. Sluijk, D. and Parker, J.R.
    [1986]. Comparison of predrilling predictions with postdrilling outcomes usng Shell’s Prospect Appraisal System. In: Rice, D.D. (Ed.), Oil and Gas Assessment – Method and Applications, AAPG Studies in Geology, 2, 55–58.
    [Google Scholar]
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