1887
25th International Conference and Exhibition – Interpreting the Past, Discovering the Future
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

There is much confusion in the conceptualisation and application of Chance of Success (COS) Predictions in oil and gas exploration. Although the basic statistical underpinnings of COS predictions are not mathematically complicated, in practice, there appear to be significant difficulties. The consequences of this in many cases include misplaced expectations and hence morale problems from results of exploration which fall outside expectations. In reality, commercial exploration success rates worldwide range from 3040%. So, there is more pain than not in our industry with the unfolding of expectations. As a result of this, companies have many times reacted in a knee jerk fashion to ‘correct’ their course which sometimes results in restructuring exploration teams and also changing the course of exploration. Much of the misunderstandings appear to arise from the fact that most small companies are involved in limited trials campaigns where budgets allow the drilling of only a handful of wells over 1-5 years. Realistic COS’ can only be based on expectations related to drilling a statistically significant large number of wells. In this paper the vagaries of the actual unfolding of exploration results are simulated using MS Excel software’s Random Number Generator function. Despite the intrinsic difficulty of not being able to guarantee any specific success, it will be shown how companies can choose the COS range they should be involved in to enable sustainable growth over the longer term.

All the concepts and thoughts presented here are those of the author’s and do not necessarily represent the author’s employer Cue Energy’s views on this matter.

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/content/journals/10.1071/ASEG2016ab150
2016-12-01
2026-01-14
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References

  1. Rose, P., 2001, Risk Analysis and Management of Petroleum Exploration Ventures. AAPG Methods in Exploration Series, No. 12 Uncertainty and Risk Analysis in Petroleum Exploration and Production
  2. Kaufman. G.M., September 1992, Statistical Issues in the Assessment of Undiscovered Oil and Gas Resources
  3. Newendorp, P., Schuyler, J., 2000, Decision analysis for petroleum exploration: Aurora, Colorado, Planning Press, 2nd ed., 606 p.
  4. Harbaugh, J.W., Doveton, J.H., Davis, J.C., 1977, Probability methods in oil exploration: New York, John Wiley, 269 p.
  5. M.T. Bradshaw, C.B. Foster, M.E. Fellow, D.C. Rowland. - The Australian Search for Petroleum: Patterns of Discovery’ AGSO - 1999
  6. Geoscience Australia 2006 Oil & Gas Statistics Richmond Energy Partners- Exploration Performance 2009-14
  7. The Good, the Bad, the Unfortunate. Finding Petroleum - June 2014
/content/journals/10.1071/ASEG2016ab150
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  • Article Type: Research Article
Keyword(s): binomial; chance; Exploration; failure; prediction; random; statistics; success
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