2008 Joint Meeting of The Geological Society of America, Soil Science Society of America, American Society of Agronomy, Crop Science Society of America, Gulf Coast Association of Geological Societies with the Gulf Coast Section of SEPM

Paper No. 1
Presentation Time: 1:30 PM

Of P99's and Other Risk Management Urban Legends


HENNINGS, Dean R.1, GRIFFITH, Tom2 and MARTINDALE, Kevin2, (1)Anadarko Petroleum Corporation, 1201 Lake Robbins Drive, The Woodlands, TX 77380, (2)Risk Consistency Team, Anadarko Petroleum Corporation, 1201 Lake Robbins Drive, The Woodlands, 77380, dean.hennings@anadarko.com

We present several “urban legends” we have encountered in our role as explorers and internal risk consistency consultants to make some observations about some of the pressure points we see in the world of probabilistic estimation of resource potential.

We have all heard that explorationists tend to over-estimate the resource potential of their exploration prospects and portfolios. We present several years of exploration drilling results from a predecessor company to support this view. In the context of probabilistic estimating methods, we propose that this is primarily the result of overestimating the small end of the lognormal resource distribution. And, we make suggestions on what can be done to improve the accuracy of our pre-drill resource estimates.

Practitioners of probabilistic resource estimation understand that the resource potential of a given prospect is represented as a lognormally distributed range of possible outcomes, from P99 (small) to P1 (large). On a probit scale, this distribution is represented by a straight line. We have found that most estimating errors are created by over-estimating the P99 end of the resource range of possible outcomes. We present some data to support this contention and offer a theoretical model that explains why the P99 should be a very small number.

Finally, we discuss former Secretary of Defense Donald Rumsfeld's infamous “known knowns” quote and suggest that the statement perfectly encapsulates the world of risk and uncertainty in which we work.

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