DECISION TYPE—A KEY TO REALISING THE POTENTIAL OF DECISION MAKING UNDER UNCERTAINTY

Business underperformance in the upstream oil and gas industry, and the failure of many decisions to return expected results, has led to a growing interest over the past few years in understanding the impacts of decision-making tools and processes and their relationship to decision outcomes. A primary observation is that different decision types require different decision-making approaches to achieve optimal outcomes. Optimal decision making relies on understanding the types of decisions being made and tailoring the type of decision with the appropriate tools and processes. Yet the industry lacks both a definition of decision types and any guidelines as to what tools and processes should be used for what decisions types. We argue that maximising the chances of a good outcome in real-world decisions requires the implementation of such tailoring.

[1]  R. Bratvold,et al.  Improving Investment Decisions Using a Stochastic Integrated Asset Model , 2001 .

[2]  R. Keeney Building models of values , 1988 .

[3]  Gerd Gigerenzer,et al.  How to Improve Bayesian Reasoning Without Instruction: Frequency Formats , 1995 .

[4]  Paul C. Nutt,et al.  A taxonomy of strategic decisions and tactics for uncovering alternatives , 2001, Eur. J. Oper. Res..

[5]  Peter Goode,et al.  CONNECTING WITH THE RESERVOIR , 2002 .

[6]  Peter R. Rose,et al.  Dealing with Risk and Uncertainty in Exploration: How Can We Improve? , 1987 .

[7]  C D Buckingham,et al.  Classifying clinical decision making: interpreting nursing intuition, heuristics and medical diagnosis. , 2000, Journal of advanced nursing.

[8]  D. Hantula Sources of Power: How People Make Decisions , 2001 .

[9]  Ralph L. Keeney Building models of values , 1989 .

[10]  J. R. Schuyler Best Practices in Project Evaluation and Influence on Company Performance , 1997 .

[11]  Steven A. Gabriel,et al.  Interdependencies Among E&P Projects and Portfolio Risk Management , 1999 .

[12]  P. Watson A PROCESS FOR ESTIMATING GEOLOGICAL RISK OF PETROLEUM EXPLORATION PROSPECTS , 1998 .

[13]  Albert Boonstra,et al.  An empirical taxonomy of IS decision-making processes , 2004 .

[14]  R. Hastie Problems for judgment and decision making. , 2001, Annual review of psychology.

[15]  Gerd Gigerenzer,et al.  How to Make Cognitive Illusions Disappear , 2002 .

[16]  James L. Corner,et al.  Perspective on Decision Analysis Applications, 1990 - 2001 , 2004, Decis. Anal..

[17]  C D Buckingham,et al.  Classifying clinical decision making: a unifying approach. , 2000, Journal of advanced nursing.

[18]  C. Bishop The MIT Encyclopedia of the Cognitive Sciences , 1999 .

[19]  J. N. Breunese,et al.  Best Practices and Methods in Hydrocarbon Resource Estimation, Production and Emissions Forecasting, Uncertainty Evaluation and Decision Making , 2000 .

[20]  Simon French,et al.  Decision Making: Descriptive, Normative, and Prescriptive Interactions , 1990 .

[21]  R N Shepard,et al.  Multidimensional Scaling, Tree-Fitting, and Clustering , 1980, Science.

[22]  R. Duncan Luce,et al.  Individual Choice Behavior: A Theoretical Analysis , 1979 .

[23]  R. Shepard Representation of structure in similarity data: Problems and prospects , 1974 .

[24]  D. Bernoulli Specimen theoriae novae de mensura sortis : translated into German and English , 1967 .

[25]  Reidar Brumer Bratvold,et al.  Would You Know a Good Decision if You Saw One , 2009 .

[26]  Bruce D'Ambrosio,et al.  Taxonomy for classifying engineering decision problems and support systems , 1995, Artif. Intell. Eng. Des. Anal. Manuf..

[27]  M. Bazerman Judgment in Managerial Decision Making , 1990 .

[28]  Margaret Armstrong,et al.  COMPARISON OF THREE METHODS FOR EVALUATING OIL PROJECTS , 1999 .

[29]  Ray W. Cooksey Pursuing an integrated decision science:does ‘naturalistic decision making’ help or hinder? , 2001 .