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Journal of Australian Energy Producers
RESEARCH ARTICLE

Why are decisions for oil and gas projects not always made the way they ‘should’ be?

David Newman A B , Steve Begg A and Matthew Welsh A
+ Author Affiliations
- Author Affiliations

A Australian School of Petroleum, The University of Adelaide, SA 5005, Australia.

B Corresponding author. Email: newpoms@westnet.com.au

The APPEA Journal 58(1) 130-158 https://doi.org/10.1071/AJ17106
Submitted: 24 November 2017  Accepted: 18 January 2018   Published: 28 May 2018

Abstract

The outcomes of many business decisions do not live up to expectations or possibilities. A literature review of neuroscience and psychological factors that affect decision making has been undertaken, highlighting many reasons why it is hard for people to be good decision makers, particularly in complex and uncertain situations such as oil and gas projects.

One way to diminish the impact of these human factors is to use the structured methodology and tools of Decision Analysis, which have been developed and used over 50 years, for making good decisions. Interviews with senior personnel from oil and gas operating companies, followed up by a larger-scale survey, were conducted to determine whether or how Decision Analysis and Decision Quality are used and why they are used in particular ways.

The results showed that Decision Analysis and Decision Quality are not used as often as the participants think they should be; some 90% of respondents believed that they should be used for key project decisions, but only ~50% said that they are used.

Six propositions were tested for why Decision Analysis and Decision Quality are not used more, and the following three were deemed to be supported:

• Decision Analysis and Decision Quality are not well understood.

• There is reliance on experience and judgment for decision-making.

• Projects are schedule-driven.

Further research is proposed to determine the underlying causes, and tackle those, with the aim being to improve business outcomes by determining how to influence decision makers to use Decision Analysis and Decision Quality more effectively.

Keywords: biases, decision analysis, decision gate, decision-gated framework, decision making, decision quality, emotional tagging, experience, heuristics, interview, intuition, judgment, neuroscience, outcome, pattern recognition, prediction, premortem, psychology, rational, survey.

David Newman is presently undertaking a PhD from The University of Adelaide, researching decision making for oil and gas projects. He has a BSc in Aeronautical Engineering from Bristol University and an MSc for research on airships from Loughborough University. He has 35 years of experience in the oil and gas industry, working for Shell and Woodside in a variety of project, operations and business roles. This includes managing projects and running a decision-making framework for opportunities and projects. He is a Member of the Institution of Mechanical Engineers (UK), a Chartered Engineer, and a Member of the Society of Decision Professionals.

Steve Begg is Professor and former Head of the Australian School of Petroleum at the University of Adelaide, where his focus is on decision-making under uncertainty, including psychological and judgmental factors, and asset and portfolio economic evaluation. Prior to joining the University in 2002, Steve spend 19 years in the oil and gas industry: Director of Decision Science and Strategic Planning for Landmark Corp; a variety of senior geo-science and engineering operational assignments for BP Exploration; and as a reservoir characterisation researcher and project manager with BP Research. He has twice been an SPE Distinguished Lecturer on decision-making and uncertainty assessment topics and was commissioned by the SPE to coauthor a book, Making Good Decisions. He was recently elected to the Board of the Society of Decision Professionals and in 2016 received the SPE’s International Award for the Management and Information discipline. He holds a PhD degree in Geophysics and a BSc degree in Geological Geophysics from Reading University.

Matthew Welsh has a BA(Hons) in Philosophy, a Graduate Certificate in Education (Higher) and a BSc(Hons) and PhD in Psychology, from the University of Adelaide. He is employed as Senior Research Fellow in the Improved Business Performance Group at the Australian School of Petroleum, where he has worked for the past 14 years, conducting applied research focussing on the psychological aspects of decision making and the impact that these can have on the accuracy of forecasts and, thus, outcomes. This includes work on individual differences in decision-making ability and the design of elicitation support tools to aid estimation in the oil industry and defence. Matthew is a current member of Cognitive Science Society and Association for Psychological Science and has written more than 40 papers for psychology journals and industry outlets. He has been an invited Discussion Leader at an SPE Forum on Risk Mitigation and Uncertainty Management and presented work at psychology, engineering, geology and geophysics conferences worldwide.


References

Begg, S. H., Bratvold, R. B., and Campbell, J. M. (2003). ‘Shrinks Or Quants: Who Will Improve Decision-Making.’ Society of Petroleum Engineers.10.2118/84238-MS

Bergado, J. A., Lucas, M., and Richter-Levin, G. (2011). Emotional tagging: a simple hypothesis in a complex reality. Progress in Neurobiology 94, 64–76.
Emotional tagging: a simple hypothesis in a complex reality.Crossref | GoogleScholarGoogle Scholar |

Bilalić, M., Langner, R., Erb, M., and Grodd, W. (2010). Mechanisms and neural basis of object and pattern recognition: a study with chess experts. Journal of Experimental Psychology. General 139, 728–742.
Mechanisms and neural basis of object and pattern recognition: a study with chess experts.Crossref | GoogleScholarGoogle Scholar |

Bratvold, R. B., and Begg, S. H. (2010). ‘Making Good Decisions.’ (Society of Petroleum Engineers: TX, USA.)

Brown, R. V. (1970). Do managers find decision theory useful. Harvard Business Review 48, 78.

Brusman, M. (2017). ‘The Brain Science of Bad Decisions.’ Available at http://www.workingresources.com/professionaleffectivenessarticles/the-brain-science-of-bad-decisions.html [Accessed 10 July 2017].

Budson, A. E., and Price, B. H. (2005). Memory dysfunction. New England Journal of Medicine 352, 692–699.
Memory dysfunction.Crossref | GoogleScholarGoogle Scholar |

Burton, R. A. (2008). ‘On Being Certain: Believing You are Right Even When You’re Not.’ (St Martin’s Press: New York.)

Campbell, A., and Whitehead, J. (2010). How to test your decision-making instincts. The McKinsey Quarterly May, 1–4.

Campbell, A., Whitehead, J., and Finkelstein, S. (2009). Why good leaders make bad decisions. Harvard Business Review 87, 60–66.

Choi, B. C., and Pak, A. W. (2005). Peer reviewed: a catalog of biases in questionnaires. Preventing Chronic Disease 2, A13.

Crager, B. (2011). Structured offshore field development concept selection adds real value. Offshore 71, 58–59.

Davidson, L. B. (2001). ‘Practical Issues in Using Risk-Based Decision Analysis.’ Society of Petroleum Engineers. https://doi.org/10.2118/71417-MS

Esser, J. K. (1998). Alive and well after 25 years: a review of groupthink research. Organizational Behavior and Human Decision Processes 73, 116–141.
Alive and well after 25 years: a review of groupthink research.Crossref | GoogleScholarGoogle Scholar |

Finkelstein, S., Whitehead, J., and Campbell, A. (2009). How emotional tagging can push leaders to make bad decisions. Ivey Business Journal 73, 4–15.

Goodwin, P. (2004). ‘Decision Analysis for Management Judgment.’ (Wiley, John & Sons, Inc.)

Howard, R. A. (1966). ‘Decision Analysis: Applied Decision Theory.’ Fourth International Conference on Operational Research. (Wiley-Interscience.)

Howard, R. A. (1980). An assessment of decision analysis. Operations Research 28, 4–27.
An assessment of decision analysis.Crossref | GoogleScholarGoogle Scholar |

Howard, R. A. (1988). Decision analysis: practice and promise. Management Science 34, 679–695.
Decision analysis: practice and promise.Crossref | GoogleScholarGoogle Scholar |

Howard, R. (2007). The foundations of Decision Analysis revisited. In ‘Advances in Decision Analysis: from Foundations to Applications’. (Eds W. Edwards, R. F. Miles Jr and D. von Winterfeldt.) pp. 32–56. (Cambridge University Press: Cambridge, UK.)

Kahneman, D. (2011). ‘Thinking, Fast and Slow.’ (Farrar, Straus and Giroux: New York, NY.)

Kahneman, D., and Klein, G. (2009). Conditions for intuitive expertise: a failure to disagree. The American Psychologist 64, 515–526.
Conditions for intuitive expertise: a failure to disagree.Crossref | GoogleScholarGoogle Scholar |

Kahneman, D., and Klein, G. (2010). Strategic decisions: when can you trust your gut. The McKinsey Quarterly 13, 1–10.

Kahneman, D., Lovallo, D., and Sibony, O. (2011). Before you make that big decision. Harvard Business Review 89, 50–60.

Karakaya, E. (2012). ‘Perceived Value and Popularity of Decision Analysis Tools in Upstream Asset Valuations.’ (Society of Petroleum Engineers.)

Keeney, R. L. (1982). Decision analysis: an overview. Operations Research 30, 803.
Decision analysis: an overview.Crossref | GoogleScholarGoogle Scholar |

Keeney, R. L. (2004). Making better decision makers. Decision Analysis 1, 193–204.
Making better decision makers.Crossref | GoogleScholarGoogle Scholar |

Kida, T. E. (2009). ‘Don’t Believe Everything You Think: the 6 Basic Mistakes We Make in Thinking.’ (Prometheus Books.)

Klein, G. A. (1998). ‘Sources of Power: How People Make Decisions.’ (MIT Press: Cambridge, MA.)

Klein, G. (2007). Performing a Project Premortem. Harvard Business Review 85, 18–19.

Klein, G. A., Calderwood, R., and Clinton-Cirocco, A. (1986). Rapid Decision Making on the Fire Ground. In ‘Proceedings of the Human Factors and Ergonomics Society Annual Meeting’. (SAGE Publications.)

Koriat, A. (2000). The feeling of knowing: some metatheoretical implications for consciousness and control. Consciousness and Cognition 9, 149–171.
The feeling of knowing: some metatheoretical implications for consciousness and control.Crossref | GoogleScholarGoogle Scholar |

LeDoux, J. (2003). The emotional brain, fear, and the amygdala. Cellular and Molecular Neurobiology 23, 727–738.
The emotional brain, fear, and the amygdala.Crossref | GoogleScholarGoogle Scholar |

Lev, V., and Murphy, D. (2007). Analysis of Multi-Criteria Decision-Making Methodologies for the Petroleum Industry. In ‘International Petroleum Technology Conference’. https://doi.org/10.2523/IPTC-11765-MS

Loftus, E. F., and Loftus, G. R. (1980). On the permanence of stored information in the human brain. The American Psychologist 35, 409.
On the permanence of stored information in the human brain.Crossref | GoogleScholarGoogle Scholar |

Maril, A., Simons, J. S., Weaver, J. J., and Schacter, D. L. (2005). Graded recall success: an event-related fMRI comparison of tip of the tongue and feeling of knowing. NeuroImage 24, 1130–1138.
Graded recall success: an event-related fMRI comparison of tip of the tongue and feeling of knowing.Crossref | GoogleScholarGoogle Scholar |

Mattson, M. P. (2014). Superior pattern processing is the essence of the evolved human brain. Frontiers in Neuroscience 8, 265.
Superior pattern processing is the essence of the evolved human brain.Crossref | GoogleScholarGoogle Scholar |

McNamee, P., and Celona, J. (2005). ‘Decision Analysis for the Professional.’ (SmartOrg, Inc.)

Mitchell, D. J., Russo, J. E., and Pennington, N. (1989). Back to the future: temporal perspective in the explanation of events. Journal of Behavioral Decision Making 2, 25–38.
Back to the future: temporal perspective in the explanation of events.Crossref | GoogleScholarGoogle Scholar |

Nandurdikar, N. S., and Kirkham, P. M. (2012). ‘The Economic Folly of Chasing Schedules in Oil Developments and the Unintended Consequences of Such Strategies.’ (Society of Petroleum Engineers.) 10.2118/162878-MS

Nandurdikar, N. S., and Wallace, L. (2011). ‘Failure to Produce: an Investigation of Deficiencies in Production Attainment.’ (Society of Petroleum Engineers.) 10.2118/145437-MS

Neisser, U. and N. Harsch (1992). Phantom flashbulbs: False recollections of hearing the news about Challenger. In ‘Emory symposia in cognition, 4. Affect and accuracy in recall: Studies of ‘flashbulb’ memories (Eds E. Winograd and U. Neisser) pp. 9–31. (Cambridge University Press: New York, NY, US.)

Newman, D., Begg, S., and Welsh, M. (2016). Front end loading: misunderstood or misapplied? The APPEA Journal 56, 247–258.
Front end loading: misunderstood or misapplied?Crossref | GoogleScholarGoogle Scholar |

Preis, A., D. Burcham and B. Farrell (2014). ‘Spotlight on Oil and Gas Megaprojects.’ Available at: http://www.ey.com/Publication/vwLUAssets/EY-spotlight-on-oil-and-gas-megaprojects/$FILE/EY-spotlight-on-oil-and-gas-megaprojects.pdf [Accessed 15 February 2018].

Richter-Levin, G., and Akirav, I. (2003). Emotional tagging of memory formation: in the search for neural mechanisms. Brain Research. Brain Research Reviews 43, 247–256.
Emotional tagging of memory formation: in the search for neural mechanisms.Crossref | GoogleScholarGoogle Scholar |

Spetzler, C. (1991). Improving the quality of management decisions. In ‘Planning Forum International Conference’, Toronto, Ontario, Canada.

Spetzler, C., Winter, H., and Meyer, J. (2016). ‘Decision Quality: Value Creation from Better Business Decisions.’ (John Wiley & Sons.)

Stanovich, K. E. (2011). ‘Rationality and the Reflective Mind.’ (Oxford University Press: New York, NY.)

Stockholm, G. (2011). Insight from hindsight: a practitioner’s perspective on a causal approach to performance improvement. Safety Science 49, 39–46.
Insight from hindsight: a practitioner’s perspective on a causal approach to performance improvement.Crossref | GoogleScholarGoogle Scholar |

Thomas, H. (1984). Strategic decision analysis: applied decision analysis and its role in the strategic management process. Strategic Management Journal 5, 139–156.
Strategic decision analysis: applied decision analysis and its role in the strategic management process.Crossref | GoogleScholarGoogle Scholar |

Tversky, A., and Kahneman, D. (1973). Availability: heuristic for judging frequency and probability. Cognitive Psychology 5, 207–232.
Availability: heuristic for judging frequency and probability.Crossref | GoogleScholarGoogle Scholar |

Tversky, A., and Kahneman, D. (1974). Judgment under uncertainty: heuristics and biases. Science 185, 1124–1131.
Judgment under uncertainty: heuristics and biases.Crossref | GoogleScholarGoogle Scholar |

Tversky, A., and Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science 211, 453–458.
The framing of decisions and the psychology of choice.Crossref | GoogleScholarGoogle Scholar |

Tversky, A., D. Kahneman and P. Moser (1990). Judgment under uncertainty: heuristics and biases. In ‘Rationality in Action: Contemporary Approaches’. pp. 171–188. (Cambridge University Press: New York, NY.)

Veinott, B., G. A. Klein and S. Wiggins (2010). Evaluating the effectiveness of the PreMortem technique on plan confidence. In ‘Proceedings of the 7th International ISCRAM Conference’ (May, 2010).

Walkup, G. W., and Ligon, B. J. (2006). The good, bad, and ugly of stage-gate project management process as applied in the oil and gas industry. In ‘SPE Annual Technical Conference’, San Antonio, Texas, USA. (Society of Petroleum Engineers.)

Whitfield, S. (2014). Taking a closer lok at why projects fail. Oil and Gas Facilities 3, 18–24.
Taking a closer lok at why projects fail.Crossref | GoogleScholarGoogle Scholar |

Wilson, T. (2002). ‘Strangers to Ourselves: Discovering the Adaptive Unconscious.’ (Harvard University Press: Cambridge, MA.)

Wilson, T. D., and Bar-Anan, Y. (2008). The unseen mind. Science 321, 1046–1047.
The unseen mind.Crossref | GoogleScholarGoogle Scholar |