Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/87710
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Type: Conference paper
Title: Human decision-making in the oil and gas industry
Author: Mackie, S.I.
Begg, S.H.
Smith, C.
Welsh, M.B.
Citation: SPE Asia Pacific Oil and Gas Conference and Exhibition 2010, APOGCE 2010, 2010 / vol.1, pp.117-124
Publisher: Society of Petroleum Engineers
Issue Date: 2010
ISBN: 9781555633110
Conference Name: SPE Asia Pacific Oil and Gas Conference and Exhibition 2010 (APOGCE 2010) (18 Oct 2010 - 20 Oct 2010 : Brisbane, Queensland)
Statement of
Responsibility: 
S.I. Mackie, and S.H. Begg, C. Smith, and M.B. Welsh
Abstract: Business under-performance 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 current decision-making tools and processes and their relationship with 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 matching 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. It is argued that maximizing the chances of a good outcome in real world decisions requires the implementation of such matching. Comparing a "real world?? decision-making model used by the upstream oil and gas industry with a theoretical model yields various prescriptions for optimal decision-making. Further implications are examined in relation to a variety of oil and gas decisions by documenting both a definition of decision types as well as guidelines to what decision-making processes should be used with what decision types. The paper looks at a comparison between what tools and processes companies are now using for some of the decision types and compare these with what they should be using in order to lead to optimal decision-making.
Description: Document ID SPE-131144-MS
Rights: Copyright 2010, Society of Petroleum Engineers
RMID: 0030007679
DOI: 10.2118/131144-MS
Appears in Collections:Australian School of Petroleum publications

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