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UiS Brage
Master thesis . 2022
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Classifying Complexity in Oil and Gas Brownfield Projects

Authors: Ibrahim, David;

Classifying Complexity in Oil and Gas Brownfield Projects

Abstract

It is widely recognized that research regarding complexity in projects has been inspired by Baccarini through his publication in 1996. Since then, research on this topic has been developing to other areas such as healthcare, IT, military, manufacturing, engineering, construction, and more. From theory point of view, the topic has also been researched in relation to various theories such as organization theory, PMI (Project Management Institute) view, system theory, complexity theory, among others. Interestingly, there is currently still no agreement among the researchers regarding the definition of complexity itself. Despite of this fact, studying complexity is important and will potentially improve project management practices, including in brownfield projects, where research has not much been pursued. Brownfield projects are important in securing sustained energy supply, as well as in realizing the transformation within the energy industry. This master’s thesis explores complexity in large oil and gas modification projects and aims to classify the complexity encountered by the individuals participating in such projects. A new framework for classifying project complexity is proposed by implementing grounded theory methodology over the data gathered through interviews and observations.

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Norway
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green