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Decision Framework for Well Delivery Processes - Application of Analytical Methods to Decision Making


A major portion of unproduced oil and gas resources are located in deep-water areas, often at sea level depths between 1500 and 3000 metres. Development of these fields with conventional technology necessitates increasing costs mainly due to the higher rig- and equipment specification needed. Conventional technology normally implies using a 21"" marine riser and a 18 3/4"" blowout preventer (BOP) that require heavy rig systems for handling and storage. Larger and more costly rigs in combination with longer time spent on the drilling and completion operations are the main contributions to the increasing cost. Thus, new solutions for cost-effective drilling and completion of deep-water wells have emerged during the recent years as alternatives to conventional technology. Among these new solutions are the big-bore well concepts that are focused on in this thesis. On the other hand, uncertainty is usually connected to application of new technology. Uncertainty relates both to operational aspects, as well as to the expected production availability of finalized wells. Field development by using a big-bore well concept requires that the expected production rate relies on fewer wells compared to typical conventional well design. Thus, uncertainty needs to be considered carefully, as part of the decision basis. Given the above challenges, decision makers are seeking appropriate methods and tools to support well engineering and the related decision processes. By combining methods within the area of risk analysis and decision analysis, the relevant properties and characteristics of alternative solutions are linked to the important requirements and decision criteria. Special attention is made to decision-making in project teams, or groups as result of a process. This kind of decision-making is interpreted as the decision process in the current thesis. The main objective of the PhD project has been to develop a decision framework for deep-water well engineering adapted to the nee


Academic monograph




  • SINTEF Digital / Software Engineering, Safety and Security




The Royal Society of Chemistry





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