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contributor authorMarc A. Maes
contributor authorJeff Sinclair
contributor authorDavid B. Lewis
date accessioned2017-05-09T00:17:32Z
date available2017-05-09T00:17:32Z
date copyrightFebruary, 2005
date issued2005
identifier issn0892-7219
identifier otherJMOEEX-28259#52_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132459
description abstractThe present paper describes the key steps and issues involved in performing a quantitative risk analysis (QRA) for a dynamically positioned (DP) offshore vessel that is used to perform a short-term production test (PT) in North Atlantic deep waters. The basic approach is to focus on the “incremental” risk that would occur if the PT were run from a DP vessel as opposed to a fixed structure. The analysis is structured around two basic groups of risk: those specifically associated with DP vessel disconnection decisions and activities (all of which are seasonal), and those occurring during normal operation of the DP vessel. In the case of disconnection caused by hazards such as severe weather, ice, equipment or reference system malfunction, or human/operating error, a large variety of event sequences is assumed, each resulting in different consequences and risks. These are formulated for each analysis outcome in terms of loss of life, release of chemicals into the environment, and damage and loss of assets and equipment, as well as overall failure cost. It is shown that the QRA provides a very useful basis for optimal decision making with respect to the feasibility, the planning, and the risk/benefit of deep-water production testing from a DP vessel.
publisherThe American Society of Mechanical Engineers (ASME)
titleRisk Analysis of Running a Deep-Water Production Test From a Dynamically Positioned Vessel in the North Atlantic
typeJournal Paper
journal volume127
journal issue1
journal titleJournal of Offshore Mechanics and Arctic Engineering
identifier doi10.1115/1.1854706
journal fristpage52
journal lastpage58
identifier eissn1528-896X
keywordsVessels
keywordsWater
keywordsNorth Atlantic Ocean
keywordsRisk analysis
keywordsIce
keywordsFailure AND Oceans
treeJournal of Offshore Mechanics and Arctic Engineering:;2005:;volume( 127 ):;issue: 001
contenttypeFulltext


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