Astfalck, LC, Cripps, EJ, Gosling, JP orcid.org/0000-0002-4072-3022 et al. (2 more authors) (2018) Expert Elicitation of Directional Metocean Parameters. Ocean Engineering, 161. pp. 268-276. ISSN 0029-8018
Abstract
Probability distributions that describe metocean conditions are essential for design and operational decision making in offshore engineering. When data are insufficient to estimate these distributions an alternative is expert elicitation – a collection of techniques that translate personal qualitative knowledge into subjective probability distributions. We discuss elicitation of surface currents on the Exmouth Plateau, North-Western Australia, a region of intense oil and gas drilling and exploration. Metocean and offshore engineering experts agree that surface currents on the plateau exhibit large spatio-temporal variation, and that recorded observations do not fully capture this variability. Combining such experts' knowledge, we elicit the joint distribution of magnitude and direction by first focusing on the marginal distribution of direction, followed by the conditional distribution of magnitude given direction. Although we focus on surface currents, the direction/magnitude components are common to many metocean processes. The directional component complicates the problem by introducing circular probability distributions. The subjectivity of elicitation demands caution and transparency, and this is addressed by embedding our method into the established elicitation protocol, the Sheffield Elicitation Framework. The result is a general framework for eliciting metocean conditions when data are insufficient to estimate probabilistic summaries.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier Ltd. This is an author produced version of a paper published in Ocean Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Expert elicitation; Directional elicitation; Metocean; Exmouth plateau; Surface currents |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jun 2018 11:12 |
Last Modified: | 25 May 2019 00:41 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.oceaneng.2018.04.047 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132293 |