Current profile analysis and extreme value prediction in the LH11-1 oil field of the South China Sea based on prototype monitoring. (1st April 2018)
- Record Type:
- Journal Article
- Title:
- Current profile analysis and extreme value prediction in the LH11-1 oil field of the South China Sea based on prototype monitoring. (1st April 2018)
- Main Title:
- Current profile analysis and extreme value prediction in the LH11-1 oil field of the South China Sea based on prototype monitoring
- Authors:
- Liu, Ming
Wu, Wenhua
Tang, Da
Ma, Hongyan
Naess, Arvid - Abstract:
- Abstract: Current is a key ocean-environmental factor and exhibits strong non-stationary random characteristics. The complexities of current modeling present significant challenges for deep sea oil exploitation. The multiyear return period extreme current model is one of the key factors for the reliable design of marine structures. Recently, due to limitations of design specifications and guidelines, improved methods to predict extreme values for the South China Sea based on prototype monitoring are required. In contrast to the traditional extreme value analytical method, the newly developed Average Conditional Exceedance Rate (ACER) method is robust and shows good accuracy for estimations of ocean environmental loading. The method offers good reliability for short-term prototype monitoring data. This study performs multiyear return period extreme value prediction of the current profile based on prototype monitoring data collected in the Liuhua (LH11-1) oil field that was recorded by an in-situ monitoring system. The 1-year and 10-year return period current velocity design indexes were obtained using the ACER method. The present current velocity profiles of multi-year return periods were compared with two design current load indexes of two floating platforms in Liuhua area. The consistency with comparison to TLP platform design indexes shows that the ACER method provides the accuracy and flexibility of the results needed in the construction of current load models in theAbstract: Current is a key ocean-environmental factor and exhibits strong non-stationary random characteristics. The complexities of current modeling present significant challenges for deep sea oil exploitation. The multiyear return period extreme current model is one of the key factors for the reliable design of marine structures. Recently, due to limitations of design specifications and guidelines, improved methods to predict extreme values for the South China Sea based on prototype monitoring are required. In contrast to the traditional extreme value analytical method, the newly developed Average Conditional Exceedance Rate (ACER) method is robust and shows good accuracy for estimations of ocean environmental loading. The method offers good reliability for short-term prototype monitoring data. This study performs multiyear return period extreme value prediction of the current profile based on prototype monitoring data collected in the Liuhua (LH11-1) oil field that was recorded by an in-situ monitoring system. The 1-year and 10-year return period current velocity design indexes were obtained using the ACER method. The present current velocity profiles of multi-year return periods were compared with two design current load indexes of two floating platforms in Liuhua area. The consistency with comparison to TLP platform design indexes shows that the ACER method provides the accuracy and flexibility of the results needed in the construction of current load models in the South China Sea. These results could provide the basis and reference for the design of offshore structure. Highlights: Extreme values of the current profile in the LH11-1 oil field of the South China Sea have been analyzed and predicted. To overcome the defects of traditional methods, the ACER method was applied to predict the extreme current profile. A pre-processing was developed and combined with the ACER method to reduce the uncertainty in numerical calculation. Two comparisons between prediction and design indexes of multiyear return values were made for design verifications. … (more)
- Is Part Of:
- Ocean engineering. Volume 153(2018)
- Journal:
- Ocean engineering
- Issue:
- Volume 153(2018)
- Issue Display:
- Volume 153, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 153
- Issue:
- 2018
- Issue Sort Value:
- 2018-0153-2018-0000
- Page Start:
- 60
- Page End:
- 70
- Publication Date:
- 2018-04-01
- Subjects:
- South China Sea -- Current -- Profile characteristic -- Prototype monitoring -- ACER -- Extreme prediction
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2018.01.064 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21513.xml