{"title":"Mooring Line Failure Detection in the Absence of Load Monitoring","authors":"M. Naciri, M. Viola, Z. Wang, R. Yam","doi":"10.1115/omae2022-79591","DOIUrl":null,"url":null,"abstract":"\n Mooring Integrity Management (MIM) is a key operational aspect for FPSO operators, mooring system designers and Recognized Classification Societies (RCS). MIM programs should include the capability to detect a mooring line failure. When direct or indirect measurement of line tension is available continuously and reliably over time, this requirement can be readily fulfilled. Current industry-wide experience shows it has been challenging to develop robust cost-effective real-time anchor line load monitoring systems for the offshore environment. To remedy this situation, Artificial Intelligence (AI) techniques are used to extract an intact or damage diagnosis for a spread moored unit offshore Brazil based on data readily available in situ. The Intelligent Agent (IA) developed has been reviewed by the Classification Society against Ref. [1] and [2]. Following this review a statement of maturity has been issued Ref. [3] qualifying the new technology.","PeriodicalId":23502,"journal":{"name":"Volume 1: Offshore Technology","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 1: Offshore Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/omae2022-79591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mooring Integrity Management (MIM) is a key operational aspect for FPSO operators, mooring system designers and Recognized Classification Societies (RCS). MIM programs should include the capability to detect a mooring line failure. When direct or indirect measurement of line tension is available continuously and reliably over time, this requirement can be readily fulfilled. Current industry-wide experience shows it has been challenging to develop robust cost-effective real-time anchor line load monitoring systems for the offshore environment. To remedy this situation, Artificial Intelligence (AI) techniques are used to extract an intact or damage diagnosis for a spread moored unit offshore Brazil based on data readily available in situ. The Intelligent Agent (IA) developed has been reviewed by the Classification Society against Ref. [1] and [2]. Following this review a statement of maturity has been issued Ref. [3] qualifying the new technology.