Utilising Advanced Digital Technologies to Provide Automated Drilling Riser Fatigue Tracking to Support Condition Based Maintenance

2021 ◽  
Author(s):  
Paul Bohan ◽  
Donogh Lang ◽  
Dara Williams
Keyword(s):  
Digital Technologies ◽  
Condition Based Maintenance ◽  
Support Condition

Utilising Advanced Digital Technologies to Provide Automated Drilling Riser Fatigue Tracking to Support Condition Based Maintenance

2020 ◽  
Author(s):  
Paul Bohan ◽  
Donogh Lang ◽  
Dara Williams
Keyword(s):  
State Of The Art ◽  
Tracking System ◽  
Digital Technologies ◽  
Element Model ◽  
Condition Based Maintenance ◽  
Support Condition ◽  
Actual Usage ◽  
Inspection And Maintenance ◽  
Traditional Industry

Abstract The traditional industry approach to drilling riser joint inspection and maintenance has centered on recertification of riser joints at fixed five-yearly intervals. There are significant potential efficiencies to be gained from moving to a condition-based maintenance regime where inspection intervals are determined based on the actual usage of the riser joint. One of the critical factors driving the requirement for inspection is the fatigue damage sustained by the riser joint during use. This paper describes a unique drilling riser joint fatigue tracking system that uses the latest digital technologies, advanced automation processes and a state-of-the-art finite element model of the drilling riser to provide an accurate and efficient solution to the challenge of long-term riser joint fatigue tracking. The architecture and operation of the system is described in detail and the application of a fracture mechanics-based approach to fatigue calculation versus the traditional S-N curve-based approach is discussed.

Decision Making in the Choice of Condition-Based Maintenance Techniques in a Subsidiary of a Petrochemical Company

2019 ◽  
pp. 344-363
Author(s):  
María Carmen Carnero-Moya ◽  
Francisco Javier Cárcel-Carrasco
Keyword(s):  
Vibration Analysis ◽  
Industry 4.0 ◽  
Business Models ◽  
Digital Technologies ◽  
Condition Based Maintenance ◽  
Industrial Plant ◽  
Petrochemical Plant ◽  
Lubricant Analysis ◽  
Maintenance Techniques ◽  
Petrochemical Company

Condition-based maintenance (CBM) may be considered an essential part of the Industry 4.0 environment because it can improve production processes through the use of the latest digital technologies, which allows improvements to products, processes, and business models. Nonetheless, despite this importance, there are no models or methodologies in the literature to assist in choosing predictive techniques and the level of complexity to be used in a given organization. This chapter describes a model for choosing the most suitable CBM technique to be introduced in a subsidiary of a petrochemical plant. The predictive techniques of vibration analysis, lubricant analysis, and a combination of the two were considered at three technological levels. The model was built using the measuring attractiveness by a categorical based evaluation technique (MACBETH) approach. The present model could avoid failures in these programmes when making decisions about the techniques and technologies most suited to the characteristics of the industrial plant.

Latinos Challenging Deficit Discourses: Circulating Languages, Literacies and Practices with Digital Technologies

2010 ◽  
Author(s):  
Ivan Games ◽  
Cecilia Henriquez ◽  
Danny Martinez ◽  
Theresa McGinnis ◽  
Silvia Nogueron ◽  
...  
Keyword(s):  
Digital Technologies ◽  
Deficit Discourses
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