Predicting Risks Associated with Offshore Production Facilities: Neural Network, Statistical, and Expert Opinion Models.

1999 ◽  
Author(s):  
J.R. Shultz ◽  
P. Fischbeck
Keyword(s):  
Neural Network ◽  
Expert Opinion ◽  
Offshore Production ◽  
Production Facilities

Reliability Analysis of Offshore Production Facilities Under Arctic Conditions Using Reliability Data From Other Areas

2014 ◽  
Vol 136 (2) ◽  
Author(s):  
Abbas Barabadi
Keyword(s):  
Reliability Analysis ◽  
High Stress ◽  
Arctic Region ◽  
Accelerated Failure Time Model ◽  
The Arctic ◽  
Reliability Data ◽  
Essential Information ◽  
Offshore Production ◽  
The Arctic Region ◽  
Production Facilities

The development of offshore energy resources involves highly complex and extensive technological processes. Reliability evaluation of offshore production facilities provides essential information in the design and operation phase. Historical reliability data play an important role in reliability analysis, and as such data reflect the effect of influencing factors that production facilities have experienced during their life cycle. Due to there being less offshore activity in the Arctic region compared with other areas, there is a lack of data and little experience available regarding operational equipment. In contrast to the Arctic region, oil and gas companies have a lot of experience and information related to the design and operation of offshore production facilities in the other parts of the world. Using this type of data and information, collected from similar systems but under different operational conditions, in design processes for the Arctic region may lead to incorrect design. This may increase health, safety, and environmental (HSE) risk or operating and maintenance costs. This paper develops a methodology for the application of the accelerated failure time model (AFT) to predict the reliability of equipment to be used in the Arctic region based on the available data. In the methodology used here, the available data is assumed to reflect the behavior of the equipment under low stress conditions, and using the AFT models the reliability of equipment in the Arctic environment, which represents high stress, is predicted. An illustrative example is used to demonstrate how the methodology can be applied in a real case.

Damage to offshore production facilities by corrosive microbial biofilms

2018 ◽  
Vol 102 (6) ◽  
pp. 2525-2533 ◽  
Author(s):  
Adrien Vigneron ◽  
Ian M. Head ◽  
Nicolas Tsesmetzis
Keyword(s):  
Microbial Biofilms ◽  
Offshore Production ◽  
Production Facilities

Maintenance Integrity: Managing Flange Inspections on Aging Offshore Production Facilities

2011 ◽  
Author(s):  
R. M. Chandima Ratnayake ◽  
S. M. S. M. K. Samarakoon ◽  
Tore Markeset
Keyword(s):  
Risk Perception ◽  
Preventive Maintenance ◽  
Historical Data ◽  
Pipeline System ◽  
Production Facility ◽  
Inspection Planning ◽  
Offshore Production ◽  
Considerable Portion ◽  
Operating Company ◽  
Production Facilities

The flange inspection associated with piping on offshore production facilities is a time-consuming activity as the flanges should physically be opened in order to perform close visual inspections. In order to sustain maintenance integrity, a number of inspections are allocated for a subsystem based on factors such as: condition of the medium flowing in the line, risk perception of the pipeline system, and the date of installation. Inspection teams recommend inspections based on the data, experience, and exposure to offshore production facilities, as well as the intuition and intentions of those individuals involved with inspection planning and with carrying out implementation during the preventive maintenance shutdowns. However, there is a tendency for the operating company representatives to raise queries with the contractor company representatives about the number of flanges to be opened during the preventive maintenance shutdown as flange inspection consumes a considerable portion of time and resources. Hence, it is vital to interpret sensibly the importance of recommending close visual inspections for flanges if the maintenance integrity is to be sustained. This study focuses on analyzing the historical data limited to flanges on flowlines over the last fifteen years. The final results provide a snapshot of the present status of the flanges of the production facility.

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