2004Journal of Quality in Maintenance EngineeringRequires access

Risk‐based maintenance model for offshore oil and gas pipelines: a case study

Prasanta Kumar Dey, Stephen O. Ogunlana, Sittichai Naksuksakul

Open publisher page 96 citations

Abstract

Offshore oil and gas pipelines are vulnerable to environment as any leak and burst in pipelines cause oil/gas spill resulting in huge negative impacts on marine lives. Breakdown maintenance of these pipelines is also cost‐intensive and time‐consuming resulting in huge tangible and intangible loss to the pipeline operators. Pipelines health monitoring and integrity analysis have been researched a lot for successful pipeline operations and risk‐based maintenance model is one of the outcomes of those researches. This study develops a risk‐based maintenance model using a combined multiple‐criteria decision‐making and weight method for offshore oil and gas pipelines in Thailand with the active participation of experienced executives. The model's effectiveness has been demonstrated through real life application on oil and gas pipelines in the Gulf of Thailand. Practical implications. Risk‐based inspection and maintenance methodology is particularly important for oil pipelines system, as any failure in the system will not only affect productivity negatively but also has tremendous negative environmental impact. The proposed model helps the pipelines operators to analyze the health of pipelines dynamically, to select specific inspection and maintenance method for specific section in line with its probability and severity of failure.

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What this paper is about

Offshore oil and gas pipelines are vulnerable to environment as any leak and burst in pipelines cause oil/gas spill resulting in huge negative impacts on marine lives. Breakdown maintenance of these pipelines is also cost‐intensive and time‐consuming resulting in huge tangible and intangible loss to the pipeline operators. Pipelines health monitoring and integrity analysis have been researched a lot for successful pipeline operations and risk‐based maintenance model is one of the outcomes of those researches. This study develops a risk‐based maintenance model using a combined multiple‐criteria decision‐making and weight method for offshore oil and gas pipelines in Thailand with the active participation of experienced executives. The model's effectiveness has been demonstrated through real life application on oil and gas pipelines in the Gulf of Thailand. Practical implications. Risk‐based inspection and maintenance methodology is particularly important for oil pipelines system, as any failure in the system will not only affect productivity negatively but also has tremendous negative environmental impact. The proposed model helps the pipelines operators to analyze the health of pipelines dynamically, to select specific inspection and maintenance method for specific section in line with its probability and severity of failure.

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OpenAlex reports 96 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Offshore oil and gas pipelines are vulnerable to environment as any leak and burst in pipelines cause oil/gas spill resulting in huge negative impacts on marine lives. Breakdown maintenance of these pipelines is also cost‐intensive and time‐consuming resulting in huge tangible and intangible loss to the pipeline operators. Pipelines health monitoring and integrity analysis have been researched a lot for successful pipeline operations and risk‐based maintenance model is one of the outcomes of those researches. This study develops a risk‐based maintenance model using a combined multiple‐criteria decision‐making and weight method for offshore oil and gas pipelines in Thailand with the active participation of experienced executives. The model's effectiveness has been demonstrated through real life application on oil and gas pipelines in the Gulf of Thailand. Practical implications. Risk‐based inspection and maintenance methodology is particularly important for oil pipelines system, as any failure in the system will not only affect productivity negatively but also has tremendous negative environmental impact. The proposed model helps the pipelines operators to analyze the health of pipelines dynamically, to select specific inspection and maintenance method for specific section in line with its probability and severity of failure.

Key concepts: Pipeline transport, Submarine pipeline, Pipeline (software), Engineering, Petroleum engineering, Risk analysis (engineering), Fossil fuel, Productivity

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