Nurullia, Zahra Nadia
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DYNAMIC RBI WITH CENTRAL DIFFERENCE METHOD APPROACH IN CALCULATION OF UNIFORM CORROSION RATE: A CASESTUDY ON GAS PIPELINES Alviansyah, M.Riefqi Dwi; Hartoyo, Fernanda; Nurullia, Zahra Nadia; Kurniawan, Ari
Journal of Materials Exploration and Findings Vol. 1, No. 2
Publisher : UI Scholars Hub

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Abstract

The oil and gas industry generally uses a piping system to drain fluids. Even though the pipes used have been well designed, the use of pipes as a means of fluid transportation still provides the possibility of failure that can occur at any time, one of which is due to uniform corrosion. The use of standard Risk Based Inspection (RBI) according to the API RBI 581 document has been widely used to anticipate potential failures to pipe components. The use of standard RBI can reduce the risk of failure significantly. Because the standard RBI considers the component risk value to be constant, it causes an error in the component status assessment. It is unfortunate happen, if an industry fails due to an error in the inspection results, causing financial losses. This research will design dynamic RBI using thickness data of 12 PT.X inspection points in 5 inspection time intervals. The results showed that the dynamic RBI design that was compiled could provide real-time component condition status, capture fluctuations in the corrosion rate that occurred, and provide an accurate description of the actual component condition. RBI design makes inspection and maintenance planning more precise by reducing the frequency of redundant inspections and the possibility of inspection planning errors.
Development of Dynamic Risk-Based Inspection Using Forward Difference Approach for Pipe Failure Due to Uniform Corrosion Fatriansyah, Jaka Fajar; Nurullia, Zahra Nadia; Federico, Andreas; Priadi, Dedi
Journal of Materials Exploration and Findings Vol. 2, No. 1
Publisher : UI Scholars Hub

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Abstract

The oil and gas industry is one of the world's largest and most influential energy contributors. All aspects involved in the operation of this industry are fundamental to be reviewed and managed correctly, especially by preventing or minimizing the failures that could occur. Uniform corrosion is the most common component failure mechanism that can cause failure in the oil and gas industry. The company's actions in managing and preventing the risk of this type of failure have a major role in the sustainability of the company due to the possibility of more significant impacts if the risk cannot be handled well, such as high inspection and handling costs, environmental impacts, and threats to work safety. In this study, the Dynamic Risk-Based Inspection (DRBI) method, which is a development of Risk-Based Inspection (RBI), is implemented to handle and analyze risks that are managed in real-time at each inspection period. Risk level analysis was carried out through data processing related to pipe thickness from the risk profile from the inspection results in 5 months using Igor and Rstudio software and calculating corrosion rates using the forward difference approach. Based on the analysis results, five risk levels of pipeline failure at PT. X due to uniform corrosion using DRBI was obtained, consisting of two medium risks and three medium-high risks. In contrast, only one risk level was obtained from the RBI method, namely medium-high. The risk value fluctuates greatly every month, causing the DRBI method to have a higher level of accuracy and the ability to detect potential risks in more detail than the RBI method.