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Hartoyo, Fernanda
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The Optimization Of Failure Risk Estimation On The Uniform Corrosion Rate With A Non-Linear Function Hartoyo, Fernanda; Fatriansyah, Jaka Fajar; Mas'ud, Imam Abdillah; Digita, Farhan Rama; Ovelia, Hanna; Asral, Datu Rizal
Journal of Materials Exploration and Findings Vol. 1, No. 1
Publisher : UI Scholars Hub

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Failures in the oil and gas pipeline system are conditions that must be avoided and anticipated because the losses due to the failures can occur at a very high level. Internal corrosion is one of the significant causes of the failures in pipeline systems. In addition, this type of corrosion is due to the high content of carbon dioxide and other corrosive substances in crude oil and natural gas. Therefore, an optimal inspection scheduling system is required to prevent the possibility of pipeline failures due to corrosion and to avoid any overspending on the budget due to excessive inspection scheduling. Risk-based testing (RBI) is one of the best methods to define a test planning system by using an optimal risk assessment. In this article, a Monte Carlo random number generator is applied by using a huge number of random iterations to approximate the actual risk value of a pipeline system with a limited sample at the scene. The nonlinear corrosion rate function is used for comparison with the commonly used linear corrosion rate function based on ASTM G-16 95. Once a risk value is estimated, the value is monitored based on an assessment of the risk matrix for each corrosion rate function by using the RBI method. The results show that the nonlinear corrosion rate function provides a more accurate approach to estimating the actual risk value and ultimately leads to an optimal inspection planning system.
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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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.
Co-Authors Alviansyah, M.Riefqi Dwi ARI KURNIAWAN Asral, Datu Rizal Digita, Farhan Rama Fatriansyah, Jaka Fajar Mas'ud, Imam Abdillah Nurullia, Zahra Nadia Ovelia, Hanna