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All Journal Journal of Materials Exploration and Findings (JMEF)
Asral, Datu Rizal
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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.
Combined Risk Based Inspection and Fault Tree Analysis for Repetitive 3-Phase Line Piping Leakage at West Java Offshore Topside Facility Yuliati, Dona; Yuwono, Akhmad Herman; Asral, Datu Rizal; Dhaneswara, Donanta
Journal of Materials Exploration and Findings Vol. 2, No. 3
Publisher : UI Scholars Hub

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Hydrocarbon releases might result in serious consequences in various aspects. In addition to the contribution to environmental pollution, repetitive leakages need high repair costs. This study aim is to minimize potential repetitive leakage for other typical 3-phase piping systems. We conducted the risk assessment by adopting Risk Based Inspection (RBI) API 581 to identify risk level, calculating piping lifetime, recommended inspection plan and mitigations. The most relevant root causes can be obtained through quantitative Fault Tree Analysis (FTA). Observation and investigation was taken from eight 3-phase piping systems that experienced repetitive leakages. It has been found that the risk level of some piping systems in yellow and red areas with one pipe in an unfit condition. Next inspection and/or mitigation dates as results of RBI calculation shall be conducted to reduce risk levels and prevent leakage cases. FTA shows the most likely events are the sand problem in fluid, high CO2 content, material deficiency, and high fluid velocity. If the root causes are known earlier, preventive mitigation can be conducted to prevent hydrocarbon release in the other 3-phase piping systems, such as application of internal coating, injection corrosion inhibitor or inspection/monitoring program.
Study on Human Integrity Management System Maturity Level for Supporting Asset Integrity and Process Safety Implementation Sihotang, Anggiat M; Priadi, Dedi; Asral, Datu Rizal
Journal of Materials Exploration and Findings Vol. 3, No. 1
Publisher : UI Scholars Hub

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The human factors (HF) are recognized as one of critical process safety barriers involved in normal and abnormal conditions in the oil and gas industry. In order to strengthen the HF roles as barriers we need to ensure that the actions generated are based on a valid risk assessment of the operation to be addressed by a relevant human factor analysis. Organizations within the oil and gas process have made much progress in understanding and implementing HF improvement programs. However, organizations are not always clear about what are their current situations in managing HF, their priorities for HF to be improved or where they should focus in their future plans. The objectives of this paper are to develop and propose a model called the human integrity management system (HIMS) model and the way its maturity level (HIMS-ML) is measured in managing HF related to asset integrity (AI) and process safety (PS) implementation. It nowadays becomes something urgent to be implemented but also, importantly, to identify where future efforts and strategy need to be set-up used as basis for improving HF. The proposed HIMS model introduces 5-level scale to determine the level of maturity and includes 20 key elements mainly generated from Bow-Ties model and mapping alignment with the CCPS-risk based inspection process safety (CCPS-RBPS) where 46 expectations are developed to reflect key HF issues within the process safety management system to prevent and mitigate the major accident hazard (MAH) event. This paper describes the model and the method of assessment, illustrating its use with a case study in the 3 big oil and gas operators in Indonesia. Spider chart is used to reflect the results of the maturity assessment obtained based on the response given by the relevant key persons in the organization. It can be concluded that the proposed model appears to be an effective and useful tool to measure the maturity of HF management implementation in AI and PS operation, identify the gaps and propose improvement plans.
Co-Authors Akhmad Herman Yuwono Dedi Supriadi Dhaneswara, Donanta Digita, Farhan Rama Fatriansyah, Jaka Fajar Hartoyo, Fernanda Mas'ud, Imam Abdillah Ovelia, Hanna Sihotang, Anggiat M Yuliati, Dona