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Articles by R. Rusli
Total Records ( 3 ) for R. Rusli
  H. Abdul Aziz , A. Mohd Shariff , P.S. Zawiyah and R. Rusli
  A common threat in all major incidents is the complexity of process plant operation. Thus, clear written standard operating method must be compiled and comprehend to ensure safe operation when performing any related activities. One of the establish standards that addressed the above issue is Operating Procedures (OP) of OSHA Process Safety Management (PSM) 29 CFR 1910.119(f). This study presents OP implementation technique that could fulfill the 29 CFR 1910.119(f) requirements. It provides organized strategies to manage documentations and communicate information and written program for maintaining, revising and updating process procedure and safe work information. Piping and Instrumentation Diagram (P and ID) is used as a foundation for data management. The developed technique has been transformed to computer database prototype known as Operating Procedures Management System (OPrMAS) which articulately demonstrate the concept. Implementation of this technique could help employers manage and control hazards of process plant and compliance with PSM regulation.
  N. Abdul Wahab , R. Rusli and A. Mohd Shariff
  Human factors have been identified as one of the major root causes to most catastrophic incidents in processing industries. However, the estimation of failure probabilities due to human factors with time; in other words, the ability to learn from the process history has received little attention. In this study, a hybrid methodology is developed which combines a conventional Swiss Cheese model with Bayesian theory to predict the failure probabilities by human factors. Accident sequence precursor data within a period of interval time is utilized to generate the dynamic mode. This methodology is then applied to offshore safety assessment study. The result shows that the failure probabilities of human factors can be predicted for the desired time interval. It is proven that the approach has the ability to learn from process history and act as a predictive tool that provide early warnings toward human deficiency. A robust action plan can then be taken to enhance the overall human performance and ultimately to reduce the likelihood of major incidents.
  H.H.P.L. Pham , R. Rusli and M.Z. Abdullah
  Carbon Capture and Storage (CCS) is an alternative for decreasing greenhouse gas (GHG) emissions by removing carbon dioxide (CO2) from power plants. Accidental discharges from CCS plant will result in a release of dense CO2 gas cloud to the ambience at high concentration which becomes a dominated threat to human health. However, there is a knowledge gap in assessing the release of CO2 via pipeline leakage. Thus, it is necessary to develop an accurate consequence model for CO2 release in order to demonstrate a safe layout and other safeguards. In this study, pure CO2 discharge and dispersion have been detailed out using a three-dimension model with presence of obstacles in a Computational Fluid Dynamics (CFD) software. The realizable κ-ε turbulence model was chosen for simulating the dispersion of pure CO2-air. A case study based on Kit Fox gas experiments of pure CO2 instantaneous release is developed to evaluate the discharge scenario. The results obtained from the model are compared with experimental data available in literatures and validation is achieved.
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