F
Faisal Khan
Researcher at Memorial University of Newfoundland
Publications - 785
Citations - 28657
Faisal Khan is an academic researcher from Memorial University of Newfoundland. The author has contributed to research in topics: Risk assessment & Risk analysis. The author has an hindex of 70, co-authored 705 publications receiving 21281 citations. Previous affiliations of Faisal Khan include Royal Hobart Hospital & Australian Maritime College.
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Monitoring of down-hole parameters for early kick detection
TL;DR: In this article, the authors present an experimental study to investigate the occurrence of a kick based on the changes in mass flow rate, pressure, density, and conductivity of the fluid in the downhole.
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TOPHAZOP: a knowledge-based software tool for conducting HAZOP in a rapid, efficient yet inexpensive manner
Faisal Khan,Shahid Abbas Abbasi +1 more
TL;DR: The tool for OPTmizing HazOP (TOPHAZOP) as discussed by the authors is a knowledge-based software tool for hazard and operability analysis in chemical process industry, which can reduce the requirement of expert man-hours and speed up the work of the study team.
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Explosion modeling and analysis of BP Deepwater Horizon accident
TL;DR: In this article, a computational fluid dynamics (CFD) model was used to simulate the dispersion of flammable gas and integrated with the explosion consequences, and it was determined that the overpressure in the engine room and in highly congested areas of the platform are 1.7 and 0.8 bar, respectively.
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An integrated approach for risk‐based life cycle assessment and multi‐criteria decision‐making: Selection, design and evaluation of cleaner and greener processes
Rehan Sadiq,Faisal Khan +1 more
TL;DR: An integrated methodology for process design to guide decision making under uncertainty by combining life cycle assessment (LCA) with multi‐criteria decision‐making tools is proposed.
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Assessing offshore emergency evacuation behavior in a virtual environment using a Bayesian Network approach
TL;DR: The use of a virtual environment to measure behavioral indicators, which in turn can be used as proxies to assess otherwise unobservable person-based PIFs like MMA, are described.