Qualitative Analysis of Process Hazard for Hydro-treatment of Base Oils Using Combination of HAZOP and Network Analysis

Modi, Siddharth; Srinivasarao, Meka; Snigdha, Thummapalli; Gupta, Tcsm

doi:10.2139/ssrn.3707567

Cited by 2 publications

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“…However, these seven MECOPME variabilities are necessary and sufficient to explain major deviations leading to faults and subsequent safety issues in CPI. The background information and some preliminary work on the hydrogenation of heavy base oils can be accessed through our past work. − …”

Section: Background and Novel Contributionsmentioning

confidence: 99%

“…In the present work, a simplified version of the fault tree for an overtemperature scenario (OTS) from the hydrogenation of heavy base oil is considered for demonstration. The details of the process flow diagram, equipment list, specifications, and safety analysis using HAZOP and the Bayesian network for hydrogenation of heavy base oil can be accessed through the literature. − Figure is the fault tree of a chemical system having two flexible nodes due to the presence of component variability. The basic events (* X 5 ) and (* X 8 ) are two flexible nodes as they have the provision for interchangeable temperature sensors leading to multiple failure possibilities.…”

Section: Graphical Mapping and Uncertainty Modelingmentioning

confidence: 99%

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Uncertainty Modeling of a Chemical System with a Flexible Node by Mapping the Fault Tree into the Response Surface Method

Modi

Srinivasarao

Gupta

et al. 2023

Ind. Eng. Chem. Res.

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This paper elaborates three novel contributions in the field of chemical process safety. The first contribution is the identification and classification of chemical system variabilities into seven broad categories, namely, media, equipment, component, operator, procedural, management, and external (MECOPME). The identified variabilities lead to epistemic and aleatory types of uncertainties in the probabilistic safety analysis. To deal with the uncertainties caused due to the variabilities, a concept of the flexible node is proposed, which demands a failure probability in the flexible range of a lower level to a higher level instead of a fixed static probability. Since the existing techniques are not robust enough to handle the probability range, the classical fault tree is mapped into a statistically more reliable approach of the response surface method (RSM). The unique idea of using RSM in the failure analysis is demonstrated over the fault tree of an overtemperature scenario in a semipilot scale setup for the hydrogenation process and successfully evaluated over an industrial accident of the release prevention barrier scenario. The contour and surface plots of RSM reveal more information than the traditional approach of minimal cut sets. The statistical markers of RSM are a better substitute for the improvement index for sensitivity analysis. The proposed approach deals with chemical system variabilities and the lack of knowledge of exact occurrence probabilities more effectively.

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Section: Background and Novel Contributionsmentioning

confidence: 99%