The paper reviews past progress in the development of methods and models for process
safety and risk management and highlights the present research trends; also it outlines the …

Process safety and risk analysis have paramount significance in the modern process
industries for preventing fatalities and asset and reputation loss due to an accident. Hence …

In recent years, the global demand for liquefied natural gas (LNG) as an energy source is
increasing at a very fast rate. In order to meet this demand, a large number of facilities such …

A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system
(CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales …

As an effective risk assessment method, layer of protection analysis (LOPA) is widely used in
the evaluation of protection measures, ie., independent protection layers (IPLs). However …

This study proposed a fuzzy-based HAZOP for analyzing process hazards. Fuzzy theory was
used to express uncertain states. This theory was found to be a useful approach to …

Preliminary hazard analysis (PHA) is an effective method to identify and evaluate hazards in
a system. Then, prevention measures can be set according to assessment results. However …

Tunnels are artificial underground spaces that provide a capacity for particular goals such as
storage, under-ground transportation, mine development, power and water treatment plants …

A novel safety integrity levels (SILs) determination methodology based on multiphase
dynamic Bayesian networks (MDBNs) for safety instrumented systems is proposed. Proof …

The fuzziness and randomness are significant epistemic uncertainty within the qualitative
categorization of the two critical factors, the frequency and severity, which are not fully …