Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study
Access Status
Open access
Authors
Khabbaz Beheshti, Behrouz
Date
2019Supervisor
Moses Tade
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Science and Engineering
School
WA School of Mines: Minerals, Energy and Chemical Engineering
Collection
Abstract
In this research, the application of Artificial Intelligence and knowledge engineering, automation of equipment arrangement design, automation of piping and support design, using machine learning to automate the stress analysis, and finally, using information modelling to shift ‘field weld locating’ activity from the construction to the design phase were investigated. The results of integrating these methods on case studies, to increase the safety in the lifecycle of process plants were analysed and discussed.