Buch, Englisch, 152 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 395 g
Risk Assessment with Bayesian Networks
Buch, Englisch, 152 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 395 g
ISBN: 978-0-367-25440-7
Verlag: Taylor & Francis
- Brings together basics of Bayesian theory, Bayesian Networks and applications of the same to process safety hazards and risk assessment in the oil and gas industry
- Presents sequence of steps for setting up the model, populating the model with data and simulating the model for practical cases in a systematic manner
- Includes a comprehensive list on sources of failure data and tips on modelling and simulation of large and complex networks
- Presents modelling and simulation of loss of containment of actual equipment in oil and gas industry such as Separator, Storage tanks, Pipeline, Compressor and risk assessments
- Discusses case studies to demonstrate the practicability of use of Bayesian Network in routine risk assessments
Zielgruppe
Professional and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
- Technische Wissenschaften Energietechnik | Elektrotechnik Technologien für Fossile Energieträger
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
- Wirtschaftswissenschaften Betriebswirtschaft Management
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
- Geowissenschaften Geologie Wirtschaftsgeologie
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Ölförderung, Gasförderung
Weitere Infos & Material
Introduction. Bayes Theorem, Causality and Building Blocks for Bayesian Networks. Bayesian Network for loss of Containment in Oil & Gas Separator. Bayesian Network for Loss of Containment in Hydrocarbon Pipelines. Bayesian Network for Loss of Containment in Hydrocarbon Storage Tank. The Jaipur Tank Farm Accident. Bayesian Network for Centrifugal Compressor Damage. Bayesian Network for Loss of Containment in Centrifugal Pump. Other related topics. References. Index.