Resilience evaluation of prefractionation section (SBAA refinery) integrating FRAM & BN
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Date
2023-07-11
Journal Title
Journal ISSN
Volume Title
Publisher
20 AUGUST 1955 SKIKDA UNIVERSITY: FACULTY OF TECHNOLOGY (DEPARTMENT PROCESS ENGINEERING)
Abstract
This dissertation aims to evaluate the resilience of the pre-fractionation section in the Adrar
Sbaa refinery by integrating the Functional Resonance Analysis Method (FRAM) and Bayesian
Networks (BN). FRAM provides a comprehensive understanding of system functions,
variability, and interdependencies, while the BN offers a probabilistic framework for capturing
dependencies and making inferences. The research focuses on developing a FRAM model and
then converting it to a Bayesian Network model to quantify the resilience of system reliability.
The methodology includes data collection, analysis, and synthesis, with a sensitivity analysis to
assess the models' robustness. The integrated approach allows for a holistic assessment of the
section's adaptive capabilities and recovery potential, facilitating informed decision-making and
resilience planning.