Course Description:

Quantitative risk assessment (QRA) is a valuable tool for assessing and managing risks. The technique provides a structured and quantifiable approach to risk analysis, enabling organizations to make accurately informed decisions and prudently manage process risks. QRA can be used to inform every aspect of process risk management, including: site selection and layout, process and safety system design, emergency planning, spacing requirements for installations, process deviation control, fire protection design, gas detection layout, and emergency isolation measures, among others.

The course would include tasks and world examples relevant for practice, delivered in an interactive and engaging approach.

The course design is structured and guided with clear expectations, coupled with knowledge validation aligned with outcome.

Course Objectives:

By the end of the course, the participant will be able to:

1. Understand the Quantitative Risk Assessment methodology
2. Recognize the difference between hazard, risk and risk assessment
3. Learn how to evaluate different types of risk
4. Develop a strategy for planning and implementing risk reduction action plans
5. Understand the human factors and errors identification/classification
6. Know Human error and accident causation (latent and active errors)

7.       Practice practical application, case studies on Quantitative risk assessment How to prepare and implement action plans.

Course Outline:

1.       Major Disasters Oil & Gas industries accidents

2.       Accident / Incident

3.       Major Incident example

4.       Hazard and risk concepts

5.       Major Process Hazards

6.       Risk Issues

7.       Risk Perception

8.       Risk analysis and Risk Assessment

9.       Risk Assessment Process

10.    Qualitative and Quantified Risk Assessment

11.    Risk Tolerability Criteria

12.    As Low as Reasonably Practicable (ALARP)

13.    Cost Benefit Analysis

14.    Information Gathering

15.    Establishing base assumptions.

16.    Ensuring alignment with corporate constraints on databases, and use of approved models

17.    Establishing rule-set requirements and agreeing i-ole sets where practical, aligned with corporate requirements;

18.    Establishing data

19.    Complete QRA templates

20.    Detailed framing of the QRA

1.       Boundaries & objectives

2.       Techniques, models and data

3.       Key assumptions & Rule Sets

4.       Process, including sensitivity studies

21.    Detailed approach to QRA

22.    Listing of incidents and incident outcomes

23.    Estimating Consequences and Frequencies

24.    Using QRA matrix

25.    Decision Criteria and Risk Estimation

26.    Demonstrate Results

27.    Method of presentation and interpretation

28.    Location Specific Individual Risk (LSIR), or Risk Contours

29.    Individual Risk Per Annum (IRPA)

30.    Potential Loss of Life (PLL) Curves

31.    Sensitivity Analysis

32.    Comparison with Risk Tolerability Criteria (RTC)

33.    Risk Reduction and ALARP Demonstration