European Master and Certification Program
in Risk Engineering and Management

II
Asset/Plant Oriented Risk Management

Course code: 136471 (MOD)
Language of instruction: English
Duration of the course: 15 days (135h)
Lecturers: Dr.-Ing. Jörg Michael Bareiß (EnBW AG), MA Svetozar Eremić (NIS Gasprom Neft Refinery Pancevo), Prof. Dr.-Ing. Karl Maile (Steinbeis Advanved Risk Technologies GmbH), Prof. Dr. Aleksandar S. Jovanovic (Steinbeis Advanced Risk Technologies GmbH), Michael Renner (Asset & Corrosion Management Consultancy)
Assessment: Written Exam Transfer Paper [optional topic for Project Study Paper]
Credit points: 8 CPs

Short description

Three optional compulsory courses compose the second module. The asset and plant oriented risk management firstly introduces principles of Risk Based Inspection in petrochemical and power generation industries dealing with the most important risk-based approaches in line with the main standard documents, such as API RP 580 and API 581. The courses about RBI offer a state-of-the-art knowledge on methods and tools applied. Second, the module discusses methodologies for decision-making processes in maintenance and accident prevention. These are well illustrated by a number of instances from different industries.

Objectives

The main goal of the module is to provide deeper insight and knowledge into the three main areas relevant for the main topic of the module. These are

  • the principles of asset and plant oriented risk management,
  • application details of the asset and plant oriented risks management.

This si done for the topics of

  • Risk Based Inspection (RBI) in petrochemical and power generation industries dealing with the most important risk-based approaches in line with the main standard documents, such as API RP 580 and API 581. The courses about RBI offer a state-of-the-art knowledge on methods and tools applied.
  • Reliability Centered Maintenance (RCM) and Root Cause Failure Analysis (RCFA) as methodologies used for logical decision-making process for analysis and definition of the equipment maintenance requirements, as well as for accident prevention. The focus of the course is on the damage mechanisms appearing in different industries. A large number of well elaborated examples is included. Finally, the module discusses methodologies for decision-making processes in maintenance and accident prevention. These are well illustrated by a number of instances from different industries.

The skill which the participants will master by the end of the course are primarily related to the use of the modern tools for performing the RBI/RCM/RCFA analysis in the daily practice of industrial plants, primarily in power and petrochemical industry, with the final goal to optimize asset management decisions related to:

  • Run
  • Repair
  • Replace

i.s. the so-called 3R-decision. The ability and qualification to make this decision will be the main competence acquired by the successful attendees of this module.

Course Content by Units

 

Petrochemical plants

Unit 1: Risk, sources of risk, risk identification, risk perception
Unit 2: Introduction to the qualitative assessment approach
Workshop: Application of expert assessment and AHP on risk assessment of refinery components
Unit 3: API 581 Qualitative approach
Unit 4: Modeling of consequences and Release modeling
Unit 5: Likelihood assessment –statistical and API581 approach
Unit 6: Inspections and inspection effectiveness
Unit 7: Risk Based Inspection planning and inspection results evaluation
Case Study: Application of the results of RBI analysis on decision-making

Power plants:

Unit 1: Risk, sources of risk, risk identification, risk perception
Unit 2: Introduction to the qualitative assessment approach
Workshop: Application of expert assessment and AHP on risk assessment of power plant components
Unit 3: Introduction to the quantitative and semi-quantitative risk assessment
Unit 4: Modeling of consequences – qualitative and expert approach
Workshop: Assessment of different scenarios for power plant components
Unit 5: Modeling of consequences – quantitative approaches
Unit 6: Likelihood assessment –statistical and API581 approach
Unit 7: Likelihood assessment – physical modeling based on damage mechanisms
Unit 8: Basic Damage mechanisms
Unit 9: Inspections and inspection effectiveness
Unit 10: Defects and their probability of detection
Unit 11: Risk Based Inspection planning and inspection results evaluation

Specific areas of the RCM/RCF analysis.

Teaching Methods

Each course includes the following materials distributed to the participants:

  • introductory note explaining aim and structure of the course, and used methodology as well
  • ex cathedra lecturing illustrated by number of examples
  • presentation of commonly used software tools
  • collective and/or individual exercises
  • preparation for final exam by repetition of all course units and main issues
  • final exam

Literature

  1. Textbook:
    RBI Risk Based Inspection - Power
  2. Transparencies
    Risk Based Inspection - Power
  3. HAZOP example
  1. Risk Based Inspection - Petro
  2. Transparencies
    EU RBI Guide document CEN CWA 15740:2008 (Risk-Based Inspection and Maintenance Procedures for European Industry)
  3. Additional materials
    API 581 Appendix C Workbook for quantitative RBI
    API 581 Cosequences Analysis
    API 581 Likelihood Analysis
    NFPA 49 - Hazardous Chemicals Data
  1. Textbook:
    Reliability Centered Maintenance and Root Cause Failure Analysis
  2. Transparencies
    • Failure and damage mechanisms and reliability of ageing industrial plants
    • Reliability Centered Maintenance (RCM) and Root Cause Failure Analysis
    • EU RBI Guide document CEN CWA 15740:2008 (Risk-Based Inspection and Maintenance Procedures for European Industry
    • Root Cause Analysis
  3. Additional material
    • CWA 15740, April 2008: Risk-Based Inspection and Maintenance Procedure for European Industry (RIMAP)


For more information about the European Master and Certification Program in Risk Engineering and Management in general, go the Homepage.
For more information about the European Master Program in Risk Engineering and Management in general, go the Master Study page.
To see more courses in the curriculum, go to The curriculum page, or by date and topic go to the Calendar of Courses page.
Contact: via email sti889@risk-technologies.com or phone +49 711 1839 781 or +49 711 1839 647
(Course profile ID: II, generated on November 19, 2018)