API 580 and 581 Training - Risk-Based Inspection & Base Resource Document

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Upcoming Course

Code Start Date End Date Location Cost Instructor Register
PST0245-202101  20 Sep 2021  24 Sep 2021  VIRTUAL TRAINING  USD 2495  Chintamani M. Khade   Register
PST0245-202102  13 Dec 2021  17 Dec 2021  VIRTUAL TRAINING  USD 2495  Chintamani M. Khade   Register

Past Course

Code Start Date End Date Location Cost Instructor Register
        Aaron A. Zick, Ph.D. 
        Aaron A. Zick, Ph.D. 
PST0245  10 Jun 2013  14 Jun 2013  Kuala Lumpur, Malaysia  SGD 2995  Uday B. Kale 
PST0245-201401  16 Jun 2014  20 Jun 2014  Kuala Lumpur, Malaysia  SGD 2995  Uday B. Kale 
PST0245-201501  03 Aug 2015  07 Aug 2015  Kuala Lumpur, Malaysia  SGD 3195  Uday B. Kale 
PST0245-201601  19 Sep 2016  23 Sep 2016  Kuala Lumpur, Malaysia  SGD 3195  Uday B. Kale 
PST0245-201701  02 Oct 2017  06 Oct 2017  Bandung, Indonesia  SGD 3195  Uday B. Kale 
PST0245-201701  06 Nov 2017  10 Nov 2017  Kuala Lumpur, Malaysia  SGD 3195  Uday B. Kale 
PST0245-201801  19 Mar 2018  23 Mar 2018  Kuala Lumpur, Malaysia  SGD 3195  Uday B. Kale 
PST0245-201802  06 Aug 2018  10 Aug 2018  Bandung, Indonesia  SGD 3195  Uday B. Kale 
PST0245-201901  26 Aug 2019  30 Aug 2019  Kuala Lumpur, Malaysia  USD 2595  Uday B. Kale 
PST0245-201902  09 Dec 2019  13 Dec 2019  Bandung, Indonesia  USD 2595  Uday B. Kale 
PST0245-202001  28 Sep 2020  02 Oct 2020  VIRTUAL TRAINING  USD 2335  Chintamani M. Khade 

The course is based on API RP 580 Risk-Based Inspection and API Publication 581, Base Resource Document. The course first explains feasible means and alternatives for achieving a successful RBI program without undue complications. This course deals with RBI framework and methodology in a simple straight forward manner to establish and implement a risk-based inspection program best suited for the company objectives.


Its utility is based on the premise that a few vital equipments in a process plant contribute a majority of the risk. Consequently, if these few equipments can be identified, then testing and inspection can be focused on them rather than several low-risk items. RBI helps to prioritize their equipment for inspection, optimize inspection methods and frequencies, and develop effective inspection plan commensurate with the risk contribution and equipment condition.


The course is focused on methodology of actual implementation of RBI in Oil and Gas industry. It covers advanced knowledge of RBI implementation in addition to the knowledge required for passing the Certification Examination. The candidates should possess at least one certification out of API 510, API 570 or API 653 certifications.


With Mr. Uday Kale’s extensive involvements in the facilities inspection, as well as his practical coaching and mentoring approaches, this course not only prepare the candidates to pass API 580 examination with confident, it will also advance the helps the participants broaden the technical knowledge base in order to avoid unplanned shutdown and reduce expenses!

Module - 1

  • Introduction
  • What is RBI?
  • Scope of RBI
  • Purpose & Utility of RBI
  • Common Definition RBI
  • Definition of Risk
  • Relative Risk V/S Absolute Risk
  • Relationship between Inspection & Risk
  • Types Of RBI Assessments
  • Qualitative, Quantitative and Semi-Quantitative Approaches

Module - 2

  • Planning RBI Assessment
  • Selecting Type of RBI Assessment
  • Identifying Deterioration Mechanisms
  • Introduction to Qualitative Analysis
  • Likelihood Category
  • Consequence Category
  • Step-By Step Method for Qualitative Analysis
  • Understanding the Damage Factors
  • Determine Likelihood Category
  • Determine Consequence Category and Risk Category
  • Preparation of Risk Matrix, Analysis and Conclusion

Module - 3

  • Introduction to Quantitative Analysis
  • Flammable Effects
  • Toxic Effects
  • Business Interruption Effects
  • Estimation of Release Rate and Post Leak Response
  • Risk Evaluation
  • Risk-Weighted Consequences

Module - 4

  • Introduction to Semi Quantitative Approach
  • Likelihood Analysis
  • Consequence Analysis
  • Risk Management Post RBI Analysis
  • Inspection Strategies Post RBI Analysis
  • Using RBI Findings To Evolve Inspection Strategy In Oil And Gas Industry

Module - 5

  • Inspection Effectiveness
  • Optimizing Inspection Methods And Frequencies
  • Risk Mitigation and Follow-Up
  • Re-Assessment and Updating RBI
  • Implementation of RBI in Oil And Gas Industry
  • Final Quiz
  • Feedback and Concluding Session
  • Introduction to the basic concept of Risk-Based Inspection and the basis for the API  580 RBI program and methodology
  • Understand the purpose, scope, and examination of the critical steps in the RBI process
  • Overview of deterioration mechanisms and failure modes affecting the plant equipment
  • Introduction to the risk-based inspection priority matrix  and the means to utilize its results in determining inspection priorities
  • Introduction to the iso-risk plot and its use, especially in combination with the risk-based inspections priority matrix  
  • Discussion of risk-based inspection documentation and record-keeping needs
  • Understanding of the basic concepts of risk acceptance, risk assessment, risk perception ,risk mitigation and managing residual risk .

This course will specifically benefit Engineers, Supervisors, and Managers and Individuals who are responsible for implementing risk- based inspection programs within their own company or plant facility such as Mechanical integrity, Equipment Reliability, and Inspection Personnel who are responsible for maintaining the serviceability of process plant equipment based on a cost-effective inspection program.

Each attendee must bring a Laptop computer with Microsoft operating system and Scientific Calculator

Aaron A. Zick, Ph.D.

Founder and President


President, Zick Technologies (Since 10/93).

Petroleum engineering consulting and software development, specializing in the area of reservoir fluid phase behavior modeling. References available on request. Key achievements:

-Developed numerous equation-of-state and black-oil fluid characterizations for various major oil companies and as a sub-contractor for Pera A/S.

-Recommended phase behavior experimentation and modeling guidelines for several major oil companies.

-Wrote PhazeComp, a new, state-of-the-art program from Zick Technologies for equation-of-state phase behavior modeling, reservoir fluid characterization, and the robust, efficient calculation of minimum miscibility conditions.

-Wrote Streamz, unique Petrostreamz A/S software for translating, manipulating, and managing vast quantities of fluid stream information.

-Designed and helped write Pipe-It, unique Petrostreamz A/S software for managing and manipulating petroleum resources, processes, and projects.

-Taught numerous industry courses on phase behavior, equations of state, reservoir fluid characterization, and miscible gas injection processes.

-Designed and helped implement a new set of equation-of-state routines for the in-house reservoir simulator of a major oil company.

-Advised the architects of a major commercial reservoir simulator on ways to significantly improve their equation-of-state routines.


Director of Research, Reservoir Simulation Research Corporation (6/91–10/93).

Responsible for the research and development of more efficient, accurate, and reliable techniques for modeling reservoir fluid phase behavior within MORE® (a fully-compositional, equation-of-state reservoir simulator). Also responsible for improving three-dimensional visualization of reservoir simulator output, and for occasional consulting work. Key achievements:

-Designed and implemented new equation-of-state solution algorithms for MORE®, improving both efficiency and robustness while using less memory.

-Developed a powerful and flexible interface between MORE® and TECPLOT™ (three-dimensional surface contouring software from AMTEC Engineering).


Senior Principal Research Engineer, ARCO Oil and Gas Company (9/83–5/91).

Developed expertise in reservoir fluid phase behavior, phase behavior modeling, compositional reservoir simulation, and relative permeability modeling.  Designed and analyzed PVT experiments. Created equation-of-state reservoir fluid characterizations. Developed ARCO’s phase behavior modeling software and relative permeability modeling software. Helped develop several of ARCO’s compositional and limited compositional reservoir simulators. Key achievements:

-Discovered the true, condensing/vaporizing mechanism of oil displace­ment by enriched hydrocarbon gases.

-Represented ARCO on the Prudhoe Bay co-owners’ Enhanced Oil Recovery Task Force for the Prudhoe Bay Miscible Gas Project.

-Designed and analyzed most of the PVT and slim-tube experiments for the Prudhoe Bay Miscible Gas Project.

-Created the equation-of-state reservoir fluid characterization adopted by the operating companies for the Prudhoe Bay Miscible Gas Project.

-Developed the miscibility pressure correlations used by the facility operators for the Prudhoe Bay Miscible Gas Project.

-Developed EOSPHASE, a then state-of-the-art program for equation-of-state phase behavior modeling, reservoir fluid characterization, and the robust, efficient calculation of minimum miscibility conditions.

-Developed SLIMTUBE, a special-purpose, equation-of-state simulator for slim-tube displacements.

-Developed new, compositionally-consistent, three-phase relative perme­ability models for ARCO’s compositional simulators and wrote data-fitting software for those models.

-Developed the phase behavior and relative permeability routines for a new, limited compositional reservoir simulator and assisted on other aspects of it.

-Continually added improvements to various in-house reservoir simulators.

-Regularly taught in-house courses on the phase behavior of miscible gas displacement processes.



A. A. Zick, “A Combined Condensing/Vaporizing Mechanism in the Displacement of Oil by Enriched Gases,” presented at the 61st Annual Technical Conference and Exhibition of the Society of Petroleum Engineers, New Orleans, LA (October, 1986).

D. E. Tang and A. A. Zick, “A New Limited Compositional Reservoir Simulator,” presented at the 12th SPE Symposium on Reservoir Simulation, New Orleans, LA (March, 1993).