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SAFER, SMARTER, GREENER

SOFTWARE

RISK BASED INSPECTION (RBI) - API 580/581 METHODOLOGY WITH SOFTWARE HANDS-ON TRAINING

2017 public workshop - 4 days

American Petroleum Institute (API) has developed RBI methodologies such as API 580/581 for identifying and managing the risks associated with the integrity of pressure systems such as equipment and piping. Professionals with a good under-standing of RBI, when applying these techniques in the industry, have achieved reduction in the frequency of inspections while ensuring the risk does not increase.

Regulators and insurance companies now recognise the acceptability of a risk based approach to the optimisation of inspection and maintenance intervals. Qualitative approaches to Risk Based Inspection (RBI) have been developed for general use and more detailed quantitative methods exist for activities with major loss potential or large preventive expenditure requirements.

SoftwareDNV GL, the original API RBI contractor for the methodology development have been continuously developing these methodologies and incorporating them into the software Synergi Plant - RBI. The software provides the option to conduct qualitative, semi-quantitative and fully quantitative RBI assessments. The software is driven simply by the selection of various options from drop down menus, which prompt the user to select the most appropriate category for equipment type, location, fluid type and inventory, business interruption

consequence, and specific details relating to the material of construction of the equipment, and its susceptibility to various failure mechanisms. Based upon these inputs, the software then uses a set of models to calculate a risk ranking and a corresponding recommendation for the next inspection interval.

Who should attend?Plant managers, inspection engineers, reliability engineers, maintenance and inspection heads, asset integrity managers, operations engineers, materials and corrosion engineers, inspectors and NDT Specialists.

Interactive training with hands-on softwareThe training program is designed to be interactive with hands-on session on the software to ensure deeper and wider knowledge and experiences are shared among participants and trainer. Participants are encouraged to bring their own computers, and the software is provided for a one month trial. This will enhance the understanding and appreciation towards the subject matter. The training has limited seats up to 20 participants to ensure maximum learning and experience for all participants.

Training documentationDocumentation to be provided with the course will include: training manual and case study documents

Why DNV GL?

DNV GL promotes Risk Based Inspection (RBI), a STEP change from the traditional time based planning, inspection and maintenance widely adopted in the oil and gas and energy sector.

Learn the methodology principles... Apply them with a proven, easy-to-use software

Product workshop outline

Module 1: Introduction to RBI according to API 580/ API 581 ■ API standards ■ Other RBI standards ■ Inspection & monitoring ■ RBI objectives ■ RBI benefits & limitations ■ Scope of RBI ■ Failure scenarios ■ Degradation mechanisms ■ RBI process ■ Likelihood of failure ■ Consequence of failure ■ Qualitative versus quantitative ■ Data required for RBI & results ■ Risk vs time and the effect of inspection ■ Risk criteria & inspection planning ■ Typical RBI implementation ■ Critical success factors

Module 2: RBI example – Hands-on ■ Asset hierarchy definition ■ Cost data ■ Screening assessment ■ Likelihood calculation ■ Consequence calculation ■ Risk calculation ■ Inspection planning

Module 3: Likelihood of failure – internal thinning ■ Management factor ■ Generic failure frequencies ■ Damage factor for internal thinning ■ Accounting for inspection history

Module 4: Likelihood of failure – Other damage mechanisms ■ Stress corrosion cracking ■ External corrosion/ corrosion under insulation

■ External SCC ■ Brittle fracture ■ Fatigue

Module 5: Consequence of failure ■ Qualitative CoF method ■ Detailed quantitative CoF method

- Theory - Practical aspects

Module 6: Data gathering and organizing ■ Data sources ■ Building equipment hierarchy and groupings ■ Inventory groups ■ Corrosion circuits

Module 7: Screening qualitative analysis ■ Data entry ■ Analysis

Module 8: Detailed quantitative analysis ■ Data entry modes ■ Troubleshooting ■ Risk analysis

Module 9: Inspection planning

■ Setting inspection targets ■ Inspection planning guidelines ■ Inspection reporting

Module 10: Optional topics ■ Pressure relief devices ■ Liner modelling ■ Atmospheric storage tanks ■ Heat exchanger tube bundles ■ HTHA ■ Creep

INSTRUCTOR

Dr. Panos Topalis is the Product Manager of Risk Based Inspection software within DNV GL Software and an experienced RBI consultant. He has been responsible for the development, marketing, technical support and training since July 2000 and has helped clients in their RBI implementation projects. Panos is an experienced mathematical modeler, risk analyst and project manager. Panos has worked on and managed numerous risk assessment projects of both offshore and land-based oil and chemical installations and worked on the development of a variety of software packages for the oil and chemical industry.

Panos graduated in Chemical Engineering in 1981 and subsequently went to France where he did a PhD in process flow sheeting, thermodynamics and industrial heat recovery. From 1986 to 1989, Panos was a post-doctoral research assistant at Imperial College, London, where he took part in the development of the new PPDS phase equilibrium software package. Then he joined British Gas where he worked for the in-house process simulation software until March 1992. Panos worked for a risk assessment and environmental consulting company for more than four years, until August 1996, when he joined the Software Products & Development group of DNV GL.