DNVGL.com

SA-02 Safeti training

The course introduces the concepts and models within Safeti software

Contact us:

Training offered on request

Request for training
SHARE:
PRINT:
Safeti QRA software training

Training Information

  • Duration:

    5 days

  • Prerequisite:

    This course is suitable for new users or more experienced users who have not attended a formal training course or would like a refresher course. A basic understanding of the concept of consequence modelling and QRA is required, as is some experience of the process industry.

  • Course:

    SA-02 Safeti training

  • When:
    Add to calendar 2019/03/11 09:00 2019/03/15 18:00 SA-02 Safeti training The course introduces the concepts and models within Safeti software
    https://www.dnvgl.com/training/sa-02-safeti-training-8408
    This only adds the training to your calendar, please remember to register for this training.
    false YYYY/MM/DD akeGphYOczrmtQTfhmEQ22349

Available dates and venues

Dates
Venue
Register by
Course fee
Computer
Dates
11-15 March 2019
Venue
Equinox Business Park, Mumbai, India
Register by
03 March 2019
Course fee
INR 85000 per person, including lunch (+ 18% GST)
Computer
Need to bring own laptop (with Windos 7, 8 or 10)
Dates
07-11 April 2019
Venue
DNV GL office, Dammam, Saudi Arabia
Register by
17 March 2019
Course fee
USD 3000 per person, including lunch (excluding tax)
Computer
Need to bring own laptop (with Windos 7, 8 or 10)
Dates
08-12 April 2019
Venue
DNV GL office, Busan, Korea
Register by
15 March 2019
Course fee
KRW 2 000 000 per person, including lunch (excluding tax)
Computer
Need to bring own laptop (with Windos 7, 8 or 10)
Dates
20-24 May 2019
Venue
DNV GL office, London, UK
Register by
08 May 2019
Course fee
GBP 2250 per person, including lunch (excluding tax)
Computer
Laptop provided by DNV GL
Dates
20-24 May 2019
Venue
DNV GL office, Yokohama, Japan
Register by
26 April 2019
Course fee
JPY 250 000 per person, including lunch (excluding tax)
Computer
Need to bring own laptop (with Windos 7, 8 or 10)
Dates
02-06 September 2019
Venue
DNV GL office, Busan, Korea
Register by
09 August 2019
Course fee
KRW 2 000 000 per person, including lunch (excluding tax)
Computer
Need to bring own laptop (with Windos 7, 8 or 10)
Dates
13-17 October 2019
Venue
DNV GL office, Abu Dhabi, UAE
Register by
22 September 2019
Course fee
USD 3000 per person, including lunch (excluding tax)
Computer
Need to bring own laptop (with Windos 7, 8 or 10)
Dates
21-25 October 2019
Venue
DNV GL office, Katy, Houston, TX, USA
Register by
01 October 2019
Course fee
USD 4250 per person, including lunch (excluding tax)
Computer
Laptop provided by DNV GL

Description

The course introduces the concepts and models within Safeti. It will cover all areas of consequence modelling within the software, including:

  • Discharge
  • Dispersion
  • Pool formation and evaporation
  • Fires Explosions and toxic effects

The course will also cover all areas of risk modelling within the software, including assessment of the impact of hazardous releases on the human population, taking account of probabilistic meteorological data (wind-roses), event frequencies, ignition probabilities, and location of population areas. You will be required to practice and apply your new knowledge of the software through extensive hands-on workshops.

Learning objectives

Upon completion of this course, you will understand and be able to use the theoretical and practical aspects of Safeti. Starting from the release case scenario models, you will use them to develop a simple QRA (Quantitative Risk Analysis) example. You will learn to use the extended functionality provided by Safeti, including population and ignition source definition on a map. The course also covers the additional reporting capabilities provided in Safeti, such as risk contours, F/N curves and risk ranking reports.

Target group

Users who need to carry out QRA calculations in the process industries, including regulators and legislators, insurance companies, engineering contractors and consultants, or those who need to understand the output of a QRA model built in Safeti.