GRIF – Petro module training

OBJECTIVES

Discover and master the features of the Petro module of the GRIF** software

TARGET POPULATION

RAMS engineer assessing the production availability of a production system, taking into account its logistical support.

PREREQUISITE

Degree in engineering / Master of Science with experience in conducting availability studies

TEACHING METHODS

Lectures, application examples, tutorials, practical work

EVALUATION METHODS

MCQs at the beginning and end of the course

TRAINER

RAMS expert (20 years’ experience)

REGISTRATION DEADLINES

Minimum: 1 month (VISIO) – 1.5 months (INTER) – 2 months (INTRA)

ACCESSIBILITY

Handicap referent: +337.65.50.40.66 / contact@satodev.fr

REFERENCE: G4
DURATION: 3 day(s)
PLACE: Bordeaux / Visio
Sessions :
: 26 May 2026
: 23 November 2026

CUSTOMIZED: contact@satodev.fr

TRAINING CONTENT

OBJECTIVES

At the end of the training, you will be able to:

  • Create a block diagram for a production system
  • Understand all possible configurations of Petro equipment
  • Create a maintenance schedule
  • Manage the resources (teams, spare parts) required for the system
  • Control flow propagation
  • Configure calculations and analyse results
  • Use modelling to answer questions about a system

PRESENTATIONS AND DEMONSTRATIONS (14 hours)

  • Modelling a diagram for production availability
  • Advanced configuration of blocks/equipment
  • Definition of maintenance and use of resources (teams, spare parts)
  • Flow management:
    • Use of connectors
    • Specific components (tank, ramp-up, torch)
  • Configuration of calculation launch and analysis of results
  • Advanced calculations

SUPERVISED WORK (3.5 hours)

  • Modelling a diagram for production availability
  • Using interactive simulation to validate your model
  • Example taking logistical support into account
  • Running calculations and analysing results using a provided example

PRACTICAL WORK (3.5 hours)

  • Production availability system with utility management
    • Process and utility modelling
    • Adding resources
    • Calculating production availability
  • Carrying out the MiniPlan test case
    • Process modelling
    • Comparing variants
    • Analysing production results and resources used
    • Resource optimisation