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RC NUMBER

1163991

TRAINING COURSE

PROSPER

PROSPER





This course provides fundamental training on integrated production modelling. It is structured to cover field development analysis, optimization and performance forecasting in an integrated fashion using PROSPER, MBAL and GAP.

It will improve the engineer's understanding of the approach to building Integrated Production Models using PROSPER, MBAL and GAP, with a focus on the engineering, quality control and program navigation and the kind of opportunities that these models afford engineers and the organisation in terms of getting more value from the managed assets.

The course pays specific attention to discussing the fundamental physical principles behind the operation of the tools, thereby giving attendees the ability to independently use the software tools to quality check existing physical models, and understand and optimize the performance of production systems.

Designed for

This course is designed to improve the engineers’ understanding of the approach to building Integrated Production Models using PROSPER, MBAL and GAP , with a focus on the engineering, quality control and program navigation.

Course Objectives

  • Develop and/or improve the engineer’s IPM tools usage proficiency
  • Understand the basic physical principles behind the models being used and
  • Understand the limitations of the models.

After completing this course, engineers should be able to build and calibrate well models to measured test data and use calibrated well models for life-of-well sensitivity analyses and artificial lift design studies.

The attendees are also expected to gain a fundamental understanding of the physics of well, pipeline network and material balance reservoir modelling principles.

In addition, attendees will be able to build and history-match reservoir models using Material Balance Techniques, use matched reservoir models for production forecasts and other studies and ultimately integrate matched well and reservoir models with surface pipeline network models for full-field integrated studies.

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