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Field Production Modelling and Forecasting with GAP and MBAL (BACIPS01LIC1)

  • 1 dayLicense period: 1 Month Course Fee: 140 EUR

Description

This short, intense course covers the key concepts behind surface network modelling and forecasting using GAP and MBAL. Topics include building a new oil network model, running sensitivities on pipeline diameter, adding constraints and optimising gas lift and ESP wells systems. Field production forecasting involves adding a reservoir model to the surface network model. Topics include running a prediction and viewing the results, adding a water injector and adjusting well timing to achieve an optimum oil production plateau rate. We also evaluate the effect on recovery factor of converting wells to gas lift and ESP. 1 day classroom equivalent course. Discover the Baobab micro-learning method – studying at your own pace, in your own time. IChemE accredited course (7 CPD hours).

3
Concept Videos
23
Software Videos
2
Quizzes
0
Exercises
1
Exams


Designed for you, if you are...

. . . anyone desiring to learn how to build and use network models to forecast field production rates with commercial well modelling software.

The benefits from attending

  • Explain the concepts of the interaction between wells and pipelines and the effect of constraints
  • Describe the principles and application of gas lift gas allocation
  • Build a network model for a new oil field development (GAP)
  • Perform network optimisation with constraints for naturally flowing, gas lift and ESP wells (GAP)
  • Run production forecasting with producers and injectors (GAP/MBAL)

Topics

1. Surface network modelling concepts
  • Surface network modelling - key concepts and constraints
  • Surface network modelling - interactions and gas lift wells
  • Surface network modelling - gas lift gas allocation

2. Introduction to GAP (data entry)
  • Introduction and overview (GAP)
  • Building a network model - drawing the system (GAP)
  • Building a network model - entering the pipeline data (GAP)
  • Building a network model - entering the well IPR data (GAP)
  • Building a network model - entering the well VLP data (GAP)

3. Running the network model
  • Running the network model - viewing the results (GAP)
  • Running the network model - pipeline sizing and results (GAP)
  • Running the network model - adding constraints (GAP)

4. Adding gas lift wells
  • Running the network model - adding gas lift wells (GAP)
  • Running the network model - gas lift control and allocation (GAP)
  • Running the network model - gas lift performance curves (GAP)
  • Running the network model - generating VLPs (GAP)

5. Adding ESP wells
  • Running the network model - adding ESP wells (GAP)
  • Running the network model - ESP power allocation (GAP)

6. Running a prediction
  • Adding a tank model to an existing field network model for prediction (GAP)
  • Viewing and understanding the results of a prediction run (GAP)
  • Adding a water injector to the reservoir (GAP)
  • Viewing the results of water injection support (GAP)

7. Optimising the production profile
  • Optimising the production profile with well timings (GAP)
  • Finalising the well timings and viewing the results (GAP)

8. Adding artificial lift (gas lift and ESPs)
  • Converting to gas lift wells (GAP)
  • Converting to ESP wells (GAP)
  • ESP well performance and summarising the prospect evaluation results (GAP)

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