Integrated Production Modeling (IPM)

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Venue Starting Date Duration Fees Join Now
Online - Virtual , 20240527 27 - May - 2024 2 Hrs X 8 Sessions $2,100 Register
Istanbul - Turkey , 20240812 12 - Aug - 2024 5 - Day $5,950 Register
Dubai - UAE , 20241014 14 - Oct - 2024 5 - Day $4,950 Register
Online - Virtual , 20241104 04 - Nov - 2024 2 Hrs X 8 Sessions $2,100 Register
Houston - USA , 20241216 16 - Dec - 2024 5 - Day $6,950 Register


Integrated Production Modelling is the tool that facilitates the integration of people and tools resulting in efficient field management. Engineers can design full-field models of oil or gas production systems with this technology, including reservoirs, wells, and surface networks. It helps to look at simulations of the production system to determine optimum settings for both output and revenue in the field. Integrated Production Modeling also helps to increase the production optimization process and by lowering downtime.

Integrated Asset Modeling (IAM) course covers all elements of PETEX software. It is designed for users who are not very familiar with PETEX modules (MBAL, PROSPER, MBAL, and PVTp). It covers theoretical parts needed prior to solving different problems using the software. PETEX is the main part to implement integrated production modeling for E&P professionals, and it is a basic tool for everyone who is responsible or part of his/her job is to increase production. The program starts from the basic level reaching advanced applications of the PETEX.


Participants attending Integrated Asset Modeling (IAM) training will be skilled in the following:

  • Understand the components of Integrated Asset Modeling (IAM) and Integrated Production Modeling (IPM).
  • Wide knowledge of different applications of each PETEX module; PROSPER, GAP, MBAL, and PVTp.
  • Learn which module is optimum to be used for addressing/solving a certain problem.
  • Learn how to optimize well performance using PROSPER, and how to do sensitivity for dead wells and how to know when the well will die.
  • Understand how to get value and oil gain from different artificial lifting techniques such as gas lift and ESP.
  • Estimate stimulation value for wells using PROSPER modeling.
  • Be familiar with the MBAL module from data input and preparation to simulation and prediction for depletion drive reservoirs and water drive reservoirs.
  • Learn how to get quick Waterflooding value from MBAL, and do sensitivity on in-place volumes.
  • Understand how to get energy drive indices, and what to conclude from them.
  • Practice different examples of introducing wells into the MBAL for better prediction considering VLP of different wells.
  • Be familiar with GAP, and how to spot bottlenecks in your surface system.
  • How to check the impact of cleaning lines or laying down new lines in surface facilities?
  • Getting familiar with different modules in GAP such as: Tanks, Sink, Pump, Lines, Compressors, Wells, Nodes… etc.
  • Getting familiar with PVTP, and learn how to do QC for PVT samples.
  • Learn how to insert PVT lab test data into the PVTP, and how to draw a phase diagram.
  • Learn how to export PVT tables for different applications.
  • Combining all of the PETEX modules with different examples.


This training course is intended for petroleum engineers, field engineers, reservoir engineers, and professionals dealing with the optimization of oil production.


The program will be conducted in an interactive and practical method. There will be daily individual exercises and everyone will get an opportunity to discuss their issues with the software or with the concept itself.

Pre & Post course assessments will be used to measure the effectiveness of this training.


Module 1 - Introduction to Integrated Production Modeling (IPM)

  • KeyTopics:

    • Fundamental Concepts
    • Introduction to PETEX software
    • Fundamentals of Nodal Analysis
    • IPR Models
    • VLP Correlations
    • Impact of WC, GOR, Tubing Size and WHP
    • Flow Regimes
    • IPM/IAM Significance to Petroleum Engineers, Reservoir Engineers and Production Engineers.
    • Data Sources, Preparation, and QC

Module 2 - Fundamentals of PROSPER Modeling

  • KeyTopics:

    • Well Modeling Using PROSPER:
      • Data Entry
      • Data Needed
      • Well Models
      • IPR/VLP System
    • VLP correlations:
      • VLP Correlations Selection
      • Duns and Ros
      • Hagedorn Brown
      • Beggs and Brill
      • Orkiszewski
      • PE Correlations
    • IPR Models
      • Vogel
      • Frochheimer Models
      • Fetckovich Models
      • IPR for Gas Wells
    • Deviation Survey
    • Surface Equipment
    • Geothermal Gradient
    • Well Models
    • Multilayer Reservoirs
    • Dual Porosity
    • SPOT Model
    • Well Configuration
    • Defining Xmas Tree
      • Defining Tubing in PORSPER
      • Defining SSSV in PROSPER
      • Defining Casing in PROSPER
    • Generating Inflow
    • Generating System 3 Variables and 4 Variables
    • Considerations in simulating Natural wells
    • Artificial Lift Method in PROSPER
    • ESP overview in PROSPER
    • GL overview in PROSPER
    • Exporting Curves to Other Software Packages
    • Rate Estimation
    • Sensitivity Study
    • Case Study

Module 3 - Fundamentals of GAP Modeling

  • KeyTopics:

    • Network Modeling Using GAP:
      • Data Entry
      • Data Needed
      • Facilities Modules
      • Bottlenecks
      • Flow Assurance Aspects
      • Gas Lift Optimizations
      • Sensitivity Study
      • Facilities Modules
      • Bottlenecks
      • Flow Assurance Aspects
      • Modeling Pipelines in GAP
      • Modeling Sources in GAP
      • Modeling Sinks in GAP
      • Modeling Pipelines in GAP
      • Modeling Pumps and Compressors in GAP
      • Gas Lift Optimizations in GAP
      • Case Study

Module 4 - Fundamentals of MBAL Modeling

  • KeyTopics:

    • Tank Modeling Using MBAL:
      • Data Entry
      • Data Needed
      • PVT Data
      • Aquifer Models
      • Transmissibility
      • Tanks Models
    • Aquifer Models
      • Carter Tracey Model
      • Small Pot
      • Schilthuis Model
      • Hurst Steady State
      • Hurst Van Everdingen Model
    • Relative Permeability
    • Fractional Flow
    • History Match
    • Analytical Models
    • Prediction Modes
    • Sensitivity Study
    • Case Study

Module 5 - Fundamentals of PVTP Modeling

  • KeyTopics:

    • Fluid Modeling Using PVTP:
      • Data Entry
      • Data Needed
      • PVT Fundamentals
      • PVT QC
      • Phase Envelope
      • Critical Point
      • Saturation Pressure
      • Constant Composition Expansion , CCE
      • Constant Volume Depletion, CVD
      • Decontamination
      • Lumping Delumping
      • Phase Envelope and Critical Point
      • Wax Point
      • EoS Modeling and Matching
      • Reporting
      • Case Study

Module 6 - Integrated Asset Modeling (IAM) Fundamentals

  • KeyTopics:

    • Combing PROSPER, GAP, and MBAL into IAM
    • Integrated Asset Modeling (IAM) Workflow and Case Study

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