Well Engineering and Production Training Courses > Applied Integrated Production Modelling - Using PETEX IPM Suite – PROSPER, GAP and MBAL
Code Date Format Currency Team of 10
Per Person*
Team of 7
Per Person*
Early Bird Fee
Per Person
Normal Fee
Per Person
PE2224 13 - 16 Apr 2026 Kuala Lumpur, Malaysia SGD 6,793 7,109 7,699 7,899
PE2224 13 - 16 Apr 2026 Kuala Lumpur, Malaysia USD 5,331 5,579 5,999 6,199
PE2225 16 - 19 Nov 2026 Kuala Lumpur, Malaysia SGD 6,793 7,109 7,699 7,899
PE2225 16 - 19 Nov 2026 Kuala Lumpur, Malaysia USD 5,331 5,579 5,999 6,199

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees for team based learning. Contact us on [email protected] to learn more today!

Code

PE2224

Date

13 - 16 Apr 2026

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

6,793

Team of 7
Per Person*

7,109

Early Bird Fee
Per Person

7,699

Normal Fee
Per Person

7,899

Code

PE2224

Date

13 - 16 Apr 2026

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

5,331

Team of 7
Per Person*

5,579

Early Bird Fee
Per Person

5,999

Normal Fee
Per Person

6,199

Code

PE2225

Date

16 - 19 Nov 2026

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

6,793

Team of 7
Per Person*

7,109

Early Bird Fee
Per Person

7,699

Normal Fee
Per Person

7,899

Code

PE2225

Date

16 - 19 Nov 2026

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

5,331

Team of 7
Per Person*

5,579

Early Bird Fee
Per Person

5,999

Normal Fee
Per Person

6,199

*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date
Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements
Request for in-person classroom training or online (VILT) training format

About this Training

Integrated Production Modelling (IPM) is a powerful methodology that connects the reservoir, wells, and surface network into a unified model to analyze and optimize production performance. This intensive training course provides participants with the knowledge and practical skills to build, calibrate, and troubleshoot IPM models using industry-standard Petroleum Experts (Petex) tools — PROSPER, GAP, and MBAL.

Over four days, participants will work through realistic field-based exercises, covering every stage from well performance analysis and gas-lift design to network optimization and production forecasting. The course emphasizes applied learning, guiding participants to configure well, network, and reservoir models, link them dynamically, and interpret the results to support production decisions.

By the end of the program, participants will gain the confidence to construct complete integrated models, perform scenario-based optimization, and interpret model outputs to enhance field productivity. The course also introduces advanced features such as water injection modelling, SmartField concepts, and history matching techniques — ensuring participants are equipped with both operational and analytical competence for modern field development workflows.

Upon completion of this course, participants will be able to:

  • Build complete integrated models linking well (PROSPER), network (GAP), and reservoir (MBAL) components for field-level production forecasting.
  • Perform gas-lift and ESP design and diagnostics, and optimize artificial lift systems for improved well performance.
  • Calibrate and history match models to align with actual field data and simulation results for accurate forecasting.
  • Analyze field constraints and optimize network performance, including gas-lift distribution, water injection, and low-pressure systems.
  • Apply practical case studies and field exercises (e.g., Medco-based scenarios) to simulate real operational challenges and integrated decision-making.

This course is designed for production, reservoir, and petroleum engineers who are involved in daily production optimization, field development planning, or integrated modelling activities. It also benefits surface facilities, process, and asset engineers who need to understand how well, pipeline, and reservoir interactions affect production performance.s designed for professionals involved in petroleum production and reservoir management who are eager to enhance their technical capabilities in integrated asset modeling and optimization. This course is ideal for professionals seeking to improve operational efficiency, optimize resource usage, and gain in-depth knowledge of the Petroleum Experts IPM suite.

  • Production Engineer
  • Reservoir Engineer
  • Petroleum Engineer
  • Well Performance Engineer
  • Field Development Engineer
  • Asset/Operations Engineer
  • Facilities Engineer (with field optimization scope)
  • Basic
  • Intermediate

This course is highly practical and exercise-driven. Each session combines concise technical briefings with guided, step-by-step modelling exercises using PROSPER, GAP, and MBAL. Participants will work on real-world case studies, including gas-lift networks, ESP wells, and field performance forecasting. Interactive discussions, troubleshooting sessions, and hands-on model calibration ensure that learning outcomes are both applied and immediately transferable to participants’ daily work.

Your expert course leader is a Chartered Petroleum Engineer (CEng, UK) and Principal Production Technologist with over 22 years of international experience spanning Malaysia, Brunei, the Middle East, Africa, and Asia-Pacific. He is specializing in production optimization, gas-lift, and integrated production network modelling using PETEX IPM tools (PROSPER, GAP, MBAL). He previously held senior technical and leadership positions with Brunei Shell Petroleum, PETRONAS Carigali, and LEAP Energy, leading numerous field optimization, gas-lift, and IPM studies for onshore and offshore assets. A recognized subject matter expert in Integrated Production Modelling, he has trained and mentored engineers across major operators and presented his work at SPE and industry forums worldwide.

Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.

In our ongoing commitment to sustainability and environmental responsibility, we will no longer providing hard copy training materials. Instead, all training content and resources will be delivered in digital format. Inspired by the oil and energy industry’s best practices, we are leveraging on digital technologies to reduce waste, lower our carbon emissions, ensuring our training content is always up-to-date and accessible. Click here to learn more.

To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information post training support and fees applicable

Q1. What is Integrated Production Modelling (IPM)?
Integrated Production Modelling (IPM) is a systems-based approach that links reservoir performance, well behaviour, and surface network facilities into a single, connected model. Instead of analysing these components separately, IPM evaluates how changes in one part of the system affect overall field production. It is widely used for production forecasting, optimization, and decision-making across the life of an oil or gas field, from early development to late-life operations.

Q2. Why is Integrated Production Modelling important in field development and operations?
IPM is important because oil and gas production systems are highly interdependent. Reservoir deliverability, artificial lift performance, and surface constraints all influence actual production. IPM allows engineers to identify bottlenecks, test operating scenarios, and forecast realistic production outcomes. This integrated view reduces uncertainty, improves capital allocation, and supports operational decisions such as lift optimization, debottlenecking, and production planning.

Q3. How does Integrated Production Modelling differ from standalone well or reservoir modelling?
Standalone models analyze individual components in isolation, such as a single well or reservoir tank. IPM differs by coupling all components dynamically, allowing pressure, rate, and constraint interactions to be captured across the full system. For example, a well may appear capable of higher production in isolation, but IPM can reveal surface facility or network limitations that restrict flow. This makes IPM more realistic for operational and forecasting purposes.

Q4. What are the main components of an Integrated Production Model?
An integrated production model typically includes three core components:
Reservoir model (e.g., material balance or simplified reservoir representation)
Well models (covering inflow, tubing performance, and artificial lift systems)
Surface network model (pipelines, manifolds, separators, and constraints)
These components are linked so that changes in pressure, flow, or operating strategy propagate through the entire production system.

Q5. What are the common challenges when building and using IPM models?
Common challenges include data quality issues, model convergence problems, and maintaining consistency between reservoir, well, and surface assumptions. History matching integrated models can also be complex, as mismatches may originate from multiple system elements. Additionally, IPM models require careful calibration and regular updates to remain representative of actual field conditions, especially in mature or highly constrained assets.

Q6. How is Integrated Production Modelling used for production optimization?
IPM supports production optimization by evaluating scenarios such as artificial lift changes, gas-lift allocation, choke settings, facility upgrades, or water injection strategies. By simulating the entire system, engineers can identify the most effective way to increase production without violating constraints. IPM is particularly useful for prioritizing interventions and understanding trade-offs between wells competing for shared surface or lift-gas resources.

Q7. What role does Integrated Production Modelling play in forecasting and field planning?
IPM is widely used for short-, medium-, and long-term production forecasting. By linking reservoir depletion behaviour with surface and operational constraints, IPM produces more realistic forecasts than reservoir-only methods. It is commonly applied in field development planning, annual business planning, and evaluation of operating strategies, helping stakeholders understand expected production under different technical and operational scenarios.

Q8. What are the future trends in Integrated Production Modelling?
Future trends in IPM include increased automation, real-time data integration, and closer coupling with digital oilfield and SmartField concepts. Models are increasingly used alongside surveillance data to support near-real-time decision-making. There is also a growing focus on uncertainty analysis, low-pressure and late-life asset management, and integrating IPM with energy transition considerations such as efficiency optimization and emissions-aware operations.

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