| Code | Date | Format | Currency | Team of 10 Per Person* |
Team of 7 Per Person* |
Early Bird Fee Per Person |
Normal Fee Per Person |
|---|---|---|---|---|---|---|---|
| PE2278 | 19 - 23 Oct 2026 | Kuala Lumpur, Malaysia | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2278 | 19 - 23 Oct 2026 | Kuala Lumpur, Malaysia | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2278 | 19 - 23 Oct 2026 | Bali, Indonesia | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2278 | 19 - 23 Oct 2026 | Bali, Indonesia | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2278 | 19 - 23 Oct 2026 | Abu Dhabi, United Arab Emirates | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2278 | 19 - 23 Oct 2026 | Abu Dhabi, United Arab Emirates | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2279 | 22 - 26 Mar 2027 | Kuala Lumpur, Malaysia | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2279 | 22 - 26 Mar 2027 | Kuala Lumpur, Malaysia | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2279 | 22 - 26 Mar 2027 | Bali, Indonesia | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2279 | 22 - 26 Mar 2027 | Bali, Indonesia | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2279 | 22 - 26 Mar 2027 | Abu Dhabi, United Arab Emirates | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2279 | 22 - 26 Mar 2027 | Abu Dhabi, United Arab Emirates | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2280 | 20 - 24 Sep 2027 | Kuala Lumpur, Malaysia | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2280 | 20 - 24 Sep 2027 | Kuala Lumpur, Malaysia | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2280 | 20 - 24 Sep 2027 | Bali, Indonesia | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2280 | 20 - 24 Sep 2027 | Bali, Indonesia | USD | 4,299 | 4,499 | 4,799 | 4,999 |
| PE2280 | 20 - 24 Sep 2027 | Abu Dhabi, United Arab Emirates | SGD | 5,245 | 5,489 | 5,899 | 6,099 |
| PE2280 | 20 - 24 Sep 2027 | Abu Dhabi, United Arab Emirates | USD | 4,299 | 4,499 | 4,799 | 4,999 |
*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course dateRequest 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
PE2278Date
19 - 23 Oct 2026Format
Kuala Lumpur, MalaysiaCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2278Date
19 - 23 Oct 2026Format
Kuala Lumpur, MalaysiaCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2278Date
19 - 23 Oct 2026Format
Bali, IndonesiaCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2278Date
19 - 23 Oct 2026Format
Bali, IndonesiaCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2278Date
19 - 23 Oct 2026Format
Abu Dhabi, United Arab EmiratesCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2278Date
19 - 23 Oct 2026Format
Abu Dhabi, United Arab EmiratesCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2279Date
22 - 26 Mar 2027Format
Kuala Lumpur, MalaysiaCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2279Date
22 - 26 Mar 2027Format
Kuala Lumpur, MalaysiaCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2279Date
22 - 26 Mar 2027Format
Bali, IndonesiaCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2279Date
22 - 26 Mar 2027Format
Bali, IndonesiaCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2279Date
22 - 26 Mar 2027Format
Abu Dhabi, United Arab EmiratesCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2279Date
22 - 26 Mar 2027Format
Abu Dhabi, United Arab EmiratesCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2280Date
20 - 24 Sep 2027Format
Kuala Lumpur, MalaysiaCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2280Date
20 - 24 Sep 2027Format
Kuala Lumpur, MalaysiaCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2280Date
20 - 24 Sep 2027Format
Bali, IndonesiaCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2280Date
20 - 24 Sep 2027Format
Bali, IndonesiaCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
Code
PE2280Date
20 - 24 Sep 2027Format
Abu Dhabi, United Arab EmiratesCurrency
SGDTeam of 10
Per Person*
5,245
Team of 7
Per Person*
5,489
Early Bird Fee
Per Person
5,899
Normal Fee
Per Person
6,099
Code
PE2280Date
20 - 24 Sep 2027Format
Abu Dhabi, United Arab EmiratesCurrency
USDTeam of 10
Per Person*
4,299
Team of 7
Per Person*
4,499
Early Bird Fee
Per Person
4,799
Normal Fee
Per Person
4,999
*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course dateRequest 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 Course
This course provides a comprehensive understanding of the principles and practical workflow of Integrated Reservoir Modeling (IRM). It focuses on how geological, petrophysical, and reservoir engineering data are systematically integrated to construct robust static reservoir models. These models serve as the foundation for reliable dynamic reservoir simulation and informed field development planning.
Participants will learn how 3D static reservoir models are developed by integrating geoscience and petrophysical datasets while maintaining consistency with the geological framework, including facies distribution and rock types. The course emphasizes the generation of key reservoir properties such as porosity, permeability, and fluid saturation, ensuring alignment between geological interpretation and petrophysical characterization.
Through structured workflows and real field case examples, the training introduces uncertainty evaluation, sensitivity analysis, and upscaling techniques. The workflow and examples will be demonstrated using PETREL applications to illustrate industry practices. For organizations with access to PETREL licenses, the course can be adapted to include practical sessions using the software.
By the end of the course, participants will be able to:
- Understand the end-to-end workflow and principles of Integrated Reservoir Modelling
- Integrate geological, petrophysical, and reservoir engineering data into a unified modelling framework
- Develop static reservoir models that reflect geological heterogeneity and reservoir complexity
- Generate consistent reservoir property models including porosity, permeability, and saturation
- Understand uncertainty and sensitivity analysis concepts and appropriate upscaling approaches for simulation readiness
This course is designed for technical professionals involved in subsurface modelling and field development studies within the upstream oil and gas industry. It is particularly relevant for individuals who work with multidisciplinary datasets and contribute to reservoir modelling, reservoir characterization, and development planning activities.
The primary audience includes Reservoir Modelling Specialists, Reservoir Engineers, Geologists, Geophysicists, and Petrophysicists. These professionals are typically involved in integrating geological frameworks, well data, seismic interpretation, and petrophysical analysis into reservoir models used for technical evaluation and decision-making.
The course is also suitable for petroleum engineering and geoscience professionals seeking to strengthen their understanding of integrated modelling workflows. Participants are expected to have basic knowledge of reservoir modelling, and familiarity with PETREL is beneficial but not required. Organizations with access to PETREL may opt to incorporate practical sessions during delivery.
- Intermediate
The course is delivered through instructor-led lectures, structured workflows, and real field case studies. Examples and modelling workflows are demonstrated based on PETREL applications to illustrate how integrated reservoir models are developed and validated in practice. Concept discussions are supported by case-based explanations and guided walkthroughs. Where participants or organizations have access to PETREL licenses, the course can be adapted to include optional hands-on sessions.
Your Expert Course Leader is a reservoir modelling specialist and serves as the Principal Consultant and Worldwide Operations and Business Development Manager at his consultancy firm. Since 1997, he has worked as an international consultant supporting oil and gas companies across the United States, Middle East, Russia, South America, and Asia.
He holds a Bachelor of Science in Mechanical Engineering and both a Master of Science and Ph.D. in Petroleum Engineering from the University of Tulsa, USA. His academic background supports his technical expertise in reservoir engineering and modelling.
His expertise focuses on integrated reservoir modelling for both carbonate and clastic reservoirs, applying geostatistical methodologies to combine multidisciplinary subsurface datasets including seismic, geological, petrophysical, and reservoir engineering data.
His work supports key technical activities such as history matching, production forecasting, and field development planning (FDP). He has also contributed to the development of customized reservoir modelling software solutions, including PETREL plug-ins using the OCEAN platform.
He is also an active contributor to technical publications in reservoir characterization and modelling and has been recognized for his training excellence, receiving the Schlumberger-NExT Top Instructor of the Year Awards for three consecutive years (2011–2013), based on multinational participant feedback.
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
Integrated Reservoir Modelling (IRM) combines geology, geophysics, petrophysics, and reservoir engineering into one process. As a result, it gives teams a clear view of the subsurface. It also helps them understand reservoir structure, properties, and fluid flow.
In reservoir modeling, teams combine subsurface data to keep results consistent. For example, Integrated Reservoir Modelling (IRM) links seismic data, well logs, and geological data. Therefore, teams reduce errors and improve accuracy. In addition, this process helps them make better predictions.
Static reservoir modeling shows the structure of the reservoir. It maps properties like porosity and permeability. As a result, teams get a clear picture. In contrast, dynamic reservoir modeling shows how fluids move over time. It also predicts reservoir performance. Because dynamic models depend on static models, teams must first build accurate static models. Therefore, both models work together to guide decisions.
Uncertainty affects reservoir modeling at every stage. It comes from limited data and different views. As a result, it can change results and decisions. Therefore, teams test different cases and review results to reduce risk and improve confidence.
Integrated Reservoir Modelling (IRM) uses many data types. However, these data sets may not match. Therefore, teams must check and align them. At the same time, teams must keep models consistent. In addition, they must manage uncertainty. As a result, teams run regular checks during the workflow. This process helps them build reliable models.
Integrated Reservoir Modelling (IRM) provides a clear view of the reservoir. Therefore, teams can make better forecasts. In addition, teams use this approach to place wells and improve recovery. They also support both technical and cost decisions. As a result, it helps increase field value and performance.
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