| Code | Date | Format | Currency | Team of 10 Per Person* |
Team of 7 Per Person* |
Early Bird Fee Per Person |
Normal Fee Per Person |
|---|---|---|---|---|---|---|---|
| PE2144 | 16 - 20 Nov 2026 | Kuala Lumpur, Malaysia | SGD | 5,331 | 5,579 | 5,999 | 6,199 |
| PE2144 | 16 - 20 Nov 2026 | Kuala Lumpur, Malaysia | USD | 4,213 | 4,409 | 4,699 | 4,899 |
*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
PE2144Date
16 - 20 Nov 2026Format
Kuala Lumpur, MalaysiaCurrency
SGDTeam 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
PE2144Date
16 - 20 Nov 2026Format
Kuala Lumpur, MalaysiaCurrency
USDTeam of 10
Per Person*
4,213
Team of 7
Per Person*
4,409
Early Bird Fee
Per Person
4,699
Normal Fee
Per Person
4,899
*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
There are various kinds of geophysical data available, broadly divided into seismic and non-seismic or multi-physics data. While multi-physics methods such as gravity, magnetics, electrical, electromagnetic and spectral methods provide valuable complementary information, seismic remains the principal geophysical method used in the energy industry. Non-seismic methods are also important in shallow subsurface applications including engineering, pollution mapping, archaeology, geothermal energy and CO₂ storage.
This 5-day course covers the fundamentals of seismic acquisition, processing and interpretation. Participants will learn how seismic waves are generated, recorded and processed, and how the resulting data relates to subsurface rock and pore-fluid properties and supports the interpretation of subsurface structure and pore-space content. The programme covers both fundamental principles and advanced seismic methods that support increasingly accurate subsurface interpretation.
The course also introduces participants to modern AI and Machine Learning applications in geophysics. Machine Learning is increasingly important across seismic acquisition, processing and interpretation. Participants do not need to understand the algorithms in detail; instead, the focus is on recognising how these technologies can be used correctly within geoscience workflows. Most exercises use Python, allowing participants to compare alternative methods through practical application.
A key theme of the course is collaboration between disciplines. By developing a shared understanding of seismic terminology, approaches and workflows, geologists, petrophysicists, geophysicists and reservoir engineers can communicate more effectively, formulate appropriate technical requirements and contribute to better prospect ranking and improved production and infill-well decisions.
By attending this course, the participants will be able to acquire the following:
- Understand the strengths, limitations, risks and applications of seismic and other geophysical methods.
- Explain the key stages of the seismic acquisition, processing and interpretation workflow.
- Understand the potential applications of seismic data and formulate appropriate seismic requirements for prospect and field evaluation.
- Gain awareness of modern seismic technology, including recent developments in Machine Learning and their application in geophysics.
- Communicate more effectively with geophysicists and other subsurface disciplines.
- Apply the learning through practical and illustrative exercises, including comparison of alternative methods.
- Know what questions to ask when assessing the required quality of a seismic project and its role within the broader sequence of E&P activities.
The course is intended for non-geophysicists who have intensive interaction with geophysicists. It may also be of interest to those who want to know about recent progress made in geophysics, partly driven by the use of Machine Learning, leading to advanced imaging results that could not have been imagined a decade ago.
The course will bring to the attention of geologists, petrophysicists, interpreters, geotechnical engineers and reservoir/petroleum engineers an awareness of how the data they work with is acquired and processed by the geophysicist. It will introduce concepts that are important in geophysics and relevant for non-geophysicists to understand, enabling them to communicate more effectively with geophysicists and formulate their requests.
- Basic
The course combines instructor-led presentations, practical exercises and workshop-style discussions to encourage active participation and applied learning. Participants will work through Python and Google Colab-based exercises to explore seismic concepts and compare alternative methods. Each day also includes participant summaries of the previous day’s key learning points, followed by Mentimeter quizzes to reinforce understanding and support knowledge retention.
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.



