Petroleum Geosciences > Fundamentals of Seismic for Non-Geophysicists – Classroom Training
Code Date Format Currency Team of 10
Per Person*
Team of 7
Per Person*
Early Bird Fee
Per Person
Normal Fee
Per Person
PE1688 18 - 22 Sep 2023 Kuala Lumpur, Malaysia SGD 5159 5399 5,799 5,999
PE1688 18 - 22 Sep 2023 Kuala Lumpur, Malaysia USD 3955 4139 4,399 4,599

*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 info@asiaedge.net to learn more today!

Code

PE1688

Date

18 - 22 Sep 2023

Format

Kuala Lumpur, Malaysia

Currency

SGD

Team of 10
Per Person*

5159

Team of 7
Per Person*

5399

Early Bird Fee
Per Person

5,799

Normal Fee
Per Person

5,999

Code

PE1688

Date

18 - 22 Sep 2023

Format

Kuala Lumpur, Malaysia

Currency

USD

Team of 10
Per Person*

3955

Team of 7
Per Person*

4139

Early Bird Fee
Per Person

4,399

Normal Fee
Per Person

4,599

*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 Course

There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc – apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry.

In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided.

This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results.

By attending this course, participants will be able to acquire the following:

  • Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these.
  • Be able to communicate more effectively with staff in other disciplines.
  • Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation.
  • Gain an awareness of modern seismic technology.
  • Apply the learning in a series of practical, illustrative exercises.
  • Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities

The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests.

  • Intermediate

Your expert course leader has degree in Geology (University of Leiden), a Master’s degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on “Full wave theory and the structure of the lower mantle”. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the “shadow zone” of the core. These observations were then translated into rock properties of the D” transition zone.

After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments.

After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of “Contractor” software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht.

From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods.

After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies.

In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating “Artificial Intelligence” in his courses, he also developed a dedicated Machine Learning course for geophysics.

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