HR-280 HampsonRussell Advanced Seismic Reservoir Characterization Workshop



CGG Office 

Kuala Lumpur, Malaysia


Mona Hamzah


Terms & Condition

  • Price is inclusive of breakfast, lunch, refreshments and training materials
  • Travel and accommodation are not included but recommendations can be provided
  • Training placements will only be confirmed after we receive an official company purchase order PO or with credit card details
  • With purchase order and credit card payment, we will provide an invoice
  • Invoice could be issued from any legal entities of CGG in the Far East region as appropriate
  • For credit card payment, an email will be sent for you to complete the details to make a secured online payment transaction
  • Price is net of any applicable tax and payment must be made in the specified currency
  • Credit card payment will be processed in USD
  • Cancellations will not be refunded. You may send a substitute delegate with no penalty but must inform in writing of the change
  • All courses are subject to demand , and CGG GeoSoftware reserves the right to change, postpone or cancel any course but undertakes to give as much warnings as possible


Geoscientists, explorationists and technical staff wanting to understand the theory behind essential reservoir characterization techniques and how to implement this knowledge into practical E&P project workflows


This course covers the theory and practical use of EMERGE, GeoSI and ProAZ, interactive programs that are fully linked to the HRS suite of software. Topics covered include:
• Seismic Attribute Analysis - Provides a comprehensive review of how to use seismic attributes to build
robust relationships for prediction of petrophysical volumes
• Introduction to stochastic inversion and lithology prediction through multiple plausible realizations
• Advanced reservoir characterization - Explains on how to perform Azimuthal AVO analysis, the relationship
between fractures and anisotropy

Learning Objectives

• Provides a mechanism for the user to derive complex relationships between seismic attributes and
petrophysical parameters
• Application of neural network technology in well log prediction, petrophysical volume generation and
seismic lithology classification
• Basic introduction to theory and practical use of stochastic inversion
• Provides a comprehensive look at the theory and application of the AVAZ method, a method increasing
interest with the growing importance for unconventional and fractures reservoirs



Number of Participants


Experience with HampsonRussell software is NOT a prerequisite for this workshop.

Software Used

Emerge, Emerge Deep Machine Learning (DFNN), GeoSI and ProAZ

Course Format

Lecture and practical software exercises





Kuala Lumpur, Malaysia


19 ~ 23 Oct, 2020


09:00 - 17:00


US $ 4,500