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5 Days
o Introduction to QI and reservoir characterization
o Rock physics for seismic reservoir characterization
o Seismic concept review
o Data processing for QI
o Seismic well ties
o Sequence stratigraphy and seismic interpretation
o Post-stack Seismic attributes introduction
o Instantaneous attributes
o exture attributes
o Spectral decomposition
o Blending attributes
o Tuning and thin bed models
o AVO theory
o Forward modelling of AVO
o Fluid substitution
o Pre-stack AVO attributes
o Cross plotting of attributes and geobody interpretation
o Multi attributes
o Supervised and unsupervised classification
o Low frequency models
o Deterministic inversion
o Lithology determination
o Stochastic inversion
o4D seismic
o Advanced inversions 4D-AVA-3C
oLatest developments
This five-day comprehensive course is designed to provide in-depth knowledge and practical skills in well test analysis and interpretation for petroleum engineers. It covers key concepts, methodologies, and advanced techniques required to evaluate reservoir performance, characterize reservoir properties, and optimize production. The course combines theoretical instruction with hands-on exercises, enabling participants to interpret real-world data and apply their knowledge to complex reservoir scenarios. The program also focuses on identifying and evaluating appropriate seismic attributes for mapping reservoir properties and integrating attribute results with petrophysical data to build quantitative reservoir models. Participants will learn how to use well logs and core data to develop rock physics models and correlate them with seismic data to construct integrated reservoir models.
Both post-stack and pre-stack (AVO) attribute theory and applications will be covered. The course includes deterministic and stochastic seismic inversion methodologies to derive elastic reservoir parameters and convert them into lithological interpretations, along with techniques for evaluating uncertainty in the results. In addition, the course explores the use of multiple attributes in supervised and unsupervised classification workflows, including linear and artificial intelligence methods. Advanced topics such as time-lapse (4D) seismic, multi-component (3C) seismic, and azimuthal inversion for fracture density estimation will also be addressed.
| Code | Date | Location | price (€)* |
|---|---|---|---|
| GEO 114 | 19 – 23 Oct 2026 | Online | 3330 |
| GEO 114 | 7 – 11 Sep 2026 | Online | 3300 |
| GEO 114 | 2 – 6 Nov 2026 | Oslo | 4400 |
| GEO 114 | 3 – 7 Aug 2026 | Copenhagen | 4400 |
This course is design for geologists, geophysicists and exploration engineers involved in new ventures or exploration who require the skills to evaluate petroleum systems and their hydrocarbon potential.
o Intermediate
LEARNING OBJECTIVES
After completing this course, participants will:
o Understand basics of relation between rock physics and seismic attributes.
o Understand theory behind creation of seismic attributes and interpretation of attributes.
o Understand theory and application of seismic inversion.
o Understand application of artificial intelligence in classifying attributes.
o Understand the contribution of seismic controlled inputs to quantitative reservoir models.
Registration is now OPEN!
Ph.D. students, group and early bird registrants are eligible to DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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Dr. Andrew Ross has over 30 years of experience in seismology and geophysics in both industry and academia. He has worked with using seismic data to determine subsurface rock properties at all scales in the Earth, from reservoir to whole mantle scales. Andrew has a Ph.D. in Geological Sciences from Cornell University and an M.Sc. in Exploration Geophysics from Imperial College, Bachelors (Hons.) in Physics from Hertford College, Oxford. He had a postdoctoral research position at the University of Copenhagen from 1999 to 2003. He has worked for Hess as a seismic interpreter, for Ødegaard supporting seismic inversion, and for Schlumberger supporting inversion and Petrel. Since 2015, he has been an independent consultant running training in seismic interpretation, inversion attributes and quantitative interpretation.
