The course will cover identifying and evaluating appropriate seismic attributes for mapping reservoir properties and integration of the attribute output with petrophysical data to create quantitative reservoir models.
| Code | Date | Location | price (€)* |
|---|---|---|---|
| GEO 114 | 9 - 13 Oct 2023 | Online | 1790 |
| GEO 114 | 13 - 17 Nov 2023 | Oslo | 3990 |
| GEO 114 | 2 – 6 Sep 2024 | Online | 1990 |
| GEO 114 | 7 – 11 Oct 2024 | Online | 1990 |
| GEO 114 | 5 – 9 Aug 2024 | Copenhagen | 3990 |
| GEO 114 | 11 – 15 Nov 2024 | Oslo | 3990 |
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
The course will cover identifying and evaluating appropriate seismic attributes for mapping reservoir properties and integration of the attribute output with petrophysical data to create quantitative reservoir models. We will also cover the use of well wireline and core data to create rock physics models and the correlation of those models with seismic data with the final aim of creating an integrated reservoir model. The theory and application of both post and pre-stack (AVO) attributes will be covered. We will look at deterministic and stochastic seismic inversion methodology to produce reservoir elastic parameters and using those parameters to convert to lithologies.
We will also cover the evaluation of the uncertainty in the output. We will look at using multiple attributes in supervised and unsupervised classification with linear and artificial intelligence methods. We will also cover time-lapse (4D) and multi-component seismic (3C) and azimuthal inversion for fracture densities.
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 Texture 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
o 4D seismic
o Advanced inversions 4D-AVA-3C
o Latest developments
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 the 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.
This course is designed for geologists, geophysicists and exploration engineers involved in new ventures or exploration who require the skills to evaluate petroleum systems and their hydrocarbon potential. Depends on their experience they should attend to introduction, ntermediate and advance level
o Intermediate
After completing this course, participants will
o Understand the basics of the relation between rock physics and seismic attributes
o Understand the theory behind the creation of seismic attributes and interpretation of attributes
o Understand the theory and application of seismic inversion
o Understand the application of artificial intelligence in classifying attributes o Understand the contribution of seismic controlled inputs to the quantitative reservoir models
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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