HampsonRussell Emerge Workshop (HR-240)

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Learning Objectives
- A comprehensive overview of the generation of seismic attributes
- Understanding how to recognize reliable attributes when estimating reservoir parameters
- Application of neural network technology in well log prediction, petrophysical volume generation and seismic lithology classification.
Audience
Geophysicists, geologists, engineers and technical staff who want to understand the theory and learn how to apply these increasingly critical techniques.
Content
This course covers the theory and practical use of Emerge, an interactive program that is fully linked within HampsonRussell software and performs multi-attribute seismic analysis for seismic reservoir characterization using multivariate statistics and neural networks.
Topics covered include:
- Theory of seismic attributes, linear, non-linear and neural network methodologies for attribute selection, cross-validation and attribute ranking.
- Application of attributes to convert seismic data volumes into geological or petrophysical volumes.
- Application of attributes to predict missing log data.
- Attributes exercises using seismic data and well logs.
Duration: 1-day
Software used: Emerge
Course Format: Workshop
Instructor(s): TBD
Prerequisites: None
Number of Participants:
Price:
US $900.00
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Exploration Success Webinar Series: The importance of integrated interpretation | Jul 05, 2022 - Jul 05, 2022 | Online (UTC) Online | Webinar | Add to Calendar |
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CGG Q2 2022 Results | Jul 28, 2022 - Jul 28, 2022 | Paris France | Investor | Add to Calendar |
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