Seismic Fundamentals

X:XX Hours
This course provides earth scientists with essential knowledge and skills in 3D seismic interpretation for subsurface characterization. Designed for industry professionals, the course combines fundamental theory with real-world applications through a large number of case studies and visualizations. You’ll learn proven workflows for structural and stratigraphic interpretation, attribute analysis, and reservoir characterization across different depositional environments.
The curriculum moves from basic principles through advanced techniques, covering critical topics such as well-to-seismic integration to amplitude analysis and direct hydrocarbon indicators. Special attention is given to recognizing common interpretation pitfalls and understanding new technologies, including AVO analysis, 4D monitoring, and machine learning applications. This course will enhance your ability to extract geological insights from seismic data and make well-informed decisions for exploration and production projects.

01-01 – Introduction to Seismic Wave Reflection and Transmission
01-02 – Rock Physics and Wave Propagation Fundamentals
01-03 – Understanding the Seismic Wavelet
01-04 – Acoustic Impedance, Reflection Coefficients, and Seismic Resolution
01-05 – Seismic Acquisition Methods
01-06 – A Quick Overview of Seismic Processing Steps
01-07 – Seismic Data Visualization and Display Techniques
01-08 – Integrating Well Data: Synthetic Seismograms and Well Ties

02-01 – Structural Interpretation Principles
02-02 – Best Practices in Structural Interpretation
02-03 – Sequence Stratigraphy in Seismic Data
02-04 – Recognition and Analysis of Seismic Facies
02-05 – Case Studies in Structure and Stratigraphy
02-06 – Applied Seismic Geomorphology
02-07 – Seismic Analysis Summary

03-01 – Fundamentals and Classification of Seismic Attributes
03-02 – Instantaneous and Complex Trace Attributes
03-03 – Visualization Techniques for Attribute Analysis
03-04 – Geometric Attributes and Their Applications
03-05 – Frequency Domain Analysis: Spectral Decomposition
03-06 – Enhancement and Filtering of Attribute Data
03-07 – Multi-Attribute Integration and Interpretation

04-01 – Fluvial-Deltaic System Recognition
04-02 – Shallow Marine and Shelf Environments
04-03 – Deepwater Depositional Elements
04-04 – Carbonate Platform Architecture in Seismic
04-05 – Carbonate Shoals, Ridges, Grooves and Canyons
04-06 – Karst System Identification
04-07 – Chert and Chalk

05-01 – Recognition and Analysis of Amplitude Anomalies
05-02 – AVO Theory and Applications for Fluid Discrimination
05-03 – Seismic Inversion Basics
05-04 – Time-Lapse Seismic Monitoring
05-05 – Machine Learning Applications in Seismic Analysis

06-01 – Common Pitfalls in Seismic Interpretation
06-02 – Acquisition and Processing Artifacts in Seismic Interpretation
06-03 – Data Conditioning Techniques
06-04 – Future Trends in Integrated Interpretation

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