Course Overview
This 5-day expert-led program equips geoscientists, data analysts, and petroleum engineers with advanced skills in seismic interpretation, reservoir characterization, and geophysical modeling. Participants will gain hands-on experience with industry-standard software and techniques for processing, analyzing, and interpreting seismic data to support exploration and field development decisions.
Course Objectives
Upon completion, participants will be able to:
- Process and quality-check 2D/3D seismic data
- Interpret seismic sections for structural & stratigraphic features
- Build velocity models for time-depth conversion
- Apply seismic attributes for reservoir characterization
- Integrate well log data with seismic interpretation
- Perform basic seismic inversion for rock property estimation
- Evaluate uncertainties in seismic interpretation
- Apply machine learning techniques to seismic analysis
Who Should Attend
This course is essential for:
- Geophysicists
- Exploration Geologists
- Petroleum Engineers
- Seismic Data Processors
- Reservoir Modelers
- Energy Data Scientists
- Geoscience Technicians
Course Modules
Module 1: Seismic Fundamentals
- Wave propagation theory
- Acquisition geometries (2D/3D/4D)
- Seismic resolution limits
- Data processing workflow
Module 2: Structural Interpretation
- Fault identification and mapping
- Horizon tracking techniques
- Structural framework building
- Trap analysis fundamentals
Module 3: Stratigraphic Interpretation
- Sequence stratigraphy principles
- Channel and fan system identification
- Unconformity recognition
- Seismic facies analysis
Module 4: Seismic Attributes
- Geometric attributes (dip, curvature)
- Physical attributes (amplitude, impedance)
- Spectral decomposition applications
- Multi-attribute analysis
Module 5: Velocity Modeling
- Time-depth relationship fundamentals
- Well-to-seismic tie methods
- Velocity model building approaches
- Depth conversion uncertainties
Module 6: Reservoir Characterization
- Seismic inversion basics
- AVO analysis fundamentals
- Fluid substitution modeling
- Reservoir property prediction
Module 7: Emerging Technologies
- Machine learning for seismic facies
- Cloud-based interpretation platforms
- Distributed acoustic sensing (DAS)
- Quantitative interpretation advances