Seismic Inversion and Attributes
06 – 10 Jan. 2025 | Abu Dhabi | 14 – 18 July 2025 | Dubai | 24 – 28 Nov. 2025 | Abu Dhabi |
Learning Objectives
Upon successful completion of this course, participants will be able to:
1. Fundamentals of Seismic Inversion
- Understand the concept of seismic inversion and its role in subsurface imaging.
- Differentiate between post-stack and pre-stack seismic inversion techniques.
- Learn how seismic amplitudes relate to rock and fluid properties.
2. Seismic Inversion Techniques and Workflows
- Apply band-limited, colored, and sparse-spike inversion techniques.
- Use pre-stack inversion (simultaneous and elastic) for lithology and fluid discrimination.
- Integrate AVO (Amplitude Versus Offset) and inversion workflows for reservoir characterization.
3. Seismic Attributes and Their Interpretation
- Classify seismic attributes into:
- Amplitude attributes (RMS, envelope, spectral decomposition).
- Geometric attributes (coherence, curvature, dip/azimuth).
- AVO attributes (Intercept/Gradient, Fluid Factor, Lambda-Rho, Mu-Rho).
- Frequency-related attributes (instantaneous frequency, attenuation).
- Use seismic attributes for fault detection, reservoir delineation, and fracture analysis.
4. Rock Physics and Petrophysical Calibration
- Correlate inverted seismic properties with well log data.
- Establish relationships between seismic impedance, porosity, and fluid content.
- Apply rock physics models for lithology discrimination and fluid prediction.
5. Seismic Inversion and Attribute Applications in Reservoir Characterization
- Predict sand and shale distributions using elastic impedance inversion.
- Identify direct hydrocarbon indicators (DHIs) from seismic attributes.
- Integrate seismic inversion with geostatistical modeling for reservoir estimation.
6. Advances in Machine Learning and AI for Seismic Interpretation
- Explore AI-driven seismic inversion and attribute classification.
- Implement deep learning techniques for seismic feature extraction.
- Use unsupervised and supervised learning for attribute clustering and reservoir prediction.
7. Case Studies and Practical Applications
- Analyze real-world seismic inversion and attribute interpretation projects.
- Participate in hands-on seismic data processing and interpretation using software.
- Develop a seismic inversion workflow for a selected basin or reservoir.
Target Audience
- Geophysicists and seismic interpreters
- Reservoir geologists and petrophysicists
- Subsurface data analysts
- Exploration and development teams
- Energy consultants specializing in seismic reservoir characterization