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Seismic Inversion and Attributes

06 – 10 Jan. 2025Abu Dhabi14 – 18 July 2025Dubai24 – 28 Nov. 2025Abu 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