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3D Seismic Attributes for Prospect Identification and Reservoir Characterization

Dates Venues Register
25/10/2026 - 29/10/2026 DOHA

Introduction

3D Seismic Attributes for Prospect Identification and Reservoir Characterization

This course covers the application of 3D seismic attributes to identify geological prospects and characterize reservoirs, focusing on structural interpretation, lithology prediction, and fluid detection. It includes advanced techniques such as spectral decomposition, inversion, and machine learning, alongside 3D visualization and practical workflows for integrating seismic data with well logs to reduce exploration risk

Course Modules & Topics
  • Introduction to Seismic Attributes: Types (geometric, physical), classification, and their relationship to subsurface features.
  • Data Conditioning and Quality: Impact of acquisition and processing on attribute quality.
  • Geometric Attributes (Structure): Dip/azimuth, coherence, curvature, and edge detection for fault and fracture mapping.
  • Complex Trace Attributes (Stratigraphy/Fluids): Instantaneous amplitude, frequency, and phase.
  • Spectral Decomposition and Thin Beds: Tuning cubes and frequency decomposition to identify thin reservoirs.
  • Seismic Inversion (Rock Properties): Acoustic and elastic inversion for porosity, lithology, and impedance.
  • Multiattribute Analysis and Machine Learning: Using AI/neural networks for facies classification.
  • Visualization and Interpretation: RGB blending, 3D visualization, and integrating attributes into geological models.
  • Case Studies and Practical Workflows: Practical demonstration of attribute application for clastic and carbonate systems.
Key Learning Objectives
  • Identify structural and stratigraphic traps using 3D seismic data.
  • Characterize reservoir properties like porosity, thickness, and lithology.
  • Detect fluid anomalies (gas/oil/water) using AVO and spectral attributes.
  • Apply advanced visualization to improve geological interpretation.
  • Utilize commercial software workflows for reservoir characterization.

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