This webinar explores how deep learning techniques are revolutionizing seismic data interpretation in oil and gas. Participants will learn how advanced neural networks improve accuracy in fault detection, reservoir characterization, and subsurface imaging, enabling faster and more reliable decision-making.

Webinar Objectives

• Introduce the fundamentals of deep learning in seismic workflows.
  
• Demonstrate applications in fault detection, facies classification, and imaging.
  
• Highlight advantages over traditional seismic interpretation methods.
  
• Discuss challenges, data requirements, and integration into existing geophysical processes.

About the Presenter

The session is led by a domain expert with extensive experience in geophysics and machine learning. The presenter combines practical seismic knowledge with advanced data science expertise to help participants understand both the technical and applied aspects of deep learning in seismic analysis.

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Date : 30/01/2026 - 30/01/2026
Time : 9 PM Indian Time | Duration : 90 Minutes
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