Data Science for Petroleum Geoscientists
This session introduces the application of data science in petroleum geoscience, highlighting how advanced analytics and machine learning support exploration and reservoir evaluation. Participants will gain insights into integrating geoscience data with modern computational tools to improve interpretation, reduce uncertainty, and accelerate decision-making.
Webinar Objectives
• Understand the role of data science in exploration and reservoir characterization.
• Review key techniques such as machine learning, pattern recognition, and predictive analytics.
• Examine workflows for integrating geological, geophysical, and petrophysical data.
• Explore practical examples of data-driven approaches in petroleum geoscience.
About the Presenter
The presenter is a skilled professional in geoscience and applied data analytics. Their experience spans both subsurface evaluation and digital technologies, providing a balanced perspective on combining domain knowledge with advanced computational methods for improved outcomes.
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Time : 9 PM Indian Time | Duration : 90 Minutes
AVO Analysis and Seismic Inversion
This webinar introduces geoscientists and E&P professionals to the fundamentals of Amplitude Variation with Offset (AVO) analysis and seismic inversion, covering key theories, data requirements, and practical applications. It previews our 5-day, 4-hour-per-day training, focusing on wavelet extraction, low-frequency modeling, and advanced inversion techniques for reservoir characterization.