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 with expertise 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

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