Data Science for Petroleum Geoscientists
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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
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Advanced Multi Wells Analysis & Formation Evaluation
This webinar delivers a concise and practical overview of advanced techniques for multi-well data analysis and formation evaluation. Participants will gain insights into integrating geological, petrophysical, and production data to better understand reservoir characteristics and performance. The session emphasizes data-driven approaches for improved reservoir interpretation, well placement, and production optimization.