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Machine Learning and Data Science for Upstream Professionals

Dates Venues Register
09/02/2025 - 13/02/2025 LONDON

Introduction

You Will Learn

  • Essential terminology specific to data analytics and machine learning
  • Data type and reporting protocols in the oil and gas industry
  • Practical approaches to ensuring and verifying data quality
  • Exploratory data analyses to visualize and quantify relationships as well as identifying outliers
  • The basic principles of common machine learning tools in the petroleum industry
  • Unsupervised learning
  • Supervised learning
  • Reinforcement learning
  • Use cases of subsurface geoscience and engineering data-driven applications
  • Recognize and address pitfalls of data-driven methods in the oil and gas industry

 

Target Audience

Geoscientists, petrophysicists, engineers, or anyone interested in subsurface engineering and geoscience applications of machine learning and data analytics

 

 

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