Python for Petroleum Data Analytics

This workshop introduces the application of Python in petroleum data analytics, focusing on practical techniques for handling, analyzing, and visualizing complex datasets common in oil and gas operations. Participants will gain hands-on experience with tools that support faster decision-making, improved forecasting, and enhanced operational efficiency.
Workshop Objectives
• Apply Python libraries for data cleaning, analysis, and visualization in petroleum contexts.
• Develop workflows for interpreting production, reservoir, and operational datasets.
• Strengthen predictive analysis and modeling skills to support technical and business decisions.
• Enhance data-driven approaches for efficiency, safety, and cost optimization.
About the Presenter
The workshop is conducted by a seasoned industry expert with deep experience in petroleum engineering, data science, and applied analytics. The presenter combines technical expertise with practical insights, equipping professionals to integrate Python-based solutions into real-world oil and gas challenges.
Introduction to AI in Oil & Gas: Opportunities and Challenges
A 2-day workshop designed for reservoir engineers, geoscientists, data analysts, and managers in Exploration & Production (E&P). Learn AI's transformative role in the upstream lifecycle through case studies, hands-on Python/ML demos, and interactive discussions on adoption strategies.