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 with experience in petroleum engineering, data science, and applied analytics. The presenter combines technical with practical insights, equipping professionals to integrate Python-based solutions into real-world oil and gas challenges.
Oil and Gas Data Management and Dashboarding using SQL, NoSQL, Power BI and Python
This 2-day intensive workshop is designed for the oil and gas industry, focusing on transforming operations with data management and real-time visualization tools. Participants will learn practical workflows for managing, querying, and visualizing oilfield data using SQL, NoSQL, Power BI, and Python. The course features hands-on demonstrations and real-world examples to build data pipelines, connect databases, and design dashboards tailored for engineering and operational excellence in oil & gas.