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.
Workshop Objectives
Introduce data storage concepts and the data landscape in oil and gas operations
Teach the fundamentals of relational databases and working with SQL for production data
Demonstrate data querying, filtering, aggregation, and joins for field-level insight
Enable participants to build Power BI dashboards backed by SQL databases
Integrate multiple data sources using Power BI and Python for automated reporting
Create dashboards and visualizations in Power BI, Matplotlib, and Plotly
Guide the design of intuitive, engineer-friendly dashboards and data analytics workflows
About the Presenter
Nashat Jumaah Omar - 12+Years of Experience In Oil & Gas Industry
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.