Applied Python for Oil and Gas Industry
This intensive three-day workshop equips oil and gas professionals with hands-on Python programming skills for industry applications. Participants learn why Python is becoming the future tool for oilfield workflows due to its unmatched flexibility and versatility. The training covers Python fundamentals, data analysis, visualization, and automation relevant to reservoir, production, drilling, and subsurface engineering, using practical workflows and real datasets. No prior Python experience is required, though oil & gas industry knowledge is helpful.
Workshop Objectives
Explain Python’s importance and use cases in oil & gas operations
Provide foundational training in Python programming and data handling
Enable participants to connect and process Excel and tabular data with Python
Teach interactive data visualization and one-line plotting techniques
Introduce structured data management using Pandas and real industry files
Guide practical projects such as production data fitting and forecast modeling
Demonstrate automation, custom calculations, and statistics on production and engineering tables
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.