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.
Applied Python for Oil & Gas
This workshop teaches practical Python programming tailored for the oil and gas industry. Participants will learn to automate workflows, manage large datasets, perform petrophysical and production data analysis, and integrate Python with industry-standard software tools. The course emphasizes real-world applications such as reservoir monitoring, production optimization, and data-driven decision-making.