Python for Upstream Oil & Gas Projects
This workshop provides in-depth, practical knowledge tailored for professionals in the oil and gas sector. Participants will engage with advanced concepts, case studies, and industry best practices designed to enhance operational efficiency, ensure compliance with standards, and strengthen decision-making in complex field environments.
Workshop Objectives
• Deepen technical understanding of specialized processes and systems.
• Apply industry standards, safety protocols, and regulatory requirements effectively.
• Strengthen analytical and problem-solving skills through real-world scenarios.
• Enhance professional competence for leadership and operational roles.
About the Presenter
The workshop is led by an experienced industry professional with across upstream, midstream, and downstream operations. With a background in both technical and management roles, the presenter brings a strong track record of delivering specialized training, aligning practical knowledge with evolving industry requirements, and supporting professionals in advancing their careers.
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.