Big Data for Reservoir Surveillance
This workshop examines how big data technologies are reshaping reservoir surveillance, enabling faster insights and more accurate decision-making. Participants will learn how to leverage data integration, analytics, and visualization tools to monitor reservoir performance and optimize field development strategies.
Workshop Objectives
• Understand the role of big data in modern reservoir surveillance.
• Learn methods for integrating and analyzing large, diverse datasets.
• Explore applications of predictive analytics and real-time monitoring.
• Apply data-driven insights to enhance production and reservoir management.
About the Presenter
The workshop will be delivered by an experienced professional in reservoir engineering, data analytics, and digital oilfield solutions. Combining technical knowledge with practical field experience, the presenter shares actionable strategies to help participants unlock value from data in reservoir surveillance.
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.