Introduction to the Digital Oilfield
The digital oilfield integrates advanced technologies, real-time data, and automation to enhance decision-making across exploration, drilling, and production. This session provides an introduction to the core concepts, tools, and workflows that define digital oilfield transformation. Attendees will understand how digitalization improves efficiency, reduces costs, and supports safer, more sustainable operations.
Webinar Objectives
• Define the key components of the digital oilfield and their applications.
• Review the role of data integration, analytics, and automation in operations.
• Examine case-driven examples of efficiency, safety, and cost optimization.
• Explore opportunities and challenges in implementing digital strategies.
About the Presenter
The presenter is an experienced professional in digital transformation, production optimization, and oilfield operations. Their work bridges technology and field practice, enabling industry professionals to apply digital solutions effectively across upstream activities.
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Time : 9 PM Indian Time | Duration : 90 Minutes
Python for PTA: Type curves creation
This webinar equips petroleum engineers with practical Python skills to generate Gringarten type curves for Pressure Transient Analysis (PTA), transforming theoretical reservoir concepts into actionable code. Participants will review the diffusivity equation, explore its analytical solutions, master dimensionless parameters, and implement Python scripts for log-log type curve plotting—essential for estimating permeability, skin factor, and reservoir boundaries from well test data.Ideal for reservoir and production engineers seeking data-driven PTA workflows, the session leverages NumPy, Matplotlib, and hydraulic modeling principles to analyze performance data efficiently. Attendees leave with reusable code templates and real-world applications from field operations.