Artificial Lift for Heavy Oil
This webinar focuses on the application of artificial lift technologies in heavy oil production, addressing the challenges of high viscosity, sand production, and energy efficiency. Participants will gain a practical understanding of selecting, designing, and managing lift systems suited for heavy oil reservoirs. The session highlights performance optimization, system reliability, and cost-effective field implementation strategies.
Webinar Objectives
• Understand the key challenges of heavy oil production and lift system selection.
• Learn design and operation principles for ESP, PCP, and thermal lift methods.
• Explore techniques for improving system efficiency and reducing downtime.
• Apply best practices to enhance production rates and operational performance.
About the Presenter
The session is conducted by an experienced industry professional with a background in production engineering and artificial lift design. The presenter combines technical knowledge with field experience to deliver practical insights for professionals aiming to improve heavy oil recovery and lift system performance.
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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.