Artificial Lift and Production Optimization for Unconventional Assets
This webinar provides a focused overview of artificial lift applications and production optimization strategies tailored for unconventional reservoirs. Participants will learn how to address the unique challenges of low-permeability formations, variable production profiles, and complex well designs. The session emphasizes practical approaches to selecting and managing lift systems that enhance recovery and sustain production efficiency in unconventional assets.
Webinar Objectives
• Understand artificial lift system selection and design for unconventional wells.
• Learn optimization techniques for improving production in shale and tight reservoirs.
• Evaluate performance data to identify and resolve lift-related challenges.
• Apply best practices to maximize recovery and extend well life in unconventional assets.
About the Presenter
The session is conducted by an experienced industry professional with a strong background in production engineering and unconventional resource development. The presenter integrates technical understanding with field-based experience to provide clear, practical insights for professionals seeking to optimize production performance in unconventional operations.
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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.