Plant Automation and Process Control
Join our FREE live webinar on Plant Automation and Process Control!
Learn how to optimize operations, enhance efficiency, and implement cutting-edge automation technologies.
Gain insights from industry experts on best practices and innovative solutions to stay ahead in the competitive landscape.
Perfect for professionals looking to modernize their plant operations.
Register now to secure your spot!
Webinar Objectives
- Understand the fundamentals of plant automation in controlling physical and chemical processes.
- Explore the role of process control in enhancing consistency, economy, and safety in production.
- Learn how automation systems are applied in refineries, petrochemicals, fertilizer, and power plants.
- Discover strategies to improve operational efficiency and reliability beyond manual control.
- Gain insights into the latest advancements and best practices in plant automation and process control.
About the Presenter
The webinar is delivered by an industry in plant automation, process engineering, and digital transformation within oil and gas operations. With a strong background in designing, implementing, and optimizing automation systems, the presenter brings practical knowledge and proven expertise to support professionals in advancing their technical and operational capabilities.
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Time : 9.30 PM IST | Duration : 60 mins
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.