Evaluating & Developing Heavy Oil Resources
Heavy oil resources demand specialized approaches for effective evaluation and development due to their complex geology and challenging production characteristics. This webinar provides an advanced overview of heavy oil reservoir properties, recovery mechanisms, and development strategies. Participants will gain a clear understanding of the technologies and methods used to assess reservoir potential, improve recovery efficiency, and address the unique operational challenges of heavy oil production.
Webinar Objectives
• Understand the key properties and challenges of heavy oil reservoirs.
• Explore evaluation techniques for assessing heavy oil potential.
• Review primary, secondary, and enhanced recovery methods.
• Identify strategies to optimize production while managing operational risks.
About the Presenter
The presenter is a seasoned professional in heavy oil and unconventional resources. With a strong background in reservoir engineering, recovery processes, and field operations, they bring both technical depth and practical insight. Their experience ensures participants gain actionable knowledge relevant to heavy oil development worldwide.
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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.