Seismic Data Management
This session addresses the principles and practices of seismic data management in the oil and gas industry. Participants will explore workflows for acquiring, processing, storing, and delivering seismic data, with emphasis on ensuring data quality, accessibility, and long-term value. Practical insights highlight the importance of structured data management for exploration and asset development.
Webinar Objectives
• Understand the lifecycle of seismic data from acquisition to archiving.
• Review data standards, formats, and quality control practices.
• Examine technologies for efficient storage, retrieval, and transfer of seismic datasets.
• Explore strategies for safeguarding data integrity and supporting effective decision-making.
About the Presenter
The presenter is an experienced professional in geoscience data management with a strong background in seismic workflows and exploration support. Their work spans technical operations, data governance, and system implementation, ensuring a balanced perspective on both technical and organizational aspects of seismic data management.
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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.