Offshore Drilling and New Technologies Application
This webinar provides a focused overview of emerging technologies shaping the future of offshore drilling. It examines how innovation in automation, digital monitoring, and advanced materials is improving safety, efficiency, and cost-effectiveness in offshore operations. Participants will gain practical insights into technology adoption, performance optimization, and the evolving digital ecosystem supporting modern offshore projects.
Webinar Objectives
• Overview of offshore drilling systems
• Pre-BOP and post-BOP operations
• Top-hole drilling operation
• New technologies applicable for offshore drilling systems (DGD, CML, etc.)
About the Presenter
Dr. Behzad Elahifar Associate Professor at NTNU (Geoscience and Petroleum Engineering Department)
Education:
Ph.D. in Drilling Engineering, University of Leoben, Austria, 2013
MEng in Petroleum Well Engineering, Curtin University of Technology, Australia, 2006
BSc in Drilling Engineering, Petroleum University of Technology, Iran, 2004
Working Experience:
2019 - Present: Associate Professor, Geoscience and Petroleum Eng Department (NTNU)
2019: Project Manager, NOV (National Oil Well Varco) Company
2014 - 2019: Project Manager/Drilling Engineer (MPD), Enhanced Drilling Company
2013 - 2014: Drilling Engineer, Advanced Drilling Solutions Company (TDE)
2009 - 2013: Drilling Instructor/Researcher, University of Leoben
2006 - 2009: Drilling Supervisor, NIOC (National Iranian Oil Company
2006: Night Drilling Supervisor, PPZ (Pars Petro Zagros)
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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.