Basin Modelling and Thermal History
This session focuses on basin modelling and thermal history analysis, essential tools for evaluating hydrocarbon generation and maturation. Participants will learn how numerical models reconstruct burial, temperature, and pressure histories to support petroleum system assessment and exploration decisions.
Webinar Objectives
• Understand the fundamentals of basin modelling and thermal history reconstruction.
• Review methods for simulating burial, pressure, and heat flow through time.
• Examine applications in source rock maturation, hydrocarbon generation, and migration.
• Explore how basin models reduce exploration risk and guide play evaluation.
About the Presenter
The presenter is an experienced petroleum geoscientist in basin modelling and petroleum system analysis. Their background includes integrating geological, geophysical, and geochemical data to develop robust models that inform exploration and field development strategies.
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Time : 9 PM Indian Time | Duration : 90 Minutes
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Modern plants are complex, fast-moving, and unforgiving. Engineers who walk in with only textbook knowledge often struggle in their first months on the job — and the cost of that learning curve is paid in safety incidents, lost production, and slow career progression.This webinar explores how digital twin technology and Operator Training Simulators (OTS) are transforming the way engineers prepare for real plant operations. Drawing on his experience as both an OTS product manager and a former ethylene plant operator, Daian Khamitov will demonstrate how RTsim digital twins replicate live plant behavior — allowing engineers to practice startups, shutdowns, process upsets, and emergency scenarios without ever putting an asset, a person, or production at risk.Whether you are a student stepping toward your first role, a young engineer building competency, or a training manager planning your team's next development cycle, this session will give you a clear view of what modern simulator-based training looks like — and how it builds the operational confidence that real plants demand.