Sequence Stratigraphy: Mapping Sequences on Seismic and Prediction of Reservoir, Seal and Source Rock
Sequence stratigraphy is one of the key methods to identify and characterize different elements of the petroleum system. Seismic profiles are the main type of data used for that interpretation and, when used correctly, the geological evolution can be interpreted and used to predict different rock types.
Webinar Objectives
You will learn to identify, on seismic, step-by-step, stratal terminations, relevant surfaces, shelf edge trajectories and systems tracts. This methodology is key for correct interpretation and is often misused. You will be able to predict the areas more promising for the presence of reservoir, seal and source rock
About the Presenter
Gil Machado holds a degree in Geology and a European Doctorate (PhD) in Stratigraphy and Petroleum Geology and has 12 years of experience in the Energy industry, in exploration projects of Oman, Mozambique, Brazil, Angola, Guinea-Bissau, Senegal, Gabon, Morocco, and other Atlantic basins.
He is an advanced seismic interpreter, including sediment fairway identification, deep water sedimentation characterization, sequence stratigraphy, and prospect generation and risking.
He has worked extensively with well correlation, biostratigraphy, and regional prospective studies and has managed teams and projects in multiple cultural environments.
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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.