Reservoir Characterization
This workshop focuses on the principles and techniques of reservoir characterization, integrating geological, geophysical, and petrophysical data to build reliable reservoir models. Participants will gain insights into how characterization supports reservoir evaluation, production forecasting, and field development planning.
Workshop Objectives
• Understand the fundamentals of reservoir characterization.
• Integrate core, log, seismic, and production data for reservoir evaluation.
• Build and interpret reservoir models to assess heterogeneity and performance.
• Apply reservoir characterization in forecasting and development planning.
About the Presenter
The presenter is a petroleum industry professional in reservoir evaluation, geological modeling, and field development. With significant practical experience and a strong background in technical training, the presenter emphasizes the application of multidisciplinary data for effective reservoir management.
Applied Python for Oil & Gas
This workshop teaches practical Python programming tailored for the oil and gas industry. Participants will learn to automate workflows, manage large datasets, perform petrophysical and production data analysis, and integrate Python with industry-standard software tools. The course emphasizes real-world applications such as reservoir monitoring, production optimization, and data-driven decision-making.