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 and Gas Industry
This intensive three-day workshop equips oil and gas professionals with hands-on Python programming skills for industry applications. Participants learn why Python is becoming the future tool for oilfield workflows due to its unmatched flexibility and versatility. The training covers Python fundamentals, data analysis, visualization, and automation relevant to reservoir, production, drilling, and subsurface engineering, using practical workflows and real datasets. No prior Python experience is required, though oil & gas industry knowledge is helpful.