Core analysis provides essential laboratory data for reservoir characterization, petrophysical interpretation, reserves estimation, production forecasting, enhanced recovery studies, and the evaluation of geological formations for CO₂ storage. The reliability of engineering and subsurface decisions depends heavily on the quality of core selection, preservation, preparation, testing, interpretation, and data quality control.
This course provides a comprehensive introduction to Routine Core Analysis and Special Core Analysis for both conventional petroleum reservoirs and CCS applications. It connects laboratory measurements with field-scale decisions, including porosity, permeability, fluid saturation, wettability, electrical properties, capillary pressure, relative permeability, rock mechanics, injectivity, reservoir performance, and containment integrity.
Participants will learn how to design a fit-for-purpose core analysis program, select representative samples, recognize preparation-related bias, compare laboratory methods, interpret RCA and SCAL data, and identify common sources of uncertainty and poor-quality results. Special consideration is given to differences between hydrocarbon systems and CO₂-brine systems, including geochemical reactivity, capillary entry pressure, stress sensitivity, and caprock integrity.
The course includes practical data interpretation, laboratory data quality control, integration with well logs and reservoir models, and hands-on analysis of real experimental datasets. Participants will develop a structured approach to converting laboratory measurements into reliable recommendations for field development or CO₂ storage projects.
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