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Reservoir Characterization

Upcoming Training Courses

Reservoir Characterization

18–22 May 2026 • All Day (US Central) • Virtual

Early Bird Rate until 18 Apr. 2026. $850 Virtual (includes sponsorship of a university student to attend at no cost). After 18 Apr. 2026, $1000 Virtual (includes student sponsorship).

Request a Training Course (In-House or Public)

Interested in this course for in-house training or even a public version at a different time than that scheduled? We can customize this course to fit your company’s needs, including course material, format (in-person, virtual, or hybrid), time zone, number of days, etc. Request a training program, either public or in-house training, via the form link below.

Course Details

Course Duration: 5 days, including lecture-based modules and hands-on exercises

Who Should Attend: Geologists and Geophysicists, Exploration/Production Managers, and Reservoir Engineers

You Will Learn: The fundamental tenets and applications of the development and production of hydrocarbon reserves from an integrative approach, with emphasis on geological, geophysical, and petrophysical datasets.

Course Summary: Participants will be exposed to the latest geological, geophysical, and logging technologies to understand better their role in the quantification and exploitation of hydrocarbon reserves. Pros and cons of key datasets will be addressed, with emphasis on need for integrative studies. Significant worldwide case histories are included, as well as several exercises designed to provide hands-on experience, including simulated real-time reservoir characterization and navigation while drilling.

General Outline:

  • Introduction to Reservoir Characterization—the need for sound geological reservoir models and their critical application toward reservoir characterization and exploitation, with worldwide case examples.
  • Geological Principles and Reservoir Formation—review of the critical geological factors in the formation and charging of a hydrocarbon reservoir, including key topics in sedimentology, stratigraphy, structure, and fluids.
  • Integrated Reservoir Characterization and Quality Prediction—emphasis on well log analysis and mapping techniques used in reservoir mapping, quality prediction, and characterization, as well as integration of data from additional sources, including core and seismic data. Characterization of uncertainty will be addressed as well, including applications of deterministic and probabilistic petrophysics.
  • Reservoir Simulation and Modeling—use of simulation and modeling studies, including process-oriented, empirical, and statistical/analytical models, for improved reservoir characterization and management.
  • Enhanced/Improved Recovery (EOR/IOR) Techniques—a treatment of various EOR/IOR techniques and the application of geology toward the decision-making process, including fracture stimulation applications and techniques, and flood and other operations.
  • Geosteering and Reservoir Navigation: “Real-Time” Reservoir Characterization—discussion of modern advancements in LWD real-time technology, including drill string configurations, image log analysis, azimuthal propagation resistivity, dip calculation, and bit positioning, and drilling technology, including rotary steerable units and extended reach drilling.
  • Case Histories—detailed treatment of worldwide case histories toward sound reservoir prediction, characterization, navigation, and management.