Participants on this Integrated Petrophysics for Reservoir Characterization training course should be for petrophysicists, geologists or engineers who use log data, core data and production data to produce facies and rock types for reservoir modelling. Understanding and developing a workflow synergy between these three disciplines is essential to improve workflow efficiency and reduce well planning risks.
By choosing training course, the participants will be able to utilize all forms of data that can support petrophysical and geological analysis of historical and recent wells to produce robust facies schemes and rock types that a reservoir engineer can use for history matching. Understanding the importance of fractures and being able to determine if they are good or bad, important or less important, and conclude the best applicable scenario to avoid or develop a fracture play. Participants will be able, despite their different working sectors, to deal with: different sedimentary models, variable type of rocks, different tools needed to acquire the most accurate data, analyse multiple types of logs to determine facies and fractures, evaluate the best workflow to derive rock types.
This PetroKnowledge training course will highlight:
- Understanding the fundamental reservoir characteristics of different geological plays, from fluvial, deltaic, deep marine, carbonate to basement
- Facies analysis from core and utilizing all the petrophysical parameters derived from core to build robust rock types
- Understanding upscaling from thin section, core, borehole images into the geological model through to simulation
- Understanding log measurements from historical wells to the latest technology and how to incorporate this data into the reservoir model
- Understand the limitations of data sets along with measurement requirements for effective reservoir development
- Looking at the necessary parameters to build reservoir models, understanding geological analogues whilst honoring the petrophysical data
- Learn to identify fractures from multiple data sets, and how to integrate their petrophysical parameters into the reservoir