Capillary Pressure and Saturation Height Model Concepts For Reservoir Petrophysics
Capillary pressure and Saturation height Model Concepts for Reservoir Petrophsyics course is a VILT (virtually instructor led training) delivered in real time. The course will be taught in 4 hour sessions over a 3 day period and is delivered using the WebEx platform”
This course enables participants to understand the fundamental concepts of capillary pressure from lab to saturation height model analysis. A pracitcal approach is used to discuss lab measurement options, standard corrections, determining fluid contacts and the free water level. Participants, complete a capillary pressure analysis and saturation height model based on petrophsyical rock types. The final results are integrated with flow and storage characteristics. The concept workshops are completed using Excel, so the process is transparent to the users.
- The concept of capillary pressure
- Introduction to pore throat concepts
- Excel workshop 1 (Pore Throat Size and Data Summary)
- Sandstone case study
- Overview of lab methods (Focus on mercury injection capillary pressure)
- Excel workshop 2 (Semi-Log, Intrusion Plots and Data Quality Checks)
Conversion from Lab to Height Above Free Water
- Excel Workshop 3 (Convert Lab to Height)
- Define Facies and Petrophysical Rock Types
- Carbonate Case Study
- Excel Workshop 4 (Petrophysical Rock Types Pc Groups and Curve Fitting)
The concepts of Saturation Height Models
- Excel Workshop 5 (SHM-Manually and SHM-Automated)
- Case Study
- Introduction to Pc and SHM Options in TechLog
- Course Wrap Up
Brief overview of capillary theory, lab techniques, converting data from lab values to reservoir capillary pressure and height above free water and saturation height model concepts based on petrophysical rock types.
Any subsurface professional that is using capillary pressure data in PETREL or TechLog.
Participants need a basic knowledge of petroleum geology, log based water saturation techniques and a basic understanding reservoir characterization data requirements.