Pelatihan Effective Use of Relative Permerability and SCAL Data (1)

Training Penggunaan Efektif Kerawanan Relatif dan Data SCAL

Pelatihan Effective Use of Relative Permerability and SCAL Data

Training Penggunaan Efektif Kerawanan Relatif dan Data SCAL Effective Use of Relative Permerability and SCAL Data DESKRIPSI The use of analytical methods to predict natural reservoir performances is based on simplifications that enable reservoir engineers to apply simple models to describe complex geological structures. SCAL enables us to allocate chosen relative-permeability and capillary-pressure curves to appropriate blocks in the simulation grid automatically by applying user-defined criteria. The three-dimensional visualization capability provides a quick and effective way of checking the data allocations. Additionally, SCAL has extensive support for end-point scaling. Special core analysis, SCAL, data are among the most critical reservoir input data for reservoir simulation models. SCAL data has a direct impact on the way fluids are allocated and distributed in the reservoir simulation models, which would directly impact reservoirs’ STOIIP estimation and their distribution. Moreover, it directly affects the performance of secondary and EOR flooding processes, and in turn impacts the accuracy of the oil and gas reserve estimates, and the management of these reserves.

ikuti juga :  training performance management performance apraisal planning

MATERI

1. The Concept of Relative Permeability
2. Numerical Simulation : Relative Permeability Curves, Flow Rates, Heat Losses.
3. Analysis & Interpretation of Results
4. The pore-space
5. Viscosity of the fluids 
6. Wettability of the mineral surface
7. The concepts of the different elements of SCAL data, including reservoir wettability capillary pressure, two and three phase relative permeability and reservoir electrical properties
8. The way these data would possibly change as a function of the reservoir heterogeneity and wettability 
9. Effect of reservoir saturation history and associated hysteresis of SCAL data
10. llaboratory measurements of SCAL data as well as the interpretation of the experimental data considering the associated uncertainties
11. Proper preparation and utilisation of SCAL data for reservoir characterisation and modelling, considering reservoir rock typing scheme and its wettability profile if any
12. Possible integration of SCAL data with log and well testing data
13. Case Study

PESERTA

This course is designed for technical managers and team leaders, reservoir engineers, reservoir geologists, petrophysicists and geophysicists. This course is also designed for university and operating companies’ research and development staff.