The conceptual model and reservoir simulation have been improved, allowing for better placement of new production and injection wells that has greatly reduced the interference between the production wells for the binary plant and the double-flash plant.
Well test analysis is commonly used to identify and quantify near-wellbore effects, reservoir model and reservoir boundaries.
Future considerations of core-scale models and reservoir-scale production strategies are also discussed in detail.
The geostatistical tool of co-simulation is a reliable and efficient tool for modeling and distributing reservoir petrophysical properties in a model.
Along with, sampling performance as well as uncertainty quantification of these methods are compared in terms of their ability to accurately and consistently evaluate unknown reservoir model parameters and reservoir future performance.
We then fitted three further spatial models that included demographic covariates (Model 3), demographic and reservoir host covariates (Model 4) and demographic, reservoir host and environmental covariates (Model 5).
This carbonate reservoir represents a complex character which strongly affects reservoir modeling and prediction of its reservoir performance.
Reservoir characterization, building the reservoir model and tuning the reservoir model (history-matching) are the most important parts of reservoir modeling.
