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Numerical reservoir modeling is a commonly used tool for analyzing the impact of geological features on production.
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The numerical reservoir model of the Ngatamariki geothermal field, New Zealand was used as a case study.
A numerical reservoir model was created to optimize Huff-and-Puff operations in the Bakken Shale.
Here, we evaluate derivative free optimization methods for determination of the optimal production strategy using a numerical reservoir model which was prepared for a comparative study at the SPE Applied Technology Workshop in Brugge, June 2008.
In the second phase of the project, a detailed 3D numerical reservoir model was set up, with the aim of predicting the evolution of the producer and injector temperatures, and the extent of the cooled area around the injector.
Furthermore, if successful, it provides a validated 3D geologic model that can be used as input for a numerical reservoir model.
The investigation is accomplished using a compositional numerical reservoir model, which is characterized with representative properties of Appalachian Basin sandstones and Mid-Continent crude oil composition.
We then performed a full factorial design of experiment with the variables in this list for each model parameter and then build the numerical reservoir model to generate data with those results.
Therefore, we established the injection wellbore constraint equations, which were coupled with the oil/water two-phase numerical reservoir models, and then the seven diagonal form sparse coefficient matrix was solved by block precondition of generalized minimal residual algorithm.
Such an approach will facilitate a reduction in drilling risk, lead to more successful drilling programs, and serve as well-constrained geologic input to improve the accuracy of numerical reservoir models.
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