Abstract
Detailed geological models can now be developed by interpreting different data in a consistent and integrated manner with the advances in computer technology and stochastic methods. Reservoir simulation is important for reducing uncertainties in geological models by history matching with dynamic data. Streamline-based simulation has advantages over conventional finite-difference models in computation speed, accuracy, and visualization. Faster computation is attributed to less frequent solutions of the pressure equation, one-dimensional solutions along streamlines replacing three-dimensional flow calculations, and operator splitting. Streamline-based simulation is particularly suited to repeated history matching for multiple equi-probable geological models. Applications are demonstrated with model development for upscaling, tracer flow simulation, automatic history matching, and dual-porosity modeling.
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