Research
We work in virtually all aspects of reservoir simulation, and our research program is constantly evolving to meet the changing needs of the industry, the wider community, and the interests of students.
AD-GPRS
The Automatic Differentiation General Purpose Research Simulator (AD-GPRS) is a flexible and extensible multiphysics simulation platform.
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Compositional Simulation
Compositional simulations are required for modeling complex processes such as gas injection and thermal recovery.
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Fracture Modeling
The presence of fractures and faults within geological formations can have a major impact on fluid flow and mechanical behavior of the rock. The detailed understanding of such systems is of interest in a variety of engineering fields.
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Geomechanics
The demand for accurate and efficient simulation of geomechanical effects is widely increasing in the reservoir simulation community.
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Multiscale Methods
The mathematical formulation that describes the flow and transport processes in deformable geological formation entails heterogeneous coefficients over a wide range of length scales.
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Optimization
Our aim is to develop efficient software tools for the optimization of oil field development and operations. This includes data assimilation, fast simulation, model updating, and optimal control.
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Parallel Computing
The past few years have witnessed a remarkable advancement in the area of massively parallel HPC architectures, characterized by large heterogeneous clusters composed of low cost computers equipped with massively parallel hardware accelerators.
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Pore-Scale Simulation
With recent advances in imaging techniques, such as X-ray computed microtomography, and high-performance computing (HPC) methods, it is now possible to obtain detailed three-dimensional descriptions of the rock microstructure.
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Reactive Transport
Chemical reactions play an important role in many simulation applications such as geological carbon storage and oil shale production. We develop robust numerical schemes to model a variety of such scenarios.
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Stochastic PDEs
Because geophysical data are inexorably sparse and incomplete, stochastic treatments of simulated responses are crucial to explore possible scenarios and assess risks in subsurface problems.
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