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Efficient Compositional Simulation of Reactive Transport in CO2 Storage

   Center for Energy Resources Engineering

  ,  Tuesday, November 29, 2022  Awaiting Funding Decision/Possible External Funding

About the Project

CO2 injection into geological formations triggers complex physical and chemical interactions at different time and length scales, which are critical to the evaluation of subsurface capacities, operational risks, and storage safety. To reduce the risks during injection and ensure long-term safety, it is indispensable to carry out dynamic simulations that can describe this multiscale process with multiple physics. Although several simulators are available for simulating underground CO2 storage, there is a need to improve the robustness and efficiency of CO2 storage simulation when a compositional description is used.

In this project, we intend to take advantage of the recent development in simultaneous chemical and phase equilibrium calculation to improve the speed and reliability of CO2 storage simulation significantly. The candidate will work on integrating the novel chemical and phase equilibrium calculation algorithm into an in-house compositional simulator for the simulation of CO2 storage in both saline aquifers and depleted petroleum reservoirs. This requires a robust and efficient calculation of multiphase equilibrium in dynamic simulation. The developed simulator will be applied to analyze both near-wellbore and reservoir-scale problems. We expect that the project will provide a new paradigm on how compositional simulation can be done for various underground CO2 storage processes.

Candidates should have an M.Sc. degree or equivalent in disciplines like chemical engineering, applied chemistry, or petroleum engineering. The candidates should be skilled in programming, and it is an advantage to be familiar with thermodynamics and dynamic simulation.

We expect to start the project earliest in the second half of 2022. Once the funding is secured, a formal advertisement with the application link will be posted on the DTU webpage. At the moment, candidates of interest can contact directly the project supervisor Associate Professor Wei Yan at for further information.

Funding Notes

Funding is expected to be secured in mid-2022.

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