Dr. Peter Kang

CSENG Earth Sciences, Dept of
College of Science & Engineering
Twin Cities
Project Title: 
Flow and Transport in Porous and Fractured Media

These researchers are working on two projects that require the use of MSI resources:

  • Subsurface Characterization: Characterizing hydrogeological properties is essential but hard to achieve. This group has developed a stochastic data assimilation method, called ensemble Kalman filter (EnKF), to estimate the hydrogeological properties by conditioning them on big data. In the previous year, they have investigated the value-of-information of the data according to various hydrodynamic conditions. They are now investigating the value-of-information of the data not only according to hydrodynamic conditions but also geophysical conditions. This line of research will help ensure sustainable water resources and mitigate saline water intrusion in coastal aquifers.
  • Flow and Transport in Fracture Media: Subsurface flow and transport are controlled by the characteristics of fractures, but the detailed mechanism is still unknown. The researchers model the flow in fractured media by a meso-scale computational fluid dynamic method, known as the lattice Boltzmann method (LBM), the transport by random walk methods. In the past year, the researchers have constructed the LBM solver and developed the random walk simulator. They are now applying the model to simulate the flow and transport in a reactive system so that the exact prediction of rock dissolution and precipitation is achieved. This research will help improve the design and risk assessment of nuclear waste disposal and groundwater contamination and remediation.

Project Investigators

Dr. Peter Kang
Seonkyoo Yoon
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