MICP Modeling


Our work on the modeling of MICP for upscaling has primarily been focused on the following in recent years:

  • calibrating a kinetic reaction model to microbially controlled ureolysis
  • modeling of column and large tank experiments
  • spatially mapping distributions of calcite and chemicals in time during treatment.

Current Year ’15-’16 Focus 

TITLE: Stimulation of Native Bacteria for Bio-cementation at Field-Scale Treatment Depths

RESEARCHER: Deviyani Gurung (dgurung@ucdavis.edu), Mohamed Nassar

ADVISOR(S): Prof. Tim Ginn (ginntr@gmail.com), Prof. Jason DeJong

COLLABORATOR(S): Michael Gomez, Charles Graddy, Prof. Doug Nelson

THRUST: Hazard Mitigation, Cross-cutting Couple Process Simulator

USE-CASE: Design of field scale MICP treatment for liquefaction mitigation in loose sands

TRANSFORMATIVE CONTRIBUTION: The capability for coupled flow and reactive transport simulations of MICP treatment using PHT3D and COMSOL/iCP platforms in order to extend scaled tests towards field trials.


  • Porosity and permeability reduction for PHT3D results in maintaining time step and simulation period with Matlab external loop
  • Complexity in microbial dynamics and transport
  • Complexity in reaction network leading to variable kinetic rates for both aqueous and mineral constituents


  • Computational limitations when adding the external porosity reduction code for long simulation time.
  • Computational burden and server issues due to the communication between COMSOL-Matlab-iCP.


  • Establish flow and transport properties via tracer modeling for both COMSOL/iCP and PHT3D to reflect the experimental conditions
  • Use column studies to determine kinetics parameters for reaction rates
  • Institute porosity and permeability reduction to PHT3D by means of external MATLAB code.
  • Apply kinetics parameters from column studies into large scale model with established hydraulic properties in both COMSOL/iCP and PHT3D.


  • Practicioners: Provides tool to assist in field scale technology deployment.
  • Academia: Fundamental advances in modeling of microbially induced calcite precipitation process within porous media, particularly with respect to reaction rates at field scale.

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