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Study Glial Cell Heterogeneity Influence on Axon Growth Using a New Coculture Method
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Pressure-driven growth in strongly heterogeneous systems.

P Grassia1

  • 1Department of Chemical & Process Engineering, University of Strathclyde, James Weir Building, 75 Montrose St, G1 1XJ, Glasgow, UK. paul.grassia@strath.ac.uk.

The European Physical Journal. E, Soft Matter
|January 26, 2018
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In highly heterogeneous oil reservoirs, foam fronts in improved oil recovery advance unpredictably. Numerical models reveal complex front shapes and oblique boundary interactions, deviating from standard assumptions.

Keywords:
Flowing Matter: Liquids and Complex Fluids

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Area of Science:

  • Petroleum Engineering
  • Fluid Dynamics
  • Reservoir Simulation

Background:

  • Foam improved oil recovery (IOR) is a key technique for enhancing oil extraction.
  • Reservoir heterogeneity, particularly permeability variation with depth, significantly impacts fluid flow dynamics.
  • Understanding foam front propagation is crucial for optimizing IOR strategies.

Purpose of the Study:

  • To analyze the pressure-driven growth model of foam front advance in strongly heterogeneous oil reservoirs.
  • To investigate the behavior of foam fronts where permeability variations dominate pressure decay.
  • To compare numerical solutions with approximate analytic solutions under these complex conditions.

Main Methods:

  • Utilized a pressure-driven growth model to simulate foam front advance.
  • Employed numerical solutions to solve the model under conditions of strong reservoir heterogeneity.
  • Compared numerical results with approximate analytic solutions, including early-time and quasi-static approximations.

Main Results:

  • Early-time approximate solutions showed rapid breakdown in heterogeneous systems.
  • Numerical solutions closely matched local quasi-static solutions at permeability maxima.
  • The foam front was observed to meet the top boundary obliquely, and discontinuous jumps in path length were predicted at concave corners.

Conclusions:

  • Strong reservoir heterogeneity leads to complex foam front shapes and behaviors not predicted by simpler models.
  • The system evolves towards a long-time global quasi-static solution driven by the fastest-moving front sections.
  • The findings challenge conventional assumptions about foam front behavior and boundary interactions in IOR.