Multiphase flow in Hydrophobic Meshes: Comsol model and app

Emilie Coene 09/02/16

multiphse-flow-hydrophobic-mesh-01

Today Emilie Coene, consultant at Amphos 21, writes about the Comsol model and app she has developed  in collaboration with Dr. Orlando Silva, project director at Amphos 21, to simulate the operation of hydrophobic and oleophilic meshes. These meshes are a new and promising technique to remove oil spills from aquatic environments.

 

Background

Accidental oil spills in aquatic environments are a recurring problem in the oil and gas industry and have severe ecological, social and economic consequences.

There are several oil spill clean-up techniques, such as skimming, in-situ burning, biodegradation, hydrophobic meshes, etc. Hydrophobic meshes are generally made of stainless steel and coated with a hydrophobic and oleophilic material. They act as a filter: the oil passes through the mesh, while water is retained outside.

Hydrophobic meshes are still at an early development stage but offer many advantages: they are clean, can be operated continuously, require low energy input, present good recovery capacities and recover pure oil, which allows to recycle the spilled oil. The only disadvantage is the operation depth: when a hydrophobic mesh is submerged below its breakthrough pressure depth, water will intrude and contaminate the recovered oil.

 

Conceptual Model

The model presented here conceptualizes a hydrophobic mesh as a porous medium. The model is based on the black oil model, which is extensively used for oil reservoir simulations, and solves multi-phase flow in porous media. In this case there are two phases: water and oil (air was not included in the model).

Multiphase flow hydrophobic mesh oil-water mixture

Conceptual model of a hydrophobic mesh. At the left boundary there is an oil-water mixture at hydrostatic pressure, and at the right boundary oil at atmospheric pressure.

The governing equations consist on a system of two partial differential equations, one for each phase.

Oil Mass Balance:

iCP formula multiphase flow hydrophobic mesh

Water Mass Balance:

iCP formula multiphase flow hydrophobic mesh

The system of equations is solved for the water pressure, Pw, and the capillary pressure, Pc.  is the porosity of the mesh, So the oil saturation, k the permeability of the mesh and λw and λo refer to water and oil phase mobilities, respectively. The porosity and permeability depend on the dimensions of the mesh, which are the coated wire radius and pore radius. The phase mobilities depend on fluid properties and retention properties of the mesh.

 

Implementation in Comsol

The model was implemented in Comsol Multiphysics using a 1D geometry and the coefficient form PDE interface.

Implementation of the hydrophobic mesh model with the coefficient form PDE interface.

The water and capillary pressures were defined at the boundaries with Dirichlet boundary conditions. The initial condition in the mesh is full oil saturation.

In the Figure below, one can see the typical behavior of a hydrophobic mesh. At low depths there is only oil flowing through the mesh, with higher fluxes at higher depths, until the breakthrough pressure is reached at a depth of 0.7 m. Then the water flux increases, contaminating the recovered oil.

Oil and water fluxes within a hydrophobic mesh as a function of mesh depth.

 

App development with Comsol Application Builder

Once the Comsol model was developed, the Comsol Application Builder feature was applied to create a practical and user-friendly tool tailored for mesh designers and/or operators.

The App allows the user to set the main parameters that define the system, such as mesh, oil and water properties, and retention function parameters.

“Set Parameters” window of the Hydrophobic Mesh App.

Once the parameters are introduced, analysis of the mesh can be facilitated through different studies e.g. breakthrough and pore analysis.

The “Breakthrough Analysis” window allows to determine the depth at which water breakthrough occurs. Oil and water fluxes, oil saturation and water fractional flow can be obtained following the definition of pore radius of the mesh and operational depth interval.

“Breakthrough Analysis” window of the Hydrophobic Mesh App.

The “Pore Analysis” window, on the other hand, can be used to determine an optimum mesh pore radius. Wider mesh pores enhance both water content and oil fluxes. Hence, the optimum mesh size must be chosen in such a way to maximize oil flux while maintaining a low water content. In this window one can compare both variables for a set of depths and pore radiuses.

“Pore Analysis” window of the Hydrophobic Mesh App.

 

Summary and Conclusions

Hydrophobic meshes offer many advantages when it comes to oil spill clean-ups. This project shows that these meshes can be modelled as porous media with multiphase flow.

The model offers a good understanding of how these meshes work, and can be a useful tool for researchers, designers and users.

 

About the Guest Author

Emilie Coene

Emilie Coene is a consultant at Amphos 21 with a Chemical Engineering degree and a Master in Modelling for Science and Engineering. She did her Master Thesis on the topic of Hydrophobic Mesh Models.

 

References

[1]     COMSOL Multiphysics. COMSOL Multiphysics® Reference Guide Version 5.1; COMSOL AB: 2015.

[2]     COMSOL Multiphysics. Introduction to Application Builder Version 5.0; COMSOL AB: 2014.

[3]     Deng, D., Prendergast, D.P., MacFarlane, J., Bagatin, R., Stellacci, F., Gschwend, P.M. (2013). Hydrophobic Meshes for Oil Spill Recovery Devices. Applied Materials and Interfaces 5 pp. 774-781.

[4]     Diaz-Viera, M.A., Lopez-Falcon, D.A., Moctezuma-Berthier, A., Ortiz-Tapia, A. (2008). COMSOL implementation of a multiphase fluid flow model in porous media. Proceedings of the COMSOL conference 2008 Boston.

[5]     Song, J., Huang, S., Lu, Y., Bu, X., Mates, J. E., Ghosh, A., ..., Megaridis, C. M. (2014). Self-Driven One-Step Oil Removal from Oil Spill on Water via Selective-Wettability Steel Mesh. Applied Materials and Interfaces 6 pp. 19858-19865.

 

Acknowledgements

This project has been made possible thanks to the CRUE-CEPYME scholarship of Banco Santander. I would like to express my gratitude to Orlando Silva and Jorge Molinero for the help received during this project.

 

 


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