scholarly journals Nernst-Planck-based Description of Transport, Coulombic Interactions, and Geochemical Reactions in Porous Media: Modeling Approach and Benchmark Experiments

2018 ◽  
Vol 54 (4) ◽  
pp. 3176-3195 ◽  
Author(s):  
Massimo Rolle ◽  
Riccardo Sprocati ◽  
Matteo Masi ◽  
Biao Jin ◽  
Muhammad Muniruzzaman
Keyword(s):  
Porous Media ◽  
Coulombic Interactions ◽  
Modeling Approach ◽  
Geochemical Reactions

scholarly journals Modeling of coupled flow, transport and biogeochemical reactions during electrokinetic bioremediation: model development and application

2021 ◽  
Author(s):  
Riccardo Sprocati ◽  
Massimo Rolle
Keyword(s):  
Porous Media ◽  
Organic Contaminants ◽  
Reactive Transport ◽  
Model Development ◽  
Test Site ◽  
Chlorinated Ethenes ◽  
Electrokinetic Transport ◽  
Coupled Flow ◽  
Coulombic Interactions ◽  
Geochemical Reactions

<p>Electrokinetic (EK) remediation is one of the few in-situ remediation technologies that can effectively remove contaminants from low-permeability porous media. Process-based modeling, including the complex multiphysics and biogeochemical processes occurring during electrokinetic remediation, is instrumental to describe EK systems and to assist in their design. In this work we use NP-Phreeqc-EK [1], a multidimensional, multiphysics code which couples a flow and transport simulator (COMSOL Multiphysics) with a geochemical code (PhreeqcRM) through a MATLAB LiveLink interface. The model allows the simulation of coupled fluid flow, solute transport, charge interactions and biogeochemical reactions during electrokinetics in saturated porous media. The process-based code is applied for the modeling of electrokinetic delivery of amendments to enhance bioremediation (EK-Bio) of chlorinated compounds at a pilot test site [2]. We simulate both conservative and reactive transport scenarios and we compute and show the Nernst-Planck fluxes and the velocities of the different species (such as lactate, chlorinated ethenes and degrading microorganisms). To compare remediation performances and model outcomes we define different metrics quantifying the spatial distribution of the delivered reactants and the mass of the organic contaminants in the system. The process-based model allowed the simulation of the key processes occurring during EK-Bio, including 1) multidimensional electrokinetic transport such as electromigration of charged species and electroosmosis, 2) Coulombic interactions between ions in solution, 3) kinetics of contaminant biodegradation, 4) dynamics of microbial populations, 5) mass transfer limitations and 6) geochemical reactions.</p><p> </p><p>[1] Sprocati, R., Masi, M., Muniruzzaman, M., & Rolle, M. (2019). Modeling electrokinetic transport and biogeochemical reactions in porous media: A multidimensional Nernst–Planck–Poisson approach with PHREEQC coupling. <em>Advances in Water Resources</em>, <strong>127</strong>, 134-147.</p><p>[2] Sprocati, R., Flyvbjerg, J., Tuxen, N., & Rolle, M. (2020). Process-based modeling of electrokinetic-enhanced bioremediation of chlorinated ethenes. <em>Journal of Hazardous Materials</em>, <strong>397</strong>, 122787.</p>

Near Critical Condensate Fluid Behavior in Porous Media- A Modeling Approach

1989 ◽  
Vol 4 (02) ◽  
pp. 221-227 ◽  
Author(s):  
John K. Williams ◽  
Richard A. Dawe
Keyword(s):  
Porous Media ◽  
Modeling Approach ◽  
Fluid Behavior

Low Adsorbing CO2 Soluble Surfactants for Commercially Viable Implementation of CO2 Foam EOR Technology

2021 ◽  
Author(s):  
Amit Katiyar ◽  
Troy Knight ◽  
Adam Grzesiak ◽  
Pete Rozowski ◽  
Quoc Nguyen
Keyword(s):  
Porous Media ◽  
Gas Phase ◽  
Surfactant Concentration ◽  
Water Soluble ◽  
Phase Partitioning ◽  
Modeling Approach ◽  
Aqueous Foam ◽  
Co2 Foam ◽  
Soluble Surfactants ◽  
Foam Modeling

Abstract Several gas Enhanced Oil Recovery (EOR) pilots enhanced with aqueous-foam based conformance solutions have been implemented in the last 30 years. While these pilots were technically successful, there were economic challenges limiting their commercial viability. Many of these pilots were implemented with water-soluble foaming surfactants that can get adversely affected by near wellbore gas-water gravity segregation and adsorption loss up to 90% of the injected surfactant. Novel, gas-soluble surfactants can be injected with the gas phase where these surfactants are carried with the gas to thief zones faster and deeper with relatively lower adsorption to the rock surface. However, the conventional foam modeling approach relied only on the surfactant concentration in brine to determine foam strength, which adversely predicted the performance of gas soluble surfactants. With proven laboratory evaluations and multiple successful field implementations, the advantages of low adsorbing and gas soluble surfactants cannot be ignored. In this paper, the advantages of surfactant partitioning to the gas phase are confirmed by correcting the conventional foam modeling approach while simulating 1D transport of CO2-foam displacing brine in porous media. An empirical foam model was developed from the lab scale core flooding work of CO2foam transport through porous media using a novel gas-soluble foaming surfactant. While investigating the performance of gas soluble surfactants, global surfactant concentration was used to determine foam strength as the surfactant can transport to the gas-water interface from both the phases. Lab experiments and simulations with an improved foam modeling approach confirmed that a higher gas phase partitioning surfactant generated robust foam and deeper foam propagation while injecting surfactant with CO2in a water saturated core. In addition, comparing three partition coefficient scenarios around 1 on mass basis, the higher gas phase partitioning surfactant showed the larger delay in gas breakthrough. Overall, the simulation results with our better modeling approach do support the advantages of the higher gas phase surfactant partitioning in deeper foam transport and conformance enhancement for the gas-EOR technology.

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