Numerical Modeling of the Injection of Nanoparticles in Saturated Cementitious Material by Electromigration
Publication: Journal of Engineering Mechanics
Volume 147, Issue 9
Abstract
This paper presents numerical modeling of nanoparticles injected into cementitious material using the electromigration method. In order to remediate leaking wells in storage formations, beneficial nanoparticles can be injected into the cement. This process can not only repair the leakage and cracks, but also remove harmful ions from the cementitious material. A general framework for numerical modeling is developed to describe the proposed nanoparticle injection technology. This is done with a two-step approach: A model for injecting nanoparticles is developed first, in which an externally applied current on the system is characterized, then simultaneous chloride ion removal is used to calibrate the developed model. The ionic concentration problem in this paper is solved using the Nernst-Planck equation coupled with Poisson’s equation. The general framework uses the finite element method. The results are further compared with an experimental study conducted to prove the effectiveness of this model.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request (MATLAB code).
Acknowledgments
Financial support of the DOE (project Nanoparticle Injection Technology for Remediating Leaks of Storage Formation, DE-FE0026514) is gratefully acknowledged.
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Published In
Journal of Engineering Mechanics
Volume 147 • Issue 9 • September 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Aug 15, 2020
Accepted: Mar 9, 2021
Published online: Jul 1, 2021
Published in print: Sep 1, 2021
Discussion open until: Dec 1, 2021
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Cited by
- Osamah H.A. Dehwah, Linfei Li, Mohamed Abdelrahman, Yunping Xi, Numerical Modeling of Nanoparticle Injection and Ionic Removal for Cementitious Materials, Journal of Engineering Mechanics, 10.1061/JENMDT.EMENG-7030, 149, 12, (2023).