Yahya, N. and Nyuk, C.M. and Ismail, A.F. and Hussain, N. and Rostami, A. and Ismail, A. and Ganeson, M. and Ali, A.M. (2020) Inversion algorithm of fiber bragg grating for nanofluid flooding monitoring. Sensors (Switzerland), 20 (4). ISSN 14248220
Full text not available from this repository.Abstract
In the current study, we developed an adaptive algorithm that can predict oil mobilization in a porous medium on the basis of optical data. Associated mechanisms based on tuning the electromagnetic response of magnetic and dielectric nanoparticles are also discussed. This technique is a promising method in rational magnetophoresis toward fluid mobility via fiber Bragg grating (FBG). The obtained wavelength shift due to Fe3O4 injection was 75 higher than that of dielectric materials. This use of FBG magneto-optic sensors could be a remarkable breakthrough for fluid-flow tracking in oil reservoirs. Our computational algorithm, based on piecewise linear polynomials, was evaluated with an analytical technique for homogeneous cases and achieved 99.45 accuracy. Theoretical values obtained via coupled-mode theory agreed with our FBG experiment data of at a level of 95.23 accuracy. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Item Type: | Article |
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Additional Information: | cited By 3 |
Uncontrolled Keywords: | Adaptive algorithms; Computation theory; Dielectric materials; Flow of fluids; Iron oxides; Magnetic nanoparticles; Magnetite; Nanofluidics; Nanotechnology; Petroleum reservoir engineering; Petroleum reservoirs; Piecewise linear techniques; Porous materials, Associated mechanism; Computational algorithm; Coupled mode theory; Dielectric nanoparticles; Electromagnetic response; Inversion algorithm; Magnetooptic sensors; Piecewise linear polynomials, Fiber Bragg gratings |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 10 Nov 2023 03:28 |
Last Modified: | 10 Nov 2023 03:28 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/13477 |