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- Title
Inversion Algorithm of Fiber Bragg Grating for Nanofluid Flooding Monitoring.
- Authors
Yahya, Noorhana; Mui Nyuk, Chai; Ismail, Ahmad Fauzi; Hussain, Nazabat; Rostami, Amir; Ismail, Atef; Ganeson, Menaka; Ali, Abdullah Musa
- 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.
- Subjects
FIBER Bragg gratings; DIELECTRIC materials; POROUS materials; PETROLEUM reservoirs; MAGNETIC nanoparticles; HOLLOW fibers; NANOFLUIDS
- Publication
Sensors (14248220), 2020, Vol 20, Issue 4, p1014
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s20041014