Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29560
Title: Real-time fluid flow movement identification in porous media for reservoir monitoring application using polycarbonate optical fibre Bragg grating sensor
Authors: Moslan, Mohd Shahrizan 
Othman, Mohd Hafiz Dzarfan 
Samavati, Alireza 
Theodosiou, Antreas 
Kalli, Kyriacos 
Ismail, Ahmad Fauzi 
Rahman, Mukhlis A. 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Enhanced oil recovery;Fibre optic sensor;Oil movement detection;Reservoir monitoring
Issue Date: 1-May-2023
Source: Sensors and Actuators A: Physical, 2023, vol. 354
Volume: 354
Abstract: Fibre optic sensing technology has recently been hailed as a viable alternative for a real-time reservoir monitoring method. The aim of this study is to develop a robust and high-sensitivity polycarbonate optical fibre (PCPOF) sensor that can detect oil movement in porous media. To enhance the sensing capability of the Bragg sensor, partial removal of the cladding and deposition of APTES treated TiO2 on the sensing region was conducted. The cladding layer was removed using the chemical etching and the etching time was varied from 5 to 11 min. The best etching time was 9 min with a cladding thickness of ∼1.47 µm and increasing the etching time may result in damage to the fibre core. The nanoparticles were coated evenly to the sensing areas through a double dip-coating technique to ensure uniform distribution of TiO2. Sensor sensitivity was tested at 60 °C, 90 °C, and 120 °C. The sensitivity of the sensor was found to be more than 100 nm/RIU on average in different temperatures and the sensor was also capable to work at a temperature of 120 °C. Thus, the fabricated fibre optic sensor offers huge potential for real-time monitoring of reservoirs in oil and gas fields, which should be a very useful tool for engineers.
URI: https://hdl.handle.net/20.500.14279/29560
ISSN: 09244247
DOI: 10.1016/j.sna.2023.114246
Rights: © Elsevier B.V
Type: Article
Affiliation : Universiti Teknologi Malaysia 
Universiti Teknologi MARA 40450 Shah Alam 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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