Vahabi, N;
Alabdullah, M;
Selviah, D;
(2019)
Acoustic Sensors to Measure Speed of Oil Flow in Downhole Pipes.
In:
Proceedings of the 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA).
(pp. pp. 2411-2416).
IEEE: Xi'an, China, China.
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Abstract
This study was conducted to estimate the downhole speed of flow in oil wells and determined the flow direction by analyzing acoustic data recorded by fibre optic distributed acoustic sensors. The signals generated from acoustic data are in the time versus distance domain that are then normalized and differentiated with respect to distance. A 2D Fast Fourier Transform is used to convert time to frequency and distance to wave-number for subsequent calculation. A Gamma correction function was employed to enhance an intensity of the signal in the frequency wevenumber domain. Also, decaying function was successfully applied to enhance the signals with a very low frequencies. We developed a novel method called integration along the radius in polar coordinate to measure the speed of sound and calculating the speed of oil flow. We compared the performance of our method with a Radon transform and proved our method outperforms an existing methods in both processing time and accuracy. The data sets used in this study are recorded from real oil and gas pipes which means there is no controlled environment and there are lots of noisy signals as a result of unpredicted events under the sea. The result of this study is applicable in Oil and Gas production energy industry, Hydraulic fracturing and shale gas extraction energy industry, Borehole water supply industry, Gas pipeline transportation energy industry and Carbon Dioxide Sequestration industry.
| Type: | Proceedings paper |
|---|---|
| Title: | Acoustic Sensors to Measure Speed of Oil Flow in Downhole Pipes |
| Event: | 14th IEEE Conference on Industrial Electronics and Applications (ICIEA 2019) |
| Location: | Xian, China |
| Dates: | 19 June 2019 - 21 June 2019 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICIEA.2019.8833893 |
| Publisher version: | https://doi.org/10.1109/ICIEA.2019.8833893 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Transforms, Acoustics, Radon, Oils, Optical sensors, Optical imaging, Temperature sensors, Flow speed measurement, normalization, line detection, radon transform, Fast Fourier Transform |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10082320 |
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Loading...Loading...| 1. |  United States | 16 |
| 2. |  China | 10 |
| 3. |  India | 3 |
| 4. |  Germany | 3 |
| 5. |  United Kingdom | 3 |
| 6. |  Argentina | 1 |
| 7. |  Colombia | 1 |
| 8. |  South Africa | 1 |
| 9. |  Iran, Islamic Republic of | 1 |
| 10. |  France | 1 |
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