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Modeling and measurement of microwave propagation multipath channels in drill pipe bore

  • Wenhe Xia (a1) (a2), Wenting Guan (a3), Zujun Jiang (a4), Yingfeng Meng (a1) and Bo Tang (a5)...

Abstract

In this paper, the characteristics of microwave propagation channels in drill pipe bore are analyzed by regarding the drill pipe as an irregular lossy cylindrical waveguide. An attenuation law is modeled using multipath propagation theory and an experimental statistical method. It is shown from physical measurement results that 5″ and $5^{1/2 \prime \prime} $ drill pipe bores, widely applied in the field of air drilling, can be used as 2.4 GHz band microwave channels with the caveat that the numerous reflective surfaces in the joint section of the drill pipe produce a great deal of reflected waves. Hence, the drill pipe bore has the characteristics of a dual cluster multipath channel, and multipath fading and delay are the primary factors affecting propagation quality. The study's constructed microwave attenuation model, based on multipath channels, can be regarded as the average attenuation of the unit length in the drill pipe bore, and can be used as the basis for simulation and analysis of the longer drill pipe string. In addition, a large delay between the two clusters leads to a significant increase of the root mean square delay spread. Consequently, multipath fading and delay are the main factors affecting the channel transmission rate.

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Corresponding author

Author for correspondence: Wenhe Xia, E-mail: swpuxwh@swpu.edu.cn

References

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1.Chen, WY and Fang, B (2010) MWD drilling mud signal de-noising and signal extraction research based on the pulse-code information. Proceedings of the 2010 International Conference on Wavelet Analysis and Pattern Recognition. Qingdao, pp. 1114. Doi: 10.1109/ICWAPR.2010. 5576341.
2.Li, W and Nie, ZP (2016) Wireless Transmission of MWD and LWD Signal Based on Guidance of Metal Pipes and Relay of Transceivers. IEEE Transactions on Geosciences and Remote Sensing 8, 48554866.
3.Dai, J and Liu, QH (2015) Efficient computation of electromagnetic waves in anisotropic orthogonal-Plano-cylindrically layered media using the improved numerical mode matching (NMM) method. IEEE Transactions on Antennas and Propagation 8, 35693578.
4.Hussain, S, Huelvan, Y and Adams, W (2014) Measurement While Drilling, Logging While Drilling, and Rotary Steerable Systems Performance, Benefits, and Challenges in Managed Pressure Drilling and Underbalanced Drilling. SPE Bergen One Day Seminar, Bergen. https://doi.org/10.2118/169220-MS.
5.Gao, L and Gardner, WR (2005) Limits on data communication along the drill string using acoustic waves. SPE Reservoir Evaluation & Engineering 11, 141146.
6.Mayor, DI and Dragor, T (2013) An overview of technical challenges and advances of inductive wireless power transmission. Proceedings of the IEEE 6, 13021311.
7.Kolaric, G and Lee, J (2011) EM MWD Technology Enhances Underbalanced Drilling Efficiency in Mexico. Offshore Mediterranean Conference and Exhibition, pp. 114 (OMC-2011-039).
8.Hao, J, Wang, HX and Lan, WJ (2013) Design of a total monitoring system for air drilling process. Advanced Materials Research 7, 400404.
9.Meng, XF, Chen, YJ and Zhou, J (2010) Microwave propagation in air drilling. Petroleum Science 7, 390.
10.Xia, WH, Meng, YF and Li, WQ (2018) Study on multipath channels model of microwave propagation in a drill pipe. Journal of Electromagnetic Waves and Applications 32, 129137.
11.Davidson, C and Lindsay, P (1978) Mill Metric Waveguide Systems: Discussion, Series A, Mathematical and Physical Sciences. London: Philosophical Transactions of the Royal Society of London, pp. 289291.
12.Mahmoud, SF and Wait, JR (1974) Geometrical optical approach for electromagnetic wave propagation in rectangular mine tunnels. Radio Science 12, 11471158.
13.Zhang, S (2002) The multipath propagation model of rectangular tunnel channel. TENCON ‘02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering, pp. 10161019. Doi: 10.1109/TENCON.2002.1180294.
14.Ndoh, M and Delisle, GY (2001) Propagation of millimetric waves in rough sidewalls mining environment. Vehicular Technology Conference Papers, pp. 439443. Doi: 10.1109/VETECS.2001.944881.
15.Rissafi, Y and Talbi, L (2012) Experimental characterization of an UWB propagation channel in underground mines. IEEE Journal of Transactions on Antennas and Propagation 1, 240246.
16.Guan, K, Ai, B and Zhong, Z. (2015) Measurements and analysis of Large-scale fading characteristics in curved subway tunnels at 920 MHz, 2400 MHz, and 5705 MHz. IEEE Journal of Transactions on Intelligent Transportation Systems 5, 23932405.
17.Zhou, C and Jacksha, R (2016) Modeling and measurement of radio propagation in tunnel environments. IEEE Journal of Antennas and Wireless Propagation Letters 3, 141144.
18.Wang, Y and Zhang, N (2005) A new semi-deterministic multipath model for UWB indoor LOS environments. 6th IEEE International Conference on 3G & Beyond. Papers, pp. 413416.
19.Yao, SH and Wu, XL (2011) Electromagnetic Waves multipath model based on image approach in tunnels. 2011 International Conference on Electric Information and Control Engineering. Papers, pp. 21502153. Doi: 10.1109/ICEICE.2011.5778233.
20.Boutin, M and Benzakour, A (2008) Radio wave characterization and modeling in underground mine tunnels. IEEE Journal of Transactions on Antennas and Propagation 2, 540549.
21.Chehri, A and Fortier, P (2006) Measurements and modeling of line-of-sight UWB channel in underground mines. IEEE GLOBECOM'06. Papers, pp. 15.

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