Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-13T09:21:07.513Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Published online by Cambridge University Press:  28 September 2018

Xia Wenhe Open the ORCID record for Xia Wenhe [Opens in a new window] ,
Guan Wenting ,
Jiang Zujun ,
Meng Yingfeng  and
Tang Bo
Xia Wenhe*
Affiliation:
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, China School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China
Guan Wenting
Affiliation:
Engineering Technology Research Institute, Petrochina Southwest Oil & Gasfield Company, Chengdu, China
Jiang Zujun
Affiliation:
Petroleum Engineering Technology Research Institute, Southwest Oil & Gas Branch, Sinopec, China
Meng Yingfeng
Affiliation:
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, China
Tang Bo
Affiliation:
Drilling Technology Research Institute of Shengli Petroleum Engineering Corporation Limited, Sinopec, China
*
Author for correspondence: Wenhe Xia, E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

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.

Keywords

Double cluster multipath channelmicrowave attenuation model in drill pipe boremicrowave measurement while drillingultra long irregular lossy cylindrical waveguide
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 3 , April 2019 , pp. 220 - 226
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

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. 11–14. Doi: 10.1109/ICWAPR.2010. 5576341.Google Scholar
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, 4855–4866.Google Scholar
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, 3569–3578.Google Scholar
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.Google Scholar
5.Gao, L and Gardner, WR (2005) Limits on data communication along the drill string using acoustic waves. SPE Reservoir Evaluation & Engineering 11, 141–146.Google Scholar
6.Mayor, DI and Dragor, T (2013) An overview of technical challenges and advances of inductive wireless power transmission. Proceedings of the IEEE 6, 1302–1311.Google Scholar
7.Kolaric, G and Lee, J (2011) EM MWD Technology Enhances Underbalanced Drilling Efficiency in Mexico. Offshore Mediterranean Conference and Exhibition, pp. 1–14 (OMC-2011-039).Google Scholar
8.Hao, J, Wang, HX and Lan, WJ (2013) Design of a total monitoring system for air drilling process. Advanced Materials Research 7, 400–404.Google Scholar
9.Meng, XF, Chen, YJ and Zhou, J (2010) Microwave propagation in air drilling. Petroleum Science 7, 390.Google Scholar
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, 129–137.Google Scholar
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. 289–291.Google Scholar
12.Mahmoud, SF and Wait, JR (1974) Geometrical optical approach for electromagnetic wave propagation in rectangular mine tunnels. Radio Science 12, 1147–1158.Google Scholar
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. 1016–1019. Doi: 10.1109/TENCON.2002.1180294.Google Scholar
14.Ndoh, M and Delisle, GY (2001) Propagation of millimetric waves in rough sidewalls mining environment. Vehicular Technology Conference Papers, pp. 439–443. Doi: 10.1109/VETECS.2001.944881.Google Scholar
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, 240–246.Google Scholar
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, 2393–2405.Google Scholar
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, 141–144.Google Scholar
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. 413–416.Google Scholar
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. 2150–2153. Doi: 10.1109/ICEICE.2011.5778233.Google Scholar
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, 540–549.Google Scholar
21.Chehri, A and Fortier, P (2006) Measurements and modeling of line-of-sight UWB channel in underground mines. IEEE GLOBECOM'06. Papers, pp. 1–5.Google Scholar