Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2023. №3
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DOI: https://doi.org/10.30898/1684-1719.2023.3.9

 

The Regression Model

of the Ultrasonic Signal Attenuation in a Well

 

O.V. Stukach 1,2, I.A. Ershov 2, S.V. Bykov 2, I.V. Trubin 2

 

1 National Research University Higher School of Economics

101000, Russia, Moscow, Pokrovsky Bulvar, 11

2 Novosibirsk State Technical University

630073, Russia, Novosibirsk, Prospekt K. Marksa, 20

 

The paper was received February 13, 2023.

 

Abstract. The problem of telemetry information transmitting requires a comprehensive study of new communication channels and finding transparency windows for wave propagation in the operating frequency band. Electromagnetic communication channels are energy inefficient and have a low data transfer rate. Cable communication channels have high maintenance costs, and telemetry transmission is impossible at large depths. This paper provides a brief overview of the methods of telemetry information transmitting. The outcomes of the design of a receiving and transmitting ultrasonic device for telemetric information transmitting are presented. The receiver and transmitter are based on the piezo-emitter ZP-25. The frequency of the transmitted signal is 40 kHz. An experimental installation simulating a part of a producing well was used to study the acoustic signal propagation. As a result, a linear regression model of acoustic signal attenuation in the well was received. A comparison is made with the theoretical model of acoustic signal propagation. The discrepancy between the obtained and theoretical model is found. It is shown that linear regression is consistent with experimental results, it is a good simulation model for the signal transmission process, and nonlinear effects in the frequency band under consideration are insignificant. Also, the experimental model has much less attenuation compared to the theoretical one.

Key words: measurement while drilling, downhole telemetry, ultrasonic channel, attenuation modeling.

Financing: The study was carried out with the financial support of the Russian Scientific Foundation in the framework of scientific project №22-29-00024.

Corresponding author: Ershov Ivan Anatolyevich, ershov@corp.nstu.ru

References

1. Mirmanov A.B., Stukach O.V. The System Problems in the Microwave Measurement-While-Drilling Telemetry for Controlled Drilling and Modeling in Matlab Simulink. 2014 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS). https://doi.org/10.1109/MEACS.2014.6986885

2. Jibo L., Weining N., Sanguo L. Development of the Downhole Data Memory Releasing Device. 3rd International Conference on Mechatronics, Robotics and Automation. 2015. https://doi.org/10.2991/icmra-15.2015.106

3. Shaydurov G.Y., Potylitsyn V.S., Stukach O.V., Maikov O.A., Romanov V.V. Automation of oil and gas exploration by active seismic electric method. IOP Conference Series: Materials Science and Engineering. 2019. V.537. https://doi.org/10.1088/1757-899X/537/5/052012

4. Stukach O.V., Mirmanov A.B., Goponenko A.S. Microwave equipment for MWD front-end radiolink in the Borehole pipes. 12th International Conference on Actual Problems of Electronic Instrument Engineering (APEIE). 2014. P.427-430. https://doi.org/10.1109/APEIE.2014.7040933

5. Yang L., Yuntao S. A High-Speed Data Transmission Design Using Single-Core Cable. Third International Conference on Intelligent Networks and Intelligent Systems. 2010. P.513-516. https://doi.org/10.1109/ICINIS.2010.124

6. Liu K., Li X., Wang T., Zhang Y., Li L. New Electromagnetic Transmitter for EM-MWD System Based on Embedded RTOS: uc-OS III. IEEE 4th International Conference on Signal and Image Processing (ICSIP). 2019. P.299-303. https://doi.org/10.1109/SIPROCESS.2019.8868881

7. Wei Z., Yibing S., Yanjun L. Design of acoustic wireless remote transmission system for logging-while-drilling data. IEEE 11th International Conference on Electronic Measurement & Instruments. 2013. P.53-57. https://doi.org/10.1109/ICEMI.2013.6743037

8. Han W.K., Kumar L.S., Guan Y.L., Sun S. Design of coded digital telemetry system for acoustic downhole channel with drilling noise. 9th International Conference on Information, Communications & Signal Processing. 2013. P.1-5. https://doi.org/10.1109/ICICS.2013.6782969

9. Tennent R.W., Fitzgerald W.J. Passband complex fractionally-spaced equalization of MSK signals over the mud pulse telemetry channel. First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications. 1997. P.5-8. https://doi.org/10.1109/SPAWC.1997.630045

10. Berro M.J., Reich M. Signal Transmission in Boreholes and its Processing in MATLAB. The 17th annual conference of the International Association for Mathematical Geosciences, IAMG. 2015.

11. Hutin R., Tennent R.W., Kashikar S.V. New Mud Pulse Telemetry Techniques for Deepwater Applications and Improved Real-Time Data Capabilities. SPE/IADC Drilling Conference. 2001. https://doi.org/10.2118/67762-MS

12. Su Y., Sheng L., Li L., Bian H., Shi R., Zhuang X., Chin W. Strategies in High-Data-Rate MWD Mud Pulse Telemetry. J. Sustainable Energy Eng. 2014. V.2. №3. https://doi.org/10.7569/JSEE.2014.629515

13. Zhang Y., Xiong K., Di X., Du G., Qiu Z. RaptorQ code based adaptive real-time transmission scheme for M/LWD system. 5th IET International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN 2013). 2013. P.141-144. https://doi.org/10.1049/cp.2013.2395

14. Cheng S., Hu Y. A novel signal processing algorithm for measurement while drilling (MWD) system. 40th Chinese Control Conference (CCC). 2021. P.3105-3109. https://doi.org/10.23919/CCC52363.2021.9550142

15. Soldatov A.I., Chiglintseva Yu.V. Theoretical and experimental investigation of acoustic tract of borehole depth gauge. Izvestiya Tomskogo politekhnicheskogo universiteta [Bulletin of the Tomsk Polytechnic University]. 2009. V.315. №4. P.85-89. (In Russian)

16. Soldatov A.I. Ul'trazvukovaya apparatura s volnovodnym akusticheskim traktom [Ultrasonic equipment with waveguide acoustic path]. PhD thesis. National Research Tomsk Polytechnic University. 2011. 291 p. https://earchive.tpu.ru/handle/11683/6658 (In Russian)

For citation:

Stukach O.V., Ershov I.A., Bykov S.V., Trubin I.V. The regression model of the ultrasonic signal attenuation in a well. Zhurnal radioelektroniki [Journal of Radio Electronics] [online]. 2023. №3. https://doi.org/10.30898/1684-1719.2023.3.9 (In Russian)