Surface noise cancellation for acoustic downhole communication systems

Abdallah K. Farraj, Eman M. Hammad, Scott L. Miller, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This article investigates the usefulness of using two sensors and a blind-separation algorithm in reducing the effect of surface noise in downhole communication systems. The acoustic channel provides a challenging environment for the acoustic waves that propagate from the downhole to the surface of an oil or gas well. As a result, acoustic waves experience a noticeable attenuation before reaching the surface of the well. Consequently, surface noise, which is generated by the surface tools, dominates the performance of acoustic downhole communication systems that have the receiver unit close to the well surface. The application of a two-receiver noise cancellation algorithm is investigated. The article also describes a testbed that was designed to study the effectiveness of the proposed algorithm in reducing the impact of the surface noise. The communication system was built using two speakers, five connected segments of 7 inch production pipes, and two microphones. One of the speakers was used to transmit a noise-like signal in order to simulate the surface noise. The noise cancellation algorithm was applied to the outputs of the two microphones, and the quality of the acoustic signals is investigated after applying the noise cancellation solution. Results of this work emphasize the usefulness of the proposed solution in enhancing the performance of the acoustic downhole communication systems.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages4718-4722
Number of pages5
DOIs
Publication statusPublished - 18 Oct 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period26/5/1331/5/13

Fingerprint

Acoustic noise
Communication systems
Acoustics
Microphones
Acoustic waves
Testbeds
Pipe
Sensors
Gases

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Farraj, A. K., Hammad, E. M., Miller, S. L., & Qaraqe, K. (2013). Surface noise cancellation for acoustic downhole communication systems. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 4718-4722). [6638555] https://doi.org/10.1109/ICASSP.2013.6638555

Surface noise cancellation for acoustic downhole communication systems. / Farraj, Abdallah K.; Hammad, Eman M.; Miller, Scott L.; Qaraqe, Khalid.

2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 4718-4722 6638555.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Farraj, AK, Hammad, EM, Miller, SL & Qaraqe, K 2013, Surface noise cancellation for acoustic downhole communication systems. in 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings., 6638555, pp. 4718-4722, 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, 26/5/13. https://doi.org/10.1109/ICASSP.2013.6638555
Farraj AK, Hammad EM, Miller SL, Qaraqe K. Surface noise cancellation for acoustic downhole communication systems. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 4718-4722. 6638555 https://doi.org/10.1109/ICASSP.2013.6638555
Farraj, Abdallah K. ; Hammad, Eman M. ; Miller, Scott L. ; Qaraqe, Khalid. / Surface noise cancellation for acoustic downhole communication systems. 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. pp. 4718-4722
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