Transmission Design Based on Sonic Drilling Parameter

Article Preview

Abstract:

In order to overcome the shortcomings of the traditional drilling rig drilling parameters cable transmission technology for high cost and high fault, a drill pipe, which functions as the transmission medium is proposed, the sound waves as carrier of drilling parameter transmission method. The intelligent drill pipe based on the acoustic transmission technology has the advantages of reasonable design, low cost, convenient installation, which can effectively overcome the shortcomings of the past similar products using electromagnetic wave pulse low rate of signal transmission, the transmission distance near, cope with the wired data transmission mode of the high cost and high failure rate, meet the needs of the large-scale development of petroleum mining industry, series standardization, specialization and high grade direction, in order to provide technical support for marine resources detection.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

328-333

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] DOUGLAS S. Drum heller, Extensional stress waves in one dimensional elastic waveguides, J ACOUST SOC AM. 1992, 92(6) 3389-3402.

Google Scholar

[2] Huang NE, Shen Z, Long SR, etal. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis, Proceedings of the Royal Society of London A . (1998).

Google Scholar

[3] Huang NE, Shen Z, Long SR. A new view of nonlinear water waves: the Hilbert spectrum. Annual Review of Fluid Mechanics . (1999).

DOI: 10.1146/annurev.fluid.31.1.417

Google Scholar

[4] Rilling G, Flandrin P. On the influence of sampling on the Empirical Mode Decomposition. 2006. IEEE Interna-tional Conference on Acoustics. Speech and Signal Process-ing. ICASSP 2006. (2006).

DOI: 10.1109/icassp.2006.1660686

Google Scholar

[5] L. Li,H. Ji. Signal feature extraction based on an improved EMD method. Measurement. (2009).

Google Scholar

[6] L. Qian,G. Xu,W. Tian,J. Wang. A novel hybrid EMD-based drift denoising method for a dynamically tuned gyroscope(DTG). Measurement . (2009).

DOI: 10.1016/j.measurement.2009.01.017

Google Scholar

[7] G. Rilling, P. Flandrin, One or two frequencies? the empirical mode decomposition answer. IEEE Transactions on Signal Processing. (2007).

DOI: 10.1109/tsp.2007.906771

Google Scholar

[8] Y. Qin, S. Qin, Y. Mao, Research on iterated Hilbert transform and its application in mechanical fault diagnosis. Journal of Mechanical Systems. (2008).

DOI: 10.1016/j.ymssp.2008.01.014

Google Scholar