Study on Mechanical Automation with a New Method for Defining the Calculation Window of Shear Wave Splitting

Article Preview

Abstract:

Shear wave splitting technology plays important role in detecting fractures. Picking up the calculation window is necessary in the shear wave splitting technology and plays a decisive role in the accuracy and precision detecting the orientation of fractures and fracture intensity. Conventionally, the calculation window for shear wave splitting is manually set, which is both laborious and subjective. Thus providing an mechanical automated method of picking up the calculation window is very meaningful.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

7-12

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Crampin, S. Geological and industrial implications of extensive dilatancy anisotropy. Nature, 328 (1987), 491-496.

DOI: 10.1038/328491a0

Google Scholar

[2] Crampin, S. A review of the effects of crack geometry on wave propagation through aligned cracks. Can. J. Expl. Geophys., 29 (1993), 3-17.

Google Scholar

[3] Lou, M. and Rial, J.A. Characterization of geothermal reservoir crack patterns using shear-wave splitting. Geophysics, 62 (1997), 487-495.

DOI: 10.1190/1.1444159

Google Scholar

[4] Elkibbi, M. and Rial, J.A. Shear-wave splitting: an efficient tool to detect 3D fracture patterns at The Geysers, California. Proc. Geothermal Reservoir Engineering, Stanford, 28 (2003), 143-149.

DOI: 10.2172/758724

Google Scholar

[5] Silver, P.G. and Chan, W.W. Shear-wave splitting and subcontinental mantle deformation. J. Geophys. Res., 96, 16429-16454. (1991).

DOI: 10.1029/91jb00899

Google Scholar

[6] Savage, M., Shih, X., Meyer, R., and Aster, R. Shear-wave anisotropy of active tectonic regions via automated S-wave polarization analysis. Tectonophysics, 165 (1989), 279-292.

DOI: 10.1016/0040-1951(89)90053-x

Google Scholar

[7] Teanby, N.A., Kendall, J. -M., and van der Baan, M. Automation of Shear-Wave Splitting Measurements using Cluster Analysis, Bull. Seis. Soc. Am., 94 (2004), 453-463.

DOI: 10.1785/0120030123

Google Scholar

[8] Sheriff, R.E. Encyclopedic dictionary of exploration geophysics, third ed.: SEG (1999), 52-53.

Google Scholar

[9] YushouPeng. Wide-band Ricker wavelet, Oil Geophysical Prospecting, 31, no. 5, 1996, 605-615.

Google Scholar

[10] Nicolas Martin, Armenio Azavache, Maria Donati, P-wave attenuation helps identify lithology and pore-fluid type – Statistical Data Included, World Oil, 11. (1999).

Google Scholar

[11] Yin ZhongKe, Shao Zhun, Wang JianYin. Signal Sparse Decomposition based on GA and Atom Property: Journal of the China railway Society, 27, no. 3, (2005), 58-61.

Google Scholar

[12] Hua ZeXi, Yin ZhongKe, Fast Wavelet Construction Algorithm in Signal Decomposition in Over-complete Dictionary, Transaction of Southwest Jiaotong University, 6 (2005).

Google Scholar

[13] ShaoJun, Yin ZhongKe, Wang JianYing, Modification of MP Signal Sparse Decomposition Algorithm Based on FFT, Transaction of Southwest Jiaotong University . 8, Vol 41(4), ChengDu, (2006), 466-470.

Google Scholar