Three-Dimensional Seismic Ahead-Prospecting Method and Application in TBM Tunneling
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 143, Issue 12
Abstract
The tunnel seismic ahead-prospecting method is used to estimate adverse geology ahead of the tunnel face. Accurately realizing this geology helps to guarantee safety during construction using a tunnel boring machine (TBM). The paper proposes a three-dimensional (3D) seismic ahead-prospecting method by optimizing a filtering method and an imaging algorithm. In this paper, a united filtering method based on and filtering is introduced. First, the waves from the interfaces behind the tunnel face are removed and P- and S-waves are separated. Then the interference waves are further eliminated by filtering. Mirrored artifacts resulting from the equitravel time plane algorithm are suppressed by the directional weighting integrated into the algorithm. Imaging results indicate that the new method suppresses mirrored artifacts better and produces accurate results. Moreover, the improved algorithm produces reflections that are more consistent with the interfaces than those produced by the original algorithm without directional weighting. Field studies using the 3D seismic ahead-prospecting method have accurately identified and located the main fractured zones, proving the reliability and superiority of the method.
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Acknowledgments
This work was supported by the National Program on Key Basic Research Project of China (973 Program) (Grant Nos. 2013CB036002, 2014CB046901, and 2015CB058101); National Key Scientific Instrument and Equipment Development Project (Grant No. 51327802); National Natural Science Foundation of China (Grant Nos. 51479104, 41502279); and The National Key Research and Development Plan (Grant No. 2016YFC0401805).
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Published In
Journal of Geotechnical and Geoenvironmental Engineering
Volume 143 • Issue 12 • December 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Nov 28, 2016
Accepted: May 18, 2017
Published online: Oct 4, 2017
Published in print: Dec 1, 2017
Discussion open until: Mar 4, 2018
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