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Channel Wave Tomography for Detecting Inhomogeneties in Coal Seam - A Real Dataset Example
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, Jun 2013, cp-348-00045
- ISBN: 978-90-73834-48-4
Abstract
Mechanized coal winning systems require thorough knowledge of seam structure, which can be obtained by in-seam seismic method. In this paper, we show an application of channel wave tomography method on a real dataset to obtain the velocity and attenuation estimations. The processing workflow consists of three steps: (1) seismic data enhancement; (2) velocity reconstruction; and (3) attenuation ratio reconstruction. Karstic collapse columns are a kind of vertical structures typically formed at Carboniferous-permian coal fields of north China and widely distributed. In our example, two Karstic collapse columns are detected and their ranges are predicted based on the abnormal velocity and attenuation distribution. This prediction is verified by the following coal mining.