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Exploration Geophysics Exploration Geophysics Society
Journal of the Australian Society of Exploration Geophysicists
Exploration Geophysics

Exploration Geophysics

Volume 47 Number 2 2016


The magnetotelluric distortion tensor is analysed by two methods of linear algebra: eigenvalue analysis and singular value decomposition. Mohr diagrams display the results, and emphasise important characteristics of the distortion. Examples compare traditional Groom-Bailey decomposition with singular value decomposition.


We have conducted the first application of wavelet-based denoising techniques for processing raw TDIP data. Our investigation included laboratory and field measurements to better understand the advantages and limitations of these techniques. It was found that distortions arising from conventional filtering can be significantly avoided with wavelet-based methods.

EG15019Microtremor response of the Cheongcheon dam in Korea

Ki Young Kim and Young-Gyu Park
pp. 115-122

Microtremors were analysed using the H/H and H/V methods to estimate site effects of the Cheongcheon earthen dam in Korea. The peak near 3 Hz may correspond to depth to the bedrock, whereas the other peaks at higher frequencies may reflect the geometrical effect of the dam or overtone responses.

EG15020High lateral resolution exploration using surface waves from noise records

Francisco José Chávez-García and Toshiaki Yokoi
pp. 123-132

We use seismic interferometry to process ambient noise recorded in measurement lines. The Rayleigh wave component of the Green’s Functions is obtained with a high S/N ratio. Using CMPCC analysis, we can identify lateral variations of phase velocity inside the seismic line with higher resolution compared to conventional analysis.


This paper describes a cepstrum analysis using window functions to determine the interval between P-waves in similar, overlapping microseismic events. The window functions isolate the two P-waves and suppress the second S-wave. Applications of the method to both synthetic and field data show that it can identify the P-wave interval.


This paper describes the use of binary and multiclass support vector machine models with geophysical log data to estimate the volcanic lithology of the Liaohe Basin in China. A comparison between predicted data and actual data from four wells indicates that binary and multiclass support vector machine models are effective methods for classifying volcanic lithology.


A new method is presented for the inversion of airborne gamma-ray spectrometric line data to a regular grid of radioelement concentration estimates on the ground. The method incorporates the height of the aircraft and the topography. It eliminates terrain effects and improves the interpolation between flight lines.