Tomographic Analysis of Multi-Component Seismic Data in a Mining Environment

Ruth Kettle - Bachelor of Science (Honours)

In the exploration arena, tomographic imaging is finding increased application in hydrocarbon exploration, reservoir characterisation and production engineeri ng. Tomographic imaging in hydrocarbon environments complements conventional s eismic methods and provides additional sub-surface images. Seismic tomography has, to a lesser degree, also been demonstrated in the hard-rock environment. In mineral exploration and mine planning, tomography has potential for delineat ion of fault structures, zones of fracturing and geological interfaces. In pra ctice, however, such hard-rock applications may be hindered by resolution issue s associated with the smaller scale and reduced velocity contrasts.

The purpose of this thesis is to examine practical aspects of hard-rock seismic tomography with reference to a real data set from the McArthur River mine in t he Northern Territory. Firstly, we plan to use synthetic tomographic data gene rated by elastic finite-difference modelling to examine resolution issues relev ant to the McArthur River geometry. Another important investigation we plan t o undertake is whether an enhanced tomographic solution can be obtained by expl oiting the vector nature of the multi-component data set.

This project was supported by the ASEG Research Foundation.



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