Airborne Gravity 2010 - Geoscience Australia
Airborne Gravity 2010 - Geoscience Australia
Airborne Gravity 2010 - Geoscience Australia
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
<strong>Airborne</strong> <strong>Gravity</strong> <strong>2010</strong><br />
Figure 3. Comparison of Levelled and Full Tensor Noise Reduction processed Txy component<br />
data. The FTNR processed data has reduced noise levels and is better able to image subsurface<br />
geological features.<br />
Fast track interpretation of full tensor data<br />
Murphy and Brewster (2007) described a procedure for interpreting Tensor component data that, like<br />
the FTNR process, exploits the properties of full tensor data to compute new and innovative tensor<br />
representations from the final processed and tensor component data. Pedersen and Rasmussen<br />
(1990) recognised this possibility in the days before tensor data acquisition was truly possible and<br />
described the computation of two invariant tensor quantities that makes use of all tensor components.<br />
The output quantities are invariant, i.e., independent of the observer’s frame of reference.<br />
If we assume that the FTNR processed data not only produces a high S/N ratio data set, but one that<br />
is also internally stable and truly representative of the gravity gradient tensor, then it becomes possible<br />
to compute new tensor representations as additional images of the sub-surface geological contribution<br />
to the gravity signal.<br />
Dickinson et al. (2009) summarise the methodology and discuss their application. The rotational<br />
invariant tensor, I2 is a combination of the vertical and horizontal tensor components and is used for<br />
imaging signature patterns arising from 3D shaped geological targets such as fault blocks, igneous<br />
intrusives, salt bodies, and ore bodies. Invariant tensor representations combining just the horizontal<br />
component data facilitate lineament mapping by imaging geological contact information generated<br />
from lateral density contrasts.<br />
Figure 4 shows an example of where the rotation invariant tensor computation was used to isolate<br />
signature patterns associated with an igneous intrusive centre in eastern Canada for Celtic Minerals.<br />
Mataragio and Kieley (2009) describe the compound feature as a series of steeply dipping high<br />
density bodies associated with a prominent fault system. Their close proximity to each other yields the<br />
long wavelength, high amplitude positive Tzz anomaly shown in Figure 4(a). The rotation invariant I2<br />
tensor response is shown in Figure 4(c). The corresponding 1 st vertical derivative response in Figure<br />
4(d) images these individual steeply dipping igneous intrusives particularly clearly.<br />
148