Airborne Gravity 2010 - Geoscience Australia

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Airborne Gravity 2010 Acknowledgments We thank the Organising Committee for their invitation to participate in the workshop. We also thank Vale and Sky Research Inc for supplying data used in this study. The work is supported in part by the Gravity and Magnetics Research Consortium sponsored by Anadarko, BGP, BP, ConocoPhillips, Marathon, and Vale. References Davis, K., and Li, Y., 2007, A fast approach to magnetic equivalent source processing using an adaptive quadtree mesh discretisation: Extended Abstract, 19th Geophysical Conference and Exhibition, Australian Society of Exploration Geophysicists. Dorr, J. V. N., 1965, Nature and origin of the high-grade hematite ores of Minas Gerais, Brazil: Economic Geology, 60, 1-46. Eso, R. and Oldenburg, D., 2007, Efficient 2.5D resistivity modeling using a quadtree discretisation: In Conference Proceedings, 20, 381-385, Symposium of Applied Geophysics on Engineering and Environmental Problems, EEGS, Denver, CO. Frey, P. J., and Marechal, L., 1998, Fast adaptive quadtree mesh generation: 7th International Meshing Roundtable, 211-224, Sandia National Laboratories. Gerstner, T., 1999, Adaptive hierarchical methods for landscape representation and analysis: Lecture Notes in Earth Sciences, 78, 75-92. Jacobsen, B. H., 1987, Discussion on “A case for upward continuation as a standard separation filter for potential-field maps”: Geophysics, 52, 1138-1148. Lane, R., 2004, Integrating ground and airborne data into regional gravity compilations: In R. J. L. Lane (editor), Airborne Gravity 2004 – Abstracts from the ASEG-PESA Airborne Gravity 2004 Workshop: Geoscience Australian Record 2004/18, 81-97. Li, Y., 2001, 3D inversion of gravity gradiometer data: SEG Technical Program Expanded Abstract, 20, 1470-1473. Li, Y., and Oldenburg, D. W., 2003, Fast inversion of large-scale magnetic data using wavelet transforms and logarithmic barrier method: Geophysical Journal International, 152, 251-265. Nocedal, J., and Wright, S. J., 1999, Numerical optimatization: Springer Science. 141
Airborne Gravity 2010 Abstract Recent developments with Air-FTG ® Colm A. Murphy 1 1 Bell Geospace Limited (cmurphy@bellgeo.com) Air-FTG ® has enjoyed considerable success worldwide for the period since the Airborne Gravity 2004 Workshop on both mineral and petroleum exploration projects. Improved acquisition and data processing procedures have been pivotal in its ability to produce fast and reliable results that allow the end user to make cost effective decisions on their exploration programmes. Noise level reduction has been achieved through installation aboard slower moving and more stable platforms. Airships offer a platform that yielded a Tzz detectability of 1 to 1.5 Eo over 100 m spatial wavelengths in 2006. The current platform of choice for Air-FTG ® technology is the fixed wing BT67 aircraft yielding 2 to 3 Eo over 200 m spatial wavelengths detectability for Tzz, which represents a significant improvement from the 5 to 6 Eo over 400 m spatial wavelengths reported in 2004. Concurrent with improvements to data acquisition, new data processing tools have been developed to better extract geological signature patterns and suppress residual systematic noise. The concept of Full Tensor Noise Reduction (FTNR) was introduced in 2006. FTNR exploits the properties of the full tensor to isolate signal from noise in each of the Tensor components. The benefits are remarkable and contribute enormously to the fast turnaround on Air-FTG ® survey programmes, often within days of survey completion. The benefits of the FTNR technique rest with data interpretation. The introduction of an invariant analysis technique in 2007 allows the end user to quickly generate target anomaly and lineament maps directly from processed data. These improvements to Air-FTG ® technology have contributed to its acceptance as a viable exploration tool by not only fast tracking identification of target geology but mapping their geological setting in a timely manner. Introduction Air-FTG ® is a much used technology on both mineral and petroleum exploration projects around the world. The successful deployment has seen the technology used for both green and brown field exploration programmes as explorers expand their activities in the search for new resources. There are many factors that impact the choice of system from technical to logistical, with Air-FTG ® proving to be competitive because the system provides high resolution and high S/N data on a consistent basis and is able to deliver workable products in a timely fashion, often within weeks upon end of acquisition. When first introduced, the technology attained a 5 Eo resolution over 400 to 500 m wavelengths (Hammond and Murphy, 2003). Hatch (2004) confirmed these figures through his assessment of the technology on survey work performed late 2003. This represented a significant achievement for such a new technology. However, many improvements have been made since. It was recognised early that to make significant in-roads to improving data quality, the technology needed to be installed on a slower moving and more stable platform. Data quality would improve because such a platform would induce less vertical accelerations caused by aircraft turbulence on the instrument. The resultant effect was an improved data quality to 3 Eo over 300 m wavelengths reported by Murphy et al. (2006). In addition, new software tools for QC and processing were developed to take advantage of the improved data quality. The use of invariant analysis techniques (Murphy and Brewster, 2007) permitted the end user to directly extract geological target and lineament maps from Air-FTG ® data. 142
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