Airborne Gravity 2010 - Geoscience Australia

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Airborne Gravity 2010 References Berzhitzky, V. N., Bolotin, Y. V., Golovan, A. A., Ilyin, V. N., Parusnikov, N. A., Smoller, Y. L., and Yurist, S. S., 2002, GT-1A inertial gravimeter system – Results of flight tests, Lomonosov Moscow State University (MSU) - Faculty of Mechanics and Mathematics, p. 40, http://bib.tiera.ru/DVD-016/Berzhitzky_V.N.,_Bolotin_Y.V.,_Golovan_A.A._GT- 1A_inertial_gravimeter_system._Results_of_flight_tests._(2002)(en)(40s).pdf, accessed 11 August 2010) Gabell, A., Tuckett, H., and Olson, D., 2004, The GT-1A mobile gravimeter: In R.J.L. Lane (editor), Airborne Gravity 2004 – Abstracts from the ASEG-PESA Airborne Gravity 2004 Workshop: Geoscience Australian Record 2004/18, 55-61. NovAtel, n.d., Waypoint® Post-Processing Software: http://www.novatel.com/products/waypointsoftware/waypoint-post-processing-software/, accessed 8 August 2010. Sander, L., and Ferguson, S., 2010, Advances in SGL AirGRAV acquisition and processing: In R. J. L. Lane (editor), Airborne Gravity 2010 - Abstracts from the ASEG-PESA Airborne Gravity 2010 Workshop: Published jointly by Geoscience Australia and the Geological Survey of New South Wales, Geoscience Australia Record 2010/23 and GSNSW File GS2010/0457. Sander, S., Ferguson, S., Sander, L. and Lavoie, V., 2004, The AIRGrav airborne gravity system: In R. J. L. Lane (editor), Airborne Gravity 2004 - Abstracts from the ASEG-PESA Airborne Gravity 2004 Workshop: Geoscience Australia Record 2004/18, 49-54. Studinger, M., Bell, R. E., and Frearson, N. P., 2007, Gravimeter test flights to the North Pole: Poster PS-87 presented on Wednesday 29 August 2007 at ISAES X: 10th International Symposium on Antarctic Earth Sciences. Studinger, M., Bell, R., and Frearson, N., 2008, Comparison of AIRGrav and GT-1A airborne gravimeters for research applications: Geophysics, 73, I51-I61. Wooldridge, A., 2004, GT-1A Airborne Gravity, A Case History over the Vredefort Dome, South Africa: http://www.apgeophysics.com/downloads.html, accessed 11 August 2010. 171
Airborne Gravity 2010 Abstract Advances in SGL AIRGrav acquisition and processing Luise Sander 1 and Stephen Ferguson 2 1 Sander Geophysics (luise@sgl.com) 2 Sander Geophysics (sferguson@sgl.com) Sander Geophysics (SGL) has operated its AIRGrav airborne gravity system for over ten years and continues to work to improve the accuracy and resolution of the entire system. Recent advances in SGL's gravity data processing methods, involving advanced analysis of system dynamics and improved filtering, have enhanced the gravity data. These new processing procedures help to further reduce system noise and allow high quality, low noise raw gravity data to be acquired through a wider range of survey conditions than was previously possible. New data processing techniques have also allowed the extraction of the horizontal gravity components of the airborne gravity data in addition to the traditionally used scalar gravity measurement. Introduction Airborne gravity data have been collected since the late 1950’s (Thompson and LaCoste, 1960). In the late 1990’s, improvements in GPS processing and the introduction of a new gravity instrument, the AIRGrav system (Argyle et al., 2000) resulted in a significant reduction in airborne gravity noise levels. To date, more than 2,500,000 line km of AIRGrav data have been collected on surveys flown throughout the world. ‘Standard processing’ The AIRGrav system uses three orthogonal accelerometers, mounted on a three-axis, gyroscopically stabilized platform in conjunction with a specialized data acquisition system to monitor and record the data and parameters measuring gravimeter performance. In this paper, ‘standard airborne gravity data processing’ refers to a sequence of processing steps that includes the subtraction of the vertical accelerations of the aircraft that are measured using high quality differentially corrected GPS data from the vertical accelerations measured by the gravimeter, and the application of standard corrections to remove the effects of the rotation of the Earth, the movement of the platform over the globe, and terrain effects (Sander et al., 2004). Standard processing techniques have proven successful at extracting gravity data from the very dynamic aircraft environment where accelerations can reach 1 m/s 2 , equivalent to 100,000 mGal. High precision differential GPS processing techniques and a robust gravimeter system have resulted in final processed gravity grids with noise estimates of 0.1 to 0.3 mGal with a resolution of 2 kilometres. ‘Enhanced processing’ A processing procedure, which we will call ‘enhanced data processing’, that involves advanced analysis and improved filtering, has been added to the data processing stream to lower the noise and improve the resolution of the gravity data. An airborne survey for hydrocarbon exploration was flown using the AIRGrav system installed in one of SGL's Cessna Grand Caravans. Data from this project were processed using the standard technique described above as well as the enhanced processing method, allowing a direct comparison to be made using the two resulting data sets. On this project, a repeat test line was flown before and after each flight. An average test line response was computed by combining the data from each test line filtered using a 56-second line filter to create an “air truth” value for the test line in the manner described by Elieff and Ferguson (2008). The RMS error for each individual test line was then calculated based on the difference in response for this pass along the test line and the average response. These calculations were repeated for data processed both in the standard and enhanced methods. The line data processed using the enhanced method 172
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