1887
ASEG2010 - 21st Geophysical Conference
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

Summary

We present a method for modelling the terrain response in gravity gradiometry surveys utilizing an adaptive quadtree mesh discretization. The data-dependent method is tailored to provide rapid and accurate spatial terrain corrections for ground, seaborne, or draped airborne surveys. The surface used in the modelling of terrain effect at each datum is discretized automatically to the largest cell size that will yield the desired accuracy, resulting in much faster modelling than full-resolution calculations. The largest cell sizes within the model occur in areas of minimal correction and at large distances away from the data location. We show synthetic and field examples for proof of concept. The adaptive quadtree method reduces the computational cost of the field example by performing 99.7% fewer calculations than the full model would require while retaining an accuracy of one Eötvös for the gradient data.

Loading

Article metrics loading...

/content/journals/10.1081/22020586.2010.12041984
2010-12-01
2026-01-13
Loading full text...

Full text loading...

References

  1. Ascher, U. M., and E. Haber, 2001, Grid refinement and scaling for distributed parameter estimation problems: Inverse Problems, 17, 517–590.
  2. Chen, J., and J. Macnae, 1997, Terrain corrections are critical for airborne gravity gradiometer data: Exploration Geophysics, 28, 21–25.
  3. Davis, K., and Y. Li, 2007, A fast approach to magnetic equivalent source processing using an adaptive quadtree mesh discretization: Presented at the 19th Annual Conference and Exhibition, Australian Society of Exploration Geophysicists.
  4. Eso, R., and D. Oldenburg, 2007, Efficient 2.5D resistivity modeling using a quadtree discretization: Conference Proceedings, 381–385, Symposium of Applied Geophysics on Engineering and Envirnmental Problems.
  5. Frey, P. J., and L. Marechal, 1998, Fast adaptive quadtree mesh generation: 7th International Meshing Roundtable, 211–224, Sandia National Laboratories.
  6. Gerstner, T., 1999, Adaptive hierarchical methods for landscape representation and analysis: Lecture Notes in Earth Sciences, 78, 75–92.
  7. Hammer, S., 1939, Terrain corrections for gravimeter stations: Geophysics, 4, 184-194.
  8. ——–, 1974, Topographic and terrain correction for airborne gravity: Geophysics, 39.
  9. Kass, M., and Y. Li, 2008, Practical aspects of terrain correction in airborne gravity gradiometry surveys: Exploration Geophysics, 39, 198–203.
  10. Li, Y., 2001, 3D inversion of gravity gradiometry data: Presented at the 71st Annual International Meeting, Society of Exploration Geophysicists.
  11. Reid, A. B., 1980, Aeromagnetic survey design: Geophysics, 45, 973–976.
  12. Sharma, P. V., 1966, Rapid computation of magnetic anomalies and demagnetization effects caused by bodies of arbitrary shape: Pure and Applied Geophysics, 64, 89–109.
  13. Zhang, C., M. F. Mushayandebvu, A. B. Reid, J. D. Fairhead, and M. E. Odegard, 2000, Euler deconvolution of gravity tensor gradient data: Geophysics, 65, 512–520.
/content/journals/10.1081/22020586.2010.12041984
Loading
  • Article Type: Research Article
Keyword(s): gravity gradiometry; processing; terrain correction
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error