1887
ASEG2013 - 23rd Geophysical Conference
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

A special challenge of hard rock exploration is to identify targets of interest within complex geological settings. Interpretation of the geology can be made from direct geological observations and knowledge of the area, and from 2D or 3D seismic surveys. These interpretations can be developed into 3D geological models that provide the basis for predictions as to likely targets for drilling and/or mining. To verify these predictions we need to simulate 3D seismic wave propagation in the proposed geological models and compare the simulation results to seismic survey data. To achieve this we convert geological surfaces created in an interpretation software package into discretised block models representing the different lithostratigraphic units, and segment these into discrete volumes to which appropriate density and seismic velocity values are assigned. This approach allows us to scale models appropriately for desired wave propagation parameters and to go from local to global geological models and vice versa. Then we use these digital models with forward modelling codes to undertake numerous 3D acoustic wave simulations. Simulations are performed with single shot and with exploding reflector (located on extracted geological surface) configurations.

Loading

Article metrics loading...

/content/journals/10.1071/ASEG2013ab106
2013-12-01
2026-01-14
Loading full text...

Full text loading...

References

  1. Calcagnoa, P., Chilèsb, J.P., Courriouxa, G. and Guillena, A., 2008, Geological modelling from field data and geological knowledge Part I. Modelling method coupling 3D potential- field interpolation and geological rules, Physics of the Earth and Planetary Interiors 171 (2008) 147-157
  2. Caumon, G., Collon-Drouaillet, P., Le Carlier de Veslud, C., Viseur, S. and Sausse, J., 2009, Surface-Based 3D Modeling of Geological Structures, Mathematical Geosciences, November 2009, Volume 41, Issue 8, pp 927-945
  3. de Kemp, E.A. and Sprague, K.B., 2003, Interpretive Tools for 3-D Structural Geological Modeling Part I: Bézier-Based Curves, Ribbons and Grip Frames, GeoInformatica, March 2003, Volume 7, Issue 1, pp 55-71
  4. Guillena, A., Calcagnoa, P., Courriouxa, G., Jolyb, A. and Ledrua, P., 2008, Geological modelling from field data and geological knowledge Part II. Modelling validation using gravity and magnetic data inversion, Physics of the Earth and Planetary Interiors 171 (2008) 158-169
  5. Madagascar, 2012a, Madagascar: Main Page, http://www.ahay.org/wiki/Main_Page, accessed 14 December 2012.
  6. Madagascar, 2012b, List of programs: sfawefd3d, http://www.reproducibility.org/RSF/sfawefd3d.html, accessed 20 December 2012.
  7. Python, Python Programming Language - Official Website http://www.python.org, accessed 20 December 2012
  8. Scipy, 2012, Multi-dimensional image processing: scipy.ndimage module, http://docs.scipy.org/doc/scipy/reference/ndimage.html, accessed 20 December 2012.
  9. Sprague, K.B. and de Kemp, E.A., 2005, Interpretive Tools for 3-D Structural Geological Modelling Part II: Surface Design from Sparse Spatial Data, GeoInformatica, March 2005, Volume 9, Issue 1, pp 5-32
/content/journals/10.1071/ASEG2013ab106
Loading
  • Article Type: Research Article
Keyword(s): 3D acoustic forward modelling; 3D geological model; 3D velocity model
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