1887
Volume 23, Issue 1-2
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

The application of 3-D surface seismic methods in delineating the areal extent of subtle coal-seam faults is discussed. Using a case history from the Sydney Basin, we show that the potential for seismic methods in coal exploration is underestimated. This is attributed, to some extent, to the widespread use of 2-D surface seismic methods, which are frequently inadequate for resolving the typical problems encountered in coal mining.

Using 3-D seismic data, an important distinction between the resolution and detection limits is shown. The application of seismic migration of coal data is also stressed as being an essential processing step. Finally, map attribute analysis is introduced for the interpretation of coal 3-D seismic data, and a method to eliminate subjective interpretation is offered.

Loading

Article metrics loading...

/content/journals/10.1071/EG992387
1992-03-01
2026-01-18
Loading full text...

Full text loading...

References

  1. Cook, J. (1965). ‘Seismic mapping of underground cavities using reflection amplitudes’. Geophysics30, 527–538.
  2. Fairbairn, C. M., and Ward, W. A. (1984). ‘The use of high-pass filtering to aid detection of small reflector discontinuities’. 46th Meeting of European Association of Exploration Geophysicists, London.
  3. Mason, I. M., Buchanan, D. J., and Booer, A K. (1980). ‘Chan mapping of coal seams in the United Kingdom’. Geophysics45, 1131–1143
  4. Tilbury, L. A., and Smith, P. A. (1988). ‘Seismic amplitude analysis: an end to field appraisal?’ APEA J. 144–188.
  5. Ward, W. A., Fairbairn, C. M., Green, C. M., and Barnett J. A. M. (1988) ‘Resolution of small faults in seismic reflection data from the British coal measures’. 50th Meeting of European Association of Exploration Geophysicsts, The Hague.
/content/journals/10.1071/EG992387
Loading
  • Article Type: Research Article
Keyword(s): 3-D; coal seams; faults; map attributes; seismic; trace attributes

Most Cited This Month Most Cited RSS feed

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