|
2D color display of Self Organizing Maps |
| ID |
53 |
| Title |
2D color display of Self Organizing Maps |
| Authors |
Marcilio Castro de Matos*, Kurt J. Marfurt, and Paulo Johann |
| Authors detail |
ConocoPhillips School of Geology & Geophysics, The University of Oklahoma, Norman, Oklahoma |
| Publication |
SEG Expanded Abstract |
| Publication Detail |
|
| Volume |
Nov-09 |
| Year |
2009 |
| Abstract |
Classification without supervision of patterns into groups is formally called clustering. Depending on the application area these patterns are called data lists, observations or vectors. For exploration geophysicists, these patterns are usually associated with seismic attributes, seismic waveforms or seismic facies.
The main objective of this paper is to show how one of the most popular clustering algorithms - Kohonen Self-organizing Maps, should be applied to enhance seismic interpretation analysis associated with one and two-dimensional color maps |
| Keywords |
|
| Status |
Accepted |
|
