Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps
A multiattribute analysis has been carried out on near-surface Pleistocene strata where the seismic data quality is very good. Relevant seismic attributes that have a proven application in the fluvial system were generated and analyzed. RGB color blend along with self-organizing maps were applied to...
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Society of Exploration Geophysicists
2020
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my.utp.eprints.296982022-03-25T02:36:15Z Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps Babikir, I. Salim, A. Hermana, M. Latiff, A.H.A. Almasgari, A. A multiattribute analysis has been carried out on near-surface Pleistocene strata where the seismic data quality is very good. Relevant seismic attributes that have a proven application in the fluvial system were generated and analyzed. RGB color blend along with self-organizing maps were applied to reveal the depositional architecture of the interval. The extracted time slices were effectively characterized the depositional elements of the fluvial system. © 2020 Society of Exploration Geophysicists. Society of Exploration Geophysicists 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107732195&doi=10.1190%2fsegam2020-3428029.1&partnerID=40&md5=df864c1ef6979c3ab39e56ebf9a86a34 Babikir, I. and Salim, A. and Hermana, M. and Latiff, A.H.A. and Almasgari, A. (2020) Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps. In: UNSPECIFIED. http://eprints.utp.edu.my/29698/ |
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A multiattribute analysis has been carried out on near-surface Pleistocene strata where the seismic data quality is very good. Relevant seismic attributes that have a proven application in the fluvial system were generated and analyzed. RGB color blend along with self-organizing maps were applied to reveal the depositional architecture of the interval. The extracted time slices were effectively characterized the depositional elements of the fluvial system. © 2020 Society of Exploration Geophysicists. |
format |
Conference or Workshop Item |
author |
Babikir, I. Salim, A. Hermana, M. Latiff, A.H.A. Almasgari, A. |
spellingShingle |
Babikir, I. Salim, A. Hermana, M. Latiff, A.H.A. Almasgari, A. Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps |
author_facet |
Babikir, I. Salim, A. Hermana, M. Latiff, A.H.A. Almasgari, A. |
author_sort |
Babikir, I. |
title |
Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps |
title_short |
Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps |
title_full |
Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps |
title_fullStr |
Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps |
title_full_unstemmed |
Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps |
title_sort |
multiattribute analysis of a pleistocene fluvial system using rgb color blending and self-organizing maps |
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Society of Exploration Geophysicists |
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2020 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107732195&doi=10.1190%2fsegam2020-3428029.1&partnerID=40&md5=df864c1ef6979c3ab39e56ebf9a86a34 http://eprints.utp.edu.my/29698/ |
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