@inproceedings{scholars13597, journal = {SEG Technical Program Expanded Abstracts}, year = {2020}, publisher = {Society of Exploration Geophysicists}, note = {cited By 5; Conference of Society of Exploration Geophysicists International Exhibition and 90th Annual Meeting, SEG 2020 ; Conference Date: 11 October 2020 Through 16 October 2020; Conference Code:165550}, pages = {1279--1283}, doi = {10.1190/segam2020-3428029.1}, volume = {2020-O}, title = {Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps}, keywords = {Blending; Deposition; Machine learning; Quality control; Seismology; Self organizing maps, Color-blending; Fluvial systems; Fluvial-deltaic; Fluvials; Multi-attribute analysis; Near surfaces; Pleistocene; Rgb colors; Seismic attributes; Time slice, Conformal mapping}, author = {Babikir, I. and Salim, A. and Hermana, M. and Latiff, A. H. A. and Almasgari, A.}, issn = {10523812}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107732195&doi=10.1190\%2fsegam2020-3428029.1&partnerID=40&md5=df864c1ef6979c3ab39e56ebf9a86a34}, abstract = {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. {\^A}{\copyright} 2020 Society of Exploration Geophysicists.} }