@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.}
}