eprintid: 13597
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/35/97
datestamp: 2023-11-10 03:28:09
lastmod: 2023-11-10 03:28:09
status_changed: 2023-11-10 01:51:33
type: conference_item
metadata_visibility: show
creators_name: Babikir, I.
creators_name: Salim, A.
creators_name: Hermana, M.
creators_name: Latiff, A.H.A.
creators_name: Almasgari, A.
title: Multiattribute analysis of a pleistocene fluvial system using RGB color blending and self-organizing maps
ispublished: pub
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
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
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. © 2020 Society of Exploration Geophysicists.
date: 2020
publisher: Society of Exploration Geophysicists
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107732195&doi=10.1190%2fsegam2020-3428029.1&partnerID=40&md5=df864c1ef6979c3ab39e56ebf9a86a34
id_number: 10.1190/segam2020-3428029.1
full_text_status: none
publication: SEG Technical Program Expanded Abstracts
volume: 2020-O
pagerange: 1279-1283
refereed: TRUE
issn: 10523812
citation:   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.