eprintid: 3357
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/33/57
datestamp: 2023-11-09 15:51:37
lastmod: 2023-11-09 15:51:37
status_changed: 2023-11-09 15:46:38
type: article
metadata_visibility: show
creators_name: Abdulkarim, M.
creators_name: Shafie, A.
creators_name: Wan Ahmad, W.F.
creators_name: Razali, R.
title: A simulation study on factors affecting airwaves using factorial design
ispublished: pub
keywords: Airwaves; F-Statistics; Factorial design; Sea bed loggings; Shallow waters, Design; Higher order statistics; Information science; Surveys, Seawater effects
note: cited By 2; Conference of 3rd International Visual Informatics Conference, IVIC 2013 ; Conference Date: 13 November 2013 Through 15 November 2013; Conference Code:100560
abstract: In shallow water Sea Bed Logging (SBL) survey, air layer response from the Electro-Magnetic (EM) signals creates a disturbance known as the source-induced airwaves. The airwaves commonly denote the energy that propagates from the EM source via the atmosphere to the receiver on the seabed. As a result, the airwaves dominate the measured survey data, so that the sought-after signals from possible hydrocarbon layers in the subsurface can be totally masked. In this study, a 5x5 factorial design is used to analyze the effect of frequency, seawater conductivity, sediment conductivity, seawater depth and offset on the magnitude of airwaves. The result based on F-statistics, indicates that frequency has higher significant effect on the magnitude of the airwaves followed by the seawater depth, offset, seawater conductivity and sediment conductivity in that order. © 2013 Springer International Publishing.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887065785&doi=10.1007%2f978-3-319-02958-0_20&partnerID=40&md5=2e50030d3398133be08750582a0f1a87
id_number: 10.1007/978-3-319-02958-0₂₀
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 8237 L
place_of_pub: Selangor
pagerange: 206-217
refereed: TRUE
isbn: 9783319029573
issn: 03029743
citation:   Abdulkarim, M. and Shafie, A. and Wan Ahmad, W.F. and Razali, R.  (2013) A simulation study on factors affecting airwaves using factorial design.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8237 L.  pp. 206-217.  ISSN 03029743