eprintid: 2423
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/24/23
datestamp: 2023-11-09 15:50:39
lastmod: 2023-11-09 15:50:39
status_changed: 2023-11-09 15:43:30
type: conference_item
metadata_visibility: show
creators_name: Daud, H.
creators_name: Razali, R.
creators_name: Sagayan, V.
creators_name: Talib, M.
title: Sea bed logging: ANOVA analysis for em synthetics data from CST software
ispublished: pub
keywords: Computer simulation technology (CST); Controlled source electromagnetic (CSEM); Cubic-spline interpolation techniques; Sea bed logging (SBL); Sea bed loggings; Sediment thickness; Spline interpolation; Sum square error, Analysis of variance (ANOVA); Computer simulation; Electromagnetic logging; Electromagnetic waves; Sediments, Interpolation
note: cited By 0; Conference of 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012 ; Conference Date: 3 December 2012 Through 5 December 2012; Conference Code:98252
abstract: The aim of this study is to investigate the significant level of parameters for synthetics data generated from Computer Simulation Technology (CST) software that replicates sea bed logging environment using ANOVA analysis. Sea bed logging (SBL) is a technique of finding resistive layers under sea bed by transmitting low frequency EM waves through sea water and sediment. Low frequency is used to obtain greater wavelength for longer wave penetration. In this work frequency used are 0.5Hz, 0.25Hz, 0.125Hz and 0.0625Hz and sediment thickness are varied from 1000m to 3000m incremented every 250m. The acquired synthetics data have been processed using cubic spline interpolation technique with step sizes 4,8,12 and 16 and mean square errors (MSE) are calculated between the original and interpolated data. ANOVA analyses are applied to these MSE to investigate whether the parameters such as sediment thickness, frequency and spline step sizes are significant or not. It was found all the three parameters of interests are significant to the MSE calculated. © 2012 AICIT.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881137215&partnerID=40&md5=be80be70a989040666d846e1dd28d987
full_text_status: none
publication: Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012
place_of_pub: Seoul
pagerange: 1430-1435
refereed: TRUE
isbn: 9788994364216
citation:   Daud, H. and Razali, R. and Sagayan, V. and Talib, M.  (2012) Sea bed logging: ANOVA analysis for em synthetics data from CST software.  In: UNSPECIFIED.