%0 Journal Article
%@ 03029743
%A Abdulkarim, M.
%A Shafie, A.
%A Wan Ahmad, W.F.
%A Razali, R.
%C Selangor
%D 2013
%F scholars:3357
%J Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
%K Airwaves; F-Statistics; Factorial design; Sea bed loggings; Shallow waters, Design; Higher order statistics; Information science; Surveys, Seawater effects
%P 206-217
%R 10.1007/978-3-319-02958-0₂₀
%T A simulation study on factors affecting airwaves using factorial design
%U https://khub.utp.edu.my/scholars/3357/
%V 8237 L
%X 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.
%Z cited By 2; Conference of 3rd International Visual Informatics Conference, IVIC 2013 ; Conference Date: 13 November 2013 Through 15 November 2013; Conference Code:100560