eprintid: 3540
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/35/40
datestamp: 2023-11-09 15:51:48
lastmod: 2023-11-09 15:51:48
status_changed: 2023-11-09 15:47:03
type: article
metadata_visibility: show
creators_name: Abdul Karim, S.A.B.
creators_name: Yahya, N.
title: Seabed loging data curve fitting using cubic splines
ispublished: pub
note: cited By 3
abstract: Deep water and deep target environment for Seabed Loging (SBL) has been a challenge, and the better delineation method is needed. This paper describes the curve fitting methods namely smoothing spline and piecewise cubic Hermite interpolating polynomial (PCHIP) to give better delineation. In this work we simulated five geophysical layers namely air (500m), sea water (2000m), over burden (1000m), hydrocarbon (100m) and under burden (1000m) respectively. Target depth was increased gradually by 500m from 1000m to 3000m at constant frequency of 0.125Hz and 1250A current. Due to the weak electromagnetic signal from deep target of SBL we had chosen curve fitting methods to describe hydrocarbon reservoir. The results show that smoothing spline is quantified as compare to the PCHIP due to the existence of various noises in the SBL data. Several numerical results will be presented. © 2013 Samsul Ariffin Bin Abdul Karim and Noorhana Yahya.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880709679&partnerID=40&md5=806a414a2f17102583e39249d151ca28
full_text_status: none
publication: Applied Mathematical Sciences
volume: 7
number: 81-84
pagerange: 4015-4026
refereed: TRUE
issn: 1312885X
citation:   Abdul Karim, S.A.B. and Yahya, N.  (2013) Seabed loging data curve fitting using cubic splines.  Applied Mathematical Sciences, 7 (81-84).  pp. 4015-4026.  ISSN 1312885X