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Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique

This paper discusses on the use of Cubic Spline Interpolation with Mean Square Error (MSE) as tools to process data acquired from in house built simulator and from scaled down experiments that replicate sea bed logging environment. Sea bed logging (SBL) is a new technique that uses marine controlled...

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Main Authors: Daud, Hanita, Yahya, Noorhana, Asirvadam , Vijanth Sagayan, Talib, Ahmad Muizuddin
Format: Conference or Workshop Item
Published: 2012
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/7836/1/AMEE_47_FinalVersion.pdf
http://eprints.utp.edu.my/7836/
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spelling my.utp.eprints.78362017-03-20T01:59:32Z Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique Daud, Hanita Yahya, Noorhana Asirvadam , Vijanth Sagayan Talib, Ahmad Muizuddin QA75 Electronic computers. Computer science This paper discusses on the use of Cubic Spline Interpolation with Mean Square Error (MSE) as tools to process data acquired from in house built simulator and from scaled down experiments that replicate sea bed logging environment. Sea bed logging (SBL) is a new technique that uses marine controlled source electromagnetic (CSEM) sounding technique and is proven to be successful in detecting and characterizing hydrocarbon bearing reservoirs in deep water area. This technique uses resistivity contrast as hydrocarbon reservoirs are known to have resistivity value of 30 – 500 Ωm in contrast to sea water of 0.5 – 2 Ωm and sediments of 1 -2 Ωm. Data collected from this technique is enormous; therefore good processing tools are required. To acquire real data is very costly therefore in house built simulator and scaled experiments are used as source of data. In this work we focus only on frequency variations and how it may affect the electromagnetic wave’s amplitude. Data collected are processed using cubic spline interpolation technique (degree of three) and mean square error (MSE) are calculated between original data and interpolated data. Comparisons are made by studying the MSE trend for data that has no hydrocarbon and with hydrocarbon in the set up. It is found that as the frequency increases, the EM waves amplitude is reduced. It is also found that MSE is higher for data that have hydrocarbon in the set up. 2012-01-18 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/7836/1/AMEE_47_FinalVersion.pdf Daud, Hanita and Yahya, Noorhana and Asirvadam , Vijanth Sagayan and Talib, Ahmad Muizuddin (2012) Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique. In: 2012: International Conference on Applied Materials and Electronics Engineering, 18/01/12 - 20/1/2012, Hong Kong. http://eprints.utp.edu.my/7836/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Daud, Hanita
Yahya, Noorhana
Asirvadam , Vijanth Sagayan
Talib, Ahmad Muizuddin
Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique
description This paper discusses on the use of Cubic Spline Interpolation with Mean Square Error (MSE) as tools to process data acquired from in house built simulator and from scaled down experiments that replicate sea bed logging environment. Sea bed logging (SBL) is a new technique that uses marine controlled source electromagnetic (CSEM) sounding technique and is proven to be successful in detecting and characterizing hydrocarbon bearing reservoirs in deep water area. This technique uses resistivity contrast as hydrocarbon reservoirs are known to have resistivity value of 30 – 500 Ωm in contrast to sea water of 0.5 – 2 Ωm and sediments of 1 -2 Ωm. Data collected from this technique is enormous; therefore good processing tools are required. To acquire real data is very costly therefore in house built simulator and scaled experiments are used as source of data. In this work we focus only on frequency variations and how it may affect the electromagnetic wave’s amplitude. Data collected are processed using cubic spline interpolation technique (degree of three) and mean square error (MSE) are calculated between original data and interpolated data. Comparisons are made by studying the MSE trend for data that has no hydrocarbon and with hydrocarbon in the set up. It is found that as the frequency increases, the EM waves amplitude is reduced. It is also found that MSE is higher for data that have hydrocarbon in the set up.
format Conference or Workshop Item
author Daud, Hanita
Yahya, Noorhana
Asirvadam , Vijanth Sagayan
Talib, Ahmad Muizuddin
author_facet Daud, Hanita
Yahya, Noorhana
Asirvadam , Vijanth Sagayan
Talib, Ahmad Muizuddin
author_sort Daud, Hanita
title Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique
title_short Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique
title_full Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique
title_fullStr Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique
title_full_unstemmed Effect of Frequency Variation to Sea Bed Logging using SPLINE Interpolation Technique
title_sort effect of frequency variation to sea bed logging using spline interpolation technique
publishDate 2012
url http://eprints.utp.edu.my/7836/1/AMEE_47_FinalVersion.pdf
http://eprints.utp.edu.my/7836/
_version_ 1738655606837870592
score 13.211869

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