Visualization of Sediment Thickness Variation for Sea Bed Logging using Spline Interpolation
This paper discusses on the use of Spline Interpolation and Mean Square Error (MSE) as tools to process data acquired from the developed simulator that shall replicate sea bed logging environment. Sea bed logging (SBL) is a new technique that uses marine controlled source electromagnetic (CSEM)...
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, World Academy of Science, Engineering and Technology
2012
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Online Access: | http://eprints.utp.edu.my/7839/1/Bangkok2011_Journal.pdf http://www.waset.org/journals/ijmcs/v6.php http://eprints.utp.edu.my/7839/ |
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my.utp.eprints.78392017-01-19T08:21:56Z Visualization of Sediment Thickness Variation for Sea Bed Logging using Spline Interpolation Daud, Hanita Yahya, Noorhana Asirvadam , Vijanth Sagayan Talib, Ahmad Muizuddin TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science This paper discusses on the use of Spline Interpolation and Mean Square Error (MSE) as tools to process data acquired from the developed simulator that shall 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 very successful in detecting and characterizing hydrocarbon reservoirs in deep water area by using resistivity contrasts. It uses very low frequency of 0.1Hz to 10 Hz to obtain greater wavelength. In this work the in house built simulator was used and was provided with predefined parameters and the transmitted frequency was varied for sediment thickness of 1000m to 4000m for environment with and without hydrocarbon. From series of simulations, synthetics data were generated. These data were interpolated using Spline interpolation technique (degree of three) and mean square error (MSE) were calculated between original data and interpolated data. Comparisons were made by studying the trends and relationship between frequency and sediment thickness based on the MSE calculated. It was found that the MSE was on increasing trends in the set up that has the presence of hydrocarbon in the setting than the one without. The MSE was also on decreasing trends as sediment thickness was increased and with higher transmitted frequency. , World Academy of Science, Engineering and Technology 2012 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/7839/1/Bangkok2011_Journal.pdf http://www.waset.org/journals/ijmcs/v6.php Daud, Hanita and Yahya, Noorhana and Asirvadam , Vijanth Sagayan and Talib, Ahmad Muizuddin (2012) Visualization of Sediment Thickness Variation for Sea Bed Logging using Spline Interpolation. [Citation Index Journal] http://eprints.utp.edu.my/7839/ |
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TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science Daud, Hanita Yahya, Noorhana Asirvadam , Vijanth Sagayan Talib, Ahmad Muizuddin Visualization of Sediment Thickness Variation for Sea Bed Logging using Spline Interpolation |
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This paper discusses on the use of Spline Interpolation
and Mean Square Error (MSE) as tools to process data acquired from
the developed simulator that shall 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 very successful in detecting and characterizing hydrocarbon
reservoirs in deep water area by using resistivity contrasts. It uses
very low frequency of 0.1Hz to 10 Hz to obtain greater wavelength.
In this work the in house built simulator was used and was provided
with predefined parameters and the transmitted frequency was varied
for sediment thickness of 1000m to 4000m for environment with and
without hydrocarbon. From series of simulations, synthetics data were
generated. These data were interpolated using Spline interpolation
technique (degree of three) and mean square error (MSE) were
calculated between original data and interpolated data. Comparisons
were made by studying the trends and relationship between frequency
and sediment thickness based on the MSE calculated. It was found
that the MSE was on increasing trends in the set up that has the
presence of hydrocarbon in the setting than the one without. The MSE
was also on decreasing trends as sediment thickness was increased
and with higher transmitted frequency. |
format |
Citation Index Journal |
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 |
Visualization of Sediment Thickness Variation for
Sea Bed Logging using Spline Interpolation |
title_short |
Visualization of Sediment Thickness Variation for
Sea Bed Logging using Spline Interpolation |
title_full |
Visualization of Sediment Thickness Variation for
Sea Bed Logging using Spline Interpolation |
title_fullStr |
Visualization of Sediment Thickness Variation for
Sea Bed Logging using Spline Interpolation |
title_full_unstemmed |
Visualization of Sediment Thickness Variation for
Sea Bed Logging using Spline Interpolation |
title_sort |
visualization of sediment thickness variation for
sea bed logging using spline interpolation |
publisher |
, World Academy of Science, Engineering and Technology |
publishDate |
2012 |
url |
http://eprints.utp.edu.my/7839/1/Bangkok2011_Journal.pdf http://www.waset.org/journals/ijmcs/v6.php http://eprints.utp.edu.my/7839/ |
_version_ |
1738655607280369664 |
score |
13.19449 |