Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging
This research aims to apply the FASTICA and Infomax algorithm in the field of seabed logging, by utilizing the Principal Component Analysis (PCA) as preprocessor. All the three algorithms are statistical algorithms used for signal deconvolution and are respectively in the field of Independent Compon...
| Main Authors: | Ansari, A., Shafie, A.B., Ansari, S., Said, A.B.M., Nyamasvisva, E.T., Abdulkarim, M., Rauf, M. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31169 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938813490&doi=10.1109%2fICCOINS.2014.6868356&partnerID=40&md5=454adf6ce5c29bd66b9d2eba55d29631 http://eprints.utp.edu.my/31169/ |
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utp-eprints.311692022-03-25T09:01:57Z Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging Ansari, A. Shafie, A.B. Ansari, S. Said, A.B.M. Nyamasvisva, E.T. Abdulkarim, M. Rauf, M. This research aims to apply the FASTICA and Infomax algorithm in the field of seabed logging, by utilizing the Principal Component Analysis (PCA) as preprocessor. All the three algorithms are statistical algorithms used for signal deconvolution and are respectively in the field of Independent Component Analysis (ICA). In seabed logging (SBL) implies the marine controlled source electromagnetic (CSEM) technique for the detection of hydrocarbons underneath the seabed floor. The results from SBL, indicate the presence of Hydrocarbon, but due to the presence of noise, in the form of airwaves, interfere with the signals from the subsurface and tend to dominate the receiver response. Hence, the Infomax and FASTICA de-convolution algorithms are used, considering PCA as a pre-processor to filter out the airwaves which disrupt the subsurface signals within the receiver response. The results obtained from simulations and their comparative analysis, indicate that the results from the infomax algorithm are better. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938813490&doi=10.1109%2fICCOINS.2014.6868356&partnerID=40&md5=454adf6ce5c29bd66b9d2eba55d29631 Ansari, A. and Shafie, A.B. and Ansari, S. and Said, A.B.M. and Nyamasvisva, E.T. and Abdulkarim, M. and Rauf, M. (2014) Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging. In: UNSPECIFIED. http://eprints.utp.edu.my/31169/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
This research aims to apply the FASTICA and Infomax algorithm in the field of seabed logging, by utilizing the Principal Component Analysis (PCA) as preprocessor. All the three algorithms are statistical algorithms used for signal deconvolution and are respectively in the field of Independent Component Analysis (ICA). In seabed logging (SBL) implies the marine controlled source electromagnetic (CSEM) technique for the detection of hydrocarbons underneath the seabed floor. The results from SBL, indicate the presence of Hydrocarbon, but due to the presence of noise, in the form of airwaves, interfere with the signals from the subsurface and tend to dominate the receiver response. Hence, the Infomax and FASTICA de-convolution algorithms are used, considering PCA as a pre-processor to filter out the airwaves which disrupt the subsurface signals within the receiver response. The results obtained from simulations and their comparative analysis, indicate that the results from the infomax algorithm are better. © 2014 IEEE. |
| format |
Conference or Workshop Item |
| author |
Ansari, A. Shafie, A.B. Ansari, S. Said, A.B.M. Nyamasvisva, E.T. Abdulkarim, M. Rauf, M. |
| spellingShingle |
Ansari, A. Shafie, A.B. Ansari, S. Said, A.B.M. Nyamasvisva, E.T. Abdulkarim, M. Rauf, M. Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging |
| author_sort |
Ansari, A. |
| title |
Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging |
| title_short |
Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging |
| title_full |
Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging |
| title_fullStr |
Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging |
| title_full_unstemmed |
Infomax and FASTICA using principle component analysis as preprocessor for airwave removal in seabed logging |
| title_sort |
infomax and fastica using principle component analysis as preprocessor for airwave removal in seabed logging |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2014 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938813490&doi=10.1109%2fICCOINS.2014.6868356&partnerID=40&md5=454adf6ce5c29bd66b9d2eba55d29631 http://eprints.utp.edu.my/31169/ |
| _version_ |
1741197529774555136 |
| score |
11.62408 |