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Computer algorithm for airwave prediction in marine controlled source electromagnetics data

This paper presents a methodology for quantifying airwaves as a noise component in Sea Bed Logging environment. Sea bed logging is an application of marine controlled source electromagnetic sounding applied for mainly offshore hydrocarbon detection in the subsurface. The basis of the approach is the...

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Main Authors:	Nyamasvisva, T.E., Hasbullah, H.B., Yahya, N., Nayan, Y.B., Rostami, A., Rauf, M.
Format:	Conference or Workshop Item
Published:	Institute of Electrical and Electronics Engineers Inc. 2016
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010310556&doi=10.1109%2fICCOINS.2016.7783246&partnerID=40&md5=56cc2edb30b22dcea74b38f40c7ec1c0 http://eprints.utp.edu.my/30517/
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spelling	my.utp.eprints.305172022-03-25T07:09:45Z Computer algorithm for airwave prediction in marine controlled source electromagnetics data Nyamasvisva, T.E. Hasbullah, H.B. Yahya, N. Nayan, Y.B. Rostami, A. Rauf, M. This paper presents a methodology for quantifying airwaves as a noise component in Sea Bed Logging environment. Sea bed logging is an application of marine controlled source electromagnetic sounding applied for mainly offshore hydrocarbon detection in the subsurface. The basis of the approach is the difference in resistivity values of matter which comprise the subsurface and the overlying layers. A mobile electric dipole emits a low frequency electromagnetic signal both into the overlying water column and downwards into the seabed. An array of sea floor receivers measures both the amplitude and the phase of the received signal that depend on the resistivity structure beneath the seabed. A survey consisting of many transmitter and receiver locations can be used to determine a multidimensional model of subsea floor resistivity. The received signal is a composition of many signal which are multiplexed to form a complex signal. This signal consists of wanted and unwanted data of which the technique described in here separates the unwanted air waves from the wanted. A mathematical model to quantify the amount of airwave at any given sea water depth from a defined offset is proposed. The method described here has managed to eliminate more than 99.5 percent of the airwave noise from shallow water deep target environment data. Data used was collected from a simulated model of offset 50Km, and cross sectional depth of 10km of which 6km makes the subsurface. Â© 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010310556&doi=10.1109%2fICCOINS.2016.7783246&partnerID=40&md5=56cc2edb30b22dcea74b38f40c7ec1c0 Nyamasvisva, T.E. and Hasbullah, H.B. and Yahya, N. and Nayan, Y.B. and Rostami, A. and Rauf, M. (2016) Computer algorithm for airwave prediction in marine controlled source electromagnetics data. In: UNSPECIFIED. http://eprints.utp.edu.my/30517/
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/
description	This paper presents a methodology for quantifying airwaves as a noise component in Sea Bed Logging environment. Sea bed logging is an application of marine controlled source electromagnetic sounding applied for mainly offshore hydrocarbon detection in the subsurface. The basis of the approach is the difference in resistivity values of matter which comprise the subsurface and the overlying layers. A mobile electric dipole emits a low frequency electromagnetic signal both into the overlying water column and downwards into the seabed. An array of sea floor receivers measures both the amplitude and the phase of the received signal that depend on the resistivity structure beneath the seabed. A survey consisting of many transmitter and receiver locations can be used to determine a multidimensional model of subsea floor resistivity. The received signal is a composition of many signal which are multiplexed to form a complex signal. This signal consists of wanted and unwanted data of which the technique described in here separates the unwanted air waves from the wanted. A mathematical model to quantify the amount of airwave at any given sea water depth from a defined offset is proposed. The method described here has managed to eliminate more than 99.5 percent of the airwave noise from shallow water deep target environment data. Data used was collected from a simulated model of offset 50Km, and cross sectional depth of 10km of which 6km makes the subsurface. Â© 2016 IEEE.
format	Conference or Workshop Item
author	Nyamasvisva, T.E. Hasbullah, H.B. Yahya, N. Nayan, Y.B. Rostami, A. Rauf, M.
spellingShingle	Nyamasvisva, T.E. Hasbullah, H.B. Yahya, N. Nayan, Y.B. Rostami, A. Rauf, M. Computer algorithm for airwave prediction in marine controlled source electromagnetics data
author_facet	Nyamasvisva, T.E. Hasbullah, H.B. Yahya, N. Nayan, Y.B. Rostami, A. Rauf, M.
author_sort	Nyamasvisva, T.E.
title	Computer algorithm for airwave prediction in marine controlled source electromagnetics data
title_short	Computer algorithm for airwave prediction in marine controlled source electromagnetics data
title_full	Computer algorithm for airwave prediction in marine controlled source electromagnetics data
title_fullStr	Computer algorithm for airwave prediction in marine controlled source electromagnetics data
title_full_unstemmed	Computer algorithm for airwave prediction in marine controlled source electromagnetics data
title_sort	computer algorithm for airwave prediction in marine controlled source electromagnetics data
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2016
url	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010310556&doi=10.1109%2fICCOINS.2016.7783246&partnerID=40&md5=56cc2edb30b22dcea74b38f40c7ec1c0 http://eprints.utp.edu.my/30517/
_version_	1738657118775410688
score	13.211869

Computer algorithm for airwave prediction in marine controlled source electromagnetics data

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