In this paper we study the potential of symmetry attribute analysis applied to the phase component of electric field observations of marine controlled-source electromagnetic data. The effectiveness of symmetry attribute analysis on the phase component of marine controlled-source electromagnetic data in detecting the boundaries of resistive layer(s), such as hydrocarbon accumulation, is investigated. A comparison between symmetry attribute analysis on the phase and magnitude component of 2.5D synthetic data and a real data set is also discussed. The results presented a clear response indicative of the locations of the subsurface resistors. The phase symmetry attribute analysis proved to be effective for qualitative detection of the lateral extent of embedded resistors.

Investigation of symmetry attribute analysis on the phase measurements of marine controlled-sourceelectromagnetic surveys

EZIEKE, ARINZE HAWKINS HYCIENTH;HAMDI HEMIDA MAHMOUD MANSI, AHMED;BERNASCONI, GIANCARLO
2016

Abstract

In this paper we study the potential of symmetry attribute analysis applied to the phase component of electric field observations of marine controlled-source electromagnetic data. The effectiveness of symmetry attribute analysis on the phase component of marine controlled-source electromagnetic data in detecting the boundaries of resistive layer(s), such as hydrocarbon accumulation, is investigated. A comparison between symmetry attribute analysis on the phase and magnitude component of 2.5D synthetic data and a real data set is also discussed. The results presented a clear response indicative of the locations of the subsurface resistors. The phase symmetry attribute analysis proved to be effective for qualitative detection of the lateral extent of embedded resistors.
Controlled-source electromagnetic survey; CSEM; EM; M-CSEM; MVO; phase and magnitude versus offset; PVO; Symmetry attribute analysis; Oceanography; Geophysics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1011621
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