NOISE REDUCTION THROUGH JOINT PROCESSING OF GRAVITY AND GRAVITY GRADIENT DATA

Pajot, G.; de Viron, O.; Diament, M.; Mikhailov, V.; Lequentrec-Lalancette, M.F.

Авторы: Pajot G., de Viron O., Diament M., Mikhailov V., Lequentrec-Lalancette M.F.
Журнал: Geophysics
Том: 73
Номер: 3
Год издания: 2008
Издательство: Society of Exploration Geophysicists
Местоположение издательства: United States
Первая страница: 123
Последняя страница: 134
DOI: 10.1190/1.2905222
Аннотация: In mineral and oil exploration, gravity gradient data can help to delineate small scale features, which cannot be retrieved from gravity measurements. Removing high frequency noise while preserving the high frequency real signal, is one of the most challenging tasks associated with gravity gradiometry data processing. We present here a method for noise reduction of gravity and gravity gradient data when both are measured in the same area, based on a least square simultaneous inversion of observations and physical constraints, inferred from the gravity gradient tensor definition and its mathematical properties. Instead of handling profiles individually, as in previous studies, our noise reduction method uses simultaneously measured values of the tensor componentsand of gravity in the whole survey area, benefiting from all available information. We show on synthetic examples that more than half of the random noise can be removed from all tensor components, and nearly all of the noise from the gravity anomaly, without altering the high frequency information. We apply our method to a set of marine gravity gradiometry data acquired by Bell Geospace in the Faroe-Shetland Basin, in order to demonstrate its power to resolve small-scale features.
Добавил в систему: Михайлов Валентин Олегович

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NOISE REDUCTION THROUGH JOINT PROCESSING OF GRAVITY AND GRAVITY GRADIENT DATAстатья

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