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Understanding gravity gradients

Authors: Afif H. Saad;

Understanding gravity gradients

Abstract

Summary: Gravity gradients often produce a complex pattern of anomalies over their sources. To understand this pattern and to aid in the interpretation of measured gravity gradient data, gravity gradient components of the full gradient tensor are computed starting with the basic gravitational potential, followed by computing the first derivatives and second derivatives of the potential. A diapiric salt model in a geologic setting similar to the US Gulf Coast is used for these computations; the results are displayed in color contour maps on which the model is projected for easy reference and interpretation of the data. Combinations of various gravity gradient components are also presented to enhance the anomalies associated with the model and to aid in the interpretation. It is also noticed that there are similarities between surface variations of the horizontal Gravity and Gravity Gradient components and subsurface variations of vertical Gravity and vertical Gravity Gradient (or anomalous Apparent Density) such as those observed in a borehole.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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