The Geomagnetic Gradiometer

Slack, Howard A.; Lynch, Vance M.; Langan, Lee

doi:10.1190/1.1439897

Cited by 61 publications

(18 citation statements)

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“…Typically, several indices are used, and the one that provides the best fit to known superficial geological structure, seismic data, boreholes, etc., or the one having good clustering properties is accepted. [On a possibility to estimate structural index, see Slack et al (1967), Steenland (1968), Barbosa et al (1999), and Martelet et al (2001)]. …”

Section: The Methods Of Euler Deconvolutionmentioning

confidence: 99%

Application of artificial intelligence for Euler solutions clustering

et al. 2003

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Results of Euler deconvolution strongly depend on the selection of viable solutions. Synthetic calculations using multiple causative sources show that Euler solutions cluster in the vicinity of causative bodies even when they do not group densely about the perimeter of the bodies. We have developed a clustering technique to serve as a tool for selecting appropriate solutions.The clustering technique uses a methodology based on artificial intelligence, and it was originally designed to classify large data sets. It is based on a geometrical approach to study object concentration in a finite metric space of any dimension. The method uses a formal definition of cluster and includes free parameters that search for clusters of given properties.Tests on synthetic and real data showed that the clustering technique successfully outlines causative bodies more accurately than other methods used to discriminate Euler solutions. In complex field cases, such as the magnetic field in the Gulf of Saint Malo region (Brittany, France), the method provides dense clusters, which more clearly outline possible causative sources. In particular, it allows one to trace offshore the main inland tectonic structures and to study their interrelationships in the Gulf of Saint Malo.The clusters provide solutions associated with particular bodies, or parts of bodies, allowing the analysis of different clusters of Euler solutions separately. This may allow computation of average parameters for individual causative bodies. Those measurements of the anomalous field that yield clusters also form dense clusters themselves. Application of this clustering technique thus outlines areas where the influence of different causative sources is more prominent. This allows one to focus on these areas for more detailed study, using different window sizes, structural indices, etc.

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Section: The Methods Of Euler Deconvolutionmentioning

confidence: 99%

Application of artificial intelligence for Euler solutions clustering

et al. 2003

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“…The derivatives of the total magnetic field can be determined using numerical procedures of Baranov (1975), Nabighian (1984) or with gradiometers (Slack et , 1967;Eggers and Thompson, 1984;Herwanger et al, 2000). Baranov (1975) presented coefficients for the numerical determination of vertical derivative of the potential fields.…”

Section: Prospecting Areamentioning

confidence: 99%

Application of magnetic field derivatives for locating Sarmatian graves

Kis

Puszta²

2006

Journal of Applied Geophysics

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“…Gradiometers, measuring the difference in magnetic intensity between two sensors, make full use of the inherent sensitivity of high-resolution magnetometers. Slack et al (1967) gave an account of the first rubidium-vapor gradiometer. Gradient measurements have the great advantage of being independent of time variations of the magnetic field, since these are identical at the two sensors.…”

Section: Instrumentationmentioning

confidence: 99%

Magnetic method

Reford¹

1980

GEOPHYSICS

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Developments which have led to an enormous increase in the use of magnetic surveys during the past 50 years are reviewed here. The prime factor was the development of the airborne magnetometer. Its application quickly showed the value of magnetic maps as aids in geologic mapping and in determining basement structure. Developments have included new types of magnetometers with greater sensitivity, and magnetic gradiometers, combined with the use of digital recording and processing routines. The worldwide coverage available is stimulating the preparation of magnetic maps on a continental scale for tectonic studies.

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The Geomagnetic Gradiometer

Cited by 61 publications

References 0 publications

Application of artificial intelligence for Euler solutions clustering

Application of artificial intelligence for Euler solutions clustering

Application of magnetic field derivatives for locating Sarmatian graves

Magnetic method

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