Ahmed Salem - Academia.edu (original) (raw)

Ahmed Salem

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Papers by Ahmed Salem

Research paper thumbnail of An enhanced method for source parameter imaging of magnetic data collected for mineral exploration

Geophysical Prospecting, 2005

Research paper thumbnail of Depth and structural index from normalized local wavenumber of 2D magnetic anomalies

Geophysical Prospecting, 2005

ABSTRACTRecent improvements in the local wavenumber approach have made it possible to estimate bo... more ABSTRACTRecent improvements in the local wavenumber approach have made it possible to estimate both the depth and model type of buried bodies from magnetic data. However, these improvements require calculation of third‐order derivatives of the magnetic field, which greatly enhances noise. As a result, the improvements are restricted to data of high quality. We present an alternative method to estimate both the depth and model type using the first‐order local wavenumber approach without the need for third‐order derivatives of the field. Our method is based on normalization of the first‐order local wavenumber anomalies and provides a generalized equation to estimate the depth of some 2D magnetic sources regardless of the source structure. Information about the nature of the sources is obtained after the source location has been estimated. The method was tested using synthetic magnetic anomaly data with random noise and using three field examples.

Research paper thumbnail of An enhanced method for source parameter imaging of magnetic data collected for mineral exploration

Geophysical Prospecting, 2005

Research paper thumbnail of Depth and structural index from normalized local wavenumber of 2D magnetic anomalies

Geophysical Prospecting, 2005

ABSTRACTRecent improvements in the local wavenumber approach have made it possible to estimate bo... more ABSTRACTRecent improvements in the local wavenumber approach have made it possible to estimate both the depth and model type of buried bodies from magnetic data. However, these improvements require calculation of third‐order derivatives of the magnetic field, which greatly enhances noise. As a result, the improvements are restricted to data of high quality. We present an alternative method to estimate both the depth and model type using the first‐order local wavenumber approach without the need for third‐order derivatives of the field. Our method is based on normalization of the first‐order local wavenumber anomalies and provides a generalized equation to estimate the depth of some 2D magnetic sources regardless of the source structure. Information about the nature of the sources is obtained after the source location has been estimated. The method was tested using synthetic magnetic anomaly data with random noise and using three field examples.

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