scholarly journals An Iterative Approach to Depth Determination from Second Moving Average Residual Magnetic Anomalies

2004 ◽  
Vol 15 (1) ◽  
pp. 181-196 ◽  
Author(s):  
E. ABDURRAHMAN ◽  
T. EL-ARABY ◽  
K. ESSA
Keyword(s):  
Moving Average ◽  
Magnetic Anomalies ◽  
Iterative Approach ◽  
Depth Determination ◽  
Average Residual

Depth and shape solutions from second moving average residual magnetic anomalies

2016 ◽  
Vol 47 (1) ◽  
pp. 58-66 ◽  
Author(s):  
El-Sayed M. Abdelrahman ◽  
Khalid S. Essa ◽  
Tarek M. El-Araby ◽  
Eid R. Abo-Ezz
Keyword(s):  
Moving Average ◽  
Magnetic Anomalies ◽  
Average Residual

A New Algorithm for Depth Determination from Total Magnetic Anomalies due to Spheres

2008 ◽  
Vol 165 (5) ◽  
pp. 967-979 ◽  
Author(s):  
E. M. Abdelrahman ◽  
T. M. El-Araby ◽  
E. R. Abo-Ezz ◽  
K. S. Soliman ◽  
K. S. Essa
Keyword(s):  
Magnetic Anomalies ◽  
Depth Determination

A least‐squares minimization approach to depth determination from moving average residual gravity anomalies

Geophysics ◽  
1993 ◽  
Vol 58 (12) ◽  
pp. 1779-1784 ◽  
Author(s):  
El‐Sayed M. Abdelrahman ◽  
Tarek M. El‐Araby
Keyword(s):  
Least Squares ◽  
Gravity Data ◽  
Moving Average ◽  
Gravity Anomalies ◽  
The United States ◽  
Random Errors ◽  
Minimization Method ◽  
Residual Gravity ◽  
Average Residual ◽  
Least Squares Minimization

We have developed a least‐squares minimization method to estimate the depth of a buried structure from moving average residual gravity anomalies. The method involves fitting simple models convolved with the same moving average filter as applied to the observed gravity data. As a result, our method can be applied not only to residuals but also to the Bouguer gravity data of a short profile length. The method is applied to synthetic data with and without random errors. The validity of the method is tested in detail on two field examples from the United States and Senegal.

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