A least-squares minimization approach to interpret gravity data due to 2D horizontal thin sheet of finite width-Reference-Cited by-同舟云学术

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A least-squares minimization approach to interpret gravity data due to 2D horizontal thin sheet of finite width

Published:2016-06 Issue:8 Volume:9 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Abdelrahman E . M.,Gobashy M. M.,Essa K. S.,Abo-Ezz E. R.,El-Araby T. M.

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s12517-016-2537-0.pdf

Reference25 articles.

1. Abdelrahman EM, El-Araby TM (1993) A least-squares minimization approach to depth determination from moving average residual gravity anomalies. Geophysics 59:1779–1784

2. Abdelrahman EM, El-Araby TM (1996) Shape and depth solutions from moving average residual gravity anomalies. J Appl Geophys 36:89–95

3. Abdelrahman EM, El-Araby HM, El-Araby TM, Abo-Ezz ER (2001a) Three least-squares minimization approaches to depth, shape, and amplitude coefficient determination from gravity data. Geophysics 66:1105–1109

4. Abdelrahman EM, El-Araby TM, El-Araby HM, Abo-Ezz ER (2001b) A new method for shape and depth determinations from gravity data. Geophysics 66:1774–1778

5. Abdelrahman EM, Essa KS, Abo-Ezz ER, Soliman KS (2006) Self-potential data interpretation using standard deviation of depths computed from moving average residual anomaly. Geophys Prospect 54:1–16

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