Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Mahmoud Elhussein"'
Autor:
Mahmoud Elhussein, Zein E. Diab
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract This study introduces a rapid and efficient inversion algorithm designed for the interpretation of self-potential responses originating from mineralized and ore sources and hydrothermal activity, specifically addressing spherical, vertical,
Externí odkaz:
https://doaj.org/article/72e0192951924eefaf6778af4a736051
Autor:
Mahmoud Elhussein
Publikováno v:
Earth and Space Science, Vol 8, Iss 2, Pp n/a-n/a (2021)
Abstract A new inversion algorithm of gravity data utilizing the particle swarm optimization (PSO) algorithm is used to interpret dipping faults models. The PSO technique is stochastic in nature; its development was motivated by the common in‐fligh
Externí odkaz:
https://doaj.org/article/faf3c759e6c24e9e867006b07a1fd8df
Autor:
Mahmoud Elhussein, Zein E. Diab
Publikováno v:
Natural Resources Research. 32:171-193
A fast effective inversion algorithm is proposed herein to interpret gravitational responses caused by mineralized/ore sources (sphere, vertical and horizontal cylinders). The algorithm relies on local wavenumber and correlation imaging techniques. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bb2dbe13392221971cfbde55704c37e
https://doi.org/10.1007/s11053-022-10137-5
https://doi.org/10.1007/s11053-022-10137-5
Autor:
Mahmoud Elhussein, Neil Anderson
Publikováno v:
Journal of Applied Geophysics (Cairo). 21:28-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4902445004f2c92583191de9c26b79c5
https://doi.org/10.21608/jag.2022.284564
https://doi.org/10.21608/jag.2022.284564
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Pure and Applied Geophysics. 178:973-993
We have developed a new method for the interpretation of a magnetic anomaly profile by idealized-geometrical bodies using the variance analysis. This method is based on estimating the fourth horizontal derivative of the magnetic data profile. The adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b101859f4cab4d75fccd9781f57964c
https://doi.org/10.1007/s00024-020-02553-6
https://doi.org/10.1007/s00024-020-02553-6
Autor:
Mahmoud Elhussein
Publikováno v:
Natural Resources Research. 30:97-127
A new efficient technique has been developed to interpret self-potential data from different mineralized sources (horizontal cylinder, vertical cylinder, sphere, and 2-D inclined sheet). This technique is based on the first horizontal gradient filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::205e092a046f4d805f0b40d2f4b60777
https://doi.org/10.1007/s11053-020-09708-1
https://doi.org/10.1007/s11053-020-09708-1
Autor:
Mahmoud Elhussein, Mohamed Shokry
Publikováno v:
Bulletin of Engineering Geology and the Environment. 79:4483-4499
In this study, different interpretation techniques have been applied to the airborne magnetic data to detect the subsurface basaltic edges in Qaret Had El Bahr area, Northeastern Bahariya Oasis, Egypt. These techniques are as follows: the power spect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56cc03d5239db6900af640c388bf903b
https://doi.org/10.1007/s10064-020-01831-w
https://doi.org/10.1007/s10064-020-01831-w
Publikováno v:
Journal of Environmental and Engineering Geophysics. 25:15-23
We have developed an algorithm to obtain the model parameters for two co-axial structures from self-potential data. The method uses the first numerical horizontal derivatives calculated from the observed self-potential anomaly employing filters of se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7881fc970cf6d6cb5f0e852699f9773b
https://doi.org/10.2113/jeeg19-017
https://doi.org/10.2113/jeeg19-017