Integration of ASTER and airborne geophysical data for mineral exploration and environmental mapping: a case study, Gabal Dara, North Eastern Desert, Egypt

2016 ◽  
Vol 75 (7) ◽  
Author(s):  
Kh. Gemail ◽  
N. M. Abd-El Rahman ◽  
B. M. Ghiath ◽  
R. N. Aziz
Keyword(s):  
Mineral Exploration ◽  
Eastern Desert ◽  
Geophysical Data ◽  
Environmental Mapping ◽  
North Eastern ◽  
Airborne Geophysical Data

scholarly journals Large-Scale 3D Modeling and Inversion of Multiphysics Airborne Geophysical Data: A Case Study from the Arabian Shield, Saudi Arabia

Minerals ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 271 ◽  
Author(s):  
Michael Zhdanov ◽  
Fouzan Alfouzan ◽  
Leif Cox ◽  
Abdulrahman Alotaibi ◽  
Mazen Alyousif ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
3D Modeling ◽  
Large Scale ◽  
Geophysical Data ◽  
Arabian Shield ◽  
Airborne Geophysical Data ◽  
And Inversion

scholarly journals Application of airborne geophysical data to mineral exploration in the uneven exposed terrains of the Rio das Velhas greenstone belt

2003 ◽  
Vol 33 (2) ◽  
pp. 17-28 ◽  
Author(s):  
ADALENE MOREIRA SILVA ◽  
AUGUSTO CÉSAR B. PIRES ◽  
ANNE MCCAFFERTY ◽  
ROBERTO ALEXANDRE VITÓRIA DE MORAES ◽  
HENGREN XIA
Keyword(s):  
Greenstone Belt ◽  
Mineral Exploration ◽  
Geophysical Data ◽  
Airborne Geophysical Data

scholarly journals Application of concentration-volume fractal method in induced polarization and resistivity data interpretation for Cu-Mo porphyry deposits exploration, case study: Nowchun Cu-Mo deposit, SE Iran

2012 ◽  
Vol 19 (4) ◽  
pp. 431-438 ◽  
Author(s):  
L. Daneshvar Saein ◽  
I. Rasa ◽  
N. Rashidnejad Omran ◽  
P. Moarefvand ◽  
P. Afzal
Keyword(s):  
Mineral Exploration ◽  
Data Interpretation ◽  
Fractal Model ◽  
Induced Polarization ◽  
Geophysical Data ◽  
Fractal Method ◽  
Porphyry Deposit ◽  
Porphyry Deposits ◽  
Resistivity Data

Abstract. The aim of this study is the utilization of the concentration-volume (C-V) fractal method based on geoelectrical data including induced polarization (IP) and resistivity (RS) in targeting areas hosting different sulfidic mineralization zones in Nowchun Cu-Mo porphyry deposit, SE Iran. The C-V fractal model employed in this research in order to separate high and moderate sulfidic zones from low sulfidic zone and barren wall rocks in the deposit is corresponding to chargeability and resistivity. Results obtained from the C-V method indicate that there is a positive correlation between subsurface mineralization and sulfide mineralized zones; additionally, use of the C-V method based on geophysical data is recognized as an accurate approach for delineation of various mineralization zones in the depth for optimization of mineral exploration operation, particularly in porphyry deposits.

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