2018
DOI: 10.1007/s00024-018-2019-2
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Reassessment of Copper Mineral Occurrence Through Electrical Tomography and Pseudo 3D Modeling in Camaquã Sedimentary Basin, Southern Brazil

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Cited by 23 publications
(14 citation statements)
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“…The step of acquiring data comprised a geophysical survey by land through the methods of DC Resistivity and Induced Polarization in the time domain. These have great applicability in mineral exploration of massive and/or disseminated sulfide bodies, and are independent methods, but present results of greater efficiency and safety when interpreted in conjunction (Cortês et al, 2019;Moreira et al, 2019a;Moreira et al, 2019b;Lenhare & Moreira, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…The step of acquiring data comprised a geophysical survey by land through the methods of DC Resistivity and Induced Polarization in the time domain. These have great applicability in mineral exploration of massive and/or disseminated sulfide bodies, and are independent methods, but present results of greater efficiency and safety when interpreted in conjunction (Cortês et al, 2019;Moreira et al, 2019a;Moreira et al, 2019b;Lenhare & Moreira, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…After 2D inversion, preparation of 3D model of IP and ER was performed through 3D inversion, but our surveyed data did not require characterizations for 3D inversion according to Gharibi and Bently (2005), Aizebeokhai et al (2011) and Moreira et al (2018). 3D model of IP and ER was constructed using geostatistical methods.…”
Section: D Modellingmentioning
confidence: 99%
“…), copper mineral exploration using 3D model of IP and resistivity in Brazil (Morriera et al . ), investigation of a rock glacier by 3D tomography of IP and ER in France (Duvillard et al . ) and urban area investigation by 3D IP and ER in Stockholm (Pazzi et al .…”
Section: Introductionmentioning
confidence: 99%
“…Borehole resistivity and chargeability tomography (BHDCIP) can give valuable help to mineral exploration applications, especially with ore-deposits that have thick overburden cover and complex geology. In-hole datasets can supply information on the DCIP signatures of key lithologies and mineralization, hence enabling improved an understanding of which geophysical signature reflects geologic features of interest [8][9][10][11][12]. Off-hole datasets provide information on the spatial extent and the orientation of in-hole features, in addition to identifying off-hole targets.…”
Section: Introductionmentioning
confidence: 99%