The multiscale edge detection filter applied to airborne electromagnetic data interpretation: A case study at the Rio das Velhas Greenstone Belt, Quadrilátero Ferrífero, Brazil
Potential-field edge detection filters are powerful fault detection tools in mineral exploration. The application of these filters to electromagnetic (EM) data is not as accepted as those associated with potential field data. But they may be advantageous when dealing with mineralizations associated...
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| Published in: | Journal of South American earth sciences Vol. 119; p. 103966 |
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| Format: | Journal Article |
| Language: | English |
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01-11-2022
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| Abstract | Potential-field edge detection filters are powerful fault detection tools in mineral exploration. The application of these filters to electromagnetic (EM) data is not as accepted as those associated with potential field data. But they may be advantageous when dealing with mineralizations associated with non-magnetic rocks. This paper introduces the multiscale edge detection filter to provide an enhanced image of fault zones when applied to apparent conductivity data. The Rio das Velhas Greenstone Belt, the studied area, hosts several gold mineralizations controlled by northwest–southeast shear zones subparallel to non-magnetic metasedimentary rocks that are typical candidates for the EM interpretation. Several northwest–southeast trending faults were highlighted in the studied area. We employed a data fusion interpretation strategy by correlating the detected EM faults with radiometric anomalies to classify high-priority spots for future exploration. We tagged four known gold deposits and new targets with similar characteristics following the proposed guidelines.
•We show that the multiscale filter (worming) can be used for electromagnetic (EM) data.•The EM worming screened non-magnetic mineralized fault zones in the Rio das Velhas Greenstone Belt.•Combining EM-worming and radiometric data, we selected sites for follow-up surveys. |
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| AbstractList | Potential-field edge detection filters are powerful fault detection tools in mineral exploration. The application of these filters to electromagnetic (EM) data is not as accepted as those associated with potential field data. But they may be advantageous when dealing with mineralizations associated with non-magnetic rocks. This paper introduces the multiscale edge detection filter to provide an enhanced image of fault zones when applied to apparent conductivity data. The Rio das Velhas Greenstone Belt, the studied area, hosts several gold mineralizations controlled by northwest–southeast shear zones subparallel to non-magnetic metasedimentary rocks that are typical candidates for the EM interpretation. Several northwest–southeast trending faults were highlighted in the studied area. We employed a data fusion interpretation strategy by correlating the detected EM faults with radiometric anomalies to classify high-priority spots for future exploration. We tagged four known gold deposits and new targets with similar characteristics following the proposed guidelines.
•We show that the multiscale filter (worming) can be used for electromagnetic (EM) data.•The EM worming screened non-magnetic mineralized fault zones in the Rio das Velhas Greenstone Belt.•Combining EM-worming and radiometric data, we selected sites for follow-up surveys. |
| ArticleNumber | 103966 |
| Author | Barbosa, Valeria C.F. Menezes, Paulo T.L. Pereira, Ronaldo M. Salomão, Marcelo |
| Author_xml | – sequence: 1 givenname: Paulo T.L. orcidid: 0000-0002-0440-5609 surname: Menezes fullname: Menezes, Paulo T.L. email: paulo.menezes@uerj.br organization: DGAP/FGEL/UERJ, Rua São Francisco Xavier 524, 2029a, Rio de Janeiro, Brazil – sequence: 2 givenname: Valeria C.F. surname: Barbosa fullname: Barbosa, Valeria C.F. email: valcris@on.br organization: MCT-Observatório Nacional, Rio de Janeiro, Brazil – sequence: 3 givenname: Ronaldo M. surname: Pereira fullname: Pereira, Ronaldo M. email: ronaldo.mellouerj@gmail.com organization: DGAP/FGEL/UERJ, Rua São Francisco Xavier 524, 2029a, Rio de Janeiro, Brazil – sequence: 4 givenname: Marcelo surname: Salomão fullname: Salomão, Marcelo email: salomao.mss@gmail.com organization: DGAP/FGEL/UERJ, Rua São Francisco Xavier 524, 2029a, Rio de Janeiro, Brazil |
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| Cites_doi | 10.1190/1.1527073 10.1071/EG00617 10.1046/j.1365-246x.1999.00788.x 10.1016/0926-9851(94)90022-1 10.1190/1.1651454 10.1111/j.1365-2478.2011.00976.x 10.1016/j.oregeorev.2020.103442 10.1016/j.oregeorev.2004.12.008 10.1109/TPAMI.1986.4767851 10.1046/j.1365-2478.2001.00235.x 10.1190/1.1439727 10.1016/j.oregeorev.2005.01.004 10.1016/j.jappgeo.2019.03.011 10.1016/j.jappgeo.2016.07.006 10.1190/1.1443174 10.1016/S0926-9851(04)00056-4 10.3390/min10110983 10.1016/j.jngse.2021.104077 10.1007/s001260100180 10.1190/INT-2014-0007.1 10.1016/j.cageo.2006.02.016 10.1016/j.oregeorev.2005.03.021 10.1190/1.1440817 10.1190/1.2710352 10.1016/j.cageo.2006.12.002 10.1190/geo2013-0218.1 10.1190/INT-2018-0178.1 10.1190/1.2357831 |
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| Keywords | Electromagnetic data Mineral exploration Greenstone belts Non-magnetic shear zones mapping |
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| SubjectTerms | Electromagnetic data Greenstone belts Mineral exploration Non-magnetic shear zones mapping |
| Title | The multiscale edge detection filter applied to airborne electromagnetic data interpretation: A case study at the Rio das Velhas Greenstone Belt, Quadrilátero Ferrífero, Brazil |
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