Interpretation of electromagnetic multifrequency natural field data from Red Setter prospect (Paterson area, Western Australia)
Description
In mineral exploration, especially where geological mapping is hindered by extensive cover, advanced geophysical techniques are essential. This study explores the application of the airborne natural `passive' electromagnetic field method in the remote Paterson area of Western Australia. The focus is on a region with significant mineral potential but limited by overburden and sparse outcrops. The case study involves a MobileMT survey for Wishbone Gold PLC, targeting potential hidden mineralization near the known Telfer gold-copper deposit. The methodology includes acquiring and interpreting broadband, high-resolution natural field AEM data to delineate subsurface geological structures and potential mineralization zones. The Red Setter survey area, situated in the Isdell Formation rocks of the Paterson Orogen, shows structural features similar to the Telfer deposit, providing a valuable reference for data interpretation. The study successfully mapped a prominent resistive dome-like structure, well correlated with a gravity anomaly and identified as a key target for further exploration. The structural similarities between the Red Setter and Telfer areas support the hypothesis of similar mineralization processes. By integrating AEM data with geological models and existing exploration data, the study highlights the importance of structural controls on mineralization. The delineated lineaments derived from the electromagnetic data and geological structures will guide future drilling and exploration efforts. This case study demonstrates that the airborne broadband natural field electromagnetic method is an effective tool for mineral exploration in covered regions, offering detailed insights into subsurface geology and potential mineralization zones. The success in the Paterson area suggests this approach can be applied to other geologically complex regions with limited outcrop exposure.
Files
ASEG_2024_ID078.pdf
Files
(2.3 MB)
Name | Size | Download all |
---|---|---|
md5:4a03f542bdccf51aebfb6dbd146e1280
|
2.3 MB | Preview Download |