Several large-scale porphyry copper deposits (PCDs) with high economic value have been excavated in the Duolong ore district, Tibet, China. However, altitudes and harsh conditions this area make traditional exploration difficult. Hydrothermal alteration minerals related to PCDs diagnostic spectral absorption features visible–near-infrared–shortwave-infrared ranges can be effectively identified ...

Pucheng district is a part of the Wuyi Mountain polymetallic metallogenic belt, which constituted by Archean-Proterozoic metamorphic basements and Mesozoic volcanic-sedimentary covers. Uranium deposits are formed as volcanic-hosted structural controls. In this study, hybrid data-driven methods logistic regression (LR) weights evidence (WofE) were applied for mineral potential mapping uranium in...

Known mineralized locations and randomly chosen non-mineralized are used traditionally as training samples in data-driven mineral prospectivity mapping (MPM). In this paper, we took advantage of (a) the variable importance partial dependence plot, which enable interpretation random forest (RF) modeling, (b) synthetic minority over-sampling technique, investigated efficacy outlier-based for MPM ...

The mapping of hydrothermal alteration zones associated with mineralization is paramount importance in searching for metal deposits. For this purpose, targeting by analyzing airborne geophysical and satellite imagery provides accurate reliable results. In the Kelâat M’Gouna inlier, located Saghro Massif Moroccan Anti Atlas, natural gamma-ray spectrometry ASTER data were used to map zones. Natur...

Three-dimensional (3D) geological models are typical data sources in 3D mineral prospectivity modeling. However, identifying prospectivity-informative predictor variables from is a challenging and work-intensive task. Motivated by the ability of convolutional neural networks (CNNs) to learn intrinsic features, this paper, we present novel method that leverages CNNs models. By exploiting learnin...

8:45am Welcome and Introduction Innovations in Deep Exploration 9:00 Richard Hillis (DETCRC) The Deep Exploration Technologies CRC 9:30 Steven Hill (The University of Adelaide) Some deep thinking about deep regolith 9:50 Andreas Schmidt-Mumm (The University of Adelaide) Tracing ore systems using mineral chemistry 10:10 Graham Heinson (The University of Adelaide) Joint inversion of seismic and M...