The Qulong porphyry copper deposit in Tibet is located the Tethis–Himalaya metallogenic domain, one of three major domains world. At present, mining area mainly used for surface mining. depth revealed by drilling project less than 2 km. potential deep resources unknown. Based on an analysis geochemical characteristics primary halos around No. 16 prospecting line, extension discussed this paper....

The magmatic-hydrothermal evolution of porphyry-style mineralization in the shallow crust that is linked to magmatic processes at depth has been extensively studied using bulksample isotopic analysis combined with relative timing constraints. However, a lack of evaluation of the fluid evolution process against an absolute time frame limits further understanding of the ore-forming process. Here,...

In order to improve our understanding of the mineral potential of northern Vancouver Island beyond the wellknown intrusion-related Cu-Au-Ag(-Mo) porphyry deposits (e.g., Hushamu, MINFILE 092L 240 and the former Island Copper mine, MINFILE 092L 158) and base and precious-metal skarns (e.g., Merry Widow, MINFILE 092L 044), we need a better understanding of the stratigraphy of the Bonanza island a...

The Huoluotai Cu (Mo) deposit is a recently discovered porphyry in the northern Great Xing’an Range, NE China. Fluid inclusion (FI) micro-thermometry results and C–H–O–S–Pb isotope compositions of are presented this study. ore-forming process consists sulfide-barren quartz stage (I), + chalcopyrite ± pyrite molybdenite (II), polymetallic sulfide (III), calcite fluorite (IV). mineralization occu...

Quartz is one of the most abundant minerals. Used in a variety materials, it preserves geological history and reflects alteration conditions. Data were collected (>2400 data points) from more than 40 ore deposits to understand its internal texture geochemistry. Cathodoluminescence imaging technique for examining quartz that may reveal information about crystal’s origin evolution. The dominan...

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of wavelet neural network (WNN) technique in ore grade estimation, which is based on integration between wavelet theory and Artificial Neural Network (ANN). Different wavelets are applied as activation functions to estimate Cu grade of borehole data in the hypogene zone of porphyry ore deposi...