Aspects in Mining & Mineral Science Determination of Suitable Explosives for Dolomitic Marble and Granodiorite Using Blastability Characteristics Adebayo B1* Bolarinwa HT2 1Department Engineering, Federal University Technology, Akure, Nigeria 2Ministry Of Mines Steel Development, Ilorin, *Corresponding author:Adebayo B, Department Submission: February 01, 2023; Published: March 20, 2023 DOI: 10...

• The 4.2 km deep Pohang PX-1 well was subject to hydraulic stimulation. Sulphate concentration and δ 34 S increase during post-stimulation flowback. Excess SO 4 2− demonstrates mineral dissolution Isotopes modelling indicate anhydrite as probable sulphate source. A stimulation carried out on a granodiorite reservoir in an enhanced geothermal system August 2017 Pohang, Korea. Water injected int...

The Poplar copper-molybdenum porphyry deposit, 50 kilometres south-southwest of Houston, is centred near 54 degrees 01 minute north and 126 degrees 50 minutes west. The property is accessible from Houston via 80 kilometres of forest access roads along the Morice River, Owen Lake, Tahtsa Reach, and Poplar Lake. The deposit is situated on the northeast shore of Tagetochlain (Poplar) Lake in an ar...

Abstract The Xiong’ershan district in central China hosts broadly coeval porphyry Au (Qiyugou deposit), Mo (Leimengou and barren (Huashan pluton) systems. key controls on the ore potential different mineralization styles these systems are not well understood, with first-order differences fluid chemistry melt sources being main alternatives. inclusion characteristics of all three have been studi...

Machine learning methods that have been used in data-driven predictive modeling of mineral prospectivity (e.g., artificial neural networks) invariably require large number of training prospect/locations and are unable to handle missing values in certain evidential data. The Random Forests (RF) algorithm, which is a machine learning method, has recently been applied to data-driven predictive map...

Abstract The 1,500-km-long Banatitic Magmatic and Metallogenetic Belt (BMMB) of Romania, Serbia and Bulgaria is a complex calc-alkaline magmatic arc of Late Cretaceous age. It hosts a variety of magmatic-hydrothermal Cu, Au, Mo, Zn, Pb and Fe deposits, including Europe’s only world-class porphyry-copper deposits. Regional metallogeny can be linked to subduction of the Vardar Ocean during the La...