Combination of machine learning algorithms with concentration-area fractal method for soil geochemical anomaly detection in sediment-hosted Irankuh Pb-Zn deposit …

S Farhadi, P Afzal, M Boveiri Konari… - Minerals, 2022 - mdpi.com
Prediction of geochemical concentration values is essential in mineral exploration as it plays
a principal role in the economic section. In this paper, four regression machine learning (ML) …

Geochemical anomaly detection in the Irankuh District using Hybrid Machine learning technique and fractal modeling

P Afzal, S Farhadi, M Boveiri Konari… - Geopersia, 2022 - geopersia.ut.ac.ir
Prediction of elemental concentrations is essential in mineral exploration as it plays a vital
role in detailed exploration. New machine learning (ML) methods such as hybrid models are …

Critical importance of pH and collector type on the flotation of sphalerite and galena from a low-grade lead–zinc ore

A Foroutan, M Abbas Zadeh Haji Abadi, Y Kianinia… - Scientific reports, 2021 - nature.com
Collector type and pulp pH play an important role in the lead–zinc ore flotation process. In
the current study, the effect of pulp pH and the collector type parameters on the galena and …

Geology, geochemistry, fluid inclusion microthermometry and depositional environment of the Early Cretaceous Meymeh sub-seafloor replacement sideritic-ankeritic …

R Foroutan-Nia, S Maghfouri, E Rastad - Ore and Energy Resource …, 2023 - Elsevier
Meymeh sideritic-ankeritic iron deposit in the eastern part of Malayer-Esfahan Metallogenic
Belt (MEMB) is formed in the sedimentary-volcanic rocks of the Early Cretaceous sequence …

Solid bitumen reflectance and authigenic clay mineralogy in relation to the Irankuh ore deposition: An innovative approach to basin analysis

Z Hosseini, R Swennen, A Mahboubi… - Journal of African Earth …, 2022 - Elsevier
This research investigates the relationship of petroleum generation and authigenic clay
development in function of the paleo geodynamic setting and ore genesis of the Irankuh Zn …