Geostatistics in the presence of geological boundaries: Application to mineral resources modeling

X Emery, M Maleki - Ore Geology Reviews, 2019 - Elsevier
This paper addresses the problem of simulating the copper grade and rock type in a Chilean
porphyry copper deposit recognized by a set of exploration drill holes. The application of …

Forecasting copper prices using hybrid adaptive neuro-fuzzy inference system and genetic algorithms

Z Alameer, MA Elaziz, AA Ewees, H Ye… - Natural Resources …, 2019 - Springer
An accurate forecasting model for the price volatility of minerals plays a vital role in future
investments and decisions for mining projects and related companies. In this paper, a hybrid …

Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation

A Paithankar, S Chatterjee, R Goodfellow, MWA Asad - Resources Policy, 2020 - Elsevier
An open pit mining operation is a complex system that constitutes several components or
processes. An optimal production sequence that defines timing of extraction and a dynamic …

A new ore grade estimation using combine machine learning algorithms

UE Kaplan, E Topal - Minerals, 2020 - mdpi.com
Accurate prediction of mineral grades is a fundamental step in mineral exploration and
resource estimation, which plays a significant role in the economic evaluation of mining …

Uncertainty Quantification in Mineral Resource Estimation

OT Lindi, AE Aladejare, TM Ozoji, JP Ranta - Natural Resources Research, 2024 - Springer
Mineral resources are estimated to establish potential orebody with acceptable quality
(grade) and quantity (tonnage) to validate investment. Estimating mineral resources is …

Assessment of geochemical anomaly uncertainty through geostatistical simulation and singularity analysis

Y Liu, Q Cheng, EJM Carranza, K Zhou - Natural Resources Research, 2019 - Springer
Geochemical anomalies are commonly separated into different geochemical anomaly levels
based on one or more thresholds. However, this practice may cause some important …

Application of artificial neural network for the prediction of copper ore grade

NB Tsae, T Adachi, Y Kawamura - Minerals, 2023 - mdpi.com
Precise prediction of ore grade is essential in feasibility studies, mine planning, open-pit and
underground optimization, and ore grade control. Conventional methods, such as geometric …

Mineral grade estimation using gradient boosting regression trees

UE Kaplan, Y Dagasan, E Topal - International Journal of Mining …, 2021 - Taylor & Francis
Resources estimation is one of the critical tasks to evaluate the economic feasibility of a
mineral deposit. Traditional prediction workflows, which often involve kriging and inverse …

Comparative analysis of the structural pattern over the Indian Ocean basins using EIGEN6C4 Bouguer gravity data

MS Ekka, SD Sahoo, SK Pal, PN Singha Roy… - Geocarto …, 2022 - Taylor & Francis
Abstract The Indian Ocean witnessed numerous seismic and tectonic activities, making the
region an intricate seismotectonic and seismo-genesis potential zone. The high-resolution …

Integrating sequential indicator simulation and singularity analysis to analyze uncertainty of geochemical anomaly for exploration targeting of tungsten polymetallic …

Y Liu, Q **a, EJM Carranza - Journal of Geochemical Exploration, 2019 - Elsevier
Abstract The Nanling belt (South China) is one of the most important metallogenic region in
the world in regard to tungsten polymetallic resources. In this belt and surrounding area, the …