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 …

[HTML][HTML] 地质统计学在含水层参数空间变异研究中的应用进展与发展趋势

薛佩佩, 文章, 梁杏 - 地质科技通报, 2022 - dzkjqb.cug.edu.cn
科学合理评价地下水资源, 对统筹规划, 合理开发利用区域地下水, 保障区域生态环境安全至关
重要. 获取含水层参数空间变异规律是解决地下水渗流, 污染物运移, 地下水开发利用等诸多 …

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 …

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 …

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 …

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 …