Volume 15 (2024)
Volume 14 (2023)
Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Exploration
Mineral prospectivity modeling over the Julie Tenement of Northwestern (NW) Ghana using geophysical datasets

Eric Dominic Forson; Prince Ofori Amponsah

Articles in Press, Accepted Manuscript, Available Online from 03 January 2024

https://doi.org/10.22044/jme.2024.13636.2519

Abstract
  This study was set out to delineate prospective zones of gold mineralization occurrence over the Julie tenement of Northwestern Ghana using two spatial statistical techniques, namely information value (IV) and weight of evidence (WofE) models. First, 110 locations, where gold (Au) mineralization has ...  Read More

Exploration
Analysis of Land Subsidence in Joshimath Township using GIS and Remote Sensing

Kaustubh Sinha; Priyangi Sharma; Anurag Sharma; Kanwarpreet Singh; Murtaza Hassan

Articles in Press, Accepted Manuscript, Available Online from 27 January 2024

https://doi.org/10.22044/jme.2024.13776.2556

Abstract
  In this expansive study, a thorough analysis of land subsidence in the Joshimath area has been conducted, exercising remote sensing (RS) and Geographic Information System (Civilians) tools. The exploration encompasses colourful pivotal parameters, including Annual Rainfall, Geology, Geomorphology, and ...  Read More

Exploration
Prediction of Iron Ore Grade using Artificial Neural Network, Computational Method, and Geostatistical Technique at El-Gezera Area, Western Desert, Egypt

Abdelrahem Khalefa Embaby; Ashraf Ismael; Faissal Ali; Hussin Farag; Bahaa Mousa; Sayed Gomaa; Mohamed Elwageeh

Articles in Press, Accepted Manuscript, Available Online from 21 January 2024

https://doi.org/10.22044/jme.2024.13879.2581

Abstract
  The mineral resource estimation process necessitates a precise prediction of the grade based on limited drilling data. Grade is crucial factor in the selection of various mining projects for investment and development. When stationary requirements are not met, geo-statistical approaches for reserve estimation ...  Read More

Exploration
Enhanced Geotechnical Methods for Evaluating Slope Stability in Unconsolidated Strata: A Comprehensive Analysis

Naeem Abbas; Irshad Khan; Afayou Afayou; Asghar Khan; numan alam

Articles in Press, Accepted Manuscript, Available Online from 23 January 2024

https://doi.org/10.22044/jme.2024.14023.2615

Abstract
  The study utilizes the Limit Equilibrium Method (LEM) to investigate slope movements. These movements were initially generated by construction activities at the slope's base, and subsequent events were driven by seismic activities, as the study studied area lies within the Main Karakoram Thrust (MKT) ...  Read More

Exploration
Copper ore grade prediction using Machine Learning techniques in a copper deposit

Jairo Jhonatan Marquina Araujo; Marco Antonio Cotrina Teatino; José Nestor Mamani Quispe; Eduardo Manuel Noriega Vidal; Juan Antonio Vega Gonzalez

Articles in Press, Accepted Manuscript, Available Online from 27 January 2024

https://doi.org/10.22044/jme.2024.14032.2617

Abstract
  The objective of this research work to employ machine learning techniques including Multilayer Perceptron Artificial Neural Networks (ANN-MLP), Random Forests (RFs), Extreme Gradient Boosting (XGBoost), and Support Vector Regression (SVR) to predict copper ore grades in a copper deposit located in Peru. ...  Read More

Exploration
Combination of geochemical and structural data to determine the exploration target of copper hydrothermal deposits in the Feizabad district

Mobin Saremi; Saeed Yousefi; Mahyar Yousefi

Articles in Press, Accepted Manuscript, Available Online from 23 January 2024

https://doi.org/10.22044/jme.2024.13698.2562

Abstract
  The Mineral Prospectivity Mapping (MPM) is a procedure of integrating various exploration data to identify promising areas for follow up mineral exploration programs. MPM facilitates identification of mineral deposit prospects through reducing search spaces for the purpose of mitigating cost and time ...  Read More

Exploration
Mineral Prospectivity modeling with airborne geophysics and geochemistry data, A case study of Shahr-e-Babak study area, southeastern Iran

Moslem Jahantigh; Hamid Reza Ramazi

Articles in Press, Accepted Manuscript, Available Online from 22 February 2024

https://doi.org/10.22044/jme.2024.13857.2575

Abstract
  The present paper gives out data-driven method with airborne magnetic data, airborne radiometric data, and geochemistry data. The purpose of this study is to create a mineral potential model of the Shahr-e-Babak studied area. The studied area is located in the south-eastern of Iran. The various evidential ...  Read More

Exploration
Ground Water Quality Analysis using Machine Learning Techniques: a Critical Appraisal

Naman Chandel; Sushindra Kumar Gupta; Anand Kumar Ravi

Volume 15, Issue 2 , April 2024, , Pages 419-426

https://doi.org/10.22044/jme.2023.13452.2484

Abstract
  Groundwater is an essential resource for human survival, but its quality is often degraded by the human activities such as improper disposal of waste. Leachate generated from landfill sites can contaminate groundwater, causing severe environmental and health problems. Machine learning techniques can ...  Read More

Exploration
Outlining of High-quality Parts of Coal by Concentration–Volume Fractal Model in North Kochakali Coal Deposit, Central Iran

Mojtaba Bazargani Golshan; Mehran Arian; Peyman Afzal; Lili Daneshvar Saein; Mohsen Aleali

Volume 15, Issue 2 , April 2024, , Pages 557-579

https://doi.org/10.22044/jme.2023.13446.2482

Abstract
  The aim is to use the Concentration-Volume (C-V) fractal model to identify high-quality parts of coal seams based on sulfur and ash concentrations. In the K1 and K7 coal seams in the North Kochakali coal deposit, 5 and 6 different populations of ash and sulfur content were obtained based on the results. ...  Read More

Exploration
Delineation of Gold Exploration Targets based on Prospectivity Models through an Optimization Algorithm

Kamran Mostafaei; Mohammad Nabi Kianpour; Mahyar Yousefi

Volume 15, Issue 2 , April 2024, , Pages 597-611

https://doi.org/10.22044/jme.2023.13472.2489

Abstract
  Mineral prospectivity mapping (MPM) is a multi-staged process aiming at delimiting exploration targets. Experts’ knowledge is an indispensable component of MPM, and might be required (i) while translating signature features of ore-forming processes into a suite of maps, namely evidence layers, ...  Read More

Exploration
Mapping Lithological Units of an Evaporite Formation using ASTER data: a Case Study from Zagros Fold Belt, SW Iran

Khadijeh Validabadi Bozcheloei; Majid Hashemi Tangestani

Volume 15, Issue 2 , April 2024, , Pages 637-648

https://doi.org/10.22044/jme.2023.13629.2518

Abstract
  Evaporites are sediments that chemically precipitate due to the evaporation of an aqueous solution. Most evaporite formations, in addition to evaporite minerals, include detrital rocks such as mudstone, marl, and siltstone. Principal Component Analysis (PCA), Directed Principal Component Analysis (DPCA), ...  Read More

Exploration
Classification of ASTER Data by Neural Network to Mapping Alterations Related to Copper and Iron Mineralization in Birjand

Jabar Habashi; Majid Mohammady Oskouei; Hadi Jamshid Moghadam

Volume 15, Issue 2 , April 2024, , Pages 649-665

https://doi.org/10.22044/jme.2023.13640.2520

Abstract
  The studied area located in eastern Iran shows a high potential for various mineralizations, especially copper due to its tectonic activity. Remote sensing data can effectively distinguish these areas because of the sparse vegetation. Therefore, in this study, the ASTER (Advanced Spaceborne Thermal Emission ...  Read More

Exploration
Satellite Image Processing: Application for Alteration Separation based on U-Statistic Method in Zafarghand Porphyry System (Iran)

Seyyed Saeed Ghannadpour; Morteza Hasiri; Hadi Jalili; Somayeh Talebiesfandarani

Volume 15, Issue 2 , April 2024, , Pages 667-681

https://doi.org/10.22044/jme.2023.13652.2525

Abstract
  The Zafarghand area (as a porphyry Cu deposit) is located in the northeast of Isfahan and southeast of Ardestan, which is a part of the Iran-Central structural zone, and more precisely, it is located in the Urmia-Dokhtar volcanic belt. In the porphyry Cu deposits exploration, identifying and determining ...  Read More

Exploration
A Comparative Analysis of Artificial Neural Network (ANN) and Gene Expression Programming (GEP) Data-driven Models for Prospecting Porphyry Cu Mineralization; Case Study of Shahr-e-Babak Area, Kerman Province, SE Iran

Bashir Shokouh Saljoughi; Ardeshir Hezarkhani

Volume 15, Issue 2 , April 2024, , Pages 761-790

https://doi.org/10.22044/jme.2023.13852.2573

Abstract
  The porphyry Cu-mineralization potential area studied in this article is located in the southern section of the Central Iranian volcano–sedimentary complex, contains large number of mineral deposits, and occurrences that are currently facing a shortage of resources. Therefore, prospecting potential ...  Read More

Exploration
A Promising Automatic System for studying of Coal Mine Surfaces using Sentinel-2 Data to Assess a Classification on a Pixel-based Pattern

Ajay Kumar

Volume 15, Issue 1 , January 2024, , Pages 41-54

https://doi.org/10.22044/jme.2023.13064.2380

Abstract
  Land use (LU) classification based on remote sensing images is a challenging task that can be effectively addressed using a learning framework. However, accurately classifying pixels according to their land use poses a significant difficulty. Despite advancements in feature extraction techniques, the ...  Read More

Exploration
Geological Mapping and Facies Characterization of Miocene Evaporites along Central-eastern Margin of Gulf of Suez Rift by Remote Sensing Techniques

Eman M. Kamel; Mohamed S.H. Hammed; Osama E.A. Attia

Volume 15, Issue 1 , January 2024, , Pages 151-173

https://doi.org/10.22044/jme.2023.13560.2505

Abstract
  In the recent years, the use of ASTER and Landsat data have become prevalent for mapping different types of rock formations. Specifically, this study utilizes ASTER (L1B) and Landsat 8 (AOL) images to map outcrops of various gypsum facies in Ras Malaab area of west-central Sinai. These gypsum facies ...  Read More

Exploration
Predicting Gabal Gattar Uranium Content as a Function of Total Gamma-ray and Thorium Contents using an Artificial Neural Network in Northeastern Desert, Egypt

Abdelrahem Khalefa Embaby; Sayed Gomaa; Yehia Darwish; Samir Selim

Volume 15, Issue 1 , January 2024, , Pages 175-189

https://doi.org/10.22044/jme.2023.13651.2524

Abstract
  This study aims to develop an empirical correlation model for estimating the uranium content of the G-V in the Gabal Gattar area, northeastern desert of Egypt, as a function of the thorium content and the total gamma rays. Using the recent MATLAB software, the effect of selecting tan-sigmoid as a transfer ...  Read More

Exploration
Implementation of Space-Borne Optical Data and Field Investigation for Geo-structural Mapping of an Interior Rift Basin: A Case Study from Kharit Area, Southeastern Desert, Egypt1037

Ahmed Abdelhalim; Islam Abuelella; Shawky M Sakran; Said Mohamed Said

Volume 14, Issue 4 , October 2023, , Pages 1037-1059

https://doi.org/10.22044/jme.2023.12739.2327

Abstract
  Kharit basin is an interior Cretaceous rift basin hosted in a Precambrian basement complex of the Arabian-Nubian shield. Satellite images and potential geophysical data previously outlined the basin without a detailed field study. Kharit area is a remote and hyper-arid area; therefore, the application ...  Read More

Exploration
A Predictive GIS Model for Mapping Gold and Copper-bearing Alteration zones at South Gabal Um Monqul and Gabal Al Kharaza Prospects, North Eastern Desert, Egypt

Abdallah Atef; Ahmed A. Madani; Adel A. Surour; Mokhles K. Azer

Volume 14, Issue 4 , October 2023, , Pages 1239-1260

https://doi.org/10.22044/jme.2023.13406.2473

Abstract
  This study reports the application of remote sensing data and knowledge-driven GIS modeling to provide favorability maps for gold and copper mineralized areas. The South Gabal Um Monqul (SGUM) and the Gabal Al Kharaza (GKZ) prospects located in the northern Eastern Desert of Egypt are the targets for ...  Read More

Exploration
Machine Learning Predictive Approaches for Cu-Au Mineral prospectivity Map in Sonajil, NW of Iran: an Improvement by a Bayesian Semi-supervised Algorithm

Mohammadjafar Mohammadzadeh; Majid Mahboubiaghdam; Moharram Jahangiri; Aynur Nasseri

Volume 14, Issue 4 , October 2023, , Pages 1321-1342

https://doi.org/10.22044/jme.2023.13313.2445

Abstract
  Most machine learning-monitored algorithms used to create mineral potential prediction maps require noise-free data to achieve high performance and reliable results. Unsupervised clustering methods are highly effective for uncovering a dataset’s hidden structures. Therefore, this study attempts ...  Read More

Exploration
Application of Fuzzy Gamma Operator for Mineral Prospectivity Mapping, Case Study: Sonajil Area

Samaneh Barak; Ali Imamalipour; Maysam Abedi

Volume 14, Issue 3 , July 2023, , Pages 981-997

https://doi.org/10.22044/jme.2023.12954.2352

Abstract
  The Sonajil area is located in the east Azerbaijan province of Iran. According to studies on the geological structure, the region has experienced intrusive, subvolcanic, and extrusive magmatic activities, as well as subduction processes. As a result, the region is recognized for its high potential for ...  Read More

Exploration
Integration of Fractal and Multivariate Principal Component Models for Separating Pb-Zn Mineral Contaminated Areas

Hossein Mahdiyanfar; Mirmahdi Seyedrahimi-Niaraq

Volume 14, Issue 3 , July 2023, , Pages 1019-1035

https://doi.org/10.22044/jme.2023.13227.2424

Abstract
  The primary purpose of this investigation is contamination mapping in surrounding areas of Irankuh Pb–Zn mine, located in central Iran, using an integrated approach of principal component analysis (PCA) with the Concentration-Area (C-A) and Power Spectrum-Area (S-A) fractal models. PCA categorized ...  Read More

Exploration
Site Response Analysis and Empirical Correlations between N-Values and Shear Modulus for Sub-Himalayan District Hamirpur using ProShake

Vivek Sharma; Ravi Kumar Sharma; Pardeep Kumar

Volume 13, Issue 4 , October 2022, , Pages 1031-1047

https://doi.org/10.22044/jme.2022.12350.2241

Abstract
  In the present work, the empirical correlations between standard penetration test (SPT) N-values  versus  shear modulus (Gmax), and Peak Ground Acceleration (PGA) amplifications for sub-Himalayan district-Hamirpur, Himachal Pradesh (India) consisting of highly variable soil/rock strata at different ...  Read More

Exploration
A Practical Comparison between Gaussian and Direct Sequential Simulation Algorithms using a 3D Porosity Dataset

H. Sabeti; F. Moradpouri

Volume 13, Issue 2 , April 2022, , Pages 547-557

https://doi.org/10.22044/jme.2022.11874.2180

Abstract
  The geo-statistical simulation algorithms for continuous spatial variables have been used widely in order to generate the statistically-honored models. There are two main algorithms doing the continuous variable simulation, Sequential Gaussian Simulation (SGS) and Direct Sequential Simulation (DSS). ...  Read More

Exploration
Identification of Alteration Zones using ASTER Data for Metallic Mineralization in Ahar region, NW Iran

F. Mirsepahvand; M.R. Jafari; P. Afzal; M. A. Arian

Volume 13, Issue 1 , January 2022, , Pages 309-324

https://doi.org/10.22044/jme.2022.11477.2135

Abstract
  The goal of this research work is to recognize the metallic mineralization potential in the Ahar 1:100,000 sheet (NW Iran) using the remote sensing data based on determination of the alteration zones. This area is located in the Ahar-Arasbaran metallogenic zone as a significant metallogenic zone in Iran ...  Read More