Volume 16 (2025)
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
Assessment of hydrochemistry and heavy metal contamination in the groundwater around an abandoned Copper Mine area in Klein Aub, Namibia

Shoopala Uugulu; Nazlene Poulton; Akaha Tse; Martin Harris; Taiwo Bolaji

Articles in Press, Accepted Manuscript, Available Online from 10 May 2025

https://doi.org/10.22044/jme.2025.15598.2991

Abstract
  The long mining history in Namibia has resulted in numerous abandoned mining sites scattered throughout the country. Past research around the Klein Aub abandoned Copper mine highlighted environmental concerns related to past mining. Considering that residents of Klein Aub depend solely on groundwater ...  Read More

Exploration
Machine Learning-Based Simulation of Borehole Grade Identical Twins from Geophysical Attributes: Comparative Study of LR, GB, RF, and SVM in Kahang, Iran

Hassanreza Ghasemi Tabar; Sajjad Talesh Hosseini; Andisheh Alimoradi; mahdi fathi; Maryam Sahafzadeh

Articles in Press, Accepted Manuscript, Available Online from 13 May 2025

https://doi.org/10.22044/jme.2025.15310.2936

Abstract
  Estimating ore grades during the exploration phase is often time-consuming and costly due to the need for extensive drilling. Geophysical surveys, as the last indirect exploration method before drilling, offer valuable insights into subsurface mineralization. This study introduces a novel approach for ...  Read More

Exploration
Mineral Chemistry of the Gowd-e-Howz Granitoid Stock, SE, Iran: mineralization potential in relation to tectonomagmatic setting

Mahbubeh Arabzadeh Bani asadi; Habib Ghasemi; Mehdi Rezaei-Kahkhaei; Lambrini Papadopoulou

Articles in Press, Accepted Manuscript, Available Online from 26 May 2025

https://doi.org/10.22044/jme.2025.15713.3020

Abstract
  The lower Jurassic (180 ± 1.5 Ma) Gowd-e-Howz granitoid stock, as a part of the Sanandaj-Sirjan Metamorphic-Magmatic Zone (SSMMZ), SE Iran, intruded in the Upper Paleozoic metamorphic and Triassic igneous-sedimentary rocks. It consists of three main rock units including diorite, granodiorite and ...  Read More

Exploration
AI-Driven Mineral Exploration: Enhancing Geochemical Anomaly Detection with GANs and Transfer Learning, A Case Study from Janja region, SE Iran.

Mohammad Ebdali; Ardeshir Hezarkhani; Adel Shirazy; Amin Beiranvand Pour

Articles in Press, Accepted Manuscript, Available Online from 30 May 2025

https://doi.org/10.22044/jme.2025.16169.3124

Abstract
  This research endeavor concentrates on minerals exploration within the context of a hydrothermal polymetallic vein deposit environment. Stream sediment sampling was executed to acquire geochemical signatures pertinent to mineralization zones. The mineralization nature is classified as epithermal, predominantly ...  Read More

Exploration
Data mining in gravity field by utilizing clustering by self-organizing maps (case study in the southern part of Iran)

reza Shahnavehsi; Farnusch Hajizadeh

Articles in Press, Accepted Manuscript, Available Online from 25 February 2025

https://doi.org/10.22044/jme.2025.14879.2830

Abstract
  The present work is mainly about a method for illustrating the relation between the raw data in the same time; clustering is a key procedure to solve the problem of data division; also illustrating the connection among the elements of the research area simultaneously is important. Therefore, we propose ...  Read More

Exploration
Detection of karst features using integrated geophysical methods; case study Ravansar area

Hamid Reza Baghzendani; Hamid Aghajani; Gholam Hossein Karami

Articles in Press, Accepted Manuscript, Available Online from 20 October 2024

https://doi.org/10.22044/jme.2024.3283

Abstract
  Karsts are important sources of groundwater, and it is crucial to determine their water volume and quality. The Ravansar Karst spring in the Kermanshah province is a significant water resource with a substantial water volume in the area. The source of this spring is the carbonate rock unit from the Cretaceous ...  Read More

Exploration
Applying Deep Embedded Self Organizing Map (DE-SOM) method to separate geochemical anomalous areas of copper-gold mineralization in Moalleman region, Iran

Zohre Hoseinzade; Mohammad Hassan Bazoobandi

Articles in Press, Accepted Manuscript, Available Online from 08 November 2024

https://doi.org/10.22044/jme.2024.15003.2861

Abstract
  Anomaly detection is the process of recognizing patterns in data that differ from the typical behavior. In geochemistry, this involves identifying hidden patterns and unusual components within the context of exploratory target identification. This issue is particularly significant when limited information ...  Read More

Exploration
Delineation of permeability zoning of Asmari reservoir based on mud loss data using fractal models in Gachsaran oilfield, SW Iran

Peyman Afzal; Sina Samadi; Mehran Arian; Ali Solgi; Zahra Maleki; Mohammad Seraj

Articles in Press, Accepted Manuscript, Available Online from 30 May 2025

https://doi.org/10.22044/jme.2025.15198.2906

Abstract
  An important work for fractured reservoir modeling and development of oilfields is the delineation of geomechanical attributes such as permeability. The main aim of this research work is detection of permeability zones in the Asmari reservoir of Gachsaran oilfield (SW Iran) based on mud loss data. The ...  Read More

Exploration
Compiling a Preliminary Regional Geological Map Using Sentinel-2 Satellite Imagery and the Random Forest Algorithm in the East of Iran

Hamid Geranian; Mohammad Amir Alimi

Articles in Press, Accepted Manuscript, Available Online from 08 November 2024

https://doi.org/10.22044/jme.2024.15083.2882

Abstract
  This study employs Sentinel-2 satellite images along with the random forest algorithm to create a regional geological map. For this purpose, the independent variables consist of the images for 10 Sentinel-2 bands of the Khosuf-I region, while the class labels consist of a geological map of Khosuf-I divided ...  Read More

Exploration
Localizing the base learner weights in ensemble methods to improve the grade modeling accuracy

Ahmadreza Erfan; Saeed Soltani Mohammad; Maliheh Abbaszadeh

Articles in Press, Accepted Manuscript, Available Online from 09 December 2024

https://doi.org/10.22044/jme.2024.15242.2918

Abstract
  Machine learning (ML) has significantly transformed multiple disciplines, including mineral resource evaluation in mining engineering, by facilitating more accurate and efficient estimation methods.  Ensemble methods, as a fundamental component of modern machine learning, have emerged as powerful ...  Read More

Exploration
Separation REEs and lithium anomalies from the background by using Concentration-Number (C–N) and Concentration-Area (C-A) fractal models in North Kochakali coal deposit, Tabas

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

Articles in Press, Accepted Manuscript, Available Online from 12 December 2024

https://doi.org/10.22044/jme.2024.15323.2938

Abstract
  The purpose of this research is application of the Concentration-Number and Concentration-Area fractal models for determining the distribution pattern of REEs and lithium in mining area of the North Kochakali coal deposit. According to the Concentration-Area and Concentration-Number fractal graphs, four ...  Read More

Exploration
Optimizing Groundwater Seepage Prediction in Tunnels Using the Human Mental Search (HMS) Algorithm: A Cognitive-Inspired Approach to Complex Geotechnical Challenges

Shirin Jahanmirir; Ali Aalianvari; Hossein Ebrahimpour-Komleh

Articles in Press, Accepted Manuscript, Available Online from 26 December 2024

https://doi.org/10.22044/jme.2024.15373.2946

Abstract
  This paper introduces the Human Mental Search (HMS) algorithm as a novel and superior optimization technique for predicting groundwater seepage in tunnel environments. Traditional methods for predicting such seepage often struggle with the complexities of subterranean water flow, particularly in heterogeneous ...  Read More

Exploration
Self-Updating Local Variogram Models Using Automatic Clustering in Iterative Geostatistical Seismic Inversion

Shaghayegh Esmaeilzadeh; Ali Moradzadeh; omid Asghari; Reza Mohebian

Articles in Press, Accepted Manuscript, Available Online from 06 March 2025

https://doi.org/10.22044/jme.2025.15541.2978

Abstract
  Seismic inversion is a critical technique for estimating the spatial distribution of petro-elastic properties in the subsurface, based on the seismic reflection data. This work introduces an iterative geostatistical seismic inversion method, designed to address challenges in complex geological settings ...  Read More

Exploration
Predictive Modeling of Coal Gross Calorific Value Using Conventional and Robust Machine Learning Regression Techniques

Satyajeet Parida; Abhishek Kumar Tripathi; Tarek Salem Abdennaji; Yewuhalashet Fissha

Articles in Press, Accepted Manuscript, Available Online from 21 June 2025

https://doi.org/10.22044/jme.2025.15823.3043

Abstract
  Coal quality is predominantly determined by its Gross Calorific Value (GCV), which directly influences its economic valuation. Traditional empirical formulas for GCV estimation, though effective, become inefficient and laborious when handling large datasets. To address this, machine learning (ML) techniques ...  Read More

Exploration
Improving the results of the fractal model of geochemical Mineralization Probability Index Using the Gray Wolf Algorithm on the Stream Sediments Data of Sarduiyeh-Baft Area

Kamran Mostafaei; Mohammad Nabi Kianpour; Mahyar Yousefi; Meisam Saleki

Volume 16, Issue 4 , July and August 2025, , Pages 1165-1178

https://doi.org/10.22044/jme.2024.14757.2792

Abstract
  Discrimination of geochemical anomalies from background is a challenge in that elemental dispersion patterns are affected by a variety of geological factors, which vary from one to another area. While statistical and fractal methods are commonly employed for anomaly detection, they struggle with selecting ...  Read More

Exploration
Resource Estimation, Economic Viability, and Sustainable Mining of Subsurface Heavy Minerals using ArcGIS Raster Techniques: A Case Study from near-Shelf Region off Bavanapadu Coastal Sector, Andhra Pradesh, India

V.S.S.A Naidu Badireddi; Vije durga raju Mullagiri; MVS sekhar Bezawada; Ambili V; K S N Reddy

Volume 16, Issue 4 , July and August 2025, , Pages 1343-1358

https://doi.org/10.22044/jme.2025.15748.3031

Abstract
  The Bavanapadu-Nuvvalarevu coastal sector in Andhra Pradesh, India, hosts substantial subsurface heavy mineral (HM) resources, presenting significant economic potential. This study employs ArcGIS raster techniques to estimate Total Heavy Mineral (THM) and Total Economic Heavy Mineral (TEHM) resources ...  Read More

Exploration
Three-Dimensional Inversion and Interpretation of Ground Magnetic Data to Map Iron Resources: a Case Study of Shavaz Iron Ore in Iran

Bardiya Sadraeifar; Maysam Abedi; Seyed Hossein Hosseini

Volume 16, Issue 4 , July and August 2025, , Pages 1389-1402

https://doi.org/10.22044/jme.2024.14679.2775

Abstract
  The Shavaz iron deposit, located in the southwest Yazd province in Central Iranian Block, near The Bafq metallogenic belt, is a significant and economically valuable iron oxide-apatite resource. It features hematite and a minor content of magnetite, detectable through potential field geophysical ...  Read More

Exploration
Targeting of Porphyry Copper Mineralization Using a Continuous-based Logistic Function Approach in the Varzaghan District, North of Urumieh-Dokhtar Magmatic Arc

Mobin Saremi; Abbas Maghsoudi; Reza Ghezelbash; mahyar yousefi; Ardeshir Hezarkhani

Volume 16, Issue 4 , July and August 2025, , Pages 1417-1435

https://doi.org/10.22044/jme.2024.14752.2803

Abstract
  Mineral prospectivity mapping (MPM) is a multi-step and complex process designed to narrow down the target areas for exploratory activities in subsequent stages. To pinpoint promising zones of porphyry copper mineralization in the Varzaghan district, NW Iran, various exploration evidence layers were ...  Read More

Exploration
Reducing Drilling Cost in Geothermal Wells by Drilling Technology Optimization

Mohamed Y Amer; Adel M Salem; Mohammed S Farahat; Said Kamel Elsayed

Volume 16, Issue 3 , May and June 2025, , Pages 767-788

https://doi.org/10.22044/jme.2025.14206.2647

Abstract
  Sustainable production of sufficient energy to power the world’s economy with a minimum environmental footprint has been one of the most significant challenges for the decades. Geothermal energy has been considered as one of the promising options to meet the world’s future energy demand. ...  Read More

Exploration
Categorization of Mineral Resources using Random Forest Model in a Copper Deposit in Peru

Marco Antonio Cotrina-Teatino; Jairo Jhonatan Marquina-Araujo; Jose Nestor Mamani-Quispe; Solio Marino Arango-Retamozo; Johnny Henrry Ccatamayo-Barrios; Joe Alexis Gonzalez-Vasquez; Teofilo Donaires-Flores; Maxgabriel Alexis Calla-Huayapa

Volume 16, Issue 3 , May and June 2025, , Pages 947-962

https://doi.org/10.22044/jme.2025.15568.2984

Abstract
  This work aimed to categorize mineral resources in a copper deposit in Peru, using a machine learning model, integrating the K-prototypes clustering algorithm for initial classification and Random Forest (RF) as a spatial smoother. A total of 318,443 blocks were classified using geostatistical and geometric ...  Read More

Exploration
Mitigating the Uncertainties of Geomechanical Models by Estimating the Shear Wave Slowness Using Highly Accurate Deep Neural Network Models

Mahdi Bajolvand; Ahmad Ramezanzadeh; Amin Hekmatnejad; Mohammad Mehrad; Shadfar Davoodi; Mohammad Teimuri

Volume 16, Issue 3 , May and June 2025, , Pages 963-996

https://doi.org/10.22044/jme.2025.15294.2932

Abstract
  Shear Wave Slowness Log (DTSM) is one of the most important petrophysical logs applicable for studying reservoirs, especially geomechanical studying of the oil and gas fields. However, lack of this parameter in wellbore logging can import great sources of uncertainty into geomechanical studies. This ...  Read More

Exploration
Delineation of the Alteration Zones by C-N Fractal Model on ASTER Images

Seyyed Saeed Ghannadpour; Samaneh Esmaelzadeh Kalkhoran; Maedeh Behifar; Hadi Jalili

Volume 16, Issue 3 , May and June 2025, , Pages 1125-1139

https://doi.org/10.22044/jme.2024.14644.2765

Abstract
  In this study, with the aim of identifying alteration zones related to the porphyry copper system, satellite images are processed in study area (the Zafarghand exploration area) in the NE of Isfahan. For this purpose, one of the common methods of separating geochemical anomalies from the background, ...  Read More

Exploration
Exploration of Geothermal Resources in Peninsular Malaysia: A Review of Geological, Geochemical, and Geophysical Techniques

Abdalmajed Milad Shlof; Mohd Hariri Arifin; Muhammad Taqiuddin Zakaria; Emmanuel O. Salufu

Volume 16, Issue 2 , March 2025, , Pages 405-438

https://doi.org/10.22044/jme.2024.14767.2805

Abstract
  More than sixty thermal springs have been detected across Peninsular Malaysia, with about 75% conveniently located in easily accessible areas. The potential for thermal energy growth has been recognized at four hot spring localities: Lojing, Dusun Tua, Ulu Slim, and Sungai Klah. This article analyses ...  Read More

Exploration
A New Proposed Model for Early Kick Detection in Drilling Operation Using Machine Learning

Mustafa Yasser Elgindy; Ahmed Zakaria Nooh; Ali Mostafa Wahba

Volume 16, Issue 2 , March 2025, , Pages 439-451

https://doi.org/10.22044/jme.2024.14787.2807

Abstract
  Kick monitoring, detection, and control are key elements to ensure safe drilling operations and avoid catastrophic blow-out incidents that can cause loss of life, equipment, and environmental damage. Conventional kick detection systems such as the pit volume totalizer and the flow in/out sensors identify ...  Read More

Exploration
The utilization of Convolutional Neural Network for the analysis of Spectral Induced Polarization data through inversion techniques

Parnian Javadi Sharif; Alireza Arab Amiri; Behzad Tokhmechi; Fereydoun Sharifi

Volume 16, Issue 2 , March 2025, , Pages 633-651

https://doi.org/10.22044/jme.2024.14527.2734

Abstract
  The technique referred to as Complex Resistivity (CR) or Spectral Induced Polarization (SIP) possesses the capability to distinguish between various kinds of minerals or the sources of induced polarization by utilizing the physical characteristics of minerals or polarizable inclusions. The Generalized ...  Read More