Adel Shirazy
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View article: Geochemical Evolution and Tectonic Setting of Neoproterozoic Serpentinites from the Bou Azzer Ophiolite, Morocco: Evidence for Subduction-Related Mantle Wedge Processes
Geochemical Evolution and Tectonic Setting of Neoproterozoic Serpentinites from the Bou Azzer Ophiolite, Morocco: Evidence for Subduction-Related Mantle Wedge Processes Open
The Bou Azzer inlier of the Central Anti-Atlas (Morocco) exposes a relic of a Neopro-terozoic ophiolitic complex, in which serpentinites constitute a volumetrically im-portant constituent of the mantle sequence. These serpentinites form WN…
View article: Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms
Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms Open
Unsupervised anomaly detection algorithms have gained significant attention in the field of mineral prospectivity mapping (MPM) due to their ability to reveal hidden mineralization zones by effectively modeling complex, nonlinear relations…
View article: Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms
Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms Open
Unsupervised anomaly detection algorithms have gained significant attention in the field of Mineral Prospectivity Mapping (MPM) due to their ability to reveal hidden mineralization zones by effectively modeling complex, nonlinear relations…
View article: Thermo-poroelastic analysis of drilling fluid pressure and temperature on wellbore stresses in the Mansouri oilfield, SW Iran
Thermo-poroelastic analysis of drilling fluid pressure and temperature on wellbore stresses in the Mansouri oilfield, SW Iran Open
Ensuring wellbore stability is essential for successful oilfield drilling operations, as instability can prolong drilling time and escalate costs, potentially resulting in halted operations and loss of wells. This study presents a comprehe…
View article: Modeling the Barite Deposition Process in the Jbel Irhoud Deposit, Western Jebilet, Morocco: Implications for Barite Exploration and Insights Into Mineralization Mechanisms
Modeling the Barite Deposition Process in the Jbel Irhoud Deposit, Western Jebilet, Morocco: Implications for Barite Exploration and Insights Into Mineralization Mechanisms Open
The barite of the Jbel Irhoud deposit in Western Jebilet, Morocco, is a Paleozoic massif known for its mineralization, which occurs mainly in shale, sandstone, and Middle Cambrian limestone. Three main types of barite deposits are known in…
View article: Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri Oilfields, SW Iran
Employing Statistical Algorithms and Clustering Techniques to Assess Lithological Facies for Identifying Optimal Reservoir Rocks: A Case Study of the Mansouri Oilfields, SW Iran Open
The crucial parameters influencing drilling operations, reservoir production behavior, and well completion are lithology and reservoir rock. This study identified optimal reservoir rocks and facies in 280 core samples from a drilled well i…
View article: An Artificial Intelligence (AI)-based Model for Optimal Exploratory Surveys (Geophysics and Geochemistry)
An Artificial Intelligence (AI)-based Model for Optimal Exploratory Surveys (Geophysics and Geochemistry) Open
View article: Remote Sensing, Petrological and Geochemical Data for Lithological Mapping in Wadi Kid, Southeast Sinai, Egypt
Remote Sensing, Petrological and Geochemical Data for Lithological Mapping in Wadi Kid, Southeast Sinai, Egypt Open
The Wadi Samra–Wadi Kid district in southeastern Sinai, Egypt, has undergone extensive investigation involving remote sensing analysis, field geology studies, petrography, and geochemistry. The main aim of this study is the integration bet…
View article: Geochemical Modeling of Copper Mineralization Using Geostatistical and Machine Learning Algorithms in the Sahlabad Area, Iran
Geochemical Modeling of Copper Mineralization Using Geostatistical and Machine Learning Algorithms in the Sahlabad Area, Iran Open
Analyzing geochemical data from stream sediment samples is one of the most proactive tools in the geochemical modeling of ore mineralization and mineral exploration. The main purpose of this study is to develop a geochemical model for pros…
View article: Ore Genesis of the Abu Ghalaga Ferro-Ilmenite Ore Associated with Neoproterozoic Massive-Type Gabbros, South-Eastern Desert of Egypt: Evidence from Texture and Mineral Chemistry
Ore Genesis of the Abu Ghalaga Ferro-Ilmenite Ore Associated with Neoproterozoic Massive-Type Gabbros, South-Eastern Desert of Egypt: Evidence from Texture and Mineral Chemistry Open
Massif-type mafic intrusions (gabbro and anorthosite) are known for their considerable resources of vanadium-bearing iron–titanium oxide ores. Massive-type gabbroic and anorthosite rocks are frequently associated with magmatic rocks that h…
View article: Geochemical relations among elements in stream sediment samples from Siojan Prospecting Area, Iran using geostatistical methods
Geochemical relations among elements in stream sediment samples from Siojan Prospecting Area, Iran using geostatistical methods Open
Stream sediment samples play an important role in identifying potential areas of metallic and non-metallic mineralization in mineral exploration studies. The relationship of geochemical elements with each other shows how the elements are d…
View article: Multi-Dimensional Data Fusion for Mineral Prospectivity Mapping (MPM) Using Fuzzy-AHP Decision-Making Method, Kodegan-Basiran Region, East Iran
Multi-Dimensional Data Fusion for Mineral Prospectivity Mapping (MPM) Using Fuzzy-AHP Decision-Making Method, Kodegan-Basiran Region, East Iran Open
Analyzing and fusing information layers of exploratory parameters is a crucial stride for increasing the accuracy of pinpointing mineral potential zones in the reconnaissance stage of mineral exploration. Remote sensing, geophysical, geoch…
View article: Fusion of Remote Sensing, Magnetometric, and Geological Data to Identify Polymetallic Mineral Potential Zones in Chakchak Region, Yazd, Iran
Fusion of Remote Sensing, Magnetometric, and Geological Data to Identify Polymetallic Mineral Potential Zones in Chakchak Region, Yazd, Iran Open
Exploration geologists are urged to develop new, robust, and low-cost approaches to identify high potential zones related to underground/unexplored mineral deposits because of increased depletion of ore deposits and high consumption of bas…
View article: Neuro-Fuzzy-AHP (NFAHP) Technique for Copper Exploration Using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Geological Datasets in the Sahlabad Mining Area, East Iran
Neuro-Fuzzy-AHP (NFAHP) Technique for Copper Exploration Using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Geological Datasets in the Sahlabad Mining Area, East Iran Open
Fusion and analysis of thematic information layers using machine learning algorithms provide an important step toward achieving accurate mineral potential maps in the reconnaissance stage of mineral exploration. This study developed the Ne…
View article: A Review of Mineralization of Rare Earth Elements in Iran
A Review of Mineralization of Rare Earth Elements in Iran Open
Due to the increasing progress of modern technology, the increasing use of rare earth elements, the strategic nature of these elements, and the national need for these elements, the study and exploration of these elements are of great impo…
View article: Prediction of Copper Mineralization by the Artificial Neural Network (GRNN and BPNN) in Mesgaran Exploration Area, Eastern Iran
Prediction of Copper Mineralization by the Artificial Neural Network (GRNN and BPNN) in Mesgaran Exploration Area, Eastern Iran Open
Mesgaran exploration area is located in South Khorasan province, 26 km south of Sarbisheh city. The mineral potential of coppersmiths is copper mineralization. According to 75 surface samples taken, the analysis results are examined using …
View article: Geophysical Studies to Identify Iron Mineralization Anomalies Using Terrestrial Magnetometry in The ChakChak Area
Geophysical Studies to Identify Iron Mineralization Anomalies Using Terrestrial Magnetometry in The ChakChak Area Open
Mineral exploration is the underlying theme of industry and discoveries because humans have been exploring for minerals from the very beginning, based on their needs. This research aims to find promising areas of iron ore mineralization in…
View article: Design of an Artificial Neural Network (BPNN) to Predict the Content of Silicon Oxide (SiO2) based on the Values of the Rock Main Oxides: Glass Factory Feed Case Study
Design of an Artificial Neural Network (BPNN) to Predict the Content of Silicon Oxide (SiO2) based on the Values of the Rock Main Oxides: Glass Factory Feed Case Study Open
Artificial neural network (ANN) is one of the practical methods for prediction in various sciences. In this study, which was carried out on Glass and Crystal Factory in Isfahan, the amount of silica purification used in industry has been i…
View article: Assessment of the Influence of Sulfuric Acid/Hydrogen Peroxide Mixture on Organic Sulfur Reduction of High Sulfur Coals and Their Chemical Composition
Assessment of the Influence of Sulfuric Acid/Hydrogen Peroxide Mixture on Organic Sulfur Reduction of High Sulfur Coals and Their Chemical Composition Open
One of the contaminants in coal is sulphur. The adverse impact of sulfur on coal, such as environmental pollution, degradation of steel quality, and reduction of coal’s thermal value, has led to the attention of sulfur separation methods i…
View article: Feasibility of Simultaneous Application of Fuzzy Neural Network and TOPSIS Integrated Method in Potential Mapping of Lead and Zinc Mineralization in Isfahan-Khomein Metallogeny Zone
Feasibility of Simultaneous Application of Fuzzy Neural Network and TOPSIS Integrated Method in Potential Mapping of Lead and Zinc Mineralization in Isfahan-Khomein Metallogeny Zone Open
Iran is located on a silver, lead, and zinc belt and according to the latest studies holds 11 million tons of lead, zinc, and silver stones which constitute 4 percent of global resources. Considering that mineral materials are explored in …
View article: Investigation of Environmental and Biological Effects of Rare Earth Elements (REEs) with a Special Focus on Industrial and Mining Pollutions in Iran: A Review
Investigation of Environmental and Biological Effects of Rare Earth Elements (REEs) with a Special Focus on Industrial and Mining Pollutions in Iran: A Review Open
The present article is a review study on the types of rare earth elements (REEs), environmental and biological effects as well as the sources of emission of these elements as pollution in nature. The purpose of this study is to provide a v…
View article: Hybrid Fuzzy-Analytic Hierarchy Process (AHP) Model for Porphyry Copper Prospecting in Simorgh Area, Eastern Lut Block of Iran
Hybrid Fuzzy-Analytic Hierarchy Process (AHP) Model for Porphyry Copper Prospecting in Simorgh Area, Eastern Lut Block of Iran Open
The eastern Lut block of Iran has a high potential for porphyry copper mineralization due to the subduction tectonic regime. It is located in an inaccessible region and has harsh arid conditions for traditional mineral exploration campaign…
View article: K-Means Clustering and General Regression Neural Network Methods for Copper Mineralization probability in Char-Farsakh, Iran
K-Means Clustering and General Regression Neural Network Methods for Copper Mineralization probability in Char-Farsakh, Iran Open
Due to the efficiency of data mining science for analyzing and reviewing extensive data, especially geochemical data, essential methods and techniques such as the hierarchical method, K-Means method, density-based methods, Cohennon method,…
View article: Investigation of Magneto-/Radio-Metric Behavior in Order to Identify an Estimator Model Using K-Means Clustering and Artificial Neural Network (ANN) (Iron Ore Deposit, Yazd, IRAN)
Investigation of Magneto-/Radio-Metric Behavior in Order to Identify an Estimator Model Using K-Means Clustering and Artificial Neural Network (ANN) (Iron Ore Deposit, Yazd, IRAN) Open
The study area is located near Toot village in the Yazd province of Iran, which is considered in terms of its iron mineralization potential. In this area, due to radioactivity, radiometric surveys were performed in a part of the area where…
View article: Permeability Estimation From stoneley Waves in Carbonate Reservoirs
Permeability Estimation From stoneley Waves in Carbonate Reservoirs Open
Permeability is one of the petrophysical properties of oil and gas reservoirs and is defined as the ability of rock to transmit fluids through the porous media. After exploration of any reservoir, permeability information is necessary to o…
View article: Investigation of Geochemical Sections in Exploratory Boreholes of Mesgaran Copper Deposit in Iran
Investigation of Geochemical Sections in Exploratory Boreholes of Mesgaran Copper Deposit in Iran Open
Mesgaran copper deposit is located in Sarbisheh city of South Khorasan province of Iran. To investigate the geochemical changes of the elements with increasing depth in the deposit, geochemical sections for important minerals related to mi…
View article: Determination of Archie’s Tortuosity Factor from Stoneley Waves in Carbonate Reservoirs
Determination of Archie’s Tortuosity Factor from Stoneley Waves in Carbonate Reservoirs Open
One of the fundamental equations in calculate the saturation of fluid in hydrocarbon reservoirs is the Archie’s equation. In addition to the parameters measured by well logging such as porosity and resistivity, there are others parameters …
View article: Application of Remote Sensing in Earth Sciences – A Review
Application of Remote Sensing in Earth Sciences – A Review Open
The application of remote sensing sciences in the field of geology is very diverse and wide. One of its most important applications in earth sciences is geological mapping. Mineral exploration using remote sensing techniques is done in dif…
View article: Geochemical and Behavioral Modeling of Phosphorus and Sulfur as Deleterious Elements of Iron Ore to Be Used in Geometallurgical Studies, Sheytoor Iron Ore, Iran
Geochemical and Behavioral Modeling of Phosphorus and Sulfur as Deleterious Elements of Iron Ore to Be Used in Geometallurgical Studies, Sheytoor Iron Ore, Iran Open
Sheytoor Iron Ore deposit is located in Yazd province of Iran (Bafq). The most abundant ore is magnetite, which can be seen in the form of mass and granular tissue in various forms of self-shaped, semi-self-shaped and amorphous. The main p…
View article: Geophysical Study: Estimation of Deposit Depth Using Gravimetric Data and Euler Method (Jalalabad Iron Mine, Kerman Province of IRAN)
Geophysical Study: Estimation of Deposit Depth Using Gravimetric Data and Euler Method (Jalalabad Iron Mine, Kerman Province of IRAN) Open
Mineral exploration is done by different methods. Geophysical and geochemical studies are two powerful tools in this field. In integrated studies, the results of each study are used to determine the location of the drilling boreholes. The …