Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Improvement of Small-Scale Dolomite Blasting Productivity: Comparison of Existing Empirical Models with Image Analysis Software and Artificial Neural Network Models 627 641 2507 10.22044/jme.2022.11771.2169 EN Blessing Olamide Taiwo Department of Mining Engineering, Federal University of Technology, Akure, Nigeria Journal Article 2022 03 23 Assessment of blast results is a significant approach for the improvement of mining operations. The different procedures for investigating rock fragmentation have their limitations, causing different variation prediction errors. Thus every technique is site-explicit, and applicable for a few explicit purposes. This work evaluates the existing empirical blast fragmentation model predictions in the case study of small-scale dolomite quarries. An attempt is made to compare the prediction accuracy of the modified Kuz-Ram model, Lawal 2021 model, and Kuznetsov-Cunningham-Ouchterlony (KCO) model with the WipFrag© analysis result and proposed artificial neural network (ANN) models. The prediction error analysis of the current models and that of the new proposed ANN models is evaluated using the three model assessment indices. The assessment indices uncover that the KCO model when compared to the modified Kuz-Ram model has the least error for most blast round percentage passing size predicted. However, the proposed artificial neural network models show high prediction exactness in predicting blast fragment mean size than the existing empirical models. Therefore, the proposed ANN models can be used to improve the productivity of small-scale dolomite blasting operation results for practical purposes.

https://jme.shahroodut.ac.ir/article_2507_e04a372f94acb8521d3d499b9c4b7d83.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Real-Scale Numerical Analyzing Dynamic Process of TBM Boring in Jointed Rock; a Case Study: Kerman Water Conveyance Tunnel in Iran 643 666 2509 10.22044/jme.2022.11996.2194 EN Morteza Karami Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran Shokrollah Zare Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran Jamal Rostami Department of Mining Engineering, Director of Earth Mechanics Institute (EMI), Colorado School of Mines, USA Journal Article 2022 06 11 One of the important cost items in mechanized tunneling is the cost of repairing or replacing the disc cutters that have suffered from normal wear during the boring of the hard abrasive rocks. For inspecting the health of the disc cutters, the boring operation shall be stopped, and after checking, the worn disc cutters may be replaced. In this work, the dynamic process of the TBM boring in the jointed rocks is simulated using a real-scale numerical analysis based on the rock fracturing factor using the discrete element method (DEM). The stress distributions induced within the disc cutters as well as the development of the plastic zones in the rock are investigated and compared with the actual results recorded in the Kerman water conveyance tunnel (KWCT). The numerical results indicate that the increase in the rock fracturing causes a decrease in the induced stresses and an increase in the size of the plastic zone. In other words, a higher penetration rate as well as more lifetime for disc cutters can be achieved in highly fractured rocks. Moreover, the average von Misses stress in the disc cutters in the highly fractured rocks is predicted about 16-23% less than stress induced in the slightly fractured rocks. Due to the TBM tunneling, the volume of the plastic zone as well as the actual penetration depth in the highly fracturing rocks are also about 40% and 42% higher than in the slightly fractured rocks under applying the same TBM parameters, respectively.

https://jme.shahroodut.ac.ir/article_2509_e078b5dd0503b0345191e98c3e275c99.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Slope Stability Analysis and Preventive Actions for a Landslide Location along NH-05 in Himachal Pradesh, India 667 678 2500 10.22044/jme.2022.12060.2202 EN Surya Pratap Singh Civil Engineering Department, NIT Hamirpur, Himachal Pradesh, India Amrit Kumar Roy Civil Engineering Department, NIT Hamirpur, Himachal Pradesh, India. Journal Article 2022 07 04 The Himalayan mountain range is susceptible to slope instability in numerous areas due to its complicated topography, because of the existing natural conditions and human influence and intervenes. National Highway-05 is considered in this work. The area under investigation located in Rampur, district Shimla, Himachal Pradesh is evaluated for slope stability. The primary purpose of this work is to maintain the slope's stability in order to protect NH-05 and the neighboring three-sided residential structures. Following the site visit, the geotechnical investigations in the form of bore holes and laboratory tests are conducted. Analysis of slope stability is commenced after interpreting the geotechnical study report. For an analytic slope stability, the studied area is divided into three sections, labelled A1-A1', B1-B1', and C1-C1'. Taking into account the geotechnical aspects of the specified research region, the mitigation design parameters for the area and the circular slip failure are calculated using the numerical modeling techniques. The software computes the safety factor for both the static and dynamic situations. As a result, preventative measures and a few improvements are suggested.

https://jme.shahroodut.ac.ir/article_2500_e75badb8c662bd0cf3d6dc7cbae94ae8.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Comparison of Efficiencies of Neutralizing Agents for Heavy Metal Removal from Acid Mine Drainage 679 691 2519 10.22044/jme.2022.12090.2205 EN Afrodita Zendelska Faculty of Natural and Technical Sciences, Goce Delchev University, Shtip, Republic of North Macedonia Adrijana Trajanova Mine Bucim, Radovish, Republic of North Macedonia Mirjana Golomeova Faculty of Natural and Technical Sciences, Goce Delchev University, Shtip, Republic of North Macedonia Blagoj Golomeov Faculty of Natural and Technical Sciences, Goce Delchev University, Shtip, Republic of North Macedonia Dejan Mirakovski Faculty of Natural and Technical Sciences, Goce Delchev University, Shtip, Republic of North Macedonia Nikolinka Doneva Faculty of Natural and Technical Sciences, Goce Delchev University, Shtip, Republic of North Macedonia 0000-0001-9578-5979 Marija Hadzi-Nikolova Faculty of Natural and Technical Sciences, Goce Delchev University, Shtip, Republic of North Macedonia Journal Article 2022 07 09 The treatment of acid mine drainages is usually based on two basic technologies, active and passive treatment technologies. Whichever acid mine drainage (AMD) treatment method is employed, a neutralizing procedure that raises the water's pH over 7.0 using alkaline agents is required prior to discharge. A comparison of eight different agents (BaCO3, Na2CO3, NaOH, KOH, K2CO3, MgO, CaCO3, and Ba(OH)2) was performed in order to choose the most effective neutralizing agent for acid mine drainage treatment. The experiments were performed using a multi-component synthetic aqueous solution with an initial concentration of 10 mg/L of the Cu, Mn, Zn, Fe, and Pb ions and an initial pH value of 1.9. According to the research, the most effective neutralizing agent for the removal of heavy metals from a multi-component aqueous solution is MgO, while the least effective agent was Na2CO3. The obtained series of effective neutralizing agents for the removal of heavy metals from a multi-component aqueous solution are presented in the work. The effect of the studied concentration of neutralizing agents depends on the neutralizing agents and heavy metals that are used. The percentage of heavy metals removed from aqueous solutions increases along with rising pH values. The consumption of the neutralizing agent decreases as the concentration of the neutralizing agent is increased. In addition, the time taken to achieve pH depends on the agent concentration. In particular, as the concentration of the neutralizing agent increases, the time to reach the pH decreases.

https://jme.shahroodut.ac.ir/article_2519_cff05d652840908e5ad21bec8728c5cf.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 An Experimental-Intelligent Method to Predict Noise Value of Drilling in Dimension Stone Industry 693 713 2517 10.22044/jme.2022.12092.2206 EN Reza Mikaeil Department of Mining and Engineering, Faculty of Environment, Urmia University of Technology, Urmia, Iran Mostafa Piri Department of Mining Engineering, Isfahan University of Technology (IUT): Isfahan, Iran Sina Shaffiee Haghshenas Department of Civil Engineering, University of Calabria, 87036 Rende, Italy Nicola Careddu Department of Civil, Environmental Engineering and Architecture (DICAAr): University of Cagliari; Institute of Environmental Geology and Geoengineering, IGAG, CNR, Via Marengo 2, 09123 Cagliari, Italy Hamid Hashemolhosseini Department of Civil Engineering, Isfahan University of Technology (IUT): Isfahan, Iran Journal Article 2022 07 10 The noise of drilling in the dimension stone business is unbearable for both the workplace and the people who work there. In order to reduce the negative effects drilling has on the health of the environment, the drilling noise has to be measured, assessed, and controlled. The main purpose of this work is to investigate an experimental-intelligent method to predict the noise value of drilling in the dimension stone industry. For this purpose,135 laboratory tests are designed on five types of rocks (four types of hard rock and one type of soft rock), and their results are measured in the first step. In the second step, due to the unpredicted and uncertain issues in this case, artificial intelligence (AI) approaches are applied, and the modeling is conducted using three intelligent systems (IS), namely an adaptive neuro-fuzzy inference system-SCM (ANFIS-SCM), an adaptive neuro-fuzzy inference system-FCM (ANFIS-FCM), and the radial basis function network (RBF) neural network. 75% of the samples are considered for training, and the rest for testing. Several models are constructed, and the results indicate that although there is no significant difference between the models according to the performance indices, the proposed construction of ANFIS-SCM can be considered as an efficient tool in the evaluation of drilling noise. Finally, several scenarios are designed with different input modes, and the results obtained prove that the types of rock and the drill bits are more important than the operational characteristics of the machine.

https://jme.shahroodut.ac.ir/article_2517_265675cb7f3ecc1beb549f074f703ad8.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Risk Assessment in Quarries using Failure Modes and Effects Analysis Method (Case study: West-Azerbaijan Mines) 715 725 2511 10.22044/jme.2022.12117.2209 EN Akbar Esmaeilzadeh Mining Engineering Department, Faculty of Environment, Urmia University of Technology, Urmia, Iran Sina Shaffiee Haghshenas Department of Civil Engineering, University of Calabria, Rende, Italy Reza Mikaeil Mining Engineering Department, Faculty of Environment, Urmia University of Technology, Urmia, Iran Giuseppe Guido Department of Civil Engineering, University of Calabria, Rende, Italy Roohollah Shirani Faradonbeh WA School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Kalgoorlie, WA, Australia Roozbeh Abbasi Azghan Mining Engineering Department, Faculty of Environment, Urmia University of Technology, Urmia, Iran Amir Jafarpour Department of Mining and Metallurgical Engineering, Yazd University, Yazd, Iran Shadi Taghizadeh Mining Engineering Department, Faculty of Environment, Urmia University of Technology, Urmia, Iran Journal Article 2022 07 15 Iran is one of the countries with the largest number of quarry mines in the world. Diamond cutting wire is usually used in quarries to cut dimension stone cubes, which is accompanied by hazardous events. Therefore, detecting and investigating the possible quarry risks is crucial to have a safe and sustainable mining operation. In mine exploitation, maintaining the safety of vehicles and increasing the knowledge of personnel regarding safety issues can considerably mitigate the number or radius of effect of hazards. Hence, the incidents and risks in the West-Azerbaijan quarries in Iran are investigated in this work. To do so, a list of the hazards and their descriptions are first prepared. Then the hazard risk rating is conducted using the Failure Modes and Effects Analysis (FMEA) method. The number of priorities is calculated for each incident based on probability, intensity, and risk detection probability. Finally, the main causes of risks in the studies quarries are identified. The results obtained show that the most likely dangers in dimensional stone mines in West Azerbaijan are diamond cutting wire breaking, rock-fall, and car accidents, with the priority numbers of 216, 180, and 135, respectively. These hazards can be mitigated by applying some preservative activities such as timely cutting wire replacement, utilizing an intelligent system for cutting tool control, necessary personal training, and considering some preservative points.

https://jme.shahroodut.ac.ir/article_2511_285cf1650f3b91de18c74ede3fc7942e.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Experimental Investigation on Deformation Behavior of Circular Underground Opening in Hard Soil using a 3D Physical Model 727 749 2492 10.22044/jme.2022.12158.2213 EN Jinwei Fu School of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China Mohammad Reza Safaei School of Civil Engineering, Aria University of Sciences and Sustainability, Tehran, Iran Hadi Haeri School of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China Vahab Sarfarazi Department of mining engineering, Hamedan University of technology, Hamedan, Iran Mohammad Fatehi Marji Department of Mine Exploitation Engineering, Faculty of Mining and metallurgy, Institute of Engineering, Yazd University, Yazd, Iran Leige Xu School of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China Ali Arefnia Department of Geotechnics & Transportation, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia Journal Article 2022 07 30 In this work, the mechanical behavior of strata deformation due to drilling and surface loading is investigated using a 3D physical model. For this purpose, a scaled-down physical model is first designed. Then the tunnel drilling and support system are built. The subsidence experiments performed due to tunnel excavation and loading in a very dense and loose soil are performed. Soil is clayey sand (SC), and the percentages of its components are as sand (S = 1. 41%), gravel (G = 25%), and clay (C = 9.33%). Unstable tunnel support experiments are also carried out using physical simulation. Finally, deformations of soil surface and subsidence of strata are observed and recorded. In the tunnel with segmental support, 18.75% more load is applied than in the unsupported tunnel, and the total subsidence of the strata is reduced by 36.2%. The area of the deformed inner layers is decreased by 74.2%, and the length of the affected area in the largest layer is decreased by 48%. The depth of the cavity created at the surface is 46.66% less.

https://jme.shahroodut.ac.ir/article_2492_0e051e440224b5dc41eb5ccfd361141c.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Determining Priority of Risk Factors in Technological Zones of Longwalls 751 765 2514 10.22044/jme.2022.12142.2216 EN Serhii Hryhorovych Nehrii Department of Mining of Mineral Deposits, Donetsk National Technical University, Pokrovsk, Ukraine Tetiana Oleksandrivna Nehrii Department of Labor and Environmental Protection, Kyiv National University of Construction and Architecture, Kyiv, Ukraine Oksana Viktorivna Zolotarova Language Training Department, Donetsk National Technical University, Pokrovsk, Ukraine Valentyn Anatolyovich Glyva Department of Physics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine Andrii Mykolaiovych Surzhenko Department of Applied Mechanic, Donetsk National Technical University, Pokrovsk, Ukraine Oksana Mykolaivna Tykhenko Department of Ecology, National Aviation University, Kyiv, Ukraine Nataliia Burdeina Department of Physics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine Journal Article 2022 08 11 The studies of risk factors on which the safety of miners depends are relevant. These factors include temperature and air velocity within roadways, relative air humidity, dust, noise and vibration, lighting, clutter, limited working space, the difficulty of work, and the collapse of roof rocks. Their greatest concentration is in the technological zones of longwalls, so it is important to determine the priority of taking into account the risk factors in certain zones for planning measures for labor protection in underground coal mining. Therefore, a matrix of priority of risk factors for technological zone longwalls is proposed. The matrix is based on a survey of experienced and well-informed scientists and engineers of coal mines (experts). Fifty experts are involved in the survey. The matrix assesses the priority of risk factors, and considers the technological zones of the longwalls for the planning labor protection measures. The zones of operation of the excavation machines and the end-sections of longwalls are defined as the most safety-critical. Less safety-critical, but also dangerous, are the zones of protection means and the zones of connection of the longwalls with the roadways. The level of a certain risk factor is determined for each zone. The highest priority should be given to the collapse of roofs, dust, clutter of the working space, and the severity of the miners' work. For each risk factor included in the matrix, the technical and organizational measures for labor protection are proposed to reduce the level of injuries for miners.

https://jme.shahroodut.ac.ir/article_2514_2dd4d1a0c8f9e51a4c31f9786bf0767b.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Assessment of Slope Stability and Its Remedies in Palampur, Himachal Pradesh 767 780 2520 10.22044/jme.2022.12215.2217 EN Alankrit Walia Department of Civil Engineering, National Institute of Technology Hamirpur, India Amrit Kumar Roy Department of Civil Engineering, National Institute of Technology Hamirpur, India Journal Article 2022 08 16 The complex geography of the Himalayan mountain range, along with the natural circumstances that already exist and the ways in which people have influenced and intervened in the region- makes various regions of the range vulnerable to slope instability. The slope stability of the area that is the subject of this work is evaluated in Palampur, which is in the Kangra district of Himachal Pradesh. The primary objective of this work is to ensure that the slope remains stable so that the nearby three-sided residential structures and the highway remain protected. After the site visit, the geo-technical studies, which include testing in the form of bore holes and in the laboratory, are carried out. After evaluating the geo-technical technical report, the next step in the process is to begin the analysis of the slope's stability. In order to do an analytical analysis of the slope stability, the area has been subdivided into three portions, and labelled A-A, B-B, and C-C, respectively. Using the numerical modelling approaches, the mitigation design parameters for the area and the circular slip failure are computed. These calculations are based on the geo-technical characteristics of the studied area that have been specified. The factor of safety is calculated for both the natural and stable scenarios by the program. Because of this, some preventative steps and a few improvements are suggested.

https://jme.shahroodut.ac.ir/article_2520_df794f5c0cd066a3abca00f930bd8382.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 The Finite Difference Analysis of Empirical Tunnel Support Design in High Stress fractured rock mass Environment at the Bunji Hydropower Project, Pakistan 781 795 2513 10.22044/jme.2022.12231.2219 EN Hafeezur Rehman Department of Mining Engineering, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Pakistan School of Materials and Mineral Resources Engineering, University Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, Malaysia Wahid Ali Department of Mining Engineering, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Pakistan Kausar Sultan Shah Department of Mining Engineering, Karakoram International University, Gilgit, Pakistan Mohd Hazizan Bin Mohd Hashim School of Materials and Mineral Resources Engineering, University Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, Malaysia Naseer Muhammad Khan Department of Sustainable Advanced Geomechanical Engineering, Military College of Engineering, National University of Sciences and Technology, Risalpur, Pakistan Muhammad Ali Department of Mining Engineering, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Pakistan Muhammad Kamran Department of Mining Engineering, Institute of Technology Bandung, Indonesia Muhammad Junaid Department of Mining Engineering, Karakoram International University, Gilgit, PakistanUniversiti Technologi Malaysia Journal Article 2022 08 22 Support design is the main goal of the Q and rock mass rating (RMR) systems. An assessment of the Q and RMR system application in tunnelling involving high-stress ground conditions shows that the first system is more appropriate due to the stress reduction factor. Recently, these two systems have been empirically modified for designing the excavation support pattern in jointed and highly stressed rock-mass conditions. This research work aims to highlight the significance of the numerical modelling, and numerically evaluate the empirically suggested support design for tunnelling in such an environment. A typical horse-shoe-shaped headrace tunnel at the Bunji hydropower project site is selected for this work. The borehole coring data reveal that amphibolite and Iskere Gneiss are the main rock mass units along the tunnel route. An evaluation of the proposed support based on the modified empirical systems indicate that the modified systems suggest heavy support compared to the original empirical systems. The intact and mass rock properties of the rock units are used as the input for numerical modelling. From numerical modelling, the axial stresses on rock bolts, thrust bending moment of shotcrete, and rock load from modified RMR and Q-systems are compared with the previous studies. The results obtained indicate that the support system designed based on modified version of the empirical systems produce better results in terms of tunnel stability in high-stress fractured rock mass conditions.

https://jme.shahroodut.ac.ir/article_2513_e7dc5e04cc873b30c6079539678e9d8a.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 A Deep Neural Network for Classification of Land Use Satellite Datasets in Mining Environments 797 808 2526 10.22044/jme.2022.12262.2224 EN Ajay Kumar School of Computer Science and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India Aditya Gupta School of Computer Science and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India Yadvendra Pratap Singh School of Computer Science and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India Monu Bhagat School of Computer Science and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India Journal Article 2022 09 08 Land use (LU) is one of the most imperative pieces of cartographic information used for monitoring the mining environment. The extraction of land use data sets from remotely sensed satellite images has garnered significant interest in the mining region community. However, classification of LUs from satellite images remains a tedious task due to the lack of availability of efficient coal mining related datasets. Deep learning methods provide great leverage to extract meaningful information from high-resolution satellite images. Moreover, the performance of a deep learning classification approach significantly depends on the quality of the datasets. The present work attempts to demonstrate the generation of satellite-based datasets for the performance analysis of different deep neural network (DNN)-based learning algorithms in the LU classifications of mining regions. The mining regions are broadly classified into distinct regions based on visual inspection, namely barren land, built-up areas, waterbody, vegetation, and active coal mines. In our experimental work, a patch of 100 spatial samples for each of the five features is generated on three scales, as [1 × 1 × 3], [5 × 5 × 3], and [10 × 10 × 3]. Moreover, the effects of different scalabilities of the dataset on classification performances are also analyzed. Furthermore, this case study is implemented for the large-scale benchmark of satellite image datasets for mining regions. In the future, this work can be used to classify LU in the relevant study regions in real time.

https://jme.shahroodut.ac.ir/article_2526_9f8428656f6d4cd707a91d7d7ae0bffa.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 2D Simulation of Dynamic Transportation of Volatile Hydrocarbons in Vadose Zone of Tehran Oil Refinery and Industrial area of Ray, Tehran, Iran 809 820 2512 10.22044/jme.2022.12004.2195 EN Azadeh Agah Mining Engineering Department, Engineering Faculty, University of Sistan and Baluchestan, Zahedan, Iran Faramarz Doulati Ardejani School of Mining, College of Engineering, University of Tehran, Tehran, Iran Mohamad Javad Azinfar Mining Engineering Department, Engineering Faculty, University of Sistan and Baluchestan, Zahedan, Iran Journal Article 2022 06 14 This work investigates the reactive transport of volatile hydrocarbons in the unconfined aquifer system of Tehran oil refinery and the industrial area of Ray, Tehran. A 2D finite volume model is presented to predict the soil gas contamination caused by LNAPL traveling on the phreatic surface through the vadose zone of the aquifer incorporating physical, chemical, and biological processes. A multi-purpose commercial software called PHOENICS is modified by incorporating extra codes to solve the model equations numerically. The model predictions closely agree with the field measurements, showing that the LNAPL migration is typically affected by the volatilization process. LNAPLs represent a potential long-term source of soil and groundwater contamination in the studied site. A comparison of the simulation results in a time step of 36 years with the results of field studies shows that the presented numerical model can simulate the reaction transfer of evaporated hydrocarbons in the unsaturated region. The concentrations have decreased in the time step of 36 years compared to the values shown in the time step of 50 years. This decrease in the hydrocarbon gas-phase concentrations in the unsaturated zone is due to excavations at the site for field studies. Through these excavations, a significant volume of the gaseous phase trapped below the earth's surface is released into the atmosphere, which reduces the accumulation of volatile gases beneath the earth's surface.

https://jme.shahroodut.ac.ir/article_2512_5e8bb5c901f219c97103bf1a79425ffb.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Fractal Modeling of Geochemical Mineralization Prospectivity Index based on Centered Log-Ratio Transformed Data for Geochemical Targeting: a Case Study of Cu Porphyry Mineralization 821 838 2516 10.22044/jme.2022.12024.2197 EN Hossein Mahdiyanfar Department of mining engineering, University of Gonabab, Iran Amir Salimi Mining Engineering Group, Faculty of Engineering, University of Zanjan, Zanjan, Iran Journal Article 2022 06 21 This work aims to investigate the geochemical signatures of the Cu porphyry deposit in the Dalli area using the geochemical soil samples. At the first step, the geochemical data was opened using the Centered Log-Ratio (CLR) transform method. Then those outlier samples that reduce the accuracy of the geochemical models were detected and removed using the Mahalanobis Distance (MD) method. We applied the Principal Component Analysis (PCA) and Geochemical Mineralization Prospectivity Index (GMPI) methods on the cleaned transformed geochemical dataset. The PCA method identified five principal components (PCs), from which PC1 including Cu, Au, and Mo, are specified as the mineralization factor (MF). The GMPI approach can improve the multivariate geochemical signature in geochemical mapping. Hence, the GMPI values of the samples were calculated based on the score values of MF (Cu, Au, Mo). The results convey that the large values of GMPI (MF) (Cu, Au, Mo) strongly correlate with the quartz diorite porphyry rocks and potassic alteration zones. The GMPI (MF (Cu, Au, Mo)) index was modeled using the Concentration-Number (C-N) fractal method. The C-N fractal model identified four geochemical populations based on the different fractal dimensions. The geochemical anomaly map of GMPI (MF) (Cu, Au, Mo) was delineated using these classified populations. The obtained promising areas were validated adequately by more detailed exploration works and deep drilled boreholes as well. The Cu-Au mineralization potential parts are appropriately mapped by this hybrid method. The results obtained demonstrate that this scenario can be adequately used for geochemical mapping on local scales.

https://jme.shahroodut.ac.ir/article_2516_a9baef74815e70601f86c06927c600c7.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Modeling, Optimizing, and Characterizing Elimination Process of Cyanide Ion from an Industrial Wastewater of Gold Mine by Caro’s Acid Method 839 849 2508 10.22044/jme.2022.12027.2198 EN Hassan Vafaie Department of Mining Engineering, Lorestan University, Lorestan, Iran Seyyed Mohammad Seyyed Alizadeh Ganji Department of Mining Engineering, Lorestan University, Lorestan, Iran Journal Article 2022 06 23 The present work is aimed to examine the elimination of cyanide ions from the wastewater derived from the Agh-Darreh gold mine using the Caro’s acid method. The response surface modeling is utilized to evaluate and optimize the influential parameters such as the sulfuric acid/hydrogen peroxide ratio, pH, Caro’s acid concentration, and contact time on the elimination process. The results obtained indicate that the increase in the Caro’s acid concentration and contact time has a positive impact on the elimination of the free cyanide ions, while the increment in the weight ratio of sulfuric acid/hydrogen peroxide and pH higher than 9.5 demonstrate a negative impact. Also it is found that the quadratic effect of pH has the highest influence on the removal of cyanide ion, and the linear effect of the ratio of sulfuric acid/hydrogen peroxide has the lowest degree of importance. Additionally, the optimization process is carried out, and about 96.4% of the cyanide ions is eliminated from the wastewater under the optimal conditions including 2 g/L Caro’s acid concentration, 9.3 pH, 8 min contact time, and sulfuric acid to hydrogen peroxide (weight) ratio of 2.

https://jme.shahroodut.ac.ir/article_2508_398a3b34fc3563ee2440b8d7acb8d9bf.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Compressional and Shear Interval Velocity Modeling to Determine Formation Pressures in an Oilfield of SW Iran 851 873 2493 10.22044/jme.2022.12048.2201 EN Pooria Kianoush Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Ghodratollah Mohammadi Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Seyed Aliakbar Hosseini Department of Petroleum, Materials and Mining Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran Nasser Keshavazr Faraj Khah Deputy Manager Geoscience Faculty, Research Institute of Petroleum Industry (RIPI), Tehran, Iran Peyman Afzal Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Journal Article 2022 07 02 In the seismic methods, estimation of the formation pressures is obtained by converting the seismic velocity to the pore pressure, and comparing it with the effective pressure during the well-test program. This work is a new challenge regarding the velocity study domain in an oil field in SW Iran. The reservoir generally consists of carbonate rocks, and contains no shale interbeds. Here, 23 well information, seismic data interpretation, compressional (Vp), and shear velocity (Vs) models are implemented. The models are determined from the combined geo-statistical methods, and the results obtained are compared with the fractal models. The final Vs cube is modeled in order to determine the formation fracture pressure using the exploratory well cores and dipole sonic imager (DSI) Vs logs with a correlation coefficient of 0.95 for the Vs data obtained from the porosity, lithology, and primary DSI data. The vertical seismic profiling (VSP) data introduce a maximum interval velocity of 2760-2900 m/s in the field related to the Gotnia formation. The final amounts of seismic acoustic impedance inversion (AI) at the bottom of the field are mostly in the range of 8000-15000 [(m/s)*(g/cm3)], which can be related to the calcareous formations. Based on the Logratio matrix obtained from the fractal velocity-volume (Vp-V) model, the maximum overall accuracy (OA) in the dominant limestone intervals is 0.74. It indicates a high correlation of the Vp cube model obtained from the combination of sequential Gaussian simulation (SGS) and co-kriging models with AI. The uncertainty studies of Vp model in blind wells are about 50%, which is acceptable considering the large well numbers.

https://jme.shahroodut.ac.ir/article_2493_3f88ee9bb63bd398b9814ca4a3a58d50.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 An Investigation into Bench Health Monitoring under Blast Loading in Hoek-Brown Failure Criterion using Finite Difference Method 875 889 2515 10.22044/jme.2022.12094.2207 EN Seyed Ahmad Mousavi Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran Kaveh Ahangari Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran 0000-0001-9462-7303 Kamran Goshtasbi Department of Mining Engineering, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran Journal Article 2022 07 10 Blast and stress release create cracks, fractures, and excavation damage zone in the remaining rock mass. Bench health monitoring (BHM) is crucial regarding bench health and safety in blast dynamic loading. Several empirical criteria have been proposed for a quick estimation of different parameters of a rock mass in the zone damaged by the blast. This work estimates the rock mass properties behind the blast hole based on the generalized Hoek-Brown failure criterion and quantitative disturbance factor (D). Considering a constant D value, either zero or one, for the entire rock mass, remarkably alters its strength and stability, resulting in very optimistic or very conservative analyses. Therefore, D is considered based on the elastic damage theory, and numerical simulation is conducted based on the finite difference software FLAC to investigate the vibration and damage threshold by monitoring the peak particle velocity (PPV) in the bench domain with different geometries. According to the numerical simulation, as the depth behind the blast hole increases, the value of D decreases from one to zero almost non-linearly, resulting in a non-linear reduction in the Hoek-Brown behavioral model properties. It is found that using various parameters of rock mass in the blast-induced damage zone behind the hole leads to thoroughly different PPV values than the constant parameters. Accordingly, the approach to using the quantified values of parameter D is of great importance in the estimation of various properties of a rock mass in the blast-induced zone, as well as calculation of the vibration.

https://jme.shahroodut.ac.ir/article_2515_798b331535b6acbed1d8d9b44aff57db.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Role of Functional Groups in Selective Adsorption of Gold over Copper Cyano complexes by Activated Carbon: A DFT Study 891 901 2518 10.22044/jme.2022.12125.2210 EN Sina Ghasemi Department of Mining Engineering, Tarbiat Modares University, Tehran, Iran Sima Mohammadnejad Department of Mining Engineering, Tarbiat Modares University, Tehran, Iran Mohammad Reza Khalesi Department of Mining Engineering, Tarbiat Modares University, Tehran, Iran Journal Article 2022 07 17 The adsorption of gold and copper cyanide complexes on the activated carbon is investigated using the Density Functional Theory (DFT). In order to represent the activated carbon, two fullerene-like model (presenting structural defect sites) and a simple graphene layer containing different functional groups (presenting chemical active sites) are employed. The structural defect sites show a much lower adsorption tendency toward all the cyano complexes comparing to the chemical active sites. The interaction energy for all of the complexes with structural defect sites (concave) is very low. However, the graphene layer with unsaturated active sites displays the highest level of interaction almost for all the complexes except Cu(CN)4-3. The effect of oxygen functional groups on the graphite edges shows a crucial role in the selectivity of gold adsorption over copper complexes. It has increased adsorption energy for Cu(CN)2- in the presence of OH and COOH, and has decreased adsorption energy for Au(CN)2- by OH and increased by COOH. The study results elucidate the lower selectivity for adsorption of gold over copper cyanides by high oxygen content activated carbon. The energy levels of the HOMO and LUMO orbitals show adsorption of unpaired cyanide anions on the activated carbon surface occurs by electron transfer from the complex to the adsorbent and adsorption onto the activated carbon edges by transferring electrons from the absorbent to the complex. The result has clearly demonstrated that the functional groups increase the adsorption tendency for both the gold (only COOH) and copper complexes (OH and COOH) but deteriorate the selectivity of gold over copper cyanides.

https://jme.shahroodut.ac.ir/article_2518_d5f749d131fc886160fef7e3fad33cde.pdf

Shahrood University of Technology Journal of Mining and Environment 2251-8592 13 3 2022 07 01 Simulation of Crack Propagation Mechanism in Porous Media using Modified linear Element Displacement Discontinuity Method 903 927 2527 10.22044/jme.2022.12246.2223 EN Mohammadhosein Dehghani Firoozabadi Department of Mining and Metallurgical Engineering, Faculty of Engineering, Yazd University, Yazd, Iran. Mohammad Fatehi Marji Department of Mining and Metallurgical Engineering, Faculty of Engineering, Yazd University, Yazd, Iran. Abolfazl Abdollahipour School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran. Alireza Yarahamdi Bafghi Department of Mining and Metallurgical Engineering, Faculty of Engineering, Yazd University, Yazd, Iran. Yousef Mirzaeian Department of Mining and Metallurgical Engineering, Faculty of Engineering, Yazd University, Yazd, Iran. Journal Article 2022 09 02 In this work, an effective methodology is introduced for simulation of the crack propagation in linear poroelastic media. The presence of pores and saturated cracks that can be accompanied by fluid flow makes the use of poroelastic media inevitable. In this work, involvement of the time parameter in crack propagation is of particular importance. The order of doing the work is such that first, derives the fundamental solutions of a poroelastic higher order displacement discontinuity method (PHODDM). Then will be provided a numerical formulation and implementation for PHODDM in a code named linear element poroelastic DDM (LEP-DDM). Analytical solutions use different times to check the correctness and validity of the proposed solution and the newly developed code. The numerical results show a good agreement and coordination with the analytical results in time zero and 5000 seconds . The code is able to pursue crack-propagation in time and space. This topic is introduced and shown in an example.

https://jme.shahroodut.ac.ir/article_2527_e6d5d61dca2708fac263a6e667efc5d4.pdf