2015
6
1
1
124
1

Geostatistical simulation of dyke systems in Sungun porphyry copper deposit, Iran
http://jme.shahroodut.ac.ir/article_381.html
10.22044/jme.2015.381
1
Postmineralization activities may cause difficulties in the process of ore modeling in porphyry deposits. Sungun, NW Iran, is one of the porphyry copper deposits, in which dyke intrusions have made ore modeling more complicated than expected. Among different kinds of dykes, two types were chosen and the consequent geostatistical analyses were applied on. In this study, simple directional variograms were used for extracting relevant information from dyke systems on which the Sequential Indicator Simulations were applied consequently. One hundred realizations were produced on the simulation grid considering the anisotropy characteristics and Etype map has been provided averaging all realizations. Moreover, a binary state between dyke and nondyke environments was produced putting threshold on the Etype grid node values to discriminate the ore from barren dykes. Holeeffect models were fitted to the empirical variograms perpendicular to the dyke strike. Dimensional information was elicited from these models and the results were compared with the previously carried out geological investigations, and finally a good numerical match was found between these two sources of information.
0

1
10


Omid
Asghari
Simulation and Data Processing Laboratory, School of Mining Engineering, University of Tehran, Tehran, Iran
Iran
o.asghari@ut.ac.ir
Dyke System
Variogram
HoleEffect
Directional Features
SIS
Dimensional Features
1

Selection of new exploration targets using lithogeochemical data obtained for Taknar deposit located in NE of Iran
http://jme.shahroodut.ac.ir/article_370.html
10.22044/jme.2015.370
1
Taknar deposit is located about 28 km to the northwest of Bardaskan in the KhorasaneRazavi province, which is situated in the northeastern part of Iran. This deposit is unique, formed within the Taknar formation in the Ordovician time. As a result, it is of much interest to many researchers working in this field. By choosing the lithogeochemical study performed to recognize new exploration targets which a new stage in the field. After preprocessing the lithogeochemical data obtained, the distribution maps were obtained for the element anomalies and alteration indices. The ratios of additive composite haloes were used to study the erosion levels in the Taknar area. In order to produce the favorability map, eight information layers were integrated using the simple overlay method, and four new exploration targets were obtained.
0

11
20


Kh.
Maroufi Naghadehi
Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
mahrofi@yahoo.com


A.
Hezarkhani
Department of Mining and Metallurgy Engineering, Amirkabir University of Technology, Tehran, Iran
Iran
ardehez@aut.ac.ir


K.
Seifpanahi Shabani
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
q.s11063@yahoo.com
Taknar Deposit
Lithogeochemical Exploration
Alteration Index
Exploration Targets
1

Application of artificial neural network and genetic algorithm to modelling the groundwater inflow to an advancing open pit mine
http://jme.shahroodut.ac.ir/article_330.html
10.22044/jme.2014.330
1
In this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. Novel hybrid method coupling artificial neural network (ANN) with genetic algorithm (GA) called ANNGA, was utilised. Ratios of pit depth to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the hydraulic head (HH) in the observation wells to the distance of observation wells from the centre of pit were used as inputs to the network. An ANNGA with 4531 arrangement was found capable to predict the groundwater inflow to mine pit. The accuracy and reliability of model was verified by field data. Predicted results were very close to the field data. The correlation coefficient (R) value was 0.998 for training set, and in testing stage it was 0.99.
0

21
30


S.
Bahrami
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
Iran
saeed.bahrami@ut.ac.ir


F.
Doulati Ardejani
Mine Environment and Hydrogeology Research Laboratory, University of Tehran, Tehran, Iran
Iran
fdoulati@ut.ac.ir
Groundwater inflow
Mine Pit
Genetic Algorithm
Artificial Neural Network
Hybrid Model
1

Subsurface modeling of mud volcanoes, using density model and analysis of seismic velocity
http://jme.shahroodut.ac.ir/article_383.html
10.22044/jme.2015.383
1
Detection of subsurface structures by means of gravity method can be used to determine mass distribution and density contrast of rock units. This distribution could be detected by different geophysical methods, especially gravity method. However, gravity techniques have some drawbacks and can't be always successful in distinguishing subsurface structures. Performance of the gravity technique could be further improved by simultaneous combination and introducing additional information from other geophysical data. This study used existing relation between seismic and gravity methods to better clarify subsurface structures. This relationship relates mass distribution of the medium to velocity of wave propagation in that media. This method was applied on an area that consists of three mud volcanoes. After completion of the primary model by forward modeling, mass distribution and analysis of seismic velocity were provided on a 2D profile. Bouguer anomaly map of gravity data of the area was obtained and negative anomalies were identified. These negative anomalies could be related to the existence of mud volcanoes. A 2D seismic line was also acquired over the greatest mud volcano, as additional information for direct modeling. The Gardner equation was used for further velocity estimation by density values. This velocity model also compared with seismic velocity analysis for evaluation. The final results indicated that density modeling and the use of seismic velocity model increases the resolution of subsurface structures imaging. Separation of subsurface layers was implemented correctly in the velocity model resulting from gravity data and subsurface discontinuities of the area that become more obvious by this technique.
0

31
39


H.R
Baghzendani
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
hbaghzendani@yahoo.com


H.
Aghajani
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
haghajani@shahroodut.ac.ir


M.
Solimani
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
mehrdad_soleimani2005@yahoo.co.nz
Gardner Equation
Seismic Imaging
Velocity Analysis
Bouguer Anomaly
Mud Volcano
1

The impact of poor cementing casing damage: A numerical simulation study
http://jme.shahroodut.ac.ir/article_329.html
10.22044/jme.2014.329
1
A good knowledge of the parameters causing casing damage is critically important due to vital role of casing during the life of a well. Cement sheath, which fills in the gap between the casing and wellbore wall, has a profound effect on the resistance of the casing against applied loads. Most of the empirical equations proposed to estimate the collapse resistance of casing ignore the effects of the cement sheath on collapse resistance and rather assume uniform loading on the casing. This paper aims to use numerical modeling to show how a bad cementing job may lead to casing damage. Two separate cases were simulated where the differences between good and bad cementation on casing resistance were studied. In both cases, the same values of stresses were applied at the outer boundary of the models. The results revealed that a good cementing job can provide a perfect sheath against the tangential stress induced by farfield stresses and reduce the chance of casing to be damaged.
0

41
53


M.
Hemmatian
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
mr_hemtian@yahoo.com


B.
Tokhmchi
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
tokhmechi@alumni.ut.ac.ir


V.
Rasouli
Department of Petroleum Engineering, Curtin University of Technology, Perth, Australia
Australia
v.rasouli@curtin.edu.au


R.
Gholami
Department of Chemical and Petroleum Engineering, Curtin University of Technology, Sarawak, Malaysia
Malaysia
raoof.gholami@curtin.edu.my
Cementing Job
Casing damage
ABAQUS
Finite element
Southern part of Iran
1

Underground contour (UGC) mapping using potential field, well log and comparing with seismic interpretation in Lavarestan area
http://jme.shahroodut.ac.ir/article_382.html
10.22044/jme.2015.382
1
Coastal Fars gravimetry project in Fars province was carried out to find the buried salt domes and to determine characteristics of faults in this area. The Lavarestan structure was covered by 4203 gravimetry stations in a regular grid of 1000*250 m. Depth structural model of this anticline made in previous studies was based on geological evidences and structural geology measurements. In order to have a complete coverage of Lavarestan anticline, 4 profiles with appropriate intervals were selected on gravity data for further processing and interpretation. 2D inverse modeling was performed on these profiles using Encome Modelvision and Encome PA software. Geometrical and physical parameters of each layer were changed step by step and forward gravity calculations were repeated until we reached a desirable fitting between observed and calculated gravity anomaly. The results of 2D gravity modeling were focused on Lower Paleozoic and Kazerun (cap rock) top horizon, also the underground contour map was extracted from seismic data after interpretation. The results show appropriate correlation between the underground contour map of 2D gravity modeling and interpretation of seismic data.
0

55
62


M.
Fakhrerad
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
masoomefakhrerad@yahoo.com


A.
Nejati Kalateh
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
nejati@shahroodut.ac.ir


S.
Ghomi
MSc in Geophysics, National Iranian Oil Company Exploration Directorate
Iran
shgh_1976@yahoo.com
Inverse Modelling
Potential Field Data
Underground Contour Map
Encome Modelvision
Lavarestan
1

Comparison of golden section search method and imperialist competitive algorithm for optimization cutoff grade case study: Mine No. 1 of Golgohar
http://jme.shahroodut.ac.ir/article_364.html
10.22044/jme.2015.364
1
Optimization of the exploitation operation is one of the most important issues facing the mining engineers. Since several technical and economic parameters depend on the cutoff grade, optimization of this parameter is of particular importance. The aim of this optimization is to maximize the net present value (NPV). Since the objective function of this problem is nonlinear, three methods can be used to solve it: analytical, numerical, and metaheuristic. In this study, the Golden Section Search (GSS) method and the Imperialist Competitive Algorithm (ICA) are used to optimize the cutoff grade in mine No. 1 of the Golgohar iron mine. Then the results obtained are compared. Consecuently, the optimum cutoff grades using both methods are calculated between 40.5% to 47.5%. The NPVs obtained using the GSS method and ICA were 18487 and 18142 billion Rials, respectively. Thus the value for GSS was higher. The annual number of iterations in the GSS method was equal to 18, and that for ICA was less than 18. Also computing and programming the process of golden section search method were easier than those for ICA. Therefore, the GSS method studied in this work is of a higher priority.
0

63
71


S.
Mohammadi
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
sadjadmohammadi@shahroodut.ac.ir


M.
Ataei
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
ataei@shahroodut.ac.ir


R.
Khalokakaei
School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran
Iran
r_kakaie@shahroodut.ac.ir


E.
Pourzamani
Golgohar Iron Ore Mine, Sirjan, Iran
Iran
eshagh_pourzamani@yahoo.com
Optimization
Cutoff Grade
Golden Section Search (GSS) Method
Imperilist Competitive Algorithm (ICA)
Mine No. 1 of Golgohar
1

A boundary element analysis of crackpropagation mechanism of microcracks in rocklike specimens under a uniform normal tension
http://jme.shahroodut.ac.ir/article_362.html
10.22044/jme.2015.362
1
In this work, the mechanism for fracture of brittle substances such as rocks under a uniform normal tension is considered. The oriented straight microcracks are mostly created in all the polycrystalline materials resulting from the stress concentrations. The present work focuses on the interactions of the preexisting microcracks, which can grow and propagate within a rocklike specimen. The microcrack initiation and propagation in rocklike specimens is investigated using the Fortran Code TDDCRACK2D, which is a 2D displacement discontinuity method (DDM) for crack analysis, a boundary element computer code based on the linear elastic fracture mechanics (LEFM) theory. In the present work, a higher order DDM is used to implement special crack tip elements for estimation of the stress intensity factors (SIFs) and crack initiation angles for the wingcrack problems initiated at different angles from the original microcrack tips in an infinite specimen under a uniform tension.
0

73
93


H.
Haeri
Postdoctoral Fellow in Civil Engineering, Department of Civil Engineering, Sharif University of Technology, Member of National Elites Foundation, Tehran, Iran
Iran
hadihaeri@ymail.com


A. R
Khaloo
Head of Center of Excellence in Structure and Earthquake Engineering, Sharif University of Technology, Tehran, Iran
Iran


K.
Shahriar
Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
Iran
k.shahriar@aut.ac.ir


M.
Fatehi Marji
Faculty of Mining and Metallurgy, Institution of Engineering, Yazd University, Yazd, Iran
Iran
mohammad.fatehi@gmail.com


P.
Moaref vand
Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
Iran
parvizz@aut.ac.ir
MicroCracks
crack Interaction
crack Initiation
RockLike Specimens
Linear Elastic Fracture Mechanics (LEFM) Theory
Displacement Discontinuity Method (DDM)
Crack Coalescence
1

Extended finite element simulation of crack propagation in cracked Brazilian disc
http://jme.shahroodut.ac.ir/article_365.html
10.22044/jme.2015.365
1
The cracked Brazilian disc (CBD) specimen is widely used in order to determine modeI/II and mixedmode fracture toughness of a rock medium. In this study, the stress intensity factor (SIF) on the cracktip in this specimen is calculated for various geometrical crack conditions using the extendedfinite element method (XFEM). This method is based upon the finite element method (FEM). In this method, the crack is modeled independently from the mesh. The results obtained show that the dimensionless SIFs for the pure modes I and II increase with increase in the crack length but the angle in which pure modeII occurs decreases. For the mixedmode loading, with increase in the crack angle, NI value decreases, while NII value increases to a maximum value and then decreases. The results obtained from the crack propagation examinations show that the crack angle has an important effect on the crack initiation angle. The crack initiation angle increases with increase in the crack angle. When the crack angle is zero, then the crack is propagated along its initial direction, whereas in the mixedmode cases, the crack deviates from the initial direction, and propagates in a direction (approximately) parallel to the direction of maximum compressive load.
0

95
102


M.
Eftekhari
Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran
Iran
mosleh.eftekhari@mi.iut.ac.ir


A.
Baghbanan
Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran
Iran
bagh110@cc.iut.ac.ir


H.
Hashemolhosseini
Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran
Iran
hamidh@cc.iut.ac.ir
Cracked Brazilian Disc (CBD)
Stress Intensity Factor (SIF)
Extended Finite Element Method (XFEM)
MixedMode
1

Iron leaching from bauxite ore in hydrochloric acid using response surface methodology
http://jme.shahroodut.ac.ir/article_363.html
10.22044/jme.2015.363
1
In this work, hydrochloric acid is used to remove iron impurities in the bauxite ore contained in the diasporite mineral located in the Sari region. The bauxite ore was calcined at different temperatures and times, and then dissolved in a hydrochloric acid solution. After determining the optimum calcination conditions in 1 h at 900 °C, the response surface methodology (RSM) with four factors in five levels was employed in order to evaluate the effects of calcination temperature, calcination time, acid concentration, and leaching time on the iron leaching efficiency. A quadratic model is proposed using this methodology to correlate the leaching variables. The test results indicate that the model is consistent with the experimental data, and that the most important varriables involved are the acid concentration, leaching time, and squared term of calcination temperature (A2). The maximum iron recovery was 94.97%, and the Fe grade in the solids remained was 2.35% at the calcination temperature of 900 °C, a calcination time of 1 hour, and a leaching time of 2 h in hydrochloric acid (6 mM).
0

103
108


soghra
salehi
Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran
soghrasalehi90@gmail.com


M.
Noaparast
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
Iran


S.Z.
Shafaei
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Iran


A.
Amini
Head of Mineral Processing Division, Geology & Exploration Organization of Iran, Tehran, Iran.
Iran


A.
Heidarnia
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Iran
Optimization
Bauxite
Leaching
Iron Removal
Response Surface Methodology (RSM)
1

Kinetics of chemical leaching of chalcocite from lowgrade copper ore: sizedistribution behavior
http://jme.shahroodut.ac.ir/article_367.html
10.22044/jme.2015.367
1
Kinetics of the chemical leaching of chalcocite from a lowgrade copper ore in a ferric sulfate medium was investigated using the constrained least square optimization technique. The experiments were carried out for different particle sizes in both the reactor and column at constant Eh, pH, and temperature. The leaching rate increased with increase in the temperature. About 50% of the Cu recovery was obtained after 2 hours of reactor leaching at 75 o C using the 0.5 mm size fraction. Also about 50% of the Cu recovery was obtained after 60 days of column leaching for the +48 mm size fraction. For the fineparticle leaching, the first leaching step was fast, and the rate controlling step was diffusion through the liquid film. The results obtained show that as the leaching proceeds, the chemical reaction control appears. Finally, accumulation of the elemental sulfur layer in the solid product together with the jarosite precipitate causes change in the controlling mechanism to solid diffusion. For the coarseparticle leaching, diffusion through the solid product appeared from the initial days of leaching.
0

109
118


Hojat
Naderi
Mining and Metallurgical Engineering Department, Yazd University
Iran
naderi@yazd.ac.ir


Mahmoud
Abdollahy
Mining Engineering Department, Faculty of Engineering, Tarbiat Modares University
Iran
minmabd@modares.ac.ir


Navid
Mostoufi
School of Chemical Engineering, College of Engineering, University of Tehran
Iran
mostoufi@ut.ac.ir
Leaching
Chalcocite
Kinetic Study
Shrinking Core Model (SCM)
1

A model for predicting dynamic frothability index of dualfrother blends
http://jme.shahroodut.ac.ir/article_368.html
10.22044/jme.2015.368
1
Dynamic frothability index (DFI) is a characteristic of any frother which presents useful information about frothing properties. The objective of this study is to introduce a prediction model for estimation of DFI value of dualfrother blends. Model uses the DFIs of frothers and mole ratio of weaker frother to calculate the blend’s DFI. The model reliability was confirmed by comparing the experimental and predicted DFIs for different frother blends, including nbutanol/MIBC, ethanol/MIBC, isoamyl alcohol/MIBC, and PPG250/MIBC, with high determination coefficients (> 95%). A reference chart was also proposed for rapid estimation of DFI of frother mixture.
0

119
124


Hamid
Khoshdast
Department of Mining Engineering, Higher Education Complex of Zarand, Shahid Bahonar University of Kerman, Zarand, Iran
Iran
khoshdast_hamid@yahoo.com


Sasan
Mirshekari
Department of Mining Engineering, Higher Education Complex of Zarand, Shahid Bahonar University of Kerman, Zarand, Iran
Iran
sasan.mirshekari@yahoo.com


Arefeh
ZahabNazouri
Department of Mining Engineering, Higher Education Complex of Zarand, Shahid Bahonar University of Kerman, Zarand, Iran
Iran
arefeh.zahabnazouri@yahoo.com
frothers
frothability
frother blends
prediction model