2018-05-22T00:59:16Z
http://jac.ut.ac.ir/?_action=export&rf=summon&issue=19
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
تأثیر شرایط مختلف فلوتاسیون بر بازیابی کانههای اکسیده سرب و روی معدن گوشفیل
Amir
Kheyrabadi
Mohammad
Noparast
Soheila
Aslani
Ali
Ghorbani
The lead and zinc sample from Goosh-e-Fill mine with 2.4%Pb, 8.0%Zn and 10.0% Fe, was used in different flotation experiments to recover lead and zinc minerals. The valuable minerals in prepared sample were oxidized and the results showed that the lead minerals floated at pH= 9.5 and 11.5, probably it can be due to existence of two or more types of lead minerals. The best result was achieved for the particle finer than 100 micron. In zinc minerals flotation, the results of various collectors consumption showed that the zinc recovery was low and the major part of zinc was not recovered. In the best condition, with ARMAC-T as collector, the zinc recovery was 27% by grade of 22% Zn. Therefore flotation isn’t suitable process for zinc recovery but the lead recovery reached to 70% with more than 40% Pb grade.
Gooshfil Mine
Cerosite
Smithsonite
Flotation
2013
04
28
249
257
http://jac.ut.ac.ir/pdf_124_8816a1c5e08d3788d6565e4d29a5226f.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
شبیهسازی مدار خردایش کارخانه فسفات اسفوردی توسط نرمافزار BMCS
Ziaeddin
Pourkarimi
Ali
Dehghani Ahmadabadi
Mohammad
Noparast
Seyyed Ziaeddin
Shafaei
Mohammad Reza
Soltani
Simulation of grinding circuits has being performed from 30 years ago and is also to be more complete and powerful approach with improvement of mathematical models which simulate various processing units/machines. The modeling and simulation of various mineral processing circuits are presently performed. In order to simulate the present grinding circuits of Esfordi Phosphate processing plant, at first the breakage and selection functions of its ball mill’s feed sample were determined. According to obtained results, maximum value of selection function (selectivity of particles to be broken), was measured which was equal to 0.011886 min.-1 for 600 microns size fraction (d80 of ball mill feed at primary design). Then by using NGOTC software and measured residency times of particles in ball mill (average residency time in ball mill) which was 2.07 minutes (maximum time was 20 minutes), the selection function of ore was calculated in industrial scale, and accordingly the effect of using balls with various diameters were estimated. The results of selection function indicated that its maximum value reaches to 2.5238 min.-1, when balls with 25mm diameters to be used in ball mill. Finally by using BMCS software (ball mill circuit simulator), primary design data, and results obtained from various experiments, the circuit simulation was carried out. This procedure yielded optimized values of some required parameters such as size distribution and solid percent of ball mill product, and then the results were compared with current circuit values. However the estimated results and their vicinity to current ones proved the fact of estimation accuracy.
Grinding Circuit
Breakage Function
Selection Function
Esfordi Phosphate
Simulation
Ball Mill
2013
04
28
239
248
http://jac.ut.ac.ir/pdf_125_0f9ba438883f401b0f18d6f276d62a00.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
پهنهبندی خطرات ژئوتکنیکی لرزهای در نوار ساحلی دریای خزر
Solmaz
Babakan
Mehdi
Zare
Hossein
Memarian
Natural hazards are among destructive agents that annually take thousands of lives and impose devastating damages in Iran. Spotting such a high risk areas can help reducing the amount of their probable risk. A 1:500000 liquefaction and landslide hazard zonation map developed for the southern shoreline of the Caspian Sea. This geotechnical hazard map divides the study area to 15 hazard classes (five and three hazard classes for liquefaction and landslide respectively). Removing negative factors affects the landslide hazard map, using effect analysis and reevaluating the accuracy of hazard map, increased the map accuracy by 93.5%. Based on the compiled geotechnical hazard map, about 30% of the study area is prone to low sliding and high liquefaction hazards.
Risk
Geotechnical Hazard Map
Landslide
Hazard
Caspian Sea
Liquefaction
Zonation Mapping
Iran
2013
04
28
229
238
http://jac.ut.ac.ir/pdf_126_97729e3f4c7395ae37bf44d373027c97.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
بررسی عملکرد هیدروسیکلونهای اولیه و ثانویه مدار خردایش کارخانه فسفات اسفوردی
Ali
Dehghani Ahmadabadi
Ziaeddin
Pourkarimi
Mohammad
Noparast
Due to the importance of material classification issue in grinding circuits, the performance of primary and secondary hydrocyclones in grinding circuit of Esfordi phosphate plant was investigated by sampling within 7 days from feed, overflow, and underflow of these hydrocyclones. At first, the d80 of above streams samples were calculated by the screening analysis. The results showed that the average values of d80 of feed, overflow and underflow of primary hydrocyclone were respectively 238.7, 236.5 and 100.9 microns, and 100.9 and 94.1 microns for the feed and underflow of secondary hydrocyclone. For the primary hydrocyclone, with plotting distribution curves, its cut-points, the actual and corrected cut-points were calculated which were 35 and 45 microns, respectively; whereas they were equal to 100 microns according to the design documents. However based on the undesirable performance of primary hydrocyclone, it was tried to investigate on its performance using simulation software. The results indicated 80 microns cut-point and 192.30 kpa of pressure drop in particle classification. In addition, the amount of circulating load obtained 931.84% (in primary mill design, this amount was equal to 150%), and high feed rate to hydrocyclone was one the major reasons for this high circulating load. To solve this problem, it was considered one more hydrocyclone could be added to this circuit in the form of parallel and series, and results were studied using BMCS software. The results of this criterion of adding a parallel hydrocyclone, showed 86 microns of cut-point with 62.91 kpa of pressure drop which were suitable for the circuit.
Phosphate
Esfordi
Simulation
Hydrocyclone
2013
04
28
259
269
http://jac.ut.ac.ir/pdf_127_90aa16ffd0de693acb19c455f40a0a68.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
استفاده از شبکه عصبی مصنوعی در برآورد حجم در جای هیدروکربن
Ali Akbar
Rahimi Bahar
Accurate estimation of hydrocarbon volume in a reservoir is important due to future development and investment on that reservoir. Estimation of Oil and Gas reservoirs continues from exploration to end of reservoir time life and is usual upstream engineer’s involvements. In this study we tried to make reservoir properties models (porosity and water saturation) and estimate reservoir volume hydrocarbon based on artificial neural network tools, petrophysical and geophysical data. So with gridding the reserve, separate it to same volume cells. Based on porosity and lithology variation in wells, constructed petrophysical zonation in each well and by correlation these zones in wells reservoir has been zoned. Porosity, water saturation and 3D seismic data have been averaged in cells and assigned one value for each cell. At final a three layer perceptron neural network by back propagation error algorithm has been designed and trained by using cells which had petrophysical data; then these parameters have been estimated in other cells and original hydrocarbon in place calculated and compared with results from Mont Carlo method.
In place volume
Porosity
Monte Carlo method
Estimation
Reservoir modeling
Water saturation
Neural Network
2013
04
28
271
281
http://jac.ut.ac.ir/pdf_128_0dfcc3356177fa16a94a80d52e7921ff.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
طبقه بندی و شناسایی رخسارههای زمینشناسی با استفاده از دادههای لرزه نگاری و شبکههای عصبی رقابتی
Shabnam
Shahbazi
Abdorrahim
Javaherian
Mojtaba
Mohammadoo Khorasani
Geological facies interpretation is essential for reservoir studying. The method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. Use of neural networks as classifiers is increasing in different sciences like seismic. They are computer efficient and ideal for patterns identification. They can simply learn new algorithms and handle the nonlinearity of seismic data. They are often reliable with noisy data or atypical environments. In this paper, an approach is presented based on competitive neural network for classification and identification of the reservoir facies that uses seismic trace shape. The competitive networks can be applied on discrete facies. Its unsupervised methods are independent on the wells data and other auxiliary information. Its supervised methods are independent on the wells location. This approach can be performed in two ways. In first way, the seismic facies are classified based on entirely on the characteristics of the seismic responses, without requiring the use of any well information. It is implemented by a single layer competitive unsupervised neural network, called Kohonen self organized neural network. In the second way, automatic identification and labeling of the facies is performed by the use of seismic responses and wells data. It is implemented by a two layer competitive supervised neural network, called Learning Vector Quantizer (LVQ) neural network. The results of both analyses on artificial seismic section and actual seismic section of the sixth zone of Asmary formation in Shadegan oilfield showed reservoir facies distribution and predicted heterogeneity of their characteristics.
Unsupervised Analysis
Facies Classification
Competitive Neural Network
Supervised Analysis
Lateral Facies Changes
2013
04
28
283
296
http://jac.ut.ac.ir/pdf_129_d47251785e828513b70a7ccd0818d08d.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
حلیل حسّاسیّت عوامل مؤثّر بر مدلسازی کانسار مس سونگون
Ahmad Reza
Sayadi
Mehrdad
heydari
Ebrahim
Ajdari Shabestari
Grade Model
Modeling Challenges
Geometrical Model
Copper
Search Parameters
2013
04
28
297
309
http://jac.ut.ac.ir/pdf_130_538d9816b8b09ec332996e8458d991e6.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
تحلیل پایداری دیواره غربی معدن مس سرچشمه با استفاده از روش المان مجزای سهبعدی
Mehdi
Mousavi
Ali Reza
Yarahmadi Bafghi
Hamid Reza
Bakhshi
In the past, rock slope stability analysis were performed either graphically or using a hand-held calculator, but nowadays there are variety of slope stability analysis which can be used according to the field condition and potential failure mode. In 2-D analysis, effect of convex and concave walls are neglected, however concave slopes are believed to be more stable than straight walls due to the lateral restraint provided by material on either sides of a potential failure in a concave slope. In open pit mines with general tendency to increase the wall angle, this point is really important. In this study slope stability of western wall of Sarcheshmeh mine in its extension plan is analyzed using 3-D distinct element method (3DEC). For stability analysis, west wall is divided into three structural regions according to the rock type. Rock and joint strength properties are determined from previous and new laboratory tests. Also in Andesite (dominant rock of the west wall) geometrical properties of joint sets are determined. Consequently Slide5.0 software is used to identify rock mass stability and effect of disturbance factor, underground water, horizontal seismic acceleration and rock type on wall stability. In the next step, the mine geometry is modeled in 3DEC and wall stability is investigated in different locations. Results obtained from 3DEC prove failure of several benches at the toe. Also results show drainage may improve stability in some zones but there would still be smaller failures in the toe.
3DEC
Sarcheshmeh Copper Mine
Slope Stability
Numerical Modeling
2013
04
28
311
323
http://jac.ut.ac.ir/pdf_131_c606c6103ed07431153819870b385906.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
(بهکارگیری رهیافت نیومارک برای تحلیل آسیبپذیری و ریسک زمینلرزه در معادن روباز (مطالعه موردی: معدن مس سرچشمه
Majid
Meybodian
Hossein
Memarian
Mehdi
Zare
Sarcheshmeh copper mine, with the final reserves of 828 million tons of sulfur ore and average grade of 0.74%, is known to be the largest open pit of Iran and most probably the second largest copper mine in the world. This mine is located in the seismotectonic zone of Central-Iran, and 23 Km away from the 150 Km long Rafsanjan active fault.In this study the vulnerability of the west wall of the mine, which is more susceptible to sliding, is determined. First, the seismic hazard probability was calculated by defining seismic sources and determination of seismicity parameters. Then the most effective source in seismic hazard is determined by seismic hazard deaggregation. The Newmark displacement of the west wall is calculated by the critical acceleration and Arias intensity. Finally, the mine vulnerability and seismic risk for this site, along with the probable earthquakes, is calculated. The seismic risk of this site is estimated to be 0.07 of the overall value of the mine.
Iran
Seismic Risk
Open Pit
Newmark Aapproach
Rafsanjan Fault
Sarcheshmeh Copper Mine
Vulnerabilit
2013
04
28
325
336
http://jac.ut.ac.ir/pdf_132_d0a276f6dc9a12c4fc8e34969d9426cf.html
Journal of Algorithms and Computation
JAC
2776-2476
2776-2476
2009
43
3
قابلیت توفهای زئولیتدار استان مرکزی به عنوان پوزولان طبیعی مورد استفاده در صنعت سیمان
Ayyoub
Narak Nejad
Soheila
Aslani
Abbas
Bahroudi
Morteza
Khalatbari
Natural Pozzolans
Cement
Zeolite
XRF
XRD
Compressive Strength
2013
04
28
337
345
http://jac.ut.ac.ir/pdf_133_b89edc7f447ca4bd0d5572c37db99733.html