Pub Date : 2022-04-30DOI: 10.32390/ksmer.2022.59.2.182
Yun-Ho Seo, Kwanho Kim, Kwang-suk You
{"title":"Detection of Boundary between Pulp and Froth in Flotation Process Using the Measurement of Electrical Resistance","authors":"Yun-Ho Seo, Kwanho Kim, Kwang-suk You","doi":"10.32390/ksmer.2022.59.2.182","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.2.182","url":null,"abstract":"","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74691592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.32390/ksmer.2022.59.2.161
Seok-Han Kim, Hee-Chan Noh, Sea-Eun Park, Ju-Won Oh, D. Min
Seismic anisotropy can be an obstacle when we interpret the seismic data from the seismic survey and monitoring in the sedimentary basins. In this study, we discuss the inaccuracy of the conventional isotropic monitoring algorithm in strong VTI media in causing reflectivity point differences because it offsets differences without considering anisotropic media. To mitigate its shortcomings, we propose a reverse-time migration algorithm for the 4D seismic data regarding vertically transverse isotropic (VTI) media and confirm that this proposed anisotropic monitoring algorithm based on elliptical anisotropy can properly correct the monitoring results. Finally, we improve the accuracy of reflectivity point depth by adapting the anisotropic equation in the pseudo-acoustic wave equation and controlling the offset distance. We compare the efficiency between elliptical anisotropy and VTI of the proposed monitoring algorithm using the synthetic monitoring data from a complex 3D geological model.
{"title":"Development of 4D Seismic Monitoring Tool Considering Anisotropic Media based on Pseudo-acoustic Wave Equation","authors":"Seok-Han Kim, Hee-Chan Noh, Sea-Eun Park, Ju-Won Oh, D. Min","doi":"10.32390/ksmer.2022.59.2.161","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.2.161","url":null,"abstract":"Seismic anisotropy can be an obstacle when we interpret the seismic data from the seismic survey and monitoring in the sedimentary basins. In this study, we discuss the inaccuracy of the conventional isotropic monitoring algorithm in strong VTI media in causing reflectivity point differences because it offsets differences without considering anisotropic media. To mitigate its shortcomings, we propose a reverse-time migration algorithm for the 4D seismic data regarding vertically transverse isotropic (VTI) media and confirm that this proposed anisotropic monitoring algorithm based on elliptical anisotropy can properly correct the monitoring results. Finally, we improve the accuracy of reflectivity point depth by adapting the anisotropic equation in the pseudo-acoustic wave equation and controlling the offset distance. We compare the efficiency between elliptical anisotropy and VTI of the proposed monitoring algorithm using the synthetic monitoring data from a complex 3D geological model.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75621401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.32390/ksmer.2022.59.2.218
R. Kim, Jaewook Lee, Junhyeok Park, S. Shin, I. Park, K. Chung, Jeong‐Hyun Yoo, S. Kim, Seong-Jun Cho, Hoseok Jeon, Han-Chun Chang
As the energy transition era begins, securing minerals is becoming critical, and countries worldwide are highly interested in “critical minerals,” which have a supply risk associated with them. Major countries have newly prepared or updated the list of critical minerals, where battery minerals such as lithium, nickel, cobalt, and graphite typically find a place. The demand for these four critical minerals is expected to increase 3 to 42 folds by 2040 in comparison to 2020 owing to the increasing demand for eco-friendly vehicles and energy storage systems. Recently, the supply risk of the four minerals has increased significantly, as commercial products manufactured using these minerals are generally produced in a specific country; furthermore, the prices of the minerals are constantly increasing. In this study, the current status of the production, markets, and relevant technologies of the four critical minerals was investigated, and some recommendations for securing them were presented.
{"title":"Current Status in the Mining Industry of Critical Minerals for Battery (Li, Ni, Co, and C) in the Energy Transition Era","authors":"R. Kim, Jaewook Lee, Junhyeok Park, S. Shin, I. Park, K. Chung, Jeong‐Hyun Yoo, S. Kim, Seong-Jun Cho, Hoseok Jeon, Han-Chun Chang","doi":"10.32390/ksmer.2022.59.2.218","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.2.218","url":null,"abstract":"As the energy transition era begins, securing minerals is becoming critical, and countries worldwide are highly interested in “critical minerals,” which have a supply risk associated with them. Major countries have newly prepared or updated the list of critical minerals, where battery minerals such as lithium, nickel, cobalt, and graphite typically find a place. The demand for these four critical minerals is expected to increase 3 to 42 folds by 2040 in comparison to 2020 owing to the increasing demand for eco-friendly vehicles and energy storage systems. Recently, the supply risk of the four minerals has increased significantly, as commercial products manufactured using these minerals are generally produced in a specific country; furthermore, the prices of the minerals are constantly increasing. In this study, the current status of the production, markets, and relevant technologies of the four critical minerals was investigated, and some recommendations for securing them were presented.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91549100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.32390/ksmer.2022.59.2.127
Jeong-Yun Jang, Sun Joon Kim
This study explored the effects of blending nano iron (III) oxides (NIO) with coffee grounds (CG) in a pyrolytic process under a CO 2 environment on the generation of syngas (H 2 and CO) and biochar properties regarding the removal of Cr(VI) from aqueous solutions. CG and NIO were physically mixed; CG was mass maintained at 1 g while NIO was added. Based on the mass ratio, the resulting solution was named NICG1(NIO/CG ratio=1:1). Compared with the generation amounts of syngas (0.37 mole% H 2 & 0.28 mole% CO) at 650°C from single pyrolysis of CG, co-pyrolysis with NIO-based additives resulted in increased production of syngas, with the measured concentrations of H 2 and CO reaching 0.99 mole% and 0.86 mole% at the same temperature, respectively. During the pH effect experiments, NICG1 demonstrated the highest removal efficiency under acidic conditions with pH = 2. Adsorption kinetic experiments demonstrated that the pseudo-second-order rate model was suitable for assessing the removal of Cr(VI) by NICG1. Furthermore, the removal of Cr(VI) using NICG1 fitted well with the Freundlich isothernm adsorption model (R 2 = 0.9807). In conclusion, co-pyrolysis of blending nano iron(III) oxide and coffee grounds can be considered an efficient resource for simultaneously producing syngas (H 2 and CO) as a fuel (energy resource) and metal-biochar as an adsorbent.
{"title":"A Study on Preparation of Nano Iron Oxides-Based Metal Biochar Using Co-Pyrolysis in a CO2 Environment and Adsorption of Cr(VI)","authors":"Jeong-Yun Jang, Sun Joon Kim","doi":"10.32390/ksmer.2022.59.2.127","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.2.127","url":null,"abstract":"This study explored the effects of blending nano iron (III) oxides (NIO) with coffee grounds (CG) in a pyrolytic process under a CO 2 environment on the generation of syngas (H 2 and CO) and biochar properties regarding the removal of Cr(VI) from aqueous solutions. CG and NIO were physically mixed; CG was mass maintained at 1 g while NIO was added. Based on the mass ratio, the resulting solution was named NICG1(NIO/CG ratio=1:1). Compared with the generation amounts of syngas (0.37 mole% H 2 & 0.28 mole% CO) at 650°C from single pyrolysis of CG, co-pyrolysis with NIO-based additives resulted in increased production of syngas, with the measured concentrations of H 2 and CO reaching 0.99 mole% and 0.86 mole% at the same temperature, respectively. During the pH effect experiments, NICG1 demonstrated the highest removal efficiency under acidic conditions with pH = 2. Adsorption kinetic experiments demonstrated that the pseudo-second-order rate model was suitable for assessing the removal of Cr(VI) by NICG1. Furthermore, the removal of Cr(VI) using NICG1 fitted well with the Freundlich isothernm adsorption model (R 2 = 0.9807). In conclusion, co-pyrolysis of blending nano iron(III) oxide and coffee grounds can be considered an efficient resource for simultaneously producing syngas (H 2 and CO) as a fuel (energy resource) and metal-biochar as an adsorbent.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78607349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.32390/ksmer.2022.59.2.148
J. Jo, W. Ha
The construction of an accurate velocity model is one of the most important tasks in seismic data processing for hydrocarbon exploration. Because deep neural networks have garnered significant attention in the field of geophysics recently, studies have been performed to predict velocity models using regular convolutional neural networks. Herein, we propose a neural network with depthwise separable convolutional layers and an encoder – decoder structure to construct a velocity model. This network is trained using a supervised learning approach, and we predict P-wave velocity models from time-domain wavefields. In this network structure, depthwise separable convolutions perform spatial-oriented convolutions independently for each input channel. These depthwise separable convolutions can improve network performance while significantly reducing the number of model parameters as compared with regular convolutions. Synthetic velocity models generated for training contain various geological features, including folds, faults, and salt-dome structures. We compare a network with depthwise separable convolutions and a network with regular convolutions based on the same training conditions and hyperparameters. Experiments demonstrate that the network with depthwise separable convolutions is more efficient than the network with regular convolutions for constructing a seismic velocity model.
{"title":"Seismic Velocity Modeling Building Using Depthwise Separable Convolutional Neural Network","authors":"J. Jo, W. Ha","doi":"10.32390/ksmer.2022.59.2.148","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.2.148","url":null,"abstract":"The construction of an accurate velocity model is one of the most important tasks in seismic data processing for hydrocarbon exploration. Because deep neural networks have garnered significant attention in the field of geophysics recently, studies have been performed to predict velocity models using regular convolutional neural networks. Herein, we propose a neural network with depthwise separable convolutional layers and an encoder – decoder structure to construct a velocity model. This network is trained using a supervised learning approach, and we predict P-wave velocity models from time-domain wavefields. In this network structure, depthwise separable convolutions perform spatial-oriented convolutions independently for each input channel. These depthwise separable convolutions can improve network performance while significantly reducing the number of model parameters as compared with regular convolutions. Synthetic velocity models generated for training contain various geological features, including folds, faults, and salt-dome structures. We compare a network with depthwise separable convolutions and a network with regular convolutions based on the same training conditions and hyperparameters. Experiments demonstrate that the network with depthwise separable convolutions is more efficient than the network with regular convolutions for constructing a seismic velocity model.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74307136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.32390/ksmer.2022.59.2.205
Inseok Joung, Ahyun Cho, Hanna Jang, Bitnarae Kim, C. Cho, M. Nam
In the seismic interferometry (SI) method, cross correlation of seismic recordings at two receivers is performed to retrieve an estimate of the seismic trace at one of the receivers while the other acts as a so-called “virtual source” to obtain subsurface information. In this article, basic SI theories are described, and past cases in which SI methods were used are analyzed. SI, which mainly uses cross correlation, can be performed using deconvolution or coherence, and each SI method can be applied to seismic reflection, refraction, and surface wave survey data. Because the virtual source can be positioned at all receiver locations and active sources are not necessary, SI is an extremely effective monitoring technique. SI has been applied to such fields as geological imaging, fault detection, and structural health.
{"title":"Seismic Interferometry: Research Trends and Technological Introduction","authors":"Inseok Joung, Ahyun Cho, Hanna Jang, Bitnarae Kim, C. Cho, M. Nam","doi":"10.32390/ksmer.2022.59.2.205","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.2.205","url":null,"abstract":"In the seismic interferometry (SI) method, cross correlation of seismic recordings at two receivers is performed to retrieve an estimate of the seismic trace at one of the receivers while the other acts as a so-called “virtual source” to obtain subsurface information. In this article, basic SI theories are described, and past cases in which SI methods were used are analyzed. SI, which mainly uses cross correlation, can be performed using deconvolution or coherence, and each SI method can be applied to seismic reflection, refraction, and surface wave survey data. Because the virtual source can be positioned at all receiver locations and active sources are not necessary, SI is an extremely effective monitoring technique. SI has been applied to such fields as geological imaging, fault detection, and structural health.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88948900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-28DOI: 10.32390/ksmer.2022.59.1.091
Jihwan Kim, Jong-Seop Lee
In this study, nano-smart fluids available in high-temperature and high-salinity reservoirs were synthesized with surface-modified nanoparticles and potential determining ion(PDI)-controlled seawater to maximize oil production in carbonate reservoirs. Phase behavior observation and particle size analysis were also carried out to evaluate the dispersion stability of synthesized nano-smart fluids. Seawater was prepared based on the seawater composition of the Persian Gulf region and PDIs(K+, Mg2+, and SO4 2–) were added to the seawater. In addition, 0.05-3 wt% of surface-modified SiO2 nanoparticles were dispersed in the smart water prepared as aforementioned. As a result of the dispersion stability test, it was confirmed that stable fluids without agglomeration and precipitation could be synthesized at the condition with room temperature of 25°C and high temperature of 80°C as well as in the salinity range of seawater when the nanoparticle concentration was 0.5 wt% or more.
{"title":"Synthesis and Dispersion Stability Test of Seawater-based Nano-Smart Fluids","authors":"Jihwan Kim, Jong-Seop Lee","doi":"10.32390/ksmer.2022.59.1.091","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.1.091","url":null,"abstract":"In this study, nano-smart fluids available in high-temperature and high-salinity reservoirs were synthesized with surface-modified nanoparticles and potential determining ion(PDI)-controlled seawater to maximize oil production in carbonate reservoirs. Phase behavior observation and particle size analysis were also carried out to evaluate the dispersion stability of synthesized nano-smart fluids. Seawater was prepared based on the seawater composition of the Persian Gulf region and PDIs(K+, Mg2+, and SO4 2–) were added to the seawater. In addition, 0.05-3 wt% of surface-modified SiO2 nanoparticles were dispersed in the smart water prepared as aforementioned. As a result of the dispersion stability test, it was confirmed that stable fluids without agglomeration and precipitation could be synthesized at the condition with room temperature of 25°C and high temperature of 80°C as well as in the salinity range of seawater when the nanoparticle concentration was 0.5 wt% or more.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78514609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Liquid organic hydrogen carrier (LOHC) has been attracting attention as a hydrogen storage technology. Among the LOHC materials, we explore fluorine (F) and amine (NH2) functional group substituted 1,2-BN cyclohexane-based hydrogen storage materials with improved reversibility of dehydrogenation-hydrogenation reaction. Density functional theory (DFT) calculations were conducted by using Gaussian 16 software to calculate dehydrogenation reaction enthalpy (∆) and reaction free energy (∆). F-BN-cyclohexane and NH2-BN-cyclohexane show ∆ of ‒4.10 and ‒5.38 kJ/mol, respectively, whereas 1,2-BN cyclohexane shows ∆ of ‒5.71 kJ/mol. Because the reversibility of dehydrogenation-hydrogenation reactions is excellent as the ∆ value is close to zero, the functional group substitution enhanced the reversibility of the dehydrogenation-hydrogenation reaction. This DFT study not only presents a systematic methodology to evaluate the dehydrogenation-hydrogenation reaction reversibility that can be improved by substituting F and NH2 functional groups in existing BN-cyclohexane, but also provides the fundamental mechanisms of dehydrogenation of Fand NH2-BN-cyclohexane.
{"title":"Elucidation of the Effect of Functional Group Substitution of BN-cyclohexane for Renewable Energy Hydrogen Storage: Density Functional Theory Approach","authors":"Govindaraja Senthamaraikannan Thillai, Dong-Hee Lim","doi":"10.32390/ksmer.2022.59.1.021","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.1.021","url":null,"abstract":"Liquid organic hydrogen carrier (LOHC) has been attracting attention as a hydrogen storage technology. Among the LOHC materials, we explore fluorine (F) and amine (NH2) functional group substituted 1,2-BN cyclohexane-based hydrogen storage materials with improved reversibility of dehydrogenation-hydrogenation reaction. Density functional theory (DFT) calculations were conducted by using Gaussian 16 software to calculate dehydrogenation reaction enthalpy (∆) and reaction free energy (∆). F-BN-cyclohexane and NH2-BN-cyclohexane show ∆ of ‒4.10 and ‒5.38 kJ/mol, respectively, whereas 1,2-BN cyclohexane shows ∆ of ‒5.71 kJ/mol. Because the reversibility of dehydrogenation-hydrogenation reactions is excellent as the ∆ value is close to zero, the functional group substitution enhanced the reversibility of the dehydrogenation-hydrogenation reaction. This DFT study not only presents a systematic methodology to evaluate the dehydrogenation-hydrogenation reaction reversibility that can be improved by substituting F and NH2 functional groups in existing BN-cyclohexane, but also provides the fundamental mechanisms of dehydrogenation of Fand NH2-BN-cyclohexane.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82251867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-28DOI: 10.32390/ksmer.2022.59.1.001
D. Jeong, J. Cha
The purpose of this study was to treat heavy metals from contaminated soil simulant around abandoned mines by using physical separation techniques. As a result of magnetic separation, the average removal efficiency was shown as lead 53%, zinc 67%, arsenic 66%, and cadmium 71% and volume of highly contaminated soil was reduced by approximately 16% in the condition of more than 5,000 gauss. When the corona discharging electrostatic separation applied, the highest removal efficiency according to supplied voltages was observed as 38% for lead at –35 kV, 45% and 48% for zinc and cadmium at –30 kV, respectively and 38% for arsenic at –25 kV conditions. However, considering the cost and the volume of contaminated soil to be treated later, it was considered that the –10 kV condition was optimal.
{"title":"Physical Separation of Heavy Metals in Contaminated Soil Simulant near Abandoned Metal Mines","authors":"D. Jeong, J. Cha","doi":"10.32390/ksmer.2022.59.1.001","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.1.001","url":null,"abstract":"The purpose of this study was to treat heavy metals from contaminated soil simulant around abandoned mines by using physical separation techniques. As a result of magnetic separation, the average removal efficiency was shown as lead 53%, zinc 67%, arsenic 66%, and cadmium 71% and volume of highly contaminated soil was reduced by approximately 16% in the condition of more than 5,000 gauss. When the corona discharging electrostatic separation applied, the highest removal efficiency according to supplied voltages was observed as 38% for lead at –35 kV, 45% and 48% for zinc and cadmium at –30 kV, respectively and 38% for arsenic at –25 kV conditions. However, considering the cost and the volume of contaminated soil to be treated later, it was considered that the –10 kV condition was optimal.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81526255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-28DOI: 10.32390/ksmer.2022.59.1.010
Donghui Kim, Gyoungman Kim, H. Baek
In this study, point-cloud data were obtained using a laser scanner for an underground limestone mine. A total of 581 discontinuities were extracted and statistically treated using the obtained point-cloud data, and a discrete fracture network was simulated and applied to the numerical analysis model. The stability was evaluated for two pillars located in large underground openings using the numerical analysis model. The evaluation results based on the safety factor and displacement showed that the safety factor tended to decrease as it progressed from the center of the pillar to the side wall. However, the pillars showed a minimum safety factor of 1.0 or higher. For the displacement, a maximum displacement of 9 mm occurred in a part of the pillar side wall. Nevertheless, the stability of the pillar was achieved, as it was insignificant compared to the size of the pillar.
{"title":"Stability Analysis of Pillar in Underground Limestone Mine Using 3D Scanning Techniques","authors":"Donghui Kim, Gyoungman Kim, H. Baek","doi":"10.32390/ksmer.2022.59.1.010","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.1.010","url":null,"abstract":"In this study, point-cloud data were obtained using a laser scanner for an underground limestone mine. A total of 581 discontinuities were extracted and statistically treated using the obtained point-cloud data, and a discrete fracture network was simulated and applied to the numerical analysis model. The stability was evaluated for two pillars located in large underground openings using the numerical analysis model. The evaluation results based on the safety factor and displacement showed that the safety factor tended to decrease as it progressed from the center of the pillar to the side wall. However, the pillars showed a minimum safety factor of 1.0 or higher. For the displacement, a maximum displacement of 9 mm occurred in a part of the pillar side wall. Nevertheless, the stability of the pillar was achieved, as it was insignificant compared to the size of the pillar.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81879153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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