Pub Date : 2022-10-31DOI: 10.32390/ksmer.2022.59.5.450
Gyesoon Park, S. Shin, In Seok Joung, M. Nam
Securing mineral resources is important for a country’s continuous development. As most shallow orebodies have already been mined, deep orebodies are targets for mineral exploration. It is difficult to predict the geometries of deep orebodies using geological and drilling data. Geophysical surveys provide three-dimensional (3D) physical models for the interpretation of deep underground structures. To improve interpretation accuracy, it is necessary to effectively integrate not only geophysical exploration but also various complex geological information. We propose a mineral exploration method based on a digital twin. Various types of complex geological information, including geophysical data, are integrated and built into the digital twin. Based on this, it is possible to enhance the reliability of interpretation and perform accurate simulations of exploration and drilling. With the use of a digital twin, we can expect that a stable integrated analysis can be performed to minimize the uncertainty of each exploration and increase the exploration success rate.
{"title":"The Role of Geophysics in the Security of Critical Minerals","authors":"Gyesoon Park, S. Shin, In Seok Joung, M. Nam","doi":"10.32390/ksmer.2022.59.5.450","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.5.450","url":null,"abstract":"Securing mineral resources is important for a country’s continuous development. As most shallow orebodies have already been mined, deep orebodies are targets for mineral exploration. It is difficult to predict the geometries of deep orebodies using geological and drilling data. Geophysical surveys provide three-dimensional (3D) physical models for the interpretation of deep underground structures. To improve interpretation accuracy, it is necessary to effectively integrate not only geophysical exploration but also various complex geological information. We propose a mineral exploration method based on a digital twin. Various types of complex geological information, including geophysical data, are integrated and built into the digital twin. Based on this, it is possible to enhance the reliability of interpretation and perform accurate simulations of exploration and drilling. With the use of a digital twin, we can expect that a stable integrated analysis can be performed to minimize the uncertainty of each exploration and increase the exploration success rate.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82213066","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 : 2022-10-31DOI: 10.32390/ksmer.2022.59.5.562
W. Lee, Young Min Kim
In this study, we examined the performance of CO 2 injection techniques based on simulations in a conceptual shale reservoir to investigate the efficiency of CO 2 storage and enhanced gas recovery (CS-EGR). The developed conceptual model considers major shale reservoir characteristics in which the adsorption properties are the focus as a control parameter. For simple depletion cases, the production performance was directly dependent on the adsorption properties. However, in the CO 2 injection cases, the adsorption and desorption processes are more complicated and we did not identify remarkable increases in the recovery factor, but we observed a weak relationship with the Langmuir volume. The results of all CO 2 injection cases showed that the storage efficiency was more than 80%, indicating that shale reservoirs are a promising target for CO 2 storage. To increase the recovery factor and improve the optimum control of CS-EGR, other major shale reservoir properties and operational parameters should be simultaneously integrated.
{"title":"Simulation of CO2 Storage and Enhanced Gas Recovery in Shale Gas Reservoirs Considering Adsorption Characteristics","authors":"W. Lee, Young Min Kim","doi":"10.32390/ksmer.2022.59.5.562","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.5.562","url":null,"abstract":"In this study, we examined the performance of CO 2 injection techniques based on simulations in a conceptual shale reservoir to investigate the efficiency of CO 2 storage and enhanced gas recovery (CS-EGR). The developed conceptual model considers major shale reservoir characteristics in which the adsorption properties are the focus as a control parameter. For simple depletion cases, the production performance was directly dependent on the adsorption properties. However, in the CO 2 injection cases, the adsorption and desorption processes are more complicated and we did not identify remarkable increases in the recovery factor, but we observed a weak relationship with the Langmuir volume. The results of all CO 2 injection cases showed that the storage efficiency was more than 80%, indicating that shale reservoirs are a promising target for CO 2 storage. To increase the recovery factor and improve the optimum control of CS-EGR, other major shale reservoir properties and operational parameters should be simultaneously integrated.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76634870","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 : 2022-10-31DOI: 10.32390/ksmer.2022.59.5.543
G. Park, Seoyoon Kwon, Minsoo Ji, Sujin Lee, Suin Choi, M. Kim, Baehyun Min
This study proposed a deep-learning-based approach that generates synthetic high-resolution log data from original-resolution log data for accurate reservoir characterization, where the resolution of the synthetic data is comparable to that of core data. The reliability of the proposed approach was tested with application to the Volve oil field in Norway using three deep-learning algorithms (i.e., deep neural network, convolutional neural network, and long short-term memory). These deep-learning algorithms were employed to generate high-resolution sonic log data from other log-type data. The overall performance of each algorithm was acceptable. In particular, the long short-term memory algorithm yields a coefficient of determination greater than 0.9 when the high-to-original-resolution ratios are two, five, and ten. We anticipate that the proposed model can be used to derive logging-based reservoir parameters with a resolution that is comparable to that of core-based reservoir parameters.
{"title":"Generation of High-Resolution Well Log Data by Using a Deep-Learning Algorithm","authors":"G. Park, Seoyoon Kwon, Minsoo Ji, Sujin Lee, Suin Choi, M. Kim, Baehyun Min","doi":"10.32390/ksmer.2022.59.5.543","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.5.543","url":null,"abstract":"This study proposed a deep-learning-based approach that generates synthetic high-resolution log data from original-resolution log data for accurate reservoir characterization, where the resolution of the synthetic data is comparable to that of core data. The reliability of the proposed approach was tested with application to the Volve oil field in Norway using three deep-learning algorithms (i.e., deep neural network, convolutional neural network, and long short-term memory). These deep-learning algorithms were employed to generate high-resolution sonic log data from other log-type data. The overall performance of each algorithm was acceptable. In particular, the long short-term memory algorithm yields a coefficient of determination greater than 0.9 when the high-to-original-resolution ratios are two, five, and ten. We anticipate that the proposed model can be used to derive logging-based reservoir parameters with a resolution that is comparable to that of core-based reservoir parameters.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83846524","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 : 2022-08-31DOI: 10.32390/ksmer.2022.59.4.321
Jong-Un Lee
A dataset of chemical composition of groundwater in Korea including that in vein-type gold mines was compiled through literature review. Groundwaters were grouped, according to location, into ‘adit groundwater’ in the immediate vicinity of gold veins, ‘surrounding groundwater’ spatially separated from the veins in gold mines, ‘normal groundwater’ from non-mineralized granitic rocks, and ‘deep groundwater’ from a depth of 500 m or deeper. ANOVA indicated that adit groundwater showed statistically higher values of TDS, Ca, and SO 4 than the other groups. High SO 4 in the adit groundwater is likely due to sulfide minerals, and high Ca may be attributed to the occurrence of calcite as a fracture-filling mineral in the mines. Classification functions derived from discriminant analysis could distinguish between adit, surrounding, and normal groundwaters with a hit ratio > 92%. The classification functions may serve as an indicator for the exploration of unknown vein-type gold deposits through chemical analysis of the groundwater.
{"title":"Statistical Characterization of Groundwater Geochemistry in Vein-Type Gold Mines in Korea","authors":"Jong-Un Lee","doi":"10.32390/ksmer.2022.59.4.321","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.4.321","url":null,"abstract":"A dataset of chemical composition of groundwater in Korea including that in vein-type gold mines was compiled through literature review. Groundwaters were grouped, according to location, into ‘adit groundwater’ in the immediate vicinity of gold veins, ‘surrounding groundwater’ spatially separated from the veins in gold mines, ‘normal groundwater’ from non-mineralized granitic rocks, and ‘deep groundwater’ from a depth of 500 m or deeper. ANOVA indicated that adit groundwater showed statistically higher values of TDS, Ca, and SO 4 than the other groups. High SO 4 in the adit groundwater is likely due to sulfide minerals, and high Ca may be attributed to the occurrence of calcite as a fracture-filling mineral in the mines. Classification functions derived from discriminant analysis could distinguish between adit, surrounding, and normal groundwaters with a hit ratio > 92%. The classification functions may serve as an indicator for the exploration of unknown vein-type gold deposits through chemical analysis of the groundwater.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88127044","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 : 2022-08-31DOI: 10.32390/ksmer.2022.59.4.333
Seung-Ho Park, Jeong-Wook Kim, Soon Won Jeon, H. Park, M. Jung
In this study, land farming and thermal desorption methods were applied for remediation experiments of contaminated soils with total petroleum hydrocarbons (TPH) at gas stations and military facilities. Applying these methods can reduce the contamination concentration, but it can also affect soil health. Each method was divided into unit processes to compare the variation of soil health properties such as temperature, water content, and time applied. Physical property (bulk density) was almost unchanged, chemical properties (pH, EC, CEC, available P 2 O 5 and soil respiration) increased as compared to native soils, and biological properties (organic matter and β -glucosidase) have been reduced significantly. The results of this study can be used as primary data to recover deteriorated properties of remediated soils for the intended purpose of recycling.
{"title":"Case Study on Evaluated Soil Health Properties Before and After Land Farming and Thermal Desorption for TPH-contaminated Soil","authors":"Seung-Ho Park, Jeong-Wook Kim, Soon Won Jeon, H. Park, M. Jung","doi":"10.32390/ksmer.2022.59.4.333","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.4.333","url":null,"abstract":"In this study, land farming and thermal desorption methods were applied for remediation experiments of contaminated soils with total petroleum hydrocarbons (TPH) at gas stations and military facilities. Applying these methods can reduce the contamination concentration, but it can also affect soil health. Each method was divided into unit processes to compare the variation of soil health properties such as temperature, water content, and time applied. Physical property (bulk density) was almost unchanged, chemical properties (pH, EC, CEC, available P 2 O 5 and soil respiration) increased as compared to native soils, and biological properties (organic matter and β -glucosidase) have been reduced significantly. The results of this study can be used as primary data to recover deteriorated properties of remediated soils for the intended purpose of recycling.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85414101","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 : 2022-08-31DOI: 10.32390/ksmer.2022.59.4.379
Juyeon Jeong, Hanna Jang, Desy Caesary, In Seok Joung, Ahyun Cho, D. Yoon, M. Nam
Technological innovations within the context of electrical and electromagnetic (EM) surveys have allowed for a rapid, efficient, and easier acquisition of a high quantity of data. Such innovations have been integral in mineral exploration and groundwater surveys. On the other hand, conventional inversion of electrical or EM survey data is computationally time-consuming and expensive. To circumvent the limitations of conventional inversion, the implementation of deep learning (DL) using improved neural networks has garnered substantial attention. In this study, we review various DL methods that can be used as substitutes for traditional inversion methods. Specifically, we investigate cases highlighting the successful implementation of DL to electrical or EM surveys and also comprehensively examine the advantages and disadvantages of such an application of DL.
{"title":"Research Trends and Case Studies of Deep Learning Applications in Geo-electric and Electromagnetic Surveys","authors":"Juyeon Jeong, Hanna Jang, Desy Caesary, In Seok Joung, Ahyun Cho, D. Yoon, M. Nam","doi":"10.32390/ksmer.2022.59.4.379","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.4.379","url":null,"abstract":"Technological innovations within the context of electrical and electromagnetic (EM) surveys have allowed for a rapid, efficient, and easier acquisition of a high quantity of data. Such innovations have been integral in mineral exploration and groundwater surveys. On the other hand, conventional inversion of electrical or EM survey data is computationally time-consuming and expensive. To circumvent the limitations of conventional inversion, the implementation of deep learning (DL) using improved neural networks has garnered substantial attention. In this study, we review various DL methods that can be used as substitutes for traditional inversion methods. Specifically, we investigate cases highlighting the successful implementation of DL to electrical or EM surveys and also comprehensively examine the advantages and disadvantages of such an application of DL.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80636210","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 : 2022-08-31DOI: 10.32390/ksmer.2022.59.4.398
Y. Kim
In this analysis, forward linkage index and backward linkage index were derived from the Input-Output Statistics from 1970 to 2015 to analyze the economic effect of the oil industry. The target sectors were crude oil, natural gas, basic petrochemical products, petroleum products, naphtha, fuel oil, other petroleum products, basic organic chemicals, basic organic chemical products, intermediate organic chemical products, and other basic organic chemical products. According to the analysis results, the backward linkage index were greater than the forward linage index. The backward linkage index of petrochemical product industries has changed due to technological innovation and improvement in production processes. These results show that the performance and role of the oil industry in the improvement system have changed.
{"title":"The Economic Effect Analysis of the Oil Industry in Korea","authors":"Y. Kim","doi":"10.32390/ksmer.2022.59.4.398","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.4.398","url":null,"abstract":"In this analysis, forward linkage index and backward linkage index were derived from the Input-Output Statistics from 1970 to 2015 to analyze the economic effect of the oil industry. The target sectors were crude oil, natural gas, basic petrochemical products, petroleum products, naphtha, fuel oil, other petroleum products, basic organic chemicals, basic organic chemical products, intermediate organic chemical products, and other basic organic chemical products. According to the analysis results, the backward linkage index were greater than the forward linage index. The backward linkage index of petrochemical product industries has changed due to technological innovation and improvement in production processes. These results show that the performance and role of the oil industry in the improvement system have changed.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80895520","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 : 2022-08-31DOI: 10.32390/ksmer.2022.59.4.355
Juhwan Na, I. Jang, Seil Ki
The Grosmont Formation in Canada is a fractured carbonate reservoir containing more than 400 billion barrels of bitumen. This study investigates the effect of matrix permeability, fracture permeability, and fracture spacing of carbonate rocks on the commercial feasibility of Steam Assisted Gravity Drainage (SAGD). A dual permeability model was used to conduct SAGD simulations and the commercial applicability of SAGD was analyzed using Simple Thermal Efficiency Parameter (STEP) as an economic indicator of SAGD projects. Our results confirm that the economic feasibility of SAGD implementation is influenced by matrix permeability, fracture permeability, and fracture spacing shape. In particular, increase in fracture spacing leads to decrease in economic feasibility.
{"title":"The Effect of the Reservoir Characteristic Parameters on the SAGD Economic Feasibility in Fractured Carbonate Reservoirs","authors":"Juhwan Na, I. Jang, Seil Ki","doi":"10.32390/ksmer.2022.59.4.355","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.4.355","url":null,"abstract":"The Grosmont Formation in Canada is a fractured carbonate reservoir containing more than 400 billion barrels of bitumen. This study investigates the effect of matrix permeability, fracture permeability, and fracture spacing of carbonate rocks on the commercial feasibility of Steam Assisted Gravity Drainage (SAGD). A dual permeability model was used to conduct SAGD simulations and the commercial applicability of SAGD was analyzed using Simple Thermal Efficiency Parameter (STEP) as an economic indicator of SAGD projects. Our results confirm that the economic feasibility of SAGD implementation is influenced by matrix permeability, fracture permeability, and fracture spacing shape. In particular, increase in fracture spacing leads to decrease in economic feasibility.","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83848475","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 : 2022-08-31DOI: 10.32390/ksmer.2022.59.4.364
In Seok Joung, Sung Oh Cho, Bitnarae Kim, Juyeon Jeong, Soocheol Jeong, H. Jang, P. Reninger, M. Nam
In Seok Joung, Sung Oh Cho, Bitnarae Kim, Juyeon Jeong, Soocheol Jeong, Hangilro Jang, Pierre-Alexandre Reninger and Myung Jin Nam* 1Master's and PhD Integrated Course, Department of Energy and Mineral Resources Engineering, Sejong University, Seoul, Korea 2Researcher, Archaeological Studies Division, National Research Institute of Cultural Heritage, Daejeon, Korea 3Post-doctoral Fellow, BRGM, French Geological Survey, Geo-Resources Direction, Orléans, France 4Master's Degree, Department of Energy and Mineral Resources Engineering, Sejong University, Seoul, Korea 5Senior Researcher, Korea Institute of Geoscience and Mineral Resources, Seoul, Korea 6Manager, Bomin Global Co., Anyang, Korea 7Principal Researcher, BRGM, French Geological Survey, Geo-Resources Direction, Orléans, France 8Professor, Department of Energy Resources and Geosystems Engineering, Sejong University, Seoul, Korea 9Professor, Department of Energy & Mineral Resources Engineering, Sejong University, Seoul, Korea
In Seok jung, Sung Oh Cho, Bitnarae Kim, Juyeon Jeong, Soocheol Jeong, Hangilro Jang, Pierre-Alexandre Reninger, Myung Jin Nam* 1韩国首尔世宗大学能源矿产工程系硕士和博士综合课程2韩国大田国立文化遗产研究所考古研究处研究员3法国地质调查局BRGM博士后研究员，地球资源方向，orlsamans，法国韩国首尔世宗大学能源与矿产工程系5韩国地球科学与矿产资源研究所高级研究员6韩国安阳博民全球有限公司经理7法国地质调查局地质资源方向BRGM首席研究员8韩国首尔世宗大学能源资源与地球系统工程系教授9世宗大学能源与矿产资源工程系教授首尔,韩国
{"title":"A Review of the Time-domain Electromagnetic Method: Research Trends and Applications","authors":"In Seok Joung, Sung Oh Cho, Bitnarae Kim, Juyeon Jeong, Soocheol Jeong, H. Jang, P. Reninger, M. Nam","doi":"10.32390/ksmer.2022.59.4.364","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.4.364","url":null,"abstract":"In Seok Joung, Sung Oh Cho, Bitnarae Kim, Juyeon Jeong, Soocheol Jeong, Hangilro Jang, Pierre-Alexandre Reninger and Myung Jin Nam* 1Master's and PhD Integrated Course, Department of Energy and Mineral Resources Engineering, Sejong University, Seoul, Korea 2Researcher, Archaeological Studies Division, National Research Institute of Cultural Heritage, Daejeon, Korea 3Post-doctoral Fellow, BRGM, French Geological Survey, Geo-Resources Direction, Orléans, France 4Master's Degree, Department of Energy and Mineral Resources Engineering, Sejong University, Seoul, Korea 5Senior Researcher, Korea Institute of Geoscience and Mineral Resources, Seoul, Korea 6Manager, Bomin Global Co., Anyang, Korea 7Principal Researcher, BRGM, French Geological Survey, Geo-Resources Direction, Orléans, France 8Professor, Department of Energy Resources and Geosystems Engineering, Sejong University, Seoul, Korea 9Professor, Department of Energy & Mineral Resources Engineering, Sejong University, Seoul, Korea","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91115615","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 : 2022-08-31DOI: 10.32390/ksmer.2022.59.4.408
Ho-Joon Jeon, Do-Young Jeong, Yeoni Chu, S. Kim
Hoseok Jeon, Dohyun Jeong, Yeoni Chu and Seongmin Kim* 1Principal Researcher, Mineral Processing & Metallurgy Research Center, Resources Utilization Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Korea 2PhD Student, Resources Recycling, Korea University of Science and Technology (UST), Daejeon, Korea 3Master Student, Resources Recycling, Korea University of Science and Technology (UST), Daejeon, Korea 4Senior Researcher, Mineral Processing & Metallurgy Research Center, Resources Utilization Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Korea
{"title":"The Current Status and Securing Strategies of tin Resources for Future Core Industries","authors":"Ho-Joon Jeon, Do-Young Jeong, Yeoni Chu, S. Kim","doi":"10.32390/ksmer.2022.59.4.408","DOIUrl":"https://doi.org/10.32390/ksmer.2022.59.4.408","url":null,"abstract":"Hoseok Jeon, Dohyun Jeong, Yeoni Chu and Seongmin Kim* 1Principal Researcher, Mineral Processing & Metallurgy Research Center, Resources Utilization Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Korea 2PhD Student, Resources Recycling, Korea University of Science and Technology (UST), Daejeon, Korea 3Master Student, Resources Recycling, Korea University of Science and Technology (UST), Daejeon, Korea 4Senior Researcher, Mineral Processing & Metallurgy Research Center, Resources Utilization Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Korea","PeriodicalId":17454,"journal":{"name":"Journal of the Korean Society of Mineral and Energy Resources Engineers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80521670","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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