Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy最新文献_第5页

Mineralogical auditing of the Volta Grande Mine (SE Brazil) Sn-Ta-Nb-Li processing plant, aiming at REE recovery as by-products 巴西东南部Volta Grande矿Sn-Ta-Nb-Li加工厂副产稀土回收的矿物学审计

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-07-05 DOI: 10.1080/25726838.2021.1945875

F. Alves, Reiner Neumann, C. Ávila, Paulo E. M. Ferreira, Caymon de S. Assumpção, M. Carneiro, Pedro H. V. Garcia

{"title":"Mineralogical auditing of the Volta Grande Mine (SE Brazil) Sn-Ta-Nb-Li processing plant, aiming at REE recovery as by-products","authors":"F. Alves, Reiner Neumann, C. Ávila, Paulo E. M. Ferreira, Caymon de S. Assumpção, M. Carneiro, Pedro H. V. Garcia","doi":"10.1080/25726838.2021.1945875","DOIUrl":"https://doi.org/10.1080/25726838.2021.1945875","url":null,"abstract":"ABSTRACT Recovering rare earth elements (REE) as by-products of existing mineral operations is a low-investment option to increase supply in short terms. REE-minerals were reported for the São João del Rei Pegmatitic Province (southern Minas Gerais State, Brazil) since the late 1940s, but data is scarce and dubious. The largest pegmatites project in the Province – Volta Grande mine – has been mined since 1945, producing concentrates of cassiterite, columbite-subgroup minerals, and microlite, and since 2018 spodumene is also recovered. Here we prepare a stream-specific mineralogical characterisation of the beneficiation plants to identify REE-minerals for potential REE recovery. The results analyse the feasibility of reprocessing some streams to generate a high-apatite product adequate for phosphoric acid production with REE recovery as by-products. The further REE speciation also revealed the preferential distribution of heavy-REE into columbite-subgroup minerals and light-REE into microlite, which may represent promising targets for the production of concentrates with high-purity.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1945875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44772907","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}

引用次数: 3

Lapland Granulite Belt–Neoarchean subduction zone in the North-Eastern Baltic shield 拉普兰麻粒岩带-波罗的海地盾东北部的新太古代俯冲带

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-06-02 DOI: 10.1080/25726838.2021.1930965

N. Kozlov, Е.V. Martynov, N. Sorokhtin

引用次数: 2

Kriging parameter optimisation: global versus local search strategies 克里格参数优化:全局与局部搜索策略

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-05-26 DOI: 10.1080/25726838.2021.1930964

C. F. Fonseca, J. Costa, R. Hundelshaussen, M. Bassani

引用次数: 1

Raman-XPS spectroscopy, REE chemistry, and surface morphology of Fe-Ti oxide heavy mineral sands: a case study from Varkala-Kovalam coast, south-west India Raman-XPS光谱、REE化学和Fe-Ti氧化物重矿砂表面形貌:以印度西南部Varkala-Kovalam海岸为例

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-04-09 DOI: 10.1080/25726838.2021.1911584

R. Rejith, M. Sundararajan, A. P. Peer Mohamed, M. Satyanarayanan

{"title":"Raman-XPS spectroscopy, REE chemistry, and surface morphology of Fe-Ti oxide heavy mineral sands: a case study from Varkala-Kovalam coast, south-west India","authors":"R. Rejith, M. Sundararajan, A. P. Peer Mohamed, M. Satyanarayanan","doi":"10.1080/25726838.2021.1911584","DOIUrl":"https://doi.org/10.1080/25726838.2021.1911584","url":null,"abstract":"ABSTRACT The beach sands of the Varkala-Kovalam coast, south-west India, are enriched with heavy minerals with a high concentration of ilmenite followed by sillimanite, monazite, rutile, zircon, and garnet. The Fe–Ti oxide minerals such as ilmenite, its altered product leucoxene, and rutile were successfully recovered, and their structure, chemistry, and surface morphology were analysed using advanced characterisation techniques like Raman spectroscopy, Energy Dispersive X-ray Fluorescence (ED-XRF), High Resolution Inductively Coupled Plasma Mass Spectrometry (HR-ICP-MS), Thermogravimetric Analysis (TGA), UV-Visible-NIR (UV-Vis-NIR) spectroscopy, X-ray Photoelectron Spectroscopy (XPS), and Scanning Electron Microscopy (SEM-EDS). The chemical composition, surface chemistry, the oxidation state of surface elements, anisotropic crystal behaviour of the minerals due to physical or chemical processes, discrimination of polymorphs, and finally the morphological changes due to mechanical impacts were also analysed. The study provides solid information to the scientific community and policymakers for determining the grade and potential applications of these strategic minerals.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1911584","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43865508","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}

引用次数: 6

A review of the geological settings, ages and economic potentials of carbonatites in the Democratic Republic of Congo 刚果民主共和国碳酸盐岩的地质背景、年龄和经济潜力综述

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-04-08 DOI: 10.1080/25726838.2021.1911585

Georges M. Kasay, A. Bolarinwa, O. K. Aromolaran, C. Nzolang, V. Mambo

{"title":"A review of the geological settings, ages and economic potentials of carbonatites in the Democratic Republic of Congo","authors":"Georges M. Kasay, A. Bolarinwa, O. K. Aromolaran, C. Nzolang, V. Mambo","doi":"10.1080/25726838.2021.1911585","DOIUrl":"https://doi.org/10.1080/25726838.2021.1911585","url":null,"abstract":"ABSTRACT Carbonatite occurrences are reported in Lueshe, Kirumba, Bingo and Mombadio in the Democratic Republic of Congo (DRC), within the western branch of the East African Rift System (EARS). These rocks intrude Precambrian rocks , which are mainly quartzites and mica schists. Lateritic profiles from Lueshe and Bingo are ore-bearing minerals enriched in Nb2O5 and phosphate minerals. The Lueshe and Bingo exploitable quantities are estimated to be 30 Mt at a grade of 1.34% Nb2O5 and 7 Mt at a grade of 2.86% Nb2O5, respectively. These carbonatites were explored and exploited by some mining companies in the 1970s and 2000s. They show geological and geochemical similarities to other exploitable carbonatites in the EARS, including Mrima Hill in Kenya, Panda Hill in Tanzania and the world-class Araxá and Catalão carbonatites in Brazil. The Lueshe and Kirumba alkaline massifs dates, determined using the whole-rock Rb–Sr method, are respectively 822 ± 120 and 803 ± 22 Ma and are intimately linked to the Rodinia Supercontinent breakup. These dates are analogous to other regional carbonatite dates like the Matongo carbonatite in Burundi. However, further geological, petrological and geochemical studies on carbonatite complexes are essential in DRC. Most importantly, the economic potentials of Kirumba and Mombadio should be evaluated. Simultaneously, the dates of the Bingo and Mombadio carbonatites are crucial for the elucidation of their geodynamic settings.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1911585","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46283243","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}

引用次数: 5

Editorial 编辑

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-04-03 DOI: 10.1080/25726838.2021.1918996

S. Jowitt

引用次数: 0

Niobium mineralization of sedimentary carbonates, Lewisian Complex, UK 沉积碳酸盐岩的铌矿化，英国路易西安杂岩

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-03-29 DOI: 10.1080/25726838.2021.1902729

J. Parnell, R. Michie, E. Heptinstall, J. Still

引用次数: 2

Abstracts of the 44th Mineral Deposits Study Group Annual Winter Meeting held virtually on 14th December 2020 第44届矿床研究小组冬季年会于2020年12月14日举行

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-03-24 DOI: 10.1080/25726838.2021.1898082

David J Smith

引用次数: 1

Multivariate geostatistical simulation with PPMT: an application for uncertainty measurement PPMT多变量地质统计模拟在不确定度测量中的应用

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-03-12 DOI: 10.1080/25726838.2021.1892364

Paulo Henrique Faria, J. F. Coimbra Leite Costa, Marcel Antônio Arcari Bassani

{"title":"Multivariate geostatistical simulation with PPMT: an application for uncertainty measurement","authors":"Paulo Henrique Faria, J. F. Coimbra Leite Costa, Marcel Antônio Arcari Bassani","doi":"10.1080/25726838.2021.1892364","DOIUrl":"https://doi.org/10.1080/25726838.2021.1892364","url":null,"abstract":"ABSTRACT Grade models built by traditional estimation or simulation methods often fail to reproduce the complex relationships between the variables. This work investigates the use of the multivariate transformation called Projection Pursuit Multivariate Transform (PPMT), which fully decorrelates the multiple variables of interest, allowing the independent conditional simulation of each variable in the transformed space. Finally, the simulated variables are back-transformed, reproducing the initial correlations of the data. The PPMT workflow was applied to a nickel laterite deposit considering five variables: nickel, iron, silica, magnesium, and calcium grades. Conditional simulations of each variable were run and validated. The back-transformed realisations reproduced the multivariate relationships of the data. To calculate the uncertainties, mining panels equivalent to two and four weeks of production were generated using the k-means clustering technique. Uncertainties were summarised by the coefficient of variation (CV) and the results were used to define classes of mineral resources.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1892364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45372471","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}

引用次数: 2

An enhanced co-simulation technique for resource modelling using grade domaining: a case study from an iron ore deposit 利用品位域进行资源建模的增强联合模拟技术:一个铁矿床的案例研究

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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy Pub Date : 2021-03-12 DOI: 10.1080/25726838.2021.1882644

N. Iliyas, N. Madani

{"title":"An enhanced co-simulation technique for resource modelling using grade domaining: a case study from an iron ore deposit","authors":"N. Iliyas, N. Madani","doi":"10.1080/25726838.2021.1882644","DOIUrl":"https://doi.org/10.1080/25726838.2021.1882644","url":null,"abstract":"ABSTRACT For resource estimation, domains are interpreted in a deposit to define homogenous areas for grade estimation. The conventional approach is to interpret the domains and then to separately model the distribution of the grade (i.e., partial grades) within each domain. The problem is that independent modeling of partial grades ignores the cross-dependency that exists between the partial grades within the defined domains. In this study, an alternative is proposed to first model the grade domains using a stochastic approach and then to model the partial grades within each domain using a co-simulation algorithm that incorporates their cross-correlation structures. The proposed enhanced co-simulation methodology has been applied at an iron deposit and a single grade threshold. This case study shows that the enhanced co-simulation methodology is capable of reproducing the global statistics and spatial continuity characteristics of the partial grades and results in improved domaining, grade estimation and definition of ore.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1882644","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44349300","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}

引用次数: 1