Pub Date : 2021-02-28DOI: 10.1080/25726838.2021.1888614
B. Grguric, M. Roberts, M. Raven, Kendal Martyn
ABSTRACT Luzonite, partially replaced by tennantite, was identified in dump specimens from the historic Levant Mine, west Cornwall, in a paragenetic sequence comprising early cassiterite–quartz–pyrite–arsenopyrite overprinted by Cu–Fe sulphides and followed by luzonite and tennantite. Mineral chemical data indicates the luzonite is near-end member and the tennantite is so-called Cu-excess tennantite, the implication being its Fe content (2.01–4.04 at.-%) is present entirely as Fe3+ in the sulphide lattice. Both the luzonite and its replacement product, Cu-excess tennantite, indicate that at least one hydrothermal episode in the long-lived Levant mineralising system involved influx of oxidised, high-intermediate sulphidation fluids. The presence of fine bornite and covellite lamellae in Cu-excess tennantite are interpreted to be post-depositional exsolution products. The luzonite has a sulphur isotope δ 34S of 0 ± 0.3 ‰ and it is tentatively proposed that the luzonite–tennantite depositing event represented a pulse of essentially pure magmatic-hydrothermal fluid.
{"title":"Luzonite and associated Cu-excess tennantite from the Levant Sn–Cu deposit, Cornwall, England: Evidence for a high sulphidation hydrothermal event","authors":"B. Grguric, M. Roberts, M. Raven, Kendal Martyn","doi":"10.1080/25726838.2021.1888614","DOIUrl":"https://doi.org/10.1080/25726838.2021.1888614","url":null,"abstract":"ABSTRACT Luzonite, partially replaced by tennantite, was identified in dump specimens from the historic Levant Mine, west Cornwall, in a paragenetic sequence comprising early cassiterite–quartz–pyrite–arsenopyrite overprinted by Cu–Fe sulphides and followed by luzonite and tennantite. Mineral chemical data indicates the luzonite is near-end member and the tennantite is so-called Cu-excess tennantite, the implication being its Fe content (2.01–4.04 at.-%) is present entirely as Fe3+ in the sulphide lattice. Both the luzonite and its replacement product, Cu-excess tennantite, indicate that at least one hydrothermal episode in the long-lived Levant mineralising system involved influx of oxidised, high-intermediate sulphidation fluids. The presence of fine bornite and covellite lamellae in Cu-excess tennantite are interpreted to be post-depositional exsolution products. The luzonite has a sulphur isotope δ 34S of 0 ± 0.3 ‰ and it is tentatively proposed that the luzonite–tennantite depositing event represented a pulse of essentially pure magmatic-hydrothermal fluid.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"107 - 113"},"PeriodicalIF":1.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1888614","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49427683","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 : 2021-02-19DOI: 10.1080/25726838.2021.1889295
Flavio Azevedo Neves Amarante, Roberto Mentzingen Rolo, J. F. Coimbra Leite Costa
ABSTRACT Geological modelling is a crucial step in mineral resource evaluation. The traditional approach to modelling the volumetric limits, explicit modelling, presents a series of limitations and disadvantages which makes it costly to assess the uncertainty in relation to the location of the limits between different domains in the mineral deposit. In many cases, the geological model can be a source of crucial uncertainty, for this reason, the uncertainty associated with the geological model must be assessed. This paper proposes a method for assessing geological model uncertainty by simulating the contacts between different domains in a mineral deposit in a hierarchical manner using signed distances. The proposed method was demonstrated in a case study conducted on a porphyry copper deposit. Models generated by the proposed method do not show much noise, as this method leads to continuous contacts between domains while the volume variation and contacts characteristics can be controlled by the parameters. Results are compared to sequential indicator simulation, a traditionally used technique to model geobodies and assess its uncertainty.
{"title":"Boundary simulation – a hierarchical approach for multiple categories","authors":"Flavio Azevedo Neves Amarante, Roberto Mentzingen Rolo, J. F. Coimbra Leite Costa","doi":"10.1080/25726838.2021.1889295","DOIUrl":"https://doi.org/10.1080/25726838.2021.1889295","url":null,"abstract":"ABSTRACT Geological modelling is a crucial step in mineral resource evaluation. The traditional approach to modelling the volumetric limits, explicit modelling, presents a series of limitations and disadvantages which makes it costly to assess the uncertainty in relation to the location of the limits between different domains in the mineral deposit. In many cases, the geological model can be a source of crucial uncertainty, for this reason, the uncertainty associated with the geological model must be assessed. This paper proposes a method for assessing geological model uncertainty by simulating the contacts between different domains in a mineral deposit in a hierarchical manner using signed distances. The proposed method was demonstrated in a case study conducted on a porphyry copper deposit. Models generated by the proposed method do not show much noise, as this method leads to continuous contacts between domains while the volume variation and contacts characteristics can be controlled by the parameters. Results are compared to sequential indicator simulation, a traditionally used technique to model geobodies and assess its uncertainty.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"114 - 130"},"PeriodicalIF":1.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1889295","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49581613","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 : 2021-01-02DOI: 10.1080/25726838.2021.1891653
S. Jowitt
{"title":"Editorial","authors":"S. Jowitt","doi":"10.1080/25726838.2021.1891653","DOIUrl":"https://doi.org/10.1080/25726838.2021.1891653","url":null,"abstract":"","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"1 - 1"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1891653","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49149892","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 : 2021-01-02DOI: 10.1080/25726838.2020.1863013
M. Peterson, J. Manuel, S. Hapugoda
ABSTRACT This article details two geometallurgical case studies using classification schemes developed for Mn fine and lump ores. For the first, the relative abundance of 15 material types was compared to chemistry by size fraction. Positive correlations were evident between the proportion of aluminosilicate-bearing ore groups and Al2O3 content, the ratio of Mn oxide/Fe oxide ore groups and the Mn/Fe content, the proportion of cryptomelane-bearing groups and the K2O and BaO contents, and the ratio of hard to moderately hard + friable particles and the K2O + Ba + Na content. For the second, agreement was observed between the types of predominant material types in the two different ores and their mass distributions, major and trace element chemistries. Different material types had clear variances in their envelope and apparent particle densities. These two case studies support the expanded use of particle-based ore classification schemes for the characterisation of Mn ores to better predict their downstream processing performance.
摘要本文详细介绍了两个地质冶金案例研究，使用针对锰细粒和块状矿石开发的分类方案。首先，将15种材料类型的相对丰度与化学成分的尺寸分数进行了比较。含铝硅酸盐矿组的比例与Al2O3含量、氧化锰/氧化铁矿组的比率与Mn/Fe含量、含隐黑岩矿组的百分比与K2O和BaO含量以及硬质与中硬质的比率之间存在明显的正相关 + 易碎颗粒和K2O + Ba + Na含量。第二，观察到两种不同矿石中主要物质类型的类型及其质量分布、主要元素和微量元素化学成分之间的一致性。不同的材料类型在其包络和表观颗粒密度方面有明显的差异。这两个案例研究支持扩大使用基于颗粒的矿石分类方案来表征锰矿，以更好地预测其下游加工性能。
{"title":"Geometallurgical characterisation of Mn ores","authors":"M. Peterson, J. Manuel, S. Hapugoda","doi":"10.1080/25726838.2020.1863013","DOIUrl":"https://doi.org/10.1080/25726838.2020.1863013","url":null,"abstract":"ABSTRACT This article details two geometallurgical case studies using classification schemes developed for Mn fine and lump ores. For the first, the relative abundance of 15 material types was compared to chemistry by size fraction. Positive correlations were evident between the proportion of aluminosilicate-bearing ore groups and Al2O3 content, the ratio of Mn oxide/Fe oxide ore groups and the Mn/Fe content, the proportion of cryptomelane-bearing groups and the K2O and BaO contents, and the ratio of hard to moderately hard + friable particles and the K2O + Ba + Na content. For the second, agreement was observed between the types of predominant material types in the two different ores and their mass distributions, major and trace element chemistries. Different material types had clear variances in their envelope and apparent particle densities. These two case studies support the expanded use of particle-based ore classification schemes for the characterisation of Mn ores to better predict their downstream processing performance.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"2 - 22"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1863013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44454890","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 : 2021-01-02DOI: 10.1080/25726838.2021.1872820
Alemu Mesele, Teklay Gidey, Tilahun Weldemaryam, Wuletaw Mulualem, T. Mekuria, Y. Ali, Gizachew Mulugeta, Betelhem Tesfaye, Mulgeta Brihan
ABSTRACT Debre Tabor kaolin deposit is located around Debre Tabor town in Amhara region of northwestern Ethiopia. The kaolin deposit in the study area needs a detailed study to evaluate the geological, mineralogical, physical, and geochemical conditions. For this purpose, detailed geological, physical, mineralogical, and geochemical laboratory tests were performed. XRD and petrographic analysis were used to study the mineralogical composition. Geochemical analysis was determined using ICP-MS and ICP-AES. The Debre Tabor kaolin deposit is exposed along riverbanks, road cuts, hillside, and quarry sites. The laboratory results reveal that the deposit is formed from the weathering of felsic rocks mainly trachyte and tuff units. From the laboratory analysis, we found that quartz is the dominant impurities. The geological, mineralogical, and geochemical studies indicate that in situ weathering followed by leaching played a major role in the formation of the Debre Tabor kaolin deposit. The average Chemical Index of Alteration (77.98%) shows that the host rock has experienced moderate weathering and alteration under the hot and humid climatic conditions of the subtropical zone. The low bulk density (1.54 g cm−3) and Ce + Y + La vs. Ba + Sr plot correspond to the supergene type of formation. Based on the mineralogical, geochemical, and physical properties, Debre Tabor kaolin deposit can be used for refractory, ceramics, paper coating, and filler (paint) industries, but treatment is important to remove the existing impurities such as iron, quartz, and feldspars.
摘要Debre Tabor高岭土矿床位于埃塞俄比亚西北部阿姆哈拉地区的Debre Tabol镇附近。研究区域内的高岭土矿床需要进行详细研究，以评估地质、矿物学、物理和地球化学条件。为此，进行了详细的地质、物理、矿物学和地球化学实验室测试。利用XRD和岩相分析对其矿物组成进行了研究。地球化学分析采用ICP-MS和ICP-AES进行测定。Debre Tabor高岭土矿床沿河岸、路堑、山坡和采石场暴露。实验室研究结果表明，该矿床是由长英质岩石风化形成的，主要为粗晶岩和凝灰岩单元。通过实验室分析，我们发现石英是主要杂质。地质、矿物学和地球化学研究表明，原位风化和浸出在Debre Tabor高岭土矿床的形成中发挥了重要作用。蚀变平均化学指数（77.98%）表明，在亚热带湿热气候条件下，寄主岩石经历了中度风化和蚀变。低堆积密度（1.54 g cm−3）和Ce + Y + La与Ba + Sr图对应于浅生地层类型。根据矿物学、地球化学和物理性质，Debre Tabor高岭土矿床可用于耐火材料、陶瓷、纸涂层和填料（油漆）行业，但处理对于去除铁、石英和长石等现有杂质非常重要。
{"title":"Mineralogical and geochemical characterisation of kaolin deposit from Debre Tabor area northwestern, Ethiopia","authors":"Alemu Mesele, Teklay Gidey, Tilahun Weldemaryam, Wuletaw Mulualem, T. Mekuria, Y. Ali, Gizachew Mulugeta, Betelhem Tesfaye, Mulgeta Brihan","doi":"10.1080/25726838.2021.1872820","DOIUrl":"https://doi.org/10.1080/25726838.2021.1872820","url":null,"abstract":"ABSTRACT Debre Tabor kaolin deposit is located around Debre Tabor town in Amhara region of northwestern Ethiopia. The kaolin deposit in the study area needs a detailed study to evaluate the geological, mineralogical, physical, and geochemical conditions. For this purpose, detailed geological, physical, mineralogical, and geochemical laboratory tests were performed. XRD and petrographic analysis were used to study the mineralogical composition. Geochemical analysis was determined using ICP-MS and ICP-AES. The Debre Tabor kaolin deposit is exposed along riverbanks, road cuts, hillside, and quarry sites. The laboratory results reveal that the deposit is formed from the weathering of felsic rocks mainly trachyte and tuff units. From the laboratory analysis, we found that quartz is the dominant impurities. The geological, mineralogical, and geochemical studies indicate that in situ weathering followed by leaching played a major role in the formation of the Debre Tabor kaolin deposit. The average Chemical Index of Alteration (77.98%) shows that the host rock has experienced moderate weathering and alteration under the hot and humid climatic conditions of the subtropical zone. The low bulk density (1.54 g cm−3) and Ce + Y + La vs. Ba + Sr plot correspond to the supergene type of formation. Based on the mineralogical, geochemical, and physical properties, Debre Tabor kaolin deposit can be used for refractory, ceramics, paper coating, and filler (paint) industries, but treatment is important to remove the existing impurities such as iron, quartz, and feldspars.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"42 - 56"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1872820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41656429","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 : 2021-01-02DOI: 10.1080/25726838.2021.1872822
Gamze Erdogan Erten, M. Yavuz, C. Deutsch
ABSTRACT Machine learning (ML) models provide useful tools to generate spatial estimations of geological features, but they do not consider the spatial dependence among the observations and they primarily use coordinates as predictors. Thus, many ML models produce visible artifacts in the resulting estimates along the coordinate directions. To overcome this significant problem, this paper presents an ensemble super learner (ESL) model which uses the super learner (SL) model as the ML model. In the ESL model, numerous training sets are created from the original dataset by a coordinate rotation strategy and then the estimates obtained from the fitted SL models are ensembled to produce a final estimate. A dataset from a high-grade gold deposit demonstrates the approach and compares the results to kriging and the SL model. The results demonstrate that the ESL model manages artifacts in ML spatial estimation. It also provides better results than the kriging and SL model in terms of estimation accuracy.
{"title":"Grade estimation by a machine learning model using coordinate rotations","authors":"Gamze Erdogan Erten, M. Yavuz, C. Deutsch","doi":"10.1080/25726838.2021.1872822","DOIUrl":"https://doi.org/10.1080/25726838.2021.1872822","url":null,"abstract":"ABSTRACT Machine learning (ML) models provide useful tools to generate spatial estimations of geological features, but they do not consider the spatial dependence among the observations and they primarily use coordinates as predictors. Thus, many ML models produce visible artifacts in the resulting estimates along the coordinate directions. To overcome this significant problem, this paper presents an ensemble super learner (ESL) model which uses the super learner (SL) model as the ML model. In the ESL model, numerous training sets are created from the original dataset by a coordinate rotation strategy and then the estimates obtained from the fitted SL models are ensembled to produce a final estimate. A dataset from a high-grade gold deposit demonstrates the approach and compares the results to kriging and the SL model. The results demonstrate that the ESL model manages artifacts in ML spatial estimation. It also provides better results than the kriging and SL model in terms of estimation accuracy.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"57 - 66"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2021.1872822","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46786162","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 : 2021-01-02DOI: 10.1080/25726838.2020.1861916
Franck Wilfried Nguimatsia Dongmo, R. Yongue Fouateu, Roger Firmin Donald Ntouala, Y. B. Lemdjou, Dongmo Chirstophe Ledoux, A. Bolarinwa
ABSTRACT The Fongo-Tongo’s bauxites were investigated to characterise them. Their texture varies from massive, vesicular, alveolar, conglomeratic to nodular with dominantly red colour, reddish-brown and yellow. The main minerals identified by X-ray diffraction are gibbsite and goethite with subordinate quartz, anatase, hematite, magnetite, and traces of kaolinite. The abundance of gibbsite and goethite suggested intense weathering during the formation of the bauxite deposits. Chemical data of the bauxite showed high Al2O3 (37.4–57.5 wt-%) with varied Fe2O3 (3.97–29.5 wt-%), TiO2 (0.57–7.5 wt-%) and SiO2 (0.48–3.21 wt-%) contents, while other oxides are generally less than 0.6 wt-% indicating high bauxite quality with low impurities. The wide range of trace and REE concentrations of Zr, Nb, Sr, V, Ce, La, Nd and the presence of both positive and negative Eu anomalies suggested and acid igneous source with mafic input. These bauxites could serve as raw material for the aluminium industry.
{"title":"Geochemical, mineralogical and macroscopic facies of the Fongo-Tongo bauxite deposit western Cameroon","authors":"Franck Wilfried Nguimatsia Dongmo, R. Yongue Fouateu, Roger Firmin Donald Ntouala, Y. B. Lemdjou, Dongmo Chirstophe Ledoux, A. Bolarinwa","doi":"10.1080/25726838.2020.1861916","DOIUrl":"https://doi.org/10.1080/25726838.2020.1861916","url":null,"abstract":"ABSTRACT The Fongo-Tongo’s bauxites were investigated to characterise them. Their texture varies from massive, vesicular, alveolar, conglomeratic to nodular with dominantly red colour, reddish-brown and yellow. The main minerals identified by X-ray diffraction are gibbsite and goethite with subordinate quartz, anatase, hematite, magnetite, and traces of kaolinite. The abundance of gibbsite and goethite suggested intense weathering during the formation of the bauxite deposits. Chemical data of the bauxite showed high Al2O3 (37.4–57.5 wt-%) with varied Fe2O3 (3.97–29.5 wt-%), TiO2 (0.57–7.5 wt-%) and SiO2 (0.48–3.21 wt-%) contents, while other oxides are generally less than 0.6 wt-% indicating high bauxite quality with low impurities. The wide range of trace and REE concentrations of Zr, Nb, Sr, V, Ce, La, Nd and the presence of both positive and negative Eu anomalies suggested and acid igneous source with mafic input. These bauxites could serve as raw material for the aluminium industry.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"23 - 41"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1861916","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44678510","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 : 2020-10-01DOI: 10.1080/25726838.2020.1852999
{"title":"Correction","authors":"","doi":"10.1080/25726838.2020.1852999","DOIUrl":"https://doi.org/10.1080/25726838.2020.1852999","url":null,"abstract":"","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"i - i"},"PeriodicalIF":1.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1852999","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49268303","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 : 2020-10-01DOI: 10.1080/25726838.2020.1829253
Katherine L. Silversides, A. Ball, A. Melkumyan
ABSTRACT Measure while drilling (MWD) data collected from production holes can provide information on the location of stratigraphic units in banded iron formation-hosted iron ore deposits. Stratigraphic modelling in these deposits is typically based on data from exploration holes, and adding more densely spaced production data can potentially increase model detail at the bench scale. Previous MWD classification methods struggle to differentiate between neighbouring ore units. In this paper, multivariate Gaussian Processes (GPs) were applied to locate the contact between two iron ore units in the Dales Gorge Member in the Brockman Iron Ore Formation. Production MWD points were then labelled based on the GP output. By altering parameters of the labelling process, 24.4–49.4% of the test data were labelled, with accuracies from 81.4 to 86.8%. Classifications from the same hole were compared to ensure MWD label consistency. The results demonstrate that the proposed method can improve geological unit classification from MWD data.
{"title":"BIF-hosted deposit unit differentiation using multivariate Gaussian processes on measure while drilling data","authors":"Katherine L. Silversides, A. Ball, A. Melkumyan","doi":"10.1080/25726838.2020.1829253","DOIUrl":"https://doi.org/10.1080/25726838.2020.1829253","url":null,"abstract":"ABSTRACT Measure while drilling (MWD) data collected from production holes can provide information on the location of stratigraphic units in banded iron formation-hosted iron ore deposits. Stratigraphic modelling in these deposits is typically based on data from exploration holes, and adding more densely spaced production data can potentially increase model detail at the bench scale. Previous MWD classification methods struggle to differentiate between neighbouring ore units. In this paper, multivariate Gaussian Processes (GPs) were applied to locate the contact between two iron ore units in the Dales Gorge Member in the Brockman Iron Ore Formation. Production MWD points were then labelled based on the GP output. By altering parameters of the labelling process, 24.4–49.4% of the test data were labelled, with accuracies from 81.4 to 86.8%. Classifications from the same hole were compared to ensure MWD label consistency. The results demonstrate that the proposed method can improve geological unit classification from MWD data.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"164 - 175"},"PeriodicalIF":1.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1829253","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47575259","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 : 2020-10-01DOI: 10.1080/25726838.2020.1847985
S. Jowitt
{"title":"Editorial","authors":"S. Jowitt","doi":"10.1080/25726838.2020.1847985","DOIUrl":"https://doi.org/10.1080/25726838.2020.1847985","url":null,"abstract":"","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"163 - 163"},"PeriodicalIF":1.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1847985","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46886137","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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