Pub Date : 2020-10-01DOI: 10.1080/25726838.2020.1834668
Neil Phillips.
This is a book I would have appreciated throughout my career in the mineral industry and in university teaching. It is broad in what it covers but also detailed in the amount of information it has ...
{"title":"Economic geology, principles and practice: metals, minerals, coal and hydrocarbons – an introduction to formation and sustainable exploitation of mineral deposits, 2nd ed.","authors":"Neil Phillips.","doi":"10.1080/25726838.2020.1834668","DOIUrl":"https://doi.org/10.1080/25726838.2020.1834668","url":null,"abstract":"This is a book I would have appreciated throughout my career in the mineral industry and in university teaching. It is broad in what it covers but also detailed in the amount of information it has ...","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"248 - 248"},"PeriodicalIF":1.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1834668","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47559204","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 : 2020-09-17DOI: 10.1080/25726838.2020.1817711
A. Stratakis, E. Petrakis, Nikolaos Katzagiannakis, G. Alevizos
ABSTRACT This study aims to investigate and compare the mineralogical characteristics of the western Crete iron ores in the Kakopetros and Arolithi areas. In addition, conventional beneficiation techniques, namely, magnetic and heavy liquid separation, were examined in order to potentially upgrade these ores. The ores were characterized through X-ray diffraction, X-ray fluorescence, Scanning electron microscopy and ore microscopy. Kakopetros iron ore consists mainly of compact goethite masses, while cryptomelane in the form of concentric shells was observed in several samples. Arolithi ore consists of several compact masses of goethite and fine-grained graphite and pyrite which are dispersed in the groundmass. Conventional beneficiation of specific fractions indicated that the heavy liquid treatment of the 0.063-0.250 mm size fraction of the Kakopetros ore resulting in a significant increase in upgrading. Overall, the results showed that fine-grained gangue minerals are locked in the iron-rich masses, making the separation techniques of ores ineffective.
{"title":"Comparative study on mineralogy and beneficiation potential of western Crete iron ores","authors":"A. Stratakis, E. Petrakis, Nikolaos Katzagiannakis, G. Alevizos","doi":"10.1080/25726838.2020.1817711","DOIUrl":"https://doi.org/10.1080/25726838.2020.1817711","url":null,"abstract":"ABSTRACT This study aims to investigate and compare the mineralogical characteristics of the western Crete iron ores in the Kakopetros and Arolithi areas. In addition, conventional beneficiation techniques, namely, magnetic and heavy liquid separation, were examined in order to potentially upgrade these ores. The ores were characterized through X-ray diffraction, X-ray fluorescence, Scanning electron microscopy and ore microscopy. Kakopetros iron ore consists mainly of compact goethite masses, while cryptomelane in the form of concentric shells was observed in several samples. Arolithi ore consists of several compact masses of goethite and fine-grained graphite and pyrite which are dispersed in the groundmass. Conventional beneficiation of specific fractions indicated that the heavy liquid treatment of the 0.063-0.250 mm size fraction of the Kakopetros ore resulting in a significant increase in upgrading. Overall, the results showed that fine-grained gangue minerals are locked in the iron-rich masses, making the separation techniques of ores ineffective.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"217 - 230"},"PeriodicalIF":1.0,"publicationDate":"2020-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1817711","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44050209","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 : 2020-09-07DOI: 10.1080/25726838.2020.1814483
G. Moreira, J. F. Coimbra Leite Costa, D. Marques
ABSTRACT One of the first decisions to be made when building a mineral resource model is the definition of geological/geostatistical domains. Cluster analysis is a set of techniques in machine learning that can be especially suited for this matter. In order to compare different approaches, two clustering algorithms were investigated in this study: k-means and the dual-space clustering algorithm. Choosing the most appropriate method and the number of clusters can be challenging and some metrics are needed to support these decisions, including the validation of the spatial distribution of the clusters, which is not always appropriately discussed in the literature. We introduce the use of correlograms of the indicators for that matter. Although clustering techniques can be robust for an application in resource modelling, expert knowledge is still necessary when applying cluster analysis to resource modeling, since final decisions should not be based solely on statistical indexes, but also on experience. In this paper, the proposed methodology was tested in a three-dimensional dataset related to a phosphate/titanium deposit.
{"title":"Defining geologic domains using cluster analysis and indicator correlograms: a phosphate-titanium case study","authors":"G. Moreira, J. F. Coimbra Leite Costa, D. Marques","doi":"10.1080/25726838.2020.1814483","DOIUrl":"https://doi.org/10.1080/25726838.2020.1814483","url":null,"abstract":"ABSTRACT One of the first decisions to be made when building a mineral resource model is the definition of geological/geostatistical domains. Cluster analysis is a set of techniques in machine learning that can be especially suited for this matter. In order to compare different approaches, two clustering algorithms were investigated in this study: k-means and the dual-space clustering algorithm. Choosing the most appropriate method and the number of clusters can be challenging and some metrics are needed to support these decisions, including the validation of the spatial distribution of the clusters, which is not always appropriately discussed in the literature. We introduce the use of correlograms of the indicators for that matter. Although clustering techniques can be robust for an application in resource modelling, expert knowledge is still necessary when applying cluster analysis to resource modeling, since final decisions should not be based solely on statistical indexes, but also on experience. In this paper, the proposed methodology was tested in a three-dimensional dataset related to a phosphate/titanium deposit.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"176 - 190"},"PeriodicalIF":1.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1814483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46609463","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 : 2020-08-26DOI: 10.1080/25726838.2020.1809315
Getnet Gezahegn, Worash Getaneh
ABSTRACT The Alemtena kaolin deposit is located within the main Ethiopian rift. New geological, mineralogical, geochemical and physical test data provide evidence of the genesis and potential use of the kaolin. These data indicate that the deposit formed as a result of the intensive weathering of felsic volcanic rocks including rhyolitic tuffs, pumice, and rhyolite. The deposit contains elevated concentrations of Cr + Nb and Ce + Y+La and low concentration of Ba + Sr suggesting the deposit has a supergene origin. The presence of only kaolinite and quartz, and absence of high temperature minerals like pyrophyllite, dickite and pyrite, low bulk density (<2 g/cm3) and high crystallinity (HI > 0.9) strengthen the supergene origin. The presence of comparable grain size distribution, mainly white colour, high Al2O3 and kaolinite, relatively low concentrations of Fe2O3, TiO2 and alkali elements make the kaolin favourable for various industrial applications including paper, filler, ceramics, pharmaceuticals, and agricultural industries. Reserve estimation from section logging and pitting gave nearly 85 million tons of reserve.
{"title":"Economic geology and genesis of kaolin resources in the East African Rift system: the case of Alemtena kaolin deposit, Ethiopia","authors":"Getnet Gezahegn, Worash Getaneh","doi":"10.1080/25726838.2020.1809315","DOIUrl":"https://doi.org/10.1080/25726838.2020.1809315","url":null,"abstract":"ABSTRACT The Alemtena kaolin deposit is located within the main Ethiopian rift. New geological, mineralogical, geochemical and physical test data provide evidence of the genesis and potential use of the kaolin. These data indicate that the deposit formed as a result of the intensive weathering of felsic volcanic rocks including rhyolitic tuffs, pumice, and rhyolite. The deposit contains elevated concentrations of Cr + Nb and Ce + Y+La and low concentration of Ba + Sr suggesting the deposit has a supergene origin. The presence of only kaolinite and quartz, and absence of high temperature minerals like pyrophyllite, dickite and pyrite, low bulk density (<2 g/cm3) and high crystallinity (HI > 0.9) strengthen the supergene origin. The presence of comparable grain size distribution, mainly white colour, high Al2O3 and kaolinite, relatively low concentrations of Fe2O3, TiO2 and alkali elements make the kaolin favourable for various industrial applications including paper, filler, ceramics, pharmaceuticals, and agricultural industries. Reserve estimation from section logging and pitting gave nearly 85 million tons of reserve.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"191 - 204"},"PeriodicalIF":1.0,"publicationDate":"2020-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1809315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48464426","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 : 2020-08-25DOI: 10.1080/25726838.2020.1809956
Yemane Gebru, Teklay Gidey, Bereket Gebresilassie, Tekia Hadgu
ABSTRACT Mineralogical and geochemical variations of elements from the Adi-Daero iron–duricrust were studied using petrographic, X–ray diffraction and geochemical analyses. Petrographic studies of the samples confirmed the presence of nodular and colloform textural features. The XRD analysis showed the presence of haematite, goethite, quartz, kaolinite and ilmenite are the mineral constituents. Major–element geochemistry was determined by ICP-AES, and trace and REEs were analysed using ICP-MS. Of the major oxides, Fe2O3 (6.8–72.93 wt-%) and SiO2 (11.07–77.75 wt-%) showed significant variation with generally increasing and decreasing trends from the iron-rich duricrust to the bedrock, respectively. In the profile studied, the alkali and alkaline earth elements (Ca, Mg, Na and K) were highly depleted, suggesting that iron–duricrust near–complete leaching. Elevated values of Sr and Ba in the lower part of the profile are probably due to their abundance in the protolith material (sandstone). A considerable enrichment of V and Cr, and Zr and REEs in the iron-rich duricrust and clay-rich horizon compared to the bedrock confirms their substitution for the Feoxyhydroxides, occurring in heavy mineral phases and adsorbed onto clay minerals, respectively. The La/Y <1 indicates an acidic environment in the upper part of the profile (AD-1 to AD-6; 0.64–0.99) and La/Y >1 a basic environment in the basal part of the profile (AD-7 to AD-12; 1.13–1.58). Similarly, the (La/Yb)N ratio of samples AD-1 to AD-6 (6.81–8.05) is significantly lower than that of AD-7 to AD–12 (10.09–24.54), reflecting an acidic environment. Positive Ce anomalies in the samples of AD-1 to AD-2 (1.17–1.2) are linked to the existence of cerianite due to change in oxidation state of Ce while in AD-8 and AD-9 (0.92–0.93), it is related to adsorption of Ce ions onto clay particles protolith. Therefore, the absolute enrichment of iron in the Adi-Daero iron–duricrust deposit was most likely an in situ process that involved vertical transfer from the iron-poor sandstone source rock.
{"title":"Mineralogical and geochemical characteristics of the iron–duricrust deposit in Adi-Daero area, northwestern Tigray, Ethiopia: implication for the origin and controlling factors","authors":"Yemane Gebru, Teklay Gidey, Bereket Gebresilassie, Tekia Hadgu","doi":"10.1080/25726838.2020.1809956","DOIUrl":"https://doi.org/10.1080/25726838.2020.1809956","url":null,"abstract":"ABSTRACT Mineralogical and geochemical variations of elements from the Adi-Daero iron–duricrust were studied using petrographic, X–ray diffraction and geochemical analyses. Petrographic studies of the samples confirmed the presence of nodular and colloform textural features. The XRD analysis showed the presence of haematite, goethite, quartz, kaolinite and ilmenite are the mineral constituents. Major–element geochemistry was determined by ICP-AES, and trace and REEs were analysed using ICP-MS. Of the major oxides, Fe2O3 (6.8–72.93 wt-%) and SiO2 (11.07–77.75 wt-%) showed significant variation with generally increasing and decreasing trends from the iron-rich duricrust to the bedrock, respectively. In the profile studied, the alkali and alkaline earth elements (Ca, Mg, Na and K) were highly depleted, suggesting that iron–duricrust near–complete leaching. Elevated values of Sr and Ba in the lower part of the profile are probably due to their abundance in the protolith material (sandstone). A considerable enrichment of V and Cr, and Zr and REEs in the iron-rich duricrust and clay-rich horizon compared to the bedrock confirms their substitution for the Feoxyhydroxides, occurring in heavy mineral phases and adsorbed onto clay minerals, respectively. The La/Y <1 indicates an acidic environment in the upper part of the profile (AD-1 to AD-6; 0.64–0.99) and La/Y >1 a basic environment in the basal part of the profile (AD-7 to AD-12; 1.13–1.58). Similarly, the (La/Yb)N ratio of samples AD-1 to AD-6 (6.81–8.05) is significantly lower than that of AD-7 to AD–12 (10.09–24.54), reflecting an acidic environment. Positive Ce anomalies in the samples of AD-1 to AD-2 (1.17–1.2) are linked to the existence of cerianite due to change in oxidation state of Ce while in AD-8 and AD-9 (0.92–0.93), it is related to adsorption of Ce ions onto clay particles protolith. Therefore, the absolute enrichment of iron in the Adi-Daero iron–duricrust deposit was most likely an in situ process that involved vertical transfer from the iron-poor sandstone source rock.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"231 - 247"},"PeriodicalIF":1.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1809956","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43881488","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 : 2020-08-20DOI: 10.1080/25726838.2020.1806676
Weldegebrial Haile, B. Konka, Z. Desta
ABSTRACT Tantalite mineralization is located at Kenticha, southern Ethiopia and hosted by granitic pegmatite. The pegmatite has intruded the low-grade Neoproterozoic basement that forms part of the southern end of Arabian Nubian Shield. Ethiopian Mineral Development Share Company is conducting open pit mining and producing about 150 tons of tantalite concentrate annually. About 500 kg concentrate with ∼50% tantalite is produced a day from 1200 tons of feed using different mineral processing techniques. Impact of dilution and ore loss on the recovery of concentrate was studied by collecting five samples, 30 kg each from the mine site and tailings. The results suggest that the effect of dilution is about 5% and ore loss in tailings is 13%. Impact of ore loss is significant compared to dilution. Ore loss can be improved by (i) adjusting the shaking tables, (ii) adjusting ore-water ratio irrespective of grain size; and (iii) dry magnetic separation.
{"title":"Evaluation of mining and mineral processing methods’ impact on tantalite concentrate in Kenticha open pit mine, southern Ethiopia","authors":"Weldegebrial Haile, B. Konka, Z. Desta","doi":"10.1080/25726838.2020.1806676","DOIUrl":"https://doi.org/10.1080/25726838.2020.1806676","url":null,"abstract":"ABSTRACT Tantalite mineralization is located at Kenticha, southern Ethiopia and hosted by granitic pegmatite. The pegmatite has intruded the low-grade Neoproterozoic basement that forms part of the southern end of Arabian Nubian Shield. Ethiopian Mineral Development Share Company is conducting open pit mining and producing about 150 tons of tantalite concentrate annually. About 500 kg concentrate with ∼50% tantalite is produced a day from 1200 tons of feed using different mineral processing techniques. Impact of dilution and ore loss on the recovery of concentrate was studied by collecting five samples, 30 kg each from the mine site and tailings. The results suggest that the effect of dilution is about 5% and ore loss in tailings is 13%. Impact of ore loss is significant compared to dilution. Ore loss can be improved by (i) adjusting the shaking tables, (ii) adjusting ore-water ratio irrespective of grain size; and (iii) dry magnetic separation.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"205 - 216"},"PeriodicalIF":1.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1806676","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44470731","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 : 2020-07-02DOI: 10.1080/25726838.2020.1805853
{"title":"Correction","authors":"","doi":"10.1080/25726838.2020.1805853","DOIUrl":"https://doi.org/10.1080/25726838.2020.1805853","url":null,"abstract":"","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"161 - 161"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1805853","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42574426","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 : 2020-07-02DOI: 10.1080/25726838.2020.1799485
S. Jowitt
We are pleased to announce that the CiteScore (CS) of the Polish Journal of Neurology and Neurosurgery (Neurologia i Neurochirurgia Polska) for 2017 increased, now registering at 0.96, and the Journal Impact Factor (IF) for 2017 remains very stable at 0.81. CS is ametric of citation impact of regularly published titles based upon analysis of Elsevier's Scopus database. There are 25,322 peer reviewed scientific titles (journals, books, conference proceedings) covered by Scopus. For comparison, Journal Citation Reports (source for calculating the IF) covers only a little over 11,000 titles. CS is a result of division of an average number of citations received by a title in a calendar year by the number of all papers published in a journal in the previous three years. CS values are available from 2011. The CS of the Polish Journal of Neurology and Neurosurgery (Neurologia i Neurochirurgia Polska) has increased throughout those years from 0.53 in 2011 to 0.96 in 2017 (Fig. 1, bars in blue), with a significant increase in comparison to 2016. IF has been calculated annually since 1975. Currently, the IF is published by Clarivate Analytics. The IF of a journal
我们很高兴地宣布，2017年波兰神经病学和神经外科杂志(Neurologia i Neurochirurgia Polska)的CiteScore (CS)增加，目前为0.96,2017年期刊影响因子(IF)保持稳定在0.81。CS是通过对爱思唯尔Scopus数据库的分析，衡量定期出版书目的引文影响的指标。Scopus收录了25,322种同行评议的科学标题(期刊，书籍，会议记录)。相比之下，Journal Citation Reports(计算影响因子的来源)只涵盖了11000多篇论文。CS是一个期刊在一个自然年中平均被引用次数除以该期刊在过去三年发表的所有论文数量的结果。CS值是从2011年开始的。这些年来，波兰神经病学和神经外科杂志(Neurologia i Neurochirurgia Polska)的CS从2011年的0.53增加到2017年的0.96(图1，蓝色条形图)，与2016年相比显著增加。自1975年起，影响因子每年计算一次。目前，IF由Clarivate Analytics发布。日志的IF
{"title":"Editorial","authors":"S. Jowitt","doi":"10.1080/25726838.2020.1799485","DOIUrl":"https://doi.org/10.1080/25726838.2020.1799485","url":null,"abstract":"We are pleased to announce that the CiteScore (CS) of the Polish Journal of Neurology and Neurosurgery (Neurologia i Neurochirurgia Polska) for 2017 increased, now registering at 0.96, and the Journal Impact Factor (IF) for 2017 remains very stable at 0.81. CS is ametric of citation impact of regularly published titles based upon analysis of Elsevier's Scopus database. There are 25,322 peer reviewed scientific titles (journals, books, conference proceedings) covered by Scopus. For comparison, Journal Citation Reports (source for calculating the IF) covers only a little over 11,000 titles. CS is a result of division of an average number of citations received by a title in a calendar year by the number of all papers published in a journal in the previous three years. CS values are available from 2011. The CS of the Polish Journal of Neurology and Neurosurgery (Neurologia i Neurochirurgia Polska) has increased throughout those years from 0.53 in 2011 to 0.96 in 2017 (Fig. 1, bars in blue), with a significant increase in comparison to 2016. IF has been calculated annually since 1975. Currently, the IF is published by Clarivate Analytics. The IF of a journal","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"89 - 90"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1799485","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45987304","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 : 2020-07-02DOI: 10.1080/25726838.2020.1791678
E. Teymori, M. Abdideh, M. Gholamzadeh
ABSTRACT Petrophysical evaluation of a formation using petrophysical logs and core data plays an important role in determining the quality of the formation and the quantitative and qualitative characteristics of the reservoir. By zoning the reservoir layers, the focus is more effectively on areas with higher potential for hydrocarbon production. This research was conducted to interpret petrophysical data to identify reservoir zoning in one of Iran's oil reservoirs. The petrophysical core data and well logging charts were integrated and adapted for the reservoir zone. For the vertical samples, four flow units were identified and the formation was divided into four reservoir zones, with most of the samples taken from the second and third zones. Six hydraulic flow units were identified for horizontal samples. In the second and third zones, the samples were closely spaced and had the petrophysical properties that are similar, but superior, to those of the other zones.
{"title":"The zoning and characterisation of heterogeneous carbonate reservoirs based on the concept of flow units","authors":"E. Teymori, M. Abdideh, M. Gholamzadeh","doi":"10.1080/25726838.2020.1791678","DOIUrl":"https://doi.org/10.1080/25726838.2020.1791678","url":null,"abstract":"ABSTRACT Petrophysical evaluation of a formation using petrophysical logs and core data plays an important role in determining the quality of the formation and the quantitative and qualitative characteristics of the reservoir. By zoning the reservoir layers, the focus is more effectively on areas with higher potential for hydrocarbon production. This research was conducted to interpret petrophysical data to identify reservoir zoning in one of Iran's oil reservoirs. The petrophysical core data and well logging charts were integrated and adapted for the reservoir zone. For the vertical samples, four flow units were identified and the formation was divided into four reservoir zones, with most of the samples taken from the second and third zones. Six hydraulic flow units were identified for horizontal samples. In the second and third zones, the samples were closely spaced and had the petrophysical properties that are similar, but superior, to those of the other zones.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"122 - 132"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1791678","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49508024","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 : 2020-07-02DOI: 10.1080/25726838.2020.1801109
B. Roshanravan, S. H. Tabatabaei, O. Kreuzer, Hamid Moini, M. Parsa
ABSTRACT Geochemical sampling media, be they rock chip, soil or stream sediment samples, routinely collected in mineral exploration, are key to detecting mineralisation-related geochemical dispersion patterns. Notwithstanding the diversity of methods applied to geochemical anomaly detection, they can be broadly divided into two major groups, namely structural and non-structural techniques. The former group covers those methods in which threshold values are assigned based on sample location while the sample locations are not required in the application of the non-structural techniques. In this study, rock chip samples from the Shadan porphyry copper–gold deposit are used to address the question as to how structural and non-structural methods can separate geochemical populations for the purpose of a deposit-scale study. It was revealed that the two structural techniques used in this study, concentration-area (C-A) fractal and U-spatial statistic methods, outperformed the non-structural techniques employed in this study.
{"title":"Structural and non-structural statistical methods: implications for delineating geochemical anomalies","authors":"B. Roshanravan, S. H. Tabatabaei, O. Kreuzer, Hamid Moini, M. Parsa","doi":"10.1080/25726838.2020.1801109","DOIUrl":"https://doi.org/10.1080/25726838.2020.1801109","url":null,"abstract":"ABSTRACT Geochemical sampling media, be they rock chip, soil or stream sediment samples, routinely collected in mineral exploration, are key to detecting mineralisation-related geochemical dispersion patterns. Notwithstanding the diversity of methods applied to geochemical anomaly detection, they can be broadly divided into two major groups, namely structural and non-structural techniques. The former group covers those methods in which threshold values are assigned based on sample location while the sample locations are not required in the application of the non-structural techniques. In this study, rock chip samples from the Shadan porphyry copper–gold deposit are used to address the question as to how structural and non-structural methods can separate geochemical populations for the purpose of a deposit-scale study. It was revealed that the two structural techniques used in this study, concentration-area (C-A) fractal and U-spatial statistic methods, outperformed the non-structural techniques employed in this study.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"129 1","pages":"111 - 121"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1801109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42713432","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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