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HSSRNet: A Self-Supervised Residual Learning Model for Alteration Mineral Identification Using Drill-Core Hyperspectral Data 基于钻芯高光谱数据的蚀变矿物识别自监督残差学习模型
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-08-19 DOI: 10.1007/s11053-026-10754-4
Pan Wang, Hengqian Zhao, Zhiguo Liu, Youpeng Tao, Qunfeng Miao, Siyuan Liu, Mengyun Han, Sijun Cheng
{"title":"HSSRNet: A Self-Supervised Residual Learning Model for Alteration Mineral Identification Using Drill-Core Hyperspectral Data","authors":"Pan Wang, Hengqian Zhao, Zhiguo Liu, Youpeng Tao, Qunfeng Miao, Siyuan Liu, Mengyun Han, Sijun Cheng","doi":"10.1007/s11053-026-10754-4","DOIUrl":"https://doi.org/10.1007/s11053-026-10754-4","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"131 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148769025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effect of Water Immersion on the Dynamic Strength Reduction and Energy Consumption Prediction Model of Magnetite Ore under Impact Loading 浸水对冲击载荷下磁铁矿动强度折减及能耗预测模型的影响
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-08-11 DOI: 10.1007/s11053-026-10736-6
Haikuan Sun, Deqing Gan, Zhiyi Liu, Zhenlin Xue
{"title":"Effect of Water Immersion on the Dynamic Strength Reduction and Energy Consumption Prediction Model of Magnetite Ore under Impact Loading","authors":"Haikuan Sun, Deqing Gan, Zhiyi Liu, Zhenlin Xue","doi":"10.1007/s11053-026-10736-6","DOIUrl":"https://doi.org/10.1007/s11053-026-10736-6","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"161 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148728781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning-Informed Symbolic Regression for Solution Gas–Oil Ratio Estimation 基于深度学习的符号回归解气油比估计
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-08-08 DOI: 10.1007/s11053-026-10752-6
Caspar Daniel Adenutsi, Tahiru Abdul-Mumin, Samuel Erzuah, Kwame Sarkodie
{"title":"Deep Learning-Informed Symbolic Regression for Solution Gas–Oil Ratio Estimation","authors":"Caspar Daniel Adenutsi, Tahiru Abdul-Mumin, Samuel Erzuah, Kwame Sarkodie","doi":"10.1007/s11053-026-10752-6","DOIUrl":"https://doi.org/10.1007/s11053-026-10752-6","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"158 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148690904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evolution of Functional Groups in Coal–Oil System Under Low-Temperature Oxidation and Its Correlation with Gas Release Characteristics 低温氧化下煤-油体系中官能团的演化及其与气体释放特性的关系
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-08-07 DOI: 10.1007/s11053-026-10730-y
Lintao Hu, Wei Lu, Qingsong Zhang, Hongqing Zhu, Ruoyi Tao
{"title":"Evolution of Functional Groups in Coal–Oil System Under Low-Temperature Oxidation and Its Correlation with Gas Release Characteristics","authors":"Lintao Hu, Wei Lu, Qingsong Zhang, Hongqing Zhu, Ruoyi Tao","doi":"10.1007/s11053-026-10730-y","DOIUrl":"https://doi.org/10.1007/s11053-026-10730-y","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"59 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148690812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Targeting Sensitivity and Selectivity in Data-Driven Mineral Prospectivity Mapping in Response to Mineral System-Based Geodata Annotation: Experimental Studies Using Pan-Canadian Copper Annotation and Philosophical Implications 基于矿物系统的地质数据注释在数据驱动的矿物找矿性制图中的敏感性和选择性:使用泛加拿大铜注释的实验研究及其哲学意义
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-08-06 DOI: 10.1007/s11053-026-10691-2
Steven E. Zhang, Mohammad Parsa, Laura-Jane Eagleson, Christopher J. M. Lawley, Dianne Mitchinson, Renato Cumani
{"title":"Targeting Sensitivity and Selectivity in Data-Driven Mineral Prospectivity Mapping in Response to Mineral System-Based Geodata Annotation: Experimental Studies Using Pan-Canadian Copper Annotation and Philosophical Implications","authors":"Steven E. Zhang, Mohammad Parsa, Laura-Jane Eagleson, Christopher J. M. Lawley, Dianne Mitchinson, Renato Cumani","doi":"10.1007/s11053-026-10691-2","DOIUrl":"https://doi.org/10.1007/s11053-026-10691-2","url":null,"abstract":"The nature of targets extracted through data-driven mineral prospectivity mapping (DD-MPM) is dependent on geodata annotation. However, geodata annotation is noisy because mineral systems are complex systems and the definition of positivity changes with annotator, jurisdiction and time. Consequently, historically annotated data (HAD), which are the exhaustive collection of labeled samples (sites) that have accumulated over the history of exploration, is a noisy and subjective source of ground truth. However, the spatial sensitivity and selectivity of DD-MPM products to annotation is quantitatively unknown. Although HAD are always used at large scales of MPM, the cost-to-benefit analysis of improving and augmenting them is unclear because of inherent limitations of DD-MPM, including: (1) scientific confounds that ironically bias targeting toward the known as opposed to truly greenfield; (2) research design challenges that create circular logic during validation; and (3) geoscience and implementation uncertainty that make DD-MPM products heuristic. We conducted two experiments to: (1) verify the distribution of noisy positive samples in HAD and test whether a minority of samples carry a majority of information; and (2) assess the effectiveness of mineral system constraints by annotating maximally separable mineral systems of a commodity and relating their target overlap with class separability. Using a HAD database containing all copper samples in Canada, we observed that: (1) about 14% of the cleanest samples in HAD generated 71% of all spatial targets; and (2) fully separable mineral systems generated spatially overlapping targets, which is a hypothesis-generating finding. Together, these results (a) provide scientific evidence for annotation noise, its characteristics and impact; and (b) highlight the value of HAD and the need for more rigorous frameworks of mineral system-based DD-MPM.","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"26 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148690813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unsupervised Machine Learning Identifies Trace Element Indicators for Protolith Discrimination and REE Targeting of Granitoid Regolith 无监督机器学习识别花岗岩类风化层原岩和稀土元素定位的微量元素指标
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-07-31 DOI: 10.1007/s11053-026-10744-6
Long Guo, Wei Tan, Mengqi Han, Lianying Luo, Qihang Yin, Xiaoliang Liang, Jianxi Zhu
{"title":"Unsupervised Machine Learning Identifies Trace Element Indicators for Protolith Discrimination and REE Targeting of Granitoid Regolith","authors":"Long Guo, Wei Tan, Mengqi Han, Lianying Luo, Qihang Yin, Xiaoliang Liang, Jianxi Zhu","doi":"10.1007/s11053-026-10744-6","DOIUrl":"https://doi.org/10.1007/s11053-026-10744-6","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"8 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148682306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Kinetic Characteristics and Migration Behavior of Fractal-Based Sub-Diffusion of Coal Reservoir Gas under Anomalous Spatio-Temporal Conditions 异常时空条件下煤储层气分形亚扩散动力学特征及运移行为
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-07-31 DOI: 10.1007/s11053-026-10749-1
Zhenyang Wang, Shuo Zhang, Congmeng Hao, Lu Bai, Rong Zhang, Guanhua Ni, Zhen Liu, Zhao Li, Jiaxuan Liu
{"title":"Kinetic Characteristics and Migration Behavior of Fractal-Based Sub-Diffusion of Coal Reservoir Gas under Anomalous Spatio-Temporal Conditions","authors":"Zhenyang Wang, Shuo Zhang, Congmeng Hao, Lu Bai, Rong Zhang, Guanhua Ni, Zhen Liu, Zhao Li, Jiaxuan Liu","doi":"10.1007/s11053-026-10749-1","DOIUrl":"https://doi.org/10.1007/s11053-026-10749-1","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"59 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148682307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SWIR Hyperspectral Reflectance Spectroscopy for Lithium Exploration in Pegmatites from Boam Deposit Area in Uljin, South Korea 韩国蔚珍Boam矿区伟晶岩锂的SWIR高光谱反射光谱勘探
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-07-30 DOI: 10.1007/s11053-026-10753-5
Young-Sun Son, Il-Hwan Oh, Sang-Gun No, Kwang-Eun Kim, Chul-Ho Heo, Jong-Kyu Park, Seong-Jun Cho
{"title":"SWIR Hyperspectral Reflectance Spectroscopy for Lithium Exploration in Pegmatites from Boam Deposit Area in Uljin, South Korea","authors":"Young-Sun Son, Il-Hwan Oh, Sang-Gun No, Kwang-Eun Kim, Chul-Ho Heo, Jong-Kyu Park, Seong-Jun Cho","doi":"10.1007/s11053-026-10753-5","DOIUrl":"https://doi.org/10.1007/s11053-026-10753-5","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"46 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148682470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Economic Definition of Ore: Grade Cut-Offs or Geometallurgical Response? 矿石的经济定义:品位界限还是地质冶金反应?
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-07-26 DOI: 10.1007/s11053-026-10740-w
F. G. F. Niquini, J. F. C. L. Costa, C. L. Schneider, M. A. S. Pereira
{"title":"Economic Definition of Ore: Grade Cut-Offs or Geometallurgical Response?","authors":"F. G. F. Niquini, J. F. C. L. Costa, C. L. Schneider, M. A. S. Pereira","doi":"10.1007/s11053-026-10740-w","DOIUrl":"https://doi.org/10.1007/s11053-026-10740-w","url":null,"abstract":"The definition of ore and waste blocks is typically made using run-of-mine cut-off grades, calculated with Lane’s formula. This approach implicitly considers metallurgical recovery and yield; however, it overlooks one important ore property: the quality of the product concentrate. This problem can be overcome by leveraging extensive geometallurgical knowledge and this paper presents an example of the gains that can be achieved by using this information. The study was conducted in a phosphate mine, where the current definition of ore/waste blocks is based on P <jats:sub>2</jats:sub> O <jats:sub>5</jats:sub> and CaO grades. The general solution proposed here is to incorporate geometallurgical information in the cut-off’s decision-making process by applying hierarchical indicator kriging to assign a concentrate category to each block and to apply a neural network to forecast each block yield. This information (yield and block category) is then used to define a block as ore, marginal ore, or waste. Using the proposed approach, the percentage of blocks classified as ore in the bebedourite domain was 61.6% of all bebedourite blocks, whereas using the current criterion, this number was only 23%, highlighting a significant amount of ore not taken into account when using the traditional method. For the carbonatite domain, the impact was in the opposite direction, as 27.6% of the carbonatite blocks were classified as ore using the current criterion, and when the geometallurgical cut-off was applied, the number of ore blocks became only 8.2% of all carbonatite blocks, showing that several waste blocks would have been misclassified as ore.","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"71 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148587110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Desorption–Diffusion Characteristics of Gas in Coal Under Coupled Temperature–Pressure Conditions: Their Antagonistic Effects and Impacts on Gas Transport in Deep Coal Seams 温-压耦合条件下煤中气体解吸-扩散特性及其对深部煤层气体输运的拮抗作用
IF 5.4 2区 地球科学
Natural Resources Research Pub Date : 2026-07-24 DOI: 10.1007/s11053-026-10751-7
Wei Zhao, Haichao Li, Kai Wang, Jiaxun Huang, Bo Li, Lihui Wang, Haozhen Zhou, Yidu Hong
{"title":"Desorption–Diffusion Characteristics of Gas in Coal Under Coupled Temperature–Pressure Conditions: Their Antagonistic Effects and Impacts on Gas Transport in Deep Coal Seams","authors":"Wei Zhao, Haichao Li, Kai Wang, Jiaxun Huang, Bo Li, Lihui Wang, Haozhen Zhou, Yidu Hong","doi":"10.1007/s11053-026-10751-7","DOIUrl":"https://doi.org/10.1007/s11053-026-10751-7","url":null,"abstract":"","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"4 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148587111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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