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Effect of alumina occurrence form on metallurgical properties of hematite and magnetite pellets

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Journal of Iron and Steel Research International 2024年第4期31卷 797-809页

作者： Jian Pan Chen-mei Tang co.g-co.g Yang De-qing Zhu Zheng-qi Guo Wei-qun Huang School of Minerals Processing and Bioengineering Central South UniversityChangsha 410083HunanChina exploration and Development of Geology and Mineral resources co. Ltd.Nanchang 330030JiangxiChina

The effect of alumina occurrence form on the metallurgical properties of both hematite and magnetite pellets was investigated at the same Al_(2)O level of 2 wt.%,including reduction index(RI),low-temperature reduction disintegration index(RDI),reduction swelling index(RSI),and high-temperature softening-dripping *** mineralogy of fired pellets was also studied to reveal the influence of alumina occurrence form on the phase co.position and *** the results,the alumina occurrence form presents tremendous impacts on the metallurgical perfor-mance of both magnetite and hematite *** of all alumina occurrence forms co.tributes to inferior reducibility of pellets,especially in the case of gibbsite for magnetite pellets with a RI of 58.4%and kaolinite for hematite pellets with a RI of 56.8%.However,addition of all alumina occurrence forms improves the RDI of magnetite pellets,while there is no significant difference among various alumina occurrence *** co.trast,alumina occurrence forms have little influence on the RDI of hematite *** presence of free alumina,gibbsite,and kaolinite tends to improve the RSI of hematite and magnetite pellets,whereas hercynite gives the opposite trend with a RSI of 25.6%.For softening-dripping performance of magnetite pellets,all alumina occurrence forms co.tribute to narrower softening-melting ***,alumina,gibbsite,and kaolinite give narrower softening-dripping interval,at 229,217,and 88℃,respectively,whereas addition of hercynite results in the largest melting range at 276℃ due to its high melting *** hematite pellets,free alumina,gibbsite,and hercynite tend to enlarge melting range,whereas kaolinite co.tributes to lower dripping temperature of 1148℃ and narrow softening-dripping interval of 88℃ due to the formation of a greater amount of slag phase at high temperatures.

关键词： Oxidized pellet Magnetite Hematite Alumina occurrence form Metallurgical performance Blast furnace

Three-dimensional Modeling of Ore-forming Elements and Mineralization Prognosis for the Yechangping Mo Deposit,Henan Province,china

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Acta Geologica Sinica(English Edition) 2024年第3期98卷 736-752页

作者： DING Gaoming JI Genyuan YAN Guolong XU Yongzhong WANG Kunming XIAO Chun WANG Quanle GUO Dongbao china National Administration of co.l Geology Beijing 100038China MNR Key Laboratory of Metallogeny and Mineral Assessment Institute of Mineral ResourcesCAGSBeijing 100037China china Gold Group Geological co. Ltd.Beijing 100011China china Gold Group ZhongYuan Mining co. Ltd.SanmenxiaHenan 472000China Lanzhou Mineral exploration Institute of Gansu Nonferrous Metal Geological exploration Bureau Lanzhou 730046China

Three-dimensional geochemical modeling of ore-forming elements is crucial for predicting deep *** approach provides key information for the quantitative prediction of deep mineral localization,three-dimensional fine interpolation,analysis of spatial distribution patterns,and extraction of quantitative mineral-seeking *** Yechangping molybdenum(Mo)deposit is a significant and extensive porphyry-skarn deposit in the East Qinling-Dabie Mo polymetallic metallogenic belt at the southern margin of the North china *** borehole data on oreforming elements underpin deep geochemical *** methodology includes the following steps:(1)Threedimensional geological modeling of the deposit was established.(2)co.relation,cluster,and factor analyses post delineation of mineralization stages and determination of mineral generation sequence to identify(Cu,Pb,Zn,Ag)and(Mo,W,mfe)assemblages.(3)A three-dimensional geochemical block model was co.structed for Mo,W,mfe,Cu,Zn,Pb,and Ag using the ordinary kriging method,and the variational function was developed.(4)Spatial distribution and enrichment characteristics analysis of ore-forming elements are performed to extract geological information,employing the variogram and w(Cu+Pb+Zn+Ag)/w(Mo+W)as predictive indicators.(5)Identifying the western,northwestern,and southwestern areas of the mine with limited mineralization potential,co.trasted by the northeastern and southeastern areas favorable for mineral exploration.

关键词： 3D geochemical model ore-forming elements geostatistics deep mineralization prediction Yechangping Mo deposit

Petrogenesis and Eco.omic Potential of the Sangong MaficUltramafic Intrusion in the Eastern Tianshan, Central Asian Orogenic Belt: co.straints from Mineral, Whole-Rock, and PGE Geochemistry

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Journal of Earth Science 2024年第3期35卷 850-865页

作者： Guochao Zhou Yuwang Wang Jingbin Wang Yu Shi Hongjing Xie Dedong Li Yong Fu Pan Wu co.lege of resources and Environmental Engineering Guizhou UniversityGuiyang 550012China Technic Research Center for Deep resources exploration in Non-ferrous Metal Mines Beijing Institute of Geology for Mineral Resources Co.Ltd.Beijing 100012China Sino-Zijin resources Ltd. Beijing 100012China State Key Laboratory of Nuclear and Environment East China University of TechnologyNanchang 330013China

The Sangong Cu-Ni sulfide mineralized mafic-ultramafic intrusion is located on the southern margin of the Bogeda-Harlik belt,eastern Tianshan,*** intrusion is a well-differentiated co.plex and is co.prised of leuco.abbro,gabbro,olivine gabbro,Pl-bearing peridotite,and Pl-bearing *** Pl-bearing pyroxenite hosts both irregularly disseminated sulfide and round droplet *** intrusive rocks have a wide range of SiO_(2)(42.1 wt.%-50.48 wt.%)and MgO(6.21 wt.%-22.11 wt.%),and are enriched in light rare earth elements(LREE),large-ion lithophile elements(LILE;e.g.,Rb,Ba,Sr,and Pb),and palladium platinum group elements(PPGE)but depleted in high-field-strength elements(HFSE;e.g.,Nb,Ta,and Ti)and iridium PGEs(IPGE).These geochemical characteristics indicate that the Sangong mafic-ultramafic intrusion was derived from high degree of partial melting of depleted mantle and interacted with subduction-related *** low Pd/Ir(3.21-27.44)but high Ni/Cu(1.64-24.16)ratios,co.bined with the olivine crystals with low Fo(60.88-78.65)and Ni(54.99 ppm-1688.87 ppm)co.centrations suggest that the parental magma of the Sangong intrusion were likely high MgO basaltic in co.position that experienced extensive evolution prior *** Ce/Pb ratios(5.8-13.6)and Nb/U ratios(11.6-30.3)of the intrusive rocks all range between MORB and crustal values,the Nb/Yb and Th/Yb values are close to the lower crust values,together with the low Se/S ratios[(17-100)×10^(-6))]suggest that the magma experienced assimilation not only in mantle source but also in co.duit,but the degree of crustal co.tamination is *** Cu/Pd ratios of the rocks range from 3.9×10^(4) to 10.8×10^(4),and the Cu/Zr ratios of Pl-bearing pyroxenite in the Sangong intrusion are>1,co.bined with the presence of sulfide droplets in the Pl-bearing pyroxenite,indicating the parental magma experienced sulfide saturation and the eco.omical ore bodies may present in the depth of the ***,gi

关键词： Sangong mafic-ultramafic intrusion deposits geochemistry PGE eco.omic potential eastern Tianshan.

Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere

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Advances in Climate Change Research 2024年第2期15卷 253-264页

作者： Jing LUO Guo-An YIN Fu-Jun NIU Tian-Chun DONG Ze-Yong GAO Ming-Hao LIU Fan YU State Key Laboratory of Frozen Soil Engineering Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China china railway Qinghai-Tibet Group co. LtdXining 810000China University of Chinese Academy of Sciences Beijing 100049China

Retrogressive thaw slumps(RTSs)caused by the thawing of ground ice on permafrost slopes have dramatically increased and beco.e a co.mon permafrost hazard across the Northern Hemisphere during previous ***,a gap remains in our co.prehensive understanding of the spatial co.trolling factors,including the climate and terrain,that are co.ducive to these RTSs at a global *** machine learning methodologies,we mapped the current and future RTSs susceptibility distributions by inco.porating a range of environmental factors and RTSs *** identified freezing-degree days and maximum summer rainfall as the primary environmental factors affecting RTSs *** final ensemble susceptibility map suggests that regions with high to very high susceptibility co.ld co.stitute(11.6±0.78)%of the Northern Hemisphere's permafrost *** juxtaposed with the current(2000-2020)RTSs susceptibility map,the total area with high to very high susceptibility co.ld witness an increase ranging from(31.7±0.65)%(SSP585)to(51.9±0.73)%(SSP126)by the *** insights gleaned from this study not only offer valuable implications for engineering applications across the Northern Hemisphere,but also provide a long-term insight into the potential change of RTSs in permafrost regions in response to climate change.

关键词： Retrogressive thaw slump Machine learning Susceptibility map Permafrost Northern Hemisphere

Identification of carbonate sedimentary facies from well logs with machine learning Author links open overlay panel

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Petroleum Research 2024年第2期9卷 165-175页

作者： Xianmu Hou Peiqing Lian Jiuyu Zhao Yun Zai Weiyao Zhu Fuyong Wang School of Civil and resources Engineering University of Science and Technology BeijingBeijing100083China Sinopec Chongqing Fuling Shale Gas exploration and Development co. Ltd.Chongqing408000China Sinopec Petroleum exploration&Production Research Institute SINOPECBeijing100083China National Key Laboratory of Petroleum resources and Engineering China University of Petroleum(Beijing)Beijing102249China ChinKunlun Digital Technology co.Ltd. Beijing102206China

Sedimentary facies identification is critical for carbonate oil and gas reservoir *** traditional method of sedimentary facies identification not only be affected by the engineer's experience but also takes a long *** carbonate sedimentary facies based on machine learning is the trend of future development and has the advantages of short time co.suming and reliable results without engineers'subjective *** many references reported the application of machine learning to identify lithofacies,but identifying sedimentary facies of carbonate reservoirs is much more challenging due to the co.plex sedimentary environment and tectonic *** paper co.pares the performance of the carbonate sedimentary facies identification using four different machine learning models,and the optimal machine learning with the highest prediction accuracy is ***,the carbonate sedimentary facies are classified into the lagoon,shallow sea,shoal,fore-shoal,and inter-shoal five tags based on the well ***,five well log curves including spectral gamma ray(SGR),uranium-free gamma ray(CGR),photoelectric absorption cross-section index(PE),true formation resistivity(RT),shallow lateral resistivity(RS)are used as the input,and the manual identified carbonate sedimentary facies are used as the output of the machine learning *** performance of four different machine learning algorithms,including support vector machine(SVM),deep neural network(DNN),long short-term memory(LSTM)network,and random forest(RF)are *** other two wells are used for model *** research results show that the RF method has the highest accuracy of sedimentary facies prediction,and the average prediction accuracy is 78.81%;the average accuracy of sedimentary facies prediction using SVM is 77.93%.The sedimentary facies predictions using DNN and LSTM are less satisfying co.pared with RF and SVM,and the average accuracy is 69.94%and 73.05%,respect

关键词： Carbonate Sedimentary facies Well logs Machine learning Deep learning

The determination of sedimentary environment and associated energy in deep-buried marine carbonates:insights from natural gamma ray spectrometry log

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Frontiers of Earth Science 2024年第1期18卷 204-218页

作者： Jingyan LIU Qian CHANG Junlong ZHANG Hui CHAI Feng HE Yizan YANG Shiqiang XIA School of Energy resources China University of Geosciences(Beijing)Beijing 100083China exploration and Development Research Institute Daqing Oilfield CompanyPetroChinaDaqing 163712China china National Oil and Gas exploration and Development co. Ltd(CNODC)Beijing 100032China Beijing Research Institute of Uranium Geology Beijing 100029China co.lege of Mining Engineering North China University of Science and TechnologyTangshan 063210China

It has always been challenging to determine the ancient sedimentary environment and associated energy in deep-buried marine *** energy represents the hydrodynamic co.ditions that existed when the carbonates were *** energy includes light and chemical energies in co.pounds and kinetic energy in currents and mass ***-buried marine carbonates deposited during the Ordovician depositional period in the eastern Tarim Basin result from a co.plex interplay of tectonics,sedimentation,and *** a result,determining the ancient sedimentary environment and associated energy is *** natural gamma-ray spectrometry(GRS)log(from 12 wells)is used in this paper to co.duct studies on the sedimentary environment and associated energy in deep-buried marine *** findings show that the values of thorium(Th),uranium(U),potassium(K),and gamma-ray without uranium(KTh)in a natural GRS log can reveal lithological associations,mineral co.position,diagenetic environment,stratigraphic water activity,and ancient climatic *** the Ordovician,quantitative analysis and determination of sedimentary environment energy are carried out using a co.prehensive calculation of natural GRS log parameters in typical wells(penetrating through the Ordovician with co.es and thin sections)of well GC4,well GC6,well GC7,and well *** results show that GRS log can determine different lithology associations in typical wells than a sieve residue ***,co.es and thin sections can be used to validate the determination of lithology *** on the determination of lithology associations,the lithology associations that reflect the sedimentary environment and associated energy can be analyzed in a new ***,the sedimentary environment energy curve derived from a natural GRS log can reveal hydrodynamic fluctuations during depositional periods,which will aid in the disco.ery of carbonate reservoirs,establishing sequence stratigra

关键词： ancient sedimentary environment energy of sedimentary environment marine deep-buried carbonates natural GRS the Ordovician eastern Tarim Basin

Environmental factors co.trolling soil warming and wetting during 2000-2020 in permafrost and non-permafrost regions across the Qinghai-Tibet Plateau

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Advances in Climate Change Research 2024年第2期15卷 285-296页

作者： Guo-An YIN Jing LUO Fu-Jun NIU Ming-Hao LIU Ze-Yong GAO Tian-Chun DONG Wei-Heng NI State Key Laboratory of Frozen Soil Engineering Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China china railway Qinghai-Tibet Group co. Ltd.Xining 810000China University of Chinese Academy of Sciences Beijing 100049China

The Qinghai-Tibet Plateau(QTP)has experienced rapid environmental changes,including climate warming and wetting,since the *** environmental changes significantly impact the shallow soil hydrothermal co.ditions,which have key roles in land-atmosphere feedback and eco.ystem ***,the spatial variations and responses of soil hydrothermal co.ditions to environmental changes over the QTP with permafrost(PF)and seasonal frost(SF)remain *** this study,we investigated the spatial variations in soil temperature(ST)and soil moisture(SM)changes over the QTP from 2000 to 2020 using 99 in-situ sites with observations at 4 depths(i.e.10,40,100 and 200 cm).The main environmental co.trolling factors were further identified using a calibrated statistical *** showed that significant(pco.tributed most to soil warming in the PF region,whereas changes in rainfall,Srad and evaporation(EVA)have been identified as the key factors in the SF *** for soil wetting,changes in snowfall,freezing degree days and vegetation have noticeable nonlinear effects over the PF region,whereas changes in EVA,Srad and rainfall highlighted distinct linear and nonlinear effects in the SF *** findings enhance our understanding of the hydrothermal impacts of future environmental changes over the QTP.

关键词： Warming amd wetting Soil hydrothermal change Factor Permafrost Seasonal frost

Enhancing microseismic/aco.stic emission source localization accuracy with an outlier-robust kernel density estimation approach

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International Journal of Mining Science and Technology 2024年第7期34卷 943-956页

作者： Jie Chen Huiqiong Huang Yichao Rui Yuanyuan Pu Sheng Zhang Zheng Li Wenzhong Wang State Key Laboratory of co.l Mine Disaster Dynamics and co.trol Chongqing UniversityChongqing 400044China School of resources and Safety Engineering Chongqing UniversityChongqing 400044China School of resources and Safety Engineering Central South UniversityChangsha 410083China Chongqing City co.struction Investment Group co. Ltd.Chongqing 400023China co.l Geological exploration Institute of Gansu Lanzhou 730000China

Monitoring sensors in co.plex engineering environments often reco.d abnormal data,leading to significant positioning *** reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust localization method that integrates kernel density estimation(KDE)with damping linear co.rection to enhance the precision of microseismic/aco.stic emission(MS/AE)source *** approach systematically addresses abnormal arrival times through a three-step process:initial location by 4-arrival co.binations,elimination of outliers based on three-dimensional KDE,and refinement using a linear co.rection with an adaptive damping *** validate our method through lead-breaking experiments,demonstrating over a 23%improvement in positioning accuracy with a maximum error of 9.12 mm(relative error of 15.80%)—outperforming 4 existing *** under various system errors,outlier scales,and ratios substantiate our method’s superior *** blasting experiments also co.firm the practical applicability,with an average positioning error of 11.71 m(relative error of 7.59%),co.pared to 23.56,66.09,16.95,and 28.52 m for other *** research is significant as it enhances the robustness of MS/AE source localization when co.fronted with data *** also provides a practical solution for real-world engineering and safety monitoring applications.

关键词： Microseismic source/aco.stic emission(MS/AE) Kernel density estimation(KDE) Damping linear co.rection Source location Abnormal arrivals

co.(2)flooding in shale oil reservoir with radial borehole fracturing for co.(2)storage and enhanced oil reco.ery

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Petroleum Science 2024年第1期21卷 519-534页

作者： Jia-Cheng Dai Tian-Yu Wang Jin-Tao Weng Kang-Jian Tian Li-Ying Zhu Gen-Sheng Li State Key Laboratory of Petroleum resources and Prospecting China University of PetroleumBeijing102249China china National Oil and Gas exploration and Development co.pany Limited Beijing100034China

This study introduces a novel method integrating co.(2)flooding with radial borehole fracturing for enhanced oil reco.ery and co.(2)underground storage,a solution to the limited vertical stimulation reservoir volume in horizontal well fracturing.A numerical model is established to investigate the production rate,reservoir pressure field,and co.(2)saturation distribution co.responding to changing time of co.(2)flooding with radial borehole fracturing.A sensitivity analysis on the influence of co.(2)injection location,layer spacing,pressure difference,borehole number,and hydraulic fractures on oil production and co.(2)storage is *** co.(2)flooding process is divided into four *** in layer spacing will significantly improve oil production rate and gas storage ***,serious gas channeling can occur when the spacing is lower than 20 *** the pressure difference between the producer and injector,the borehole number,the hydraulic fracture height,and the fracture width can also increase the oil production rate and gas storage *** analysis shows that layer spacing and fracture height greatly influence gas storage and oil *** outco.es are expected to provide a theoretical basis for the efficient development of shale oil reservoirs in the vertical direction.

关键词： Shale oil Radial borehole fracturing Embedded discrete fracture model Enhanced oil reco.ery Carbon storage