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模拟CO_2埋藏的煤储层元素迁移实验研究
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作者 刘长江 桑树勋 +1 位作者 g.x.wang Sue Golding 《中国煤炭地质》 2010年第1期20-23,26,共5页
采用高压超临界CO2地球化学反应器对CO2在煤储层中的地质埋藏进行模拟,利用电感耦合等离子体发射光谱仪(ICP-OES)以及电感耦合等离子体质谱(ICP-MS)分别对淋滤液和煤样中的10种微量元素进行测试,对煤中微量元素在CO2的地质埋藏过程中的... 采用高压超临界CO2地球化学反应器对CO2在煤储层中的地质埋藏进行模拟,利用电感耦合等离子体发射光谱仪(ICP-OES)以及电感耦合等离子体质谱(ICP-MS)分别对淋滤液和煤样中的10种微量元素进行测试,对煤中微量元素在CO2的地质埋藏过程中的迁移进行了实验研究。结果表明:在CO2的地质埋藏过程中对煤的有机组成和无机矿物等均具有改造作用,从而影响到煤中微量元素的赋存和迁移特征,Cr、Zn、Cu等元素迁移能力相对较强,而Co、Ba、V等元素相对较弱;元素迁移能力大小顺序为:Cr>Zn>Cu>Ni>Cd>Mn>Co>Ba>V。 展开更多
关键词 CO2地质埋藏 元素迁移
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高炉喷煤预测模型
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作者 g.x.wang 石奇雄 《梅山科技》 1999年第4期54-59,共6页
1 引言高炉喷煤被认为是一项合理利用煤炭资源的有发展前途的技术。由于喷煤可减少焦炭消耗,因而可节省基建投资,改善环境。由于焦炉老化,并且为了降低原料成本,全世界180家有高炉的钢铁企业中约有三分之一的高炉装备了喷煤装置,并且喷... 1 引言高炉喷煤被认为是一项合理利用煤炭资源的有发展前途的技术。由于喷煤可减少焦炭消耗,因而可节省基建投资,改善环境。由于焦炉老化,并且为了降低原料成本,全世界180家有高炉的钢铁企业中约有三分之一的高炉装备了喷煤装置,并且喷煤比不断上升。 展开更多
关键词 化学模型 预测模型 喷煤 高炉 炼铁
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One Dimensional Nanostructures for Lithium-ion Batteries, Gas Sensors and Optoelectronics Applications 被引量:1
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作者 g.x.wang M.S.Park +6 位作者 J.S.Park X.L.Gou J.Yang D.Wexler J.Z.Wang J.Yao H.K.Liu 《复旦学报(自然科学版)》 CAS CSCD 北大核心 2007年第5期763-,共1页
1 Results One dimensional (1D) nanostructures such as nanowires,nanotubes,nanorods and nanoribbons have been extensively investigated for a wide range of applications[1].Here,we present the synthesis,characterization ... 1 Results One dimensional (1D) nanostructures such as nanowires,nanotubes,nanorods and nanoribbons have been extensively investigated for a wide range of applications[1].Here,we present the synthesis,characterization and technological applications of several 1D nanostructures including SnO2 nanowires,CuO nanoribbons,CdSe nanowires and In2O3 nanowires.SnO2 nanowires were synthesized by thermal evaporation combined with a self-catalyzed growth procedure.Scanning electron microscopy (SEM) observation shows... 展开更多
关键词 1 D nanostructure Li-ion battery gas sensors OPTOELECTRONICS
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A multi-scale model for CO_(2) sequestration enhanced coalbed methane recovery
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作者 g.x.wang X.R.WEI +2 位作者 V.RUDOLPH C.T.WEI Y.QIN 《Frontiers of Chemical Science and Engineering》 SCIE EI CSCD 2009年第1期20-25,共6页
This paper presents a multi-scale model to simulate the multicomponent gas diffusion andflow in bulk coals for CO_(2) sequestration enhanced coalbed methane recovery.The model is developed based on a bi-dispersed struc... This paper presents a multi-scale model to simulate the multicomponent gas diffusion andflow in bulk coals for CO_(2) sequestration enhanced coalbed methane recovery.The model is developed based on a bi-dispersed structure model by assuming that coal con-sists of microporous micro-particles,meso/macro-pores and open microfractures.The bi-disperse diffusion theory and the Maxwell-Stefan approach were incorporated in the model,providing an improved simulation of the CH4-CO_(2)/CH4-N2 counter diffusion dynamics.In the model,the counter diffusion process is numerically coupled with theflow of the mixture gases occurring within macro-pores or fractures in coal so as to account for the interaction between diffusion andflow in gas transport through coals.The model was validated by both experimental data from literature and our CO_(2)flush tests,and shows an excellent agreement with the experiments.The results reveal that the gas diffusivities,in particular the micro-pore diffusivities are strongly concentration-dependent. 展开更多
关键词 multi-scale model gas transport COAL coalbed methane CO_(2)sequestration
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