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基于压力积累的二氧化碳储存场地筛选与选择
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作者 Simon A. Mathias Paul E. Hardisty +2 位作者 Mark R. Trudell 赵玉军(翻译) 孙建平(校对) 《水文地质工程地质技术方法动态》 2011年第1期1-9,共9页
本文介绍了一种用于评估咸水层中超临界二氧化碳(CO2)注入引起的压力积累,以及在岩层开始破裂时极限压力的简易方法。利用Mathias等学者提出的近似解法计算压力积累。该方法主要用于评估可压缩多孔介质中的两相Forchheimer流(超临... 本文介绍了一种用于评估咸水层中超临界二氧化碳(CO2)注入引起的压力积累,以及在岩层开始破裂时极限压力的简易方法。利用Mathias等学者提出的近似解法计算压力积累。该方法主要用于评估可压缩多孔介质中的两相Forchheimer流(超临界二氧化碳和咸水),也可用于评估岩层和这两种液相的可压缩性。假定注入压力受岩层破裂所需压力的限制;假定在孔隙压力超过最小主应力时岩层发生破裂,这些将依次与岩层的泊松比有关。本文也提供了用于评估咸水和二氧化碳粘滞性、密度和可压缩性的详细指南。在平原二氧化碳减排(PCOR)合作计划文本数据中提供了这些计算实例。这种方法将有效用于筛选分析潜在的二氧化碳注入场地,以鉴别是否值得开展进一步调查。 展开更多
关键词 二氧化碳储存 水力压裂 压力积累 筛选工具 储存容量
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岩盐沉淀对咸水层二氧化碳地质封存注入过程的影响:以江汉盆地为例 被引量:13
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作者 柯怡兵 李义连 +3 位作者 张炜 董建兴 房琦 武荣华 《地质科技情报》 CAS CSCD 北大核心 2012年第3期109-115,共7页
依托江汉盆地基础地质和水文地质数据,通过建立新沟嘴组一维、二维径向数值模型,对该储层进行CO2封存注入数值模拟研究,分析二氧化碳注入储层后,咸水层中发生的地球物理化学作用。以CO2的溶解作用和岩盐的沉淀作用为主,分析它们对储层... 依托江汉盆地基础地质和水文地质数据,通过建立新沟嘴组一维、二维径向数值模型,对该储层进行CO2封存注入数值模拟研究,分析二氧化碳注入储层后,咸水层中发生的地球物理化学作用。以CO2的溶解作用和岩盐的沉淀作用为主,分析它们对储层压力和注入性的影响。模拟结果表明,二氧化碳注入储层后,近井周围会形成3个分区,即纯液相区、两相混相区、盐沉淀区;盐沉淀会导致压力积累严重,影响CO2可注入性;对盐度的敏感性分析表明,咸水含水层盐度越大,压力积累会越严重。因此,江汉盆地CO2地质封存应考虑盐度的影响,采取相关缓解压力积累的措施。 展开更多
关键词 二氧化碳地质封存 岩盐沉淀 咸水含水层 压力积累 可注入性
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Fatigue behavior and cumulative damage rule of concrete under cycli ccompression with constant confined stress 被引量:1
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作者 朱劲松 高嫦娥 宋玉普 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2005年第5期528-535,共8页
The effects of different lateral confinement stress on the fatigue behavior and cumulative damage of plain concrete were investigated experimentally. Eighty 100mm×100mm×100mm specimens of ordinary strength c... The effects of different lateral confinement stress on the fatigue behavior and cumulative damage of plain concrete were investigated experimentally. Eighty 100mm×100mm×100mm specimens of ordinary strength concrete were tested with constant-or variable-amplitude cyclic compression and lateral confinement pressure in two orthogonal directions. A fatigue equation was gained by modifying the classical Aas-Jakobsen S-N equation and used for taking into account the effect of the confined stress on fatigue strength of plain concrete. The present study indicates that the fatigue failure is greatly influenced by the sequence of applied variable-amplitude fatigue loading, and Miner’s rule is inapplicable to predict the residual fatigue life, especially in the sequence of low to high. The present research also shows that the exponent d of the Corten-Dolan’s damage formula is a constant depending on the materials and the levels of load spectrum, and d can be determined through the two-stage fatigue tests. The residual fatigue lives predicted by Corten-Dolan’s damage formula are found to be in good agreement with the results of the experiments. 展开更多
关键词 CONCRETE FATIGUE strength cyclic compression constant confined stress damage cumulative life predicting
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Grand canonical Monte Carlo simulation for hydrogen uptakes based on nanoporous NaBH_4
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作者 REN Juan ZHANG Hong +2 位作者 TANG YongJian WU WeiDong WANG ChaoYang 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2013年第8期1525-1532,共8页
A new hydrogen storage route of 3D nanoporous sodium borohydride (NPSB) generated by removing special atoms is proposed in this work. Three different size pores of NPSB-1 (7), NPSB-2 (10) and NPSB-3 (14) are presented... A new hydrogen storage route of 3D nanoporous sodium borohydride (NPSB) generated by removing special atoms is proposed in this work. Three different size pores of NPSB-1 (7), NPSB-2 (10) and NPSB-3 (14) are presented, and the hydrogen storage capacities of these NPSBs are simulated by employing a grand canonical Monte Carlo (GCMC) procedure for a temperature range of 77-298 K and a pressure range of 0.1-100 bar. The effects of pore diameter, temperature and pressure on the hydrogen adsorption have been examined. The results show that the adsorption of hydrogen decreases and increases with increasing temperature and hydrogen pressure, respectively. It also reflects that the hydrogen adsorption capacities at higher pressures are dependent on pore diameter, while independent of pore diameter at lower pressures. 展开更多
关键词 NANOPOROUS hydrogen storage GCMC NABH4
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Volatile organic compounds sensing based on Bennet doubler-inspired triboelectric nanogenerator and machine learning-assisted ion mobility analysis
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作者 Jianxiong Zhu Zhongda Sun +3 位作者 Jikai Xu Rafal D.Walczak Jan ADziuban Chengkuo Lee 《Science Bulletin》 SCIE EI CSCD 2021年第12期1176-1185,M0003,共11页
Ion mobility analysis is a well-known analytical technique for identifying gas-phase compounds in fastresponse gas-monitoring systems.However,the conventional plasma discharge system is bulky,operates at a high temper... Ion mobility analysis is a well-known analytical technique for identifying gas-phase compounds in fastresponse gas-monitoring systems.However,the conventional plasma discharge system is bulky,operates at a high temperature,and inappropriate for volatile organic compounds(VOCs)concentration detection.Therefore,we report a machine learning(ML)-enhanced ion mobility analyzer with a triboelectric-based ionizer,which offers good ion mobility selectivity and VOC recognition ability with a small-sized device and non-strict operating environment.Based on the charge accumulation mechanism,a multi-switched manipulation triboelectric nanogenerator(SM-TENG)can provide a direct current(DC)bias at the order of a few hundred,which can be further leveraged as the power source to obtain a unique and repeatable discharge characteristic of different VOCs,and their mixtures,with a special tip-plate electrode configuration.Aiming to tackle the grand challenge in the detection of multiple VOCs,the ML-enhanced ion mobility analysis method was successfully demonstrated by extracting specific features automatically from ion mobility spectrometry data with ML algorithms,which significantly enhance the detection ability of the SM-TENG based VOC analyzer,showing a portable real-time VOC monitoring solution with rapid response and low power consumption for future internet of things based environmental monitoring applications. 展开更多
关键词 Machine learning Volatile organic compounds Ion mobility Triboelectric nanogenerator Plasma discharge
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