期刊文献+
共找到6篇文章
< 1 >
每页显示 20 50 100
从高温煤焦油中分离缩合芳香族化合物的基础研究和技术开发 被引量:8
1
作者 魏贤勇 宗志敏 +24 位作者 赵炜 倪中海 曹景沛 樊星 赵云鹏 刘滋武 彭耀丽 梁静 赵小燕 陶雪钰 亢玉红 莫文龙 丛兴顺 王玉高 刘中秋 刘光辉 郭宪厚 麻志浩 高华帅 李佳昊 陈逸峰 闫卫卫 尹凡 蒋志杰 余新柯 《石油学报(石油加工)》 EI CAS CSCD 北大核心 2022年第3期500-511,共12页
高温煤焦油(High-temperature coal tar,简称HTCT)是以焦煤为主的烟煤在隔绝空气的条件下于1000℃左右热解得到的深褐色黏稠状液体,一般占原料煤质量的5%左右。HTCT的组成极其复杂,主要组分是缩合芳香族化合物,特别是缩合芳烃。缩合芳... 高温煤焦油(High-temperature coal tar,简称HTCT)是以焦煤为主的烟煤在隔绝空气的条件下于1000℃左右热解得到的深褐色黏稠状液体,一般占原料煤质量的5%左右。HTCT的组成极其复杂,主要组分是缩合芳香族化合物,特别是缩合芳烃。缩合芳香族化合物用途广泛,是十分重要的有机化学品。作为纯品,缩合芳香族化合物的价格一般随着芳环缩合程度的增加而剧增;在相同环数的情况下,含杂原子(特别是含多个杂原子)的缩合芳香族化合物的价格远高于缩合芳烃的价格。由于HTCT组成的复杂性,从HTCT中分离出缩合芳香族化合物纯品面临极大的挑战。针对传统分离HTCT工艺存在的能耗大和分离效果差的问题,本研究团队开发了通过逐级萃取、加压梯度柱层析和分步结晶的逐级分离HTCT的技术,较详细地考察了分离过程中涉及的溶质、溶剂和固定相之间的作用力,从HTCT中成功地分离出一系列缩合芳香族化合物纯品;利用该技术,也可从煤的萃取物和热溶物中富集一系列有机化合物,包括缩合芳香族化合物。 展开更多
关键词 高温煤焦油 逐级萃取 加压梯度柱层析 分步结晶 缩合芳香族化合物
下载PDF
基于循环神经网络的煤层气井产气量预测方法研究 被引量:8
2
作者 董维强 孟召平 +2 位作者 沈振 宗志敏 陈涛 《煤炭科学技术》 CAS CSCD 北大核心 2021年第9期176-183,共8页
煤层气井产气量是衡量一口煤层气井产气能力和工程开发效果的重要指标,准确预测日产气量是保证煤层气高效生产的一个关键问题。以沁水盆地南部郑庄区块3号煤层为研究对象,选取煤层气井排采动态参数,如井底流压、液柱高度、套压、日产水... 煤层气井产气量是衡量一口煤层气井产气能力和工程开发效果的重要指标,准确预测日产气量是保证煤层气高效生产的一个关键问题。以沁水盆地南部郑庄区块3号煤层为研究对象,选取煤层气井排采动态参数,如井底流压、液柱高度、套压、日产水量和冲次作为自变量,分析了日产气量与这些排采参数之间的相关性,建立了基于循环神经网络的煤层气井产气量预测模型与方法。研究结果表明,煤层气井日产气量与冲次呈正相关性,日产气量与井底流压、套压、液柱高度和日产水量呈负相关性。基于深度学习随机森林算法中的特征重要性分析,研究了排采动态参数与日产气量之间的非线性关系以及预测模型中对日产气量的贡献率,得到了排采参数对日产气量影响的重要性排序表现为:井底流压>液柱高度>套压>日产水量>冲次。在此基础上,基于循环神经网络改进的长短时记忆神经网络预测模型,将Z4-026井排采数据代入模型计算,预测了煤层气井未来60 d产气量情况,并将预测结果与传统的支持向量机回归模型、随机森林回归模型以及BP神经网络模型对比,发现改进的长短时记忆神经网络预测模型,拟合效果相对较好,实际日产气量与预测日产气量之间的误差小于5%。在郑庄区块5口煤层气井的产气量预测分析中,相对误差小于10%。因此该方法将为煤层气井产气量预测和制定合理的排采制度提供了有效途径。 展开更多
关键词 煤层气井 产气量预测 排采参数 循环神经网络
下载PDF
Microwave-assisted hydroxylation of benzene to phenol with H_2O_2 over FeSO_4/SiO_2 被引量:4
3
作者 LIU Tong WEI Xianyong +3 位作者 ZHAO Jianjun XIE Hengsen WANG Taotao zong zhimin 《Mining Science and Technology》 EI CAS 2010年第1期93-96,共4页
Hydroxyl radicals HO are generated under Fenton-like (Fe2++H2O2→HO?+OH?+Fe3+) catalytic conditions upon microwave irradiation. Liquid-phase direct catalytic oxidation of benzene to phenol was obtained using FeSO4 sup... Hydroxyl radicals HO are generated under Fenton-like (Fe2++H2O2→HO?+OH?+Fe3+) catalytic conditions upon microwave irradiation. Liquid-phase direct catalytic oxidation of benzene to phenol was obtained using FeSO4 supported on silica gel as a solid catalyst and hydrogen peroxide as the oxidant. The effects of various parameters, such as the different solvents, the amount of solvent used, the amount of catalyst used, the reaction time, the reaction temperature and the amount of hydrogen peroxide used on the yield of phenol were studied to identify optimum reaction conditions. Conventionally heated reaction gives a phenol yield of 0.6%. A higher phenol yield of 13.9% with a selectivity of 100% is obtained when the reaction mixture was irradiated with micro-wave energy. It is concluded that microwave irradiation offers more effective control of energy input for hydroxyl radical generation that is appropriate for various synthetic reactions. 展开更多
关键词 hydroxyl radicals Fenton catalytic conditions microwave energy
下载PDF
Synthesis of light hydrocarbons over Fe/AC catalysts 被引量:1
4
作者 Zhao Jianjun zong zhimin +2 位作者 Wang Taotao Liu Tong Wei Xianyong 《International Journal of Mining Science and Technology》 2012年第2期209-212,共4页
A series of Fe/AC catalysts for catalytic hydrogenation of CO to light hydrocarbons(LHCs) were prepared by decomposing Fe(CO)5 in an autoclave.The catalysts activities were tested in a high-pressure micro reactor.The ... A series of Fe/AC catalysts for catalytic hydrogenation of CO to light hydrocarbons(LHCs) were prepared by decomposing Fe(CO)5 in an autoclave.The catalysts activities were tested in a high-pressure micro reactor.The results show that both CO conversion and LHCs selectivity were significantly affected by the amount of Fe loaded onto the catalysts.The optimum Fe content was determined to be 10% by weight of the catalyst.Over the corresponding catalyst(i.e.,10% Fe/C catalyst),the conversion of CO and the selectivity of LHCs were 94.8% and 59.2%,respectively,at 360 °C.Based on various catalyst characterization techniques,such as XRD,BET and SEM,the catalysts surface areas and pore volume decreased and the smaller particles agglomerated at the edges and corners in the outer region of the support with the increasing Fe content.The agglomerated particles increased greatly when the iron content of the catalyst was higher than 10%.The decrease of catalyst activity can be due to the agglomerated particles. 展开更多
关键词 CO hydrogenationFe/AC catalystsLight hydrocarbonsParticles agglomerated
下载PDF
基于深度学习采用多标签的方式解释叠前地震数据 被引量:3
5
作者 宗志敏 何登科 孙超 《地球物理学进展》 CSCD 北大核心 2022年第3期1258-1265,共8页
地震数据的解释是地震勘探中重要的一环,常规的成果解释需要经过一系列的地震数据处理.如何做到从叠前地震数据道集中直接自动解释地层构造值得探索和研究.本文提出基于深度学习采用多标签的方式来解释叠前数据.叠前数据包含着地层结构... 地震数据的解释是地震勘探中重要的一环,常规的成果解释需要经过一系列的地震数据处理.如何做到从叠前地震数据道集中直接自动解释地层构造值得探索和研究.本文提出基于深度学习采用多标签的方式来解释叠前数据.叠前数据包含着地层结构整体的信息,对地层结构多标签标注,从叠前数据中分步的提取出各构造的信息并做出预测.这样叠前数据的解释任务就分解为对地层各个构造的预测.多标签的方式可以针对解释所关注的构造做标签,提升网络对特定构造的关注度以得到更好的预测效果.本文建立了一个从叠前数据中自动提取特征的深度学习网络,在两类数据集上建立构造标签来做预测.第一类是在Marmousi模型中随机镶嵌一个等轴状异常体;第二类地层模型含有平层、单斜、背斜和向斜等结构.检验结果表明了基于深度学习多标签的方法可以自动化的解释叠前数据预测地层构造. 展开更多
关键词 深度学习 叠前地震数据解释 多标签预测 卷积神经网络 自动化解释
原文传递
An evidence for the strong association of N-methyl-2-pyrrolidinone with some organic species in three Chinese bituminous coals 被引量:2
6
作者 LIU ChanMin zong zhimin +2 位作者 JIA JiXian LIU GuangFeng WEI XianYong 《Chinese Science Bulletin》 SCIE EI CAS 2008年第8期1157-1164,共8页
Three Chinese bituminous coals collected from Shenfu, Heidaigou and Feicheng coal fields were re- spectively extracted with carbon-disulfide/N-methyl-2-pyrrolidinone (CS2/NMP) mixed solvent (volume ratio 1:1) at room ... Three Chinese bituminous coals collected from Shenfu, Heidaigou and Feicheng coal fields were re- spectively extracted with carbon-disulfide/N-methyl-2-pyrrolidinone (CS2/NMP) mixed solvent (volume ratio 1:1) at room temperature followed by distillation of CS2 under ambient pressure and subsequent removal of most of NMP by distillation at 110℃ under reduced pressure to afford mixed sol- vent-extractable fractions (MSEFs) with small amount of NMP. Acetone-extractable fraction 1 (AEF1) was obtained by extracting each MSEF under ultrasonic irradiation at room temperature and subse- quently using a Soxhlet extractor. Direct extraction of each bituminous coal affords acetone-soluble fraction 2 (AEF2). GC/MS analysis shows that m/z of base or secondary peak in mass spectra of a se- ries of components from each AEF1 is 98, whereas such components were not detected in AEF2. Since m/z of base peak in mass spectrum of NMP itself is 99, the base or secondary peak at m/z 98 should result from loss of α-H from NMP, i.e., NMP is strongly associated with some organic species (OSs) and thereby the components detected with base or secodary peak at m/z 98 in their mass spectra should be associated NMP-OS. 展开更多
关键词 N-甲基-2-吡咯烷基 烟煤 GC/MS分析 相互作用
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部