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Prediction of Dynamic Wellbore Pressure in Gasified Fluid Drilling

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Petroleum Science 2007年第4期4卷 66-73页

作者： wang zhiming1,ping liqiu2.and zou ke2.(1. School of Petroleum Engineering,Petroleum University of China,Beijing 102249,China) (2. Institute of Drilling Engineering Technology,CNPC,Beijing 100097,China) Petr Univ China Sch Petr Engn Beijing 102249 Peoples R China CNPC Inst Drilling Engn Technol Beijing 100097 Peoples R China

The basis of designing gasified drilling is to understand the behavior of gas/liquid two-phase flow in the wellbore. The equations of mass and momentum conservation and equation of fluid flow in porous media were used to establish a dynamic model to predict wellbore pressure according to the study results of Ansari and Beggs-Brill on gas-liquid two-phase flow. The dynamic model was solved by the finite difference approach combined with the mechanistic steady state model. The mechanistic dynamic model was numerically implemented into a FORTRAN 90 computer program and could simulate the coupled flow of fluid in wellbore and reservoir. The dynamic model revealed the effects of wellhead back pressure and injection rate of gas/liquid on bottomhole pressure. The model was validated against full-scale experimental data,and its 5.0% of average relative error could satisfy the accuracy requirements in engineering design.

关键词： Gasified fluid drilling dynamic model pressure prediction model validation

镀铬钢/EAA塑料复合带界面结构及连接机制

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热加工工艺 2024年第2期53卷 68-72,77页

作者：邹鑫陈科王敏陆雪萍丁平上海交通大学上海市激光制造与材料改性重点实验室上海200240 上海网讯新材料科技股份有限公司上海201109

针对面向5G通信光缆应用的钢塑复合带界面结构和连接机制开展研究,利用接触角测量仪、白光干涉仪对镀铬钢原始表面性能进行分析。结果表明,镀铬钢表面具有一定的润湿性和粗糙度;同时利用扫描和透射电子显微镜对复合带的横截面进行微观表... 详细信息

针对面向5G通信光缆应用的钢塑复合带界面结构和连接机制开展研究,利用接触角测量仪、白光干涉仪对镀铬钢原始表面性能进行分析。结果表明,镀铬钢表面具有一定的润湿性和粗糙度;同时利用扫描和透射电子显微镜对复合带的横截面进行微观表征,结果表明镀铬钢与乙烯丙烯酸(EAA)塑料薄膜之间通过金属氧化层实现连接紧密,并形成微观机械咬合。此外,利用扫描电子显微镜、X射线光电子能谱等对剥离测试之后的镀铬钢表面进行表征,进一步分析发现,镀铬钢表面铬的氧化层与EAA中的羰基反应生成-C-O-Cr化学键。综上所述,微观机械咬合和化学键合是钢塑复合带界面的重要连接机制。

关键词：钢塑复合带连接机制机械咬合化学键合

10B-doped MCP detector developed for neutron resonance imaging at Back-n white neutron source

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Nuclear Science and Techniques 2024年第8期35卷 58-68页

作者： Qiang Li Li‑Jiao wang Jing‑Yu Tang Xiang‑Biao Qiu Zhen Chen Mao‑Yuan Zhao Chang‑Jun Ning Kai Pan Wei Xu Tao Li Su‑Peng Lu Han Yi Rui‑Rui Fan Chang‑Qing Feng Rong Zhang Xiao‑Yang Sun Qi An Hao‑Fan Bai Jiang‑Bo Bai Jie Bao ping Cao Qi‑ping Chen Yong‑Hao Chen Zeng‑Qi Cui An‑Chuan Fan Fan‑Zhen Feng Min‑Hao Gu Chang‑Cai Han Zi‑Jie Han Guo‑Zhu He Yong‑Cheng He Yang Hong Yi‑Wei Hu Han‑Xiong Huang Wei Jiang Zhi‑Jie Jiang Zheng‑Yao Jin Ling Kang Bo Li Gong Li Xiao Li Yang Li Jie Liu Rong Liu Shu‑Bin Liu Yi‑Na Liu Guang‑Yuan Luan Jie Ren Zhi‑Zhou Ren Xi‑Chao Ruan Zhao‑Hui Song Kang Sun Zhi‑Xin Tan Sheng‑Da Tang Jin‑Cheng wang Peng‑Cheng wang Zhao‑Hui wang Zhong‑Wei Wen Xiao‑Guang Wu Xuan Wu Cong Xia Yong‑Ji Yu Guo‑Hui Zhang Hang‑Chang Zhang Lin‑Hao Zhang Qi‑Wei Zhang Xian‑Peng Zhang Yu‑Liang Zhang Yue Zhang Zhi‑Yong Zhang Zhi‑Hao Zhou ke‑Jun Zhu Chong zou Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China State key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Dongguan Songshan Lake Future School Dongguan 523808China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230027China State key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China North Night Vision Science and Technology(Nanjing)Research Institute Co.Ltd Nanjing 211106China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China State key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Institute of Modern Physics Fudan UniversityShanghai 200433China key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China China Academy of Engineering Physics Institute of Nuclear Physics and ChemistryMianyang 621900China USTC archaeometry lab University of Science and Technology of ChinaHefei 230026China Northwest Institute of Nuclear Technology Xi’an 710024China University of Chinese Academy of Sciences Beijing 100049China China Shipbuilding Trading Co. LtdBeijing 100044China

Neutron resonance imaging(NRI)has recently emerged as an appealing technique for neutron *** complexity surpasses that of conventional transmission imaging,as it requires a high demand for both a neutron source and ***,the progression of NRI technology has been sluggish since its inception in the 1980s,particularly considering the limited studies analyzing the neutron energy range above *** white neutron source(Back-n)at the China Spallation Neutron Source(CSNS)provides favorable beam conditions for the development of the NRI technique over a wide neutron energy range from eV to ***-sensitive microchannel plates(MCP)have emerged as a cutting-edge tool in the field of neutron detection owing to their high temporal and spatial resolutions,high detection efficiency,and low *** this study,we report the development of a 10B-doped MCP detector,along with its associated electronics,data processing system,and NRI experiments at the *** heavy elements such as gold,silver,tungsten,and indium can be easily identified in the transmission images by their characteristic resonance peaks in the 1–100 eV energy range;the more difficult medium-weight elements such as iron,copper,and aluminum with resonance peaks in the 1–100 keV energy range can also be *** particular,results in the neutron energy range of dozens of keV(Aluminum)are reported here for the first time.

关键词： Neutron resonance imaging 10B doped MCP detector White neutron source Sample nuclide identification

Simulation of Horizontal-Two-Dimension Focused Waves Using A Two-Layer Boussinesq-Type Model

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China Ocean Engineering 2023年第5期37卷 725-737页

作者： zou Wen-feng wang ping LIU Zhong-bo FANG ke-zhao SUN Jia-wen ZHANG Ning-chuan key Laboratory of coastal and offshore engineering Dalian University of TechnologyDalian 116024China State Environmental Protection key Laboratory of Marine Ecosystem Restoration National Marine Environmental Monitoring CenterDalian 116023China Dalian Maritime University College of Transportation EngineeringDalian 116024China

Accurate simulation of the horizontal-two-dimension(H2D)focused wave group in deep water requires high accuracy of a numerical *** two-layer Boussinesq-type model(Liu and Fang,2016;Liu et al.,2018)with the highest spatial derivative of 2 has high accuracy in both linear and nonlinear *** on the further development of the velocity equations(Liu et al.,2023),the H2D numerical model for water waves is established with the prediction-correction-iteration model in the finite difference method,and a composite fourth-order Adams-Bashforth-Moulton scheme is used for time *** wave generation method proposed by Hsiao et al.(2005)is applied and calibrated in this H2D *** numerical calculations lead to the following three main conclusions:First,compared with the analytical solution of Stokes linear waves,the calculated velocity profiles show higher accuracy by using the improved velocity ***,the simulations of the focused multidirectional wave group are carried out,and good agreements are found,demonstrating that the present H2D numerical model shows high accuracy in simulating focused multidirectional wave groups,and the effectiveness of the improved velocity formulas is also ***,the velocity profiles throughout the computational domain at the time of maximum wave crest are ***,the FFT method is used to obtain the amplitude with different frequencies for several locations,and the changes of the wavelet energy spectrum at different locations are presented for several cases.

关键词： focused wave horizontal-two-dimension model finite difference method nonlinear property

Status of aquatic organisms resources and their environments in Yangtze River system(2017-2021)⋆

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Aquaculture and Fisheries 2024年第5期9卷 833-850页

作者： Haile Yang Li Shen Yongfeng He Huiwu Tian Lei Gao Jinming Wu Zhigang Mei Nian Wei Lin wang Tingbing Zhu Feifei Hu Jinling Gong Hongchun Du Xinbin Duan Huatang Deng Daoqun wang Fengyue Zhu Yunfeng Li Fan Wu Huijun Ru Yan Zhang Junyi Li Junlin Yang Yuntao Zhou Dongdong Fang Yinping wang Danqing Lin Yanping Yang Peijie Li Silei Liu Jian Yang ping Zhuang Sikai wang Tao Zhang Gang Yang Wenbo Yang Lilai Yuan Kun Cao Shuo Xu Huiyuan Liu Zhiqiang Liang Chongrui wang Hong Li Xiping Yuan Xin Yang Yilong Fu Yanping Zhang Haixin Zhang Zhiying Tao Sheng wang Xiaoping Gao Binsong Jin kemao Li Guojie wang Shenglong Jian Yingqin Li Chenjiang Xue Chunyun Lei Shaowei Xue Yi Sun Bin Zhu ke Shao Xingkun Hu Meihua Xiong Jun Du Bin He Tao Yan Yingying Huang Yuanchao zou Biwen Xie Yongming wang Bin Li Fei Liu Yaoyao Zhang Fei Fan Zhijian wang Jing Huang Haoran Gu Hailong Ge Yan Dan Yan Li Shuqiao wang Chuang Zhang Lu Zhou Xue wang Sheng Zeng Yan Xiang Xugang He Jianhui Qin Chengxing Xia Jie Hou Yifu Shi Lifang Gao Zhiqiang Zhu Hongbao Shen Yun Du Xuejun Duan Jiawu Xiong Deguo Yang Shaoping Liu Zhaohui Ni Hui Zhang Kai Liu Feng Zhao Yingren Li Jianwei wang Qiwei Wei Yangtze River Fisheries Research Institute Chinese Academy of Fishery SciencesWuhan430223China Institute of Hydrobiology Chinese Academy of SciencesWuhan430072China Fishery Resource and Environment Research Center Chinese Academy of Fishery SciencesBeijing100141China key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization Ministry of Agriculture and Rural AffairsFreshwater Fisheries Research CenterChinese Academy of Fishery SciencesWuxi214081China East China Sea Fisheries Research Institute Chinese Academy of Fishery SciencesShanghai200090China Institute of Fisheries Engineering Chinese Academy of Fishery SciencesBeijing100141China Hunan Fisheries Science Institute Changsha410153China Jiangxi Fisheries Research Institute Nanchang330039China Jiujiang Academy of Fishery Sciences Jiujiang332000China School of Life Sciences Nanchang UniversityNanchang330031China Qinghai Provincial Fishery Technology Extension Center Xining810012China Yunnan Academy of Fishery Sciences Kunming650111China Institute of Hydroecology Ministry of Water Resources and Chinese Academy of SciencesWuhan430079China Fisheries Institute Sichuan Academy of Agricultural SciencesChengdu611731China School of Life Sciences Neijiang Normal UniversityNeijiang641100China School of Life Sciences Southwest UniversityChongqing400715China Chongqing Fishery Sciences Research Institute Chongqing401120China Guizhou Fisheries Research Institute Guiyang550025China College of Fisheries Huazhong Agricultural UniversityWuhan430072China Hubei Fisheries Science Research Institute Wuhan430070China Shaanxi Fisheries Research Institute Xi’an710086China Innovation Academy for Precision Measurement Science and Technology Chinese Academy of SciencesWuhan430077China Nanjing Institute of Geography and Limnology Chinese Academy of SciencesNanjing210008China Central South Inventory and Planning Institute of State Forestry and Grassland Administration Changsha410014China

The Yangtze River is the mother river of *** promote the aquatic ecosystem protection of the great river,the Project of Yangtze Fisheries Resources and Environment Investigation(2017-2021)supported by the Ministry of Agriculture and Rural Affairs,*** carried out by 24 institutes and universities that located in the Yangtze River basin surveys the status of(1)fish species composition and spatial distribution,(2)current fish abundance,(3)endangered fishes,(4)Yangtze finless porpoise,(5)aquatic eco-environments,(6)water-level fluctuation areas,(7)capture fisheries and recreational fisheries of the Yangtze River mainstream and 10 of its main tributaries,including Yalong River,Heng River,Min River(including Dadu River),Chishui River,Tuo River,Jialing River,Wu River,Han River,Dongting Lake and Poyang *** results showed that there were 443 fish species(belonging to 163 genus,37 families,and 18 orders)before 2017,but only 323 fish species(including 15 new recorded exotic species)were recorded in the project of *** them,Cyprinus carpio,Carassius auratus,Hypophthalmichthys molitrix,Pelteobagrus fulvidraco,Coilia brachygnathus,Silurus asotus,Saurogobio dabryi,Ctenopharyngodon idellus,Pelteobagrus nitidus,Hemiculter leucisculus,Siniperca chuatsi,Coreius heterodon,Culter alburnus,Parabramis pekinensis,and Aristichthys nobilis were the dominant species across the whole Yangtze River *** is estimated that there were 886 million individuals weighing 124.8 million kg,merely equivalent to 27.3%of the resources in 1950s,30.9%of the resources in 1960s,or 58.7%of the resources in *** the new list of protected fishes that recorded in the Yangtze River system,only 15 of 29 were collected in this project of *** gladius has been affirmed to be Extinct by International Union for Conservation of Nature(IUCN).The wild individuals of Tenualosa reevesii and Luciobrama macrocephalus have disappeared for many years and maybe have been extinct

关键词： Fishes Yangtze finless porpoise Resources Aquatic ecosystem Fisheries Background investigation Yangtze river system

Astragalus polysaccharide reduces hepatic endoplasmic reticulum stress and restores glucose homeostasis in a diabetic KKAy mouse model

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Acta Pharmacologica Sinica 2007年第12期28卷 1947-1956页

作者： Xian-qing MAO~2,Yong WU~3,ke WU~2,Ming LIU~2,Jing-fang ZHANG~4,Feng zou~2,Jing-ping OU-YANG~(2,5)~2 Department of Pathophysiology,Medical College of Wuhan University,Hubei Provincial key Laboratory of Allergy and Immune-RelatedDiseases,Wuhan 430071,China ~3 Division of Endocrinology and Diabetes,Department of Medicine,University of Oklahoma Health ScienceCenter,Oklahoma city,Oklahoma 73104,USA ~4 Department of Pathology and Physiology,Jingmen Vocational College,Jingmen 448000,China Department of Pathophysiology Medical College of Wuhan University Hubei Provincial Key Laboratory of Allergy and Immune-Related Diseases Wuhan China Division of Endocrinology and Diabetes Department of Medicine University of Oklahoma Health Science Center Oklahoma city USA Department of Pathology and Physiology Jingmen Vocational College Jingmen China

Aim:To examine the potential effects of Astragalus polysaccharide （APS） onhepatic endoplasmic reticulum （ER） stress in vivo and in vitro and its link withhypoglycemia activity,thus establishing the mechanism underlying the hypogly-cemic action of ***:The obese and type 2 diabetic KKAy mousemodel,which is the yellow offspring of the KK mice expressed Aygene (700mg·kg-1·d-1,8 weeks) and a high glucose-induced HepG2 cell model （200 μg/mL,24 h）were treated with *** oral glucose tolerance test was measured to reflexinsulin sensitivity with the calculated homeostasis model assessment （HOMA-IR） *** 1 （XhoI site-binding protein 1） transcription and splicing,an indica-tor of ER stress,was analyzed by RT-PCR and real-time *** expression andactivation of glycogen synthase kinase 3 beta （GSK3β）,an insulin signaling protein,was measured by Western ***:APS can alleviate ER stress in cul-tured cells in *** hyperglycemia status,systemic insulin sensitivity,fattyliver disease,and insulin action in the liver of diabetic mice were partly normalizedor improved in response to APS ***:Our results indicatethat APS enables insulin-sensitizing and hypoglycemic activity at least in part byenhancing the adaptive capacity of the ER,which can further promote insulinsignal ***,APS has promising application in the treatment of type2 diabetes.

关键词： Astragalus membranaceus polysaccharide type 2 diabetes mellitus insulin resistance endoplasmic reticulum stress

S-8大孔树脂-C18柱联用分离牡丹籽壳中短叶松素及抗氧化研究

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食品与发酵工业 2024年第6期50卷 152-158页

作者：张迎阳邹林玲陈文涛孙承骏邹平徐莹满在伟常州大学药学院/生物与食品工程学院江苏常州213164

以牡丹籽壳为原料,利用大孔树脂和C18反相键合硅胶柱(C18柱)联合分离短叶松素,回收率为(98.33±0.64)%。用70%(体积分数)乙醇提取牡丹籽壳粗黄酮(Mu Dan ke Flavonoids,MDKF),得率最高为(10.54±0.13)%;比较了6种大孔树脂(AB-8、S-8、DM... 详细信息

以牡丹籽壳为原料,利用大孔树脂和C18反相键合硅胶柱(C18柱)联合分离短叶松素,回收率为(98.33±0.64)%。用70%(体积分数)乙醇提取牡丹籽壳粗黄酮(Mu Dan ke Flavonoids,MDKF),得率最高为(10.54±0.13)%;比较了6种大孔树脂(AB-8、S-8、DM301、HPD600、HPD100和D101)的吸附率和解析率,发现S-8大孔树脂的吸附率和解析率最佳,分别为83.47%和84.46%;优化S-8大孔树脂分离MDKF的最佳条件为:上样液质量浓度1.6 mg/mL,上样液流速2.0 mL/min,洗脱剂乙醇体积分数60%,洗脱液流速1.5 mL/min,洗脱液体积100 mL;对经过C18柱分离后的组分进行LC-MS分析得到短叶松素,回收率为(98.33±0.64)%;分离前后抗氧化能力比较:C18纯化物>S-8大孔树脂纯化物>MDKF粗提物;分子对接实验表明,短叶松素与超氧化物歧化酶、过氧化氢酶、过氧化物酶、谷胱甘肽过氧化物酶均有结合能力,过氧化氢酶的结合能力最强为-9.1 kcal/mol。实验表明,短叶松素具有较好的抗氧化能力,可作为食品、药品或化妆品等抗氧化剂的添加,应用前景非常广泛,对牡丹籽壳的进一步开发利用提供理论支持。

关键词：牡丹籽壳短叶松素大孔树脂 C18 分子对接

3D Filtering by Block Matching and Convolutional Neural Network for Image Denoising

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Journal of Computer Science & Technology 2018年第4期33卷 838-848页

作者： Bei-Ji zou Yun-Di Guo Qi He ping-Bo Ouyang ke Liu Zai-Liang Chen School of Information Science and Engineering Central South University Changsha 410083 China Center for Information and Automation of China Nonferrous Metals Industry Association Changsha 410011 China Center for Ophthalmic Imaging Research Central South University Changsha 410083 China

Block matching based 3D filtering methods have achieved great success in image denoising tasks. However the manually set filtering operation could not well describe a good model to transform noisy images to clean images. In this paper, we introduce convolutional neural network （CNN） for the 3D filtering step to learn a well fitted model for denoising. With a trainable model, prior knowledge is utilized for better mapping from noisy images to clean images. This block matching and CNN joint model （BMCNN） could denoise images with different sizes and different noise intensity well, especially images with high noise levels. The experimental results demonstrate that among all competing methods, this method achieves the highest peak signal to noise ratio （PSNR） when denoising images with high noise levels （σ 〉 40）, and the best visual quality when denoising images with all the tested noise levels.

关键词： block matching convolutional neural network (CNN) denoising 3D filtering

Molecular Dynamics Simulation of Microstructure Transitions in a Large-Scale Liquid Metal Al System During Rapid Cooling Processes

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Chinese Physics Letters 2002年第8期19卷 1144-1147页

作者： Liu Rang-Su Dong ke-Jun Li Ji-Yong Yu Ai-Bing zou Rui-ping Department of Physics Hu'nan University Changsha 410082 School of Materials Science and Engineering The University of New South Wales Sydney New South Wales 2052 Australia Department of Chemistry Hu'nan University Changsha 410082

We perform a molecular dynamics simulation of microstructure transitions in a large-scale system consisting of 400000 atoms of liquid metal Al by the Clare supercomputer. A cluster-type index method is proposed to describe the structures of various short-range-order clusters in the liquid system. It is demonstrated that the icosahedron cluster (12 0 12 0) plays the most important role in the microstructure transition and that some larger clusters (containing more than 130 atoms) are formed in the system during the rapid cooling processes. It is obvious that the larger clusters are formed by means of combining some middle clusters, and that the middle clusters are formed with several smaller clusters. However, the larger clusters are not formed to be the multi-shell configuration as shown in the mass spectrum analysis of the cluster configurations of Al obtained by gaseous deposition, ionic spray methods and so on. This result can be used to explain the essential distinction between the cluster configurations of Al formed in two different ways.

关键词： Molecular dynamics