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Evolution and global correlation for strontium isotopic composition of marine Triassic from Huaying Mountains,eastern Sichuan,China

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Science China Earth Sciences 2008年第4期51卷 540-549页

作者： ZuoWei Hu SiJing Huang HaiRuo Qing QingDong Wang ChunMei Wang xiaoyong gao State Key Laboratory of Oil/Gas Reservoir Geology and Exploitation Institute of Sedimentary Geology Chengdu University of Technology Chengdu 610059 China Department of Geology University of Regina Regina S4S 0A2 Canada

Strontium isotope stratigraphy (SIS) has progressively become an efficient chemostratigraphic tool in the research and correlation of global geological events, such as global sea level fluctuations, orogeny, and paleo... 详细信息

关键词： Triassic marine carbonate strontium isotope global correlation Huaying Mountains eastern Sichuan

A Newly Discovered Oil-bearing Mesoproterozoic Erathem within the Niu D1 Well, Liaoxi Depression, Yanliao Faulted Depression Zone, NE China

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Acta Geologica Sinica(English Edition) 2020年第1期94卷 202-203页

作者： SUN Qiushi gao xiaoyong ZONG Wenming SUN Shouliang ZHANG Tao XIAO Fei LI Yongfei SHI Lei Shenyang Center of Geological Survey China Geological Survey(CGS)/Northeast China Center for Geoscience InnovationShenyang 110034China

Objective The Yanshan Fold Belt is located within the northern margin of the North China platform and contains welldeveloped and widespread Neoproterozoic and Mesoproterozoic sedimentary units with a total thickness of up to 9000 *** studies identified many oil seedlings as well as asphalt and ancient hydrocarbon reservoirs in Northern Hebei depression and western Liaoning *** research indicates that the Mesoproterozoic and Neoproterozoic sedimentary units are ideally suited for the formation of significant oil and gas *** Niu D1 well was drilled by the China Geological Survey(CGS)in the Niuyingzi area and intercepted oil immersions and oil-and gas-bearing units within a limestone reservoir in the middle Proterozoic gaoyuzhuang Formation(Fig.1).This study presents new biomarker compound and carbon isotope data that indicate that the oil within this formation was derived from hydrocarbon source rocks of the Hongshuizhuang Formation,part of the Mesoproterozoic Jixian Series,and the reservoir type is overthrust fault fractured anticline hydrocarbon *** oil reservoir within the gaoyuzhuang Formation limestone might represent the oldest oil reservoir discovered to date within the Yanliao faulted depression zone.

关键词： NE China A Newly Discovered Oil-bearing Mesoproterozoic Erathem within the Niu D1 Well Yanliao Faulted Depression Zone Liaoxi Depression

Study on white-light emission and light-emitting mechanism of hydrothermally synthesized YVO_4:1 mol.%Dy^(3+),x mol.%Eu^(3+) phosphor powders

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Journal of Rare Earths 2016年第2期34卷 113-117页

作者：刘红涛梁艳郜小勇张飒 Key Laboratory of Materials Physics of Ministry of Education of China School of Physics and Engineering Zhengzhou University College of Information Science and Engineering Henan University of Technology

White light-emitting YVO4:1 mol.%Dy3+,x mol.%Eu3+ phosphor powders with order morphology and well crystallization were hydrothermally synthesized at 180°C. The microstructure, white-light emission, and light-emitting mechanism of the powders were carefully studied using X-ray diffractometry, scanning electron microscopy and photoluminescence spectra. The excitation and emission spectra of the phosphor powders indicated the coexistence of efficient energy transfer from Eu3+ to Dy3+ and inefficient en-ergy transfer from Dy3+ to Eu3+ besides the energy transfer from VO43– to Eu3+. Increasing the Eu3+ concentration initially enhanced and then weakened the luminescent intensity of Dy3+. The white-light emissions of YVO4:1 mol.%Dy3+,xmol.%Eu3+ phosphor pow-ders were both related to the energy transfer between VO43– and Dy3+/Eu3+, as well as between Eu3+ and Dy3+. The inefficient energy transfer from Dy3+ to Eu3+ was first found.

关键词： YVO4 Dy3+,Eu3+ phosphor powders hydrothermal synthesis white-light emission photoluminescence energy transfer rare earths

Hybrid bat algorithm optimization and Semi-supervised extreme learning machine for kick detection in drilling process

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Hybrid bat algorithm optimization and Semi-supervised extrem...

Intelligent Rolling Bearing Fault Diagnosis Based on Vibration Signal Transformer Neural Network

第32届中国过程控制会议(CPCC2021)

作者： Yuanlong Yue XinLin Li Xin Zuo xiaoyong gao College of Information Science and Engineering China University of Petroleum (Beijing)

Most existing data-driven kick detection methods are supervised machine learning techniques that presume the availability of sufficient number of kick training data samples and all data labels are *** order to get a large number of available data samples,it takes a lot of manpower and material *** solve this problem,a novel kick detection methods based Semi-supervised extreme learning machine is proposed,which can train the model by a small number of labeled samples and a large number of unlabeled ***,the performance of this algorithm is sensitive to the values of the hyper *** address this problem,we propose a novel algorithm by combining bat algorithm and semi-supervised extreme learning machine to automatically select the optimal hyper parameters of semi-supervised extreme learning machine in this ***,the field data are used for comparative experiments:the results show that the proposed algorithm can achieve a higher kick diagnosis rate in the case of less labeled samples of drilling data,which verifies the advantages and effectiveness of the proposed *** study provides a new idea for improving the detection accuracy of kick.

关键词： kick detection Semi-supervised extreme learning machine Bat algorithm Drilling

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Intelligent Rolling Bearing Fault Diagnosis Based on Vibrati...

莫以问题新旧论英雄只管方法多样助思维——以比较油量表示数大小的多种思维方法为例

第35届中国过程控制会议

作者： Shuang Li Qiang Li Kang Li xiaoyong gao Department of Automation China University of Petroleum Beijing

Rolling bearing is one of the most important components of the majority of electrical and power drives. It is critical to accurately diagnose bearing faults to maintain the safe and smooth operation of electrical and power drives. In the past few years,deep-learning-based techniques have gained traction in bearing fault diagnosis, where they have attained competitive performance due to their superior feature extraction capabilities. However, when it comes to extracting features of long-term dependencies,the majority of them are inefficient. To address this issue, we propose a novel method for rolling bearing fault diagnosis called Vibration Signal Transformer Neural Network(VSTNN), which inherits the advantage of the Transformer's encoder with multihead self-attention and residual connection to aggregate vibration information from different time-series segment tokens in feature space, thereby improving long-term dependency modeling performance. Distinguishing from the vanilla Transformer which divides sentence sequences into tokens made up of words, we develop a novel vibration signal tokenization strategy that can yield token embedding sequences by combining multiple subsequence features learned from 1D vibration data, class tokens, and position embeddings. Furthermore, since bearing fault diagnosis is a sequence-to-category problem with only the fault category as an output, VSTNN bypasses the vanilla Transformer's decoder block in favor of a fully connected neural network as the fault classifier. This improves computational efficiency and lowers memory usage, allowing the model to more adapt for rolling bearing fault diagnosis. Extensive experiments are carried out on the bearing dataset collected from Case Western Reserve University to validate the effectiveness of the proposed method. The results reveal that VSTNN outperforms CNN and RNN models in terms of diagnostic performance.

关键词： Fault Diagnosis Rolling Bearing Transformer Deep Learning

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物理教学 2022年第1期44卷 33-35,32页

作者：高晓勇河南省许昌市第二中学河南461000

初中物理教学中往往有多种处理常见问题的方法,都可以从不同角度助推学生分析与解决问题的思维能力的提高,如比较电流表改装成油量表的示数大小问题。本文以2020年四川省成都市中考B卷中第6题(3)为例,运用变换思维法、图象分析法、函数... 详细信息

初中物理教学中往往有多种处理常见问题的方法,都可以从不同角度助推学生分析与解决问题的思维能力的提高,如比较电流表改装成油量表的示数大小问题。本文以2020年四川省成都市中考B卷中第6题(3)为例,运用变换思维法、图象分析法、函数定量法、顺向思维法等物理方法比较不同液体体积下油量表的示数大小,实现分析新旧问题的别样方法,培养学生在多种分析问题方法下助推思维方式上向更高层次思维迈进。

关键词：新旧问题多种思维油量表示数比较

内蒙古乌兰盖盆地中生代火山岩年代学、地球化学特征及其地质意义

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吉林大学学报（地球科学版） 2015年第2期45卷 441-452页

作者：孙守亮李永飞郜晓勇沈阳地质矿产研究所中国地质调查局沈阳地质调查中心沈阳110034

笔者对大兴安岭西部乌兰盖盆地南、北缘出露的中生代火山岩进行了详细的岩石学、激光全熔40 Ar/39 Ar测年及地球化学研究,探讨了中生代火山岩成因与地质意义。乌兰盖盆地南、北缘的中生代火山岩主要为中性岩(安山岩)与酸性岩(流纹岩)类... 详细信息

笔者对大兴安岭西部乌兰盖盆地南、北缘出露的中生代火山岩进行了详细的岩石学、激光全熔40 Ar/39 Ar测年及地球化学研究,探讨了中生代火山岩成因与地质意义。乌兰盖盆地南、北缘的中生代火山岩主要为中性岩(安山岩)与酸性岩(流纹岩)类,各类岩石总体激光全熔40 Ar/39 Ar定年结果为(151.8±1.5)^(120.2±1.8)Ma,说明其形成时代总体为晚侏罗世晚期至早白垩世;岩石总体为一套钙碱性系列到高钾钙碱性系列的中性至酸性岩石组合,各类岩石地球化学特征与壳源岩石的地球化学特征基本一致,表明它们应来自于地壳物质局部熔融形成的壳源岩浆系列。该套火山岩形成于蒙古—鄂霍茨克洋(古太平洋)闭合碰撞造山构造背景,在早白垩世151.8 Ma左右区内曾发生地壳加厚的造山过程,其岩浆深部动力学背景与岩浆源区的性质主要归因于增厚的造山带下地壳发生的部分熔融作用。

关键词：乌兰盖盆地中生代火山岩激光全熔40 Ar/39 Ar测年地球化学

溅射功率对射频磁控反应溅射制备的Ag_2O薄膜微结构的影响

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真空科学与技术学报 2011年第3期31卷 283-286页

作者：马姣民梁艳郜小勇郑州大学物理工程学院材料物理教育部重点实验室郑州450052 河南工业大学信息科学与工程学院郑州450001

利用射频磁控溅射技术,通过调节溅射功率(P)在200℃、氧氩比为2∶3条件下在玻璃衬底上制备了一系列氧化银(Ag2O)薄膜。利用X射线衍射谱和扫描电子显微镜重点研究了P对Ag2O薄膜微结构的影响。研究结果表明Ag2O薄膜具有(111)择优取向,这... 详细信息

利用射频磁控溅射技术,通过调节溅射功率(P)在200℃、氧氩比为2∶3条件下在玻璃衬底上制备了一系列氧化银(Ag2O)薄膜。利用X射线衍射谱和扫描电子显微镜重点研究了P对Ag2O薄膜微结构的影响。研究结果表明Ag2O薄膜具有(111)择优取向,这可能归结于(111)面的表面自由能最低。随着P从120 W增大到240 W,Ag2O薄膜(111)方向的平均晶粒尺寸从22.92 nm增大到27.96 nm,薄膜的表面结构呈现了从均匀、致密的表面结构向疏松、多孔洞的表面结构的演变。Ag2O(111)衍射峰的2θ角与标准值偏差(2θshift)随P的增大先减小后增大,(111)衍射峰峰位向2θ增大的方向发生了明显的移动。根据量子尺寸效应,薄膜的应力与晶粒尺寸呈反比关系,因此薄膜的应力随P的增大先减小后增大。P=240 W时薄膜的应力最小。从应力的角度,这基本可以合理解释P=210 W时制备的Ag2O薄膜的结晶质量最好,尽管与实验结果有些差异。

关键词： Ag2O薄膜射频磁控溅射 X射线衍射微结构

基于装置级优化控制与厂级调度优化集成的过程模型方法

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化工学报 2016年第12期67卷 5105-5111页

作者：高小永江永亨黄德先清华大学自动化系清华大学信息科学与技术国家实验室北京100084

随着全球化市场竞争日趋激烈,炼油生产过程的系统工程方法引起学术界和工业界的普遍关注。由于炼油生产过程的复杂性,现有方法远未有效解决过程模型准确描述问题,直接导致系统工程应用效果欠佳;过程模型的准确描述成为阻碍过程系统工程... 详细信息

随着全球化市场竞争日趋激烈,炼油生产过程的系统工程方法引起学术界和工业界的普遍关注。由于炼油生产过程的复杂性,现有方法远未有效解决过程模型准确描述问题,直接导致系统工程应用效果欠佳;过程模型的准确描述成为阻碍过程系统工程成功应用的关键。从困扰过程模型准确描述的症结出发,提出了一种基于装置级优化控制与厂级调度优化集成策略的模型描述方法,意在打破当前装置级底层控制系统和上层过程系统工程应用相互孤立情况下带来的系统间互为排斥、相互抑制的困局。在炼油生产过程装置分类的基础上,基于装置级优化控制的操作运行大数据所蕴含的多个最优操作模态信息,提出分装置类别和分操作模式的多模型描述方法,解决变化原料及操作工况的影响;基于该模型描述机制,将能够为智能炼油提供基础。

关键词：集成系统工程过程控制大数据炼油生产过程过程模型描述