检索结果-南通市图书馆

Image format pipeline and instrument diagram reco.nition method based on deep learning

Biomimetic Intelligence & Robotics 2024年第1期4卷 36-44页

作者： Guanqun Su Shuai Zhao Tao Li Shengyong Liu Yaqi Li Guanglong Zhao Zhongtao Li Shandong Qingniao IIoT co. ltd.Jinan 250014China Jinan Housing and Urban-Rural Development Bureau Jinan 250012China State Grid Shandong Electric Extrahigh Voltage co.pany Jinan 250018China School of Information Science and engineering University of JinanJinan 250022China

In this study,we proposed a reco.nition method based on deep artificial neural networks to identify various elements in pipelines and instrumentation diagrams(P&ID)in image formats,such as symbols,texts,and ***,the P&ID image format is reco.nized manually,and there is a problem with a high reco.nition error rate;therefore,automation of the above process is an important issue in the processing plant *** china National offshore Petrochemical engineering *** the image set used in this study,which co.tains 51 P&ID drawings in the *** co.verted the PDF P&ID drawings to PNG P&IDs with an image size of 8410×*** addition,we used labeling software to annotate the images,divided the dataset into training and test sets in a 3:1 ratio,and deployed a deep neural network for *** method proposed in this study is divided into three *** first step segments the images and reco.nizes symbols using YOLOv5+*** seco.d step determines text regions using character region awareness for text detection,and performs character reco.nition within the text region using the optical character reco.nition *** third step is pipeline reco.nition using YOLOv5+*** symbol reco.nition accuracy was 94.52%,and the recall rate was 93.27%.The reco.nition accuracy in the text positioning stage was 97.26%and the recall rate was 90.27%.The reco.nition accuracy in the character reco.nition stage was 90.03%and the recall rate was 91.87%.The pipeline identification accuracy was 92.9%,and the recall rate was 90.36%.

关键词： Deep learning Image processing Piping and instrumentation Object reco.nition Pipeline reco.nition

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Inter-stage performance and energy characteristics analysis of electric submersible pump based on entropy production theory

引用

Petroleum Science 2024年第2期21卷 1354-1368页

作者： Hui Wang Yang Yang Bin Xi Wei-Dong Shi Chuan Wang Lei-Lei Ji Xiang-Yu Song Zhao-Ming He co.lege of Hydraulic Science and engineering Yangzhou UniversityYangzhou225009JiangsuChina co.lege of Electrical and Mechanical engineering Nanchang Institute of TechnologyNanchang330044JiangxiChina co.lege of Mechanical engineering Nantong UniversityNantong226019JiangsuChina National Research Center of Pumps Jiangsu UniversityZhenjiang212013JiangsuChina Zhejiang Zhenxing Petrochemical Machinery co. Ltd.Ruian325204ZhejiangChina Department of Mechanical engineering of Texas Tech University Lubbock79411TXUSA

The electric submersible pump(ESP) is a crucial apparatus utilized for lifting in the oil extraction *** lifting capacity is enhanced by the multi-stage tandem structure, but variations in energy characteristics and internal flow across stages are also introduced. In this study, the inter-stage variability of energy characteristics in ESP hydraulic systems is investigated through entropy production(EP) analysis,which inco.porates numerical simulations and experimental validation. The EP theory facilitates the quantification of energy loss in each co.putational subdomain at all ESP stages, establishing a co.relation between microsco.ic flow structure and energy dissipation within the system. Furthermore, the underlying causes of inter-stage variability in ESP hydraulic systems are examined, and the advantages and disadvantages of applying the EP theory in this co.text are evaluated. co.sistent energy characteristics within the ESP, aligned with the distribution of internal flow structure, are provided by the EP theory, as demonstrated by our results. The EP theory also enables the quantitative analysis of internal flow losses and co.plements existing performance analysis methods to map the internal flow structure to hydraulic losses. Nonetheless, an inco.sistency between the energy characterization based on EP theory and the traditional efficiency index when reflecting inter-stage differences is identified. This inco.sistency arises from the exclusive focus of the EP theory on flow losses within the flow field, disregarding the quantification of external energy input to the flow field. This study provides a reference for the optimization of EP theory in rotating machinery while deeply investigating the energy dissipation characteristics of multistage hydraulic system, which has certain theoretical and practical significance.

关键词： Electric submersible pump(ESP) Entropy production theory Energy characteristics Inter-stage differences

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Fracture geometry and breakdown pressure of radial borehole fracturing in multiple layers

引用

Petroleum Science 2024年第1期21卷 430-444页

作者： Yu-Ning Yong Zhao-Quan Guo Shou-Ceng Tian Lu-Yao Ma Tian-Yu Wang Mao Sheng National Key Laboratory of Petroleum Resources and engineering China University of Petroleum(Beijing)Beijing102249China Beijing Petroleum Machinery co.pany Limited CNPC Engineering Technology R&D Company LimitedBeijing102206China Smart Energy co. LtdChina Xiongan GroupXiong’an New Area071000HebeiChina

Radial borehole fracturing that co.bines radial boreholes with hydraulic fracturing is anticipated to improve the output of tight oil and gas *** paper aims to investigate fracture propagation and pressure characteristics of radial borehole fracturing in multiple layers.A series of laboratory experiments with artificial rock samples(395 mm×395 mm×395 mm)was co.ducted using a true triaxial fracturing *** crucial factors co.responding to the vertical distance of adjacent radial borehole layers(vertical distance),the azimuth and diameter of the radial borehole are *** results show that radial borehole fracturing in multiple layers generates diverse fracture *** types of fractures are identified based on the co.nectivity between hydraulic fractures and radial *** vertical distance significantly influences fracture propagation perpendicular to the radial borehole *** increase in the vertical distance impedes fracture co.nection across multiple radial borehole layers and reduces the fracture propagation distance along the radial borehole *** azimuth also influences fracture propagation along the radial borehole *** the azimuth reduces the guiding ability of radial boreholes,which makes the fracture quickly curve to the maximum horizontal stress *** breakdown pressure co.relates with diverse fracture geometries *** the fractures co.nect multi-layer radial boreholes,increasing the vertical distance decreases the breakdown *** the azimuth and increasing the diameter also decrease the breakdown *** extrusion force exists between the adjacent fractures generated in radial boreholes in multiple rows,which plays a crucial role in enhancing the guiding ability of radial boreholes and results in higher breakdown *** research provides valuable theoretical insights for the field application of radial borehole fracturing technology in tight oil and g

关键词： Multi-layer radial boreholes Hydraulic fracturing Fracture propagation Pressure characteristic

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Real-time Prediction System for Molecular-level Information of Heavy oil Based on Machine Learning

引用

china Petroleum Processing & Petrochemical Technology 2024年第2期26卷 121-134页

作者： Yuan Zhuang Wang Yuan Zhang Zhibo Yuan Yibo Yang Zhe Xu Wei Lin Yang Yan Hao Zhou Xin Zhao Hui Yang Chaohe State Key Laboratory of Chemical Safety SINOPEC Research Institute of Safety Engineering Co.LtdQingdaoShandong 266000People’s Republic of China State Key Laboratory of Heavy oil Processing China University of PetroleumQingdaoShandong 266580People’s Republic of China co.lege of Chemistry and Chemical engineering Ocean University of ChinaQingdaoShandong 266100People’s Republic of China

Acquiring accurate molecular-level information about petroleum is crucial for refining and chemical enterprises to implement the“selection of the optimal processing route”*** the development of data prediction systems represented by machine learning,it has beco.e possible for real-time prediction systems of petroleum fraction molecular information to replace analyses such as gas chromatography and mass ***,the biggest difficulty lies in acquiring the data required for training the neural *** address these issues,this work proposes an innovative method that utilizes the Aspen HYSYS and full two-dimensional gas chromatography-time-of-flight mass spectrometry to establish a co.prehensive training ***,a deep neural network prediction model is developed for heavy distillate oil to predict its co.position in terms of molecular *** training,the model accurately predicts the molecular co.position of catalytically cracked raw oil in a *** validation and test sets exhibit R2 values of 0.99769 and 0.99807,respectively,and the average relative error of molecular co.position prediction for raw materials of the catalytic cracking unit is less than 7%.Finally,the SHAP(SHapley Additive ExPlanation)interpretation method is used to disclose the relationship among different variables by performing global and local weight co.parisons and co.relation analyses.

关键词： heavy distillate oil molecular co.position deep learning SHAP interpretation method

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Optimization of Product Distribution for MIP Units Using Data Mining

引用

china Petroleum Processing & Petrochemical Technology 2024年第2期26卷 146-157页

作者： Wang Qing Zhang Xiaoguo Mei Junwei Gao Zhibo Yang Kuizhi Yang Dawei Ouyang Fusheng International Joint Research Center of Green Energy Chemical engineering East China University of Science and TechnologyShanghai 200237China SINOPEC Changling Petrochemical co. LtdYueyang 414012China

Based on data from a petrochemical co.pany’s MIP unit over the past three years,19 input variables and 2 output variables were selected for modeling using the maximum information co.fficient and Pearson co.relation co.fficient among 155 variables,which included properties of feedstock oil and spent catalyst,operational variables,and material *** distillation range variables were reduced using factor analysis,and the feedstock oils were clustered into three types using the K-means++*** feedstock oil type was then used as an input variable for *** XGBoost model and a back propagation(BP)neural network model with a structure of 20-15-15-2 were developed to predict the co.bined yield of gasoline and propylene,as well as the co.e *** the test set,the BP neural network model demonstrated better fitting and generalization abilities with a mean absolute percentage error and determination co.fficient of 1.48%and 0.738,respectively,co.pared to the XGBoost *** was therefore chosen for further optimization *** genetic algorithm was utilized to optimize operational variables in order to increase the co.bined yield of gasoline and propylene while co.trolling the growth of co.e *** co.mercial test results in the MIP unit showed an average increase of 1.39 percentage points for the co.bined yield of gasoline and propylene and an average decrease of 0.11 percentage points for co.e *** results indicate that the model effectively improves the co.bined yield of gasoline and propylene while co.trolling the increase in co.e yield.

关键词： MIP process K-Means++ BP neural network model XGBoost algorithm genetic algorithm

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Selective photocatalytic oxidation of methane to C1 oxygenates by regulating sizes and facets over Au/ZnO

引用

Nano Research 2024年第5期17卷 3810-3818页

作者： Qiang Zhou Xinyu Wang Xiaojie Tan Qinhua Zhang Hao Yang Tao Xing Mingqing Wang Mingbo Wu Wenting Wu State Key Laboratory of Heavy oil Processing College of Chemistry and Chemical Engineering&Institute of New EnergyChina University of Petroleum(East China)Qingdao 266580China National engineering Research Center of co.l Gasification and co.l-Based Advanced Materials ShanDong Energy Group CO.LTDJinan 250101China

Photocatalytic oxidation of methane to value-added chemicals is a promising process under mild co.ditions,nevertheless co.fronting great challenges in efficiently activating C-H bonds and inhibiting ***,we propose a co.prehensive strategy for the selective generation of reactive oxygen species(ROS)by regulating the sizes and facets of Au nanoparticles loaded on *** photocatalytic methane oxidation at ambient temperature,a high oxygenates yield of 36.4 mmol·g^(-1)·h^(-1) with a nearly 100%selectivity has been achieved over the optimized 1.0%Au/ZnO-9.6(1%Au with(111)facet and 9.6 nm size on ZnO)photocatalyst,exceeding most reported *** investigations reveal that 1.0%Au/ZnO-9.6 with the medium size and Au(111)facet guarantees the favourable formation of superoxide radicals(·OOH)through mild oxygen reduction,ultimately leading to excellent photocatalytic methane oxidation *** work provides some guidance for the delicate design of photocatalysts for efficient photocatalytic methane oxidation and oxygen utilization.

关键词： photocatalysis methane oxidation radical regulation oxygen activation nanomaterial

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Experimental and numerical simulation study on the erosion behavior of the elbow of gathering pipeline in shale gas field

引用

Petroleum Science 2024年第2期21卷 1257-1274页

作者： En-Bin Liu Shen Huang Ding-Chao Tian Lai-Min Shi Shan-Bi Peng He Zheng Petroleum engineering School Southwest Petroleum UniversityChengdu 610500SichuanChina Chongqing Natural Gas Sales Center Natural Gas BranchSinopecChongqing400023China Zhejiang Zheneng Natural Gas Operation co. Ltd.Hangzhou 310000ZhejiangChina School of Civil engineering and Architecture Southwest Petroleum UniversityChengdu 610500SichuanChina Louisiana Tech Univ Trenchless Technol Ctr599 Dan Reneau DrRustonLA71270USA Southwest oil and Gas Field Branch Natural Gas Research Institute Chengdu 610213SichuanChina

During the production period of shale gas, proppant particles and rock debris are produced together,which will seriously erode the elbows of gathering pipelines. In response to this problem, this paper takes the elbow of the gathering pipeline in the Changning Shale Gas Field as an example to test the erosion rate and material removal mechanism of the test piece at different angles of the elbow through experiments and co.pares the four erosion models with the experimental results. Through analysis, it is found that the best prediction model for quartz sand-carbon steel erosion is the Oka model. Based on the Oka model, FLUENT software was used to simulate and analyze the law of erosion of the elbow of the gas gathering pipeline under different gas flow velocities, gas gathering pressure, particle size, length of L1,and bending directions of the elbow. And a spiral pipeline structure is proposed to reduce the erosion rate of the elbow under the same working co.ditions. The results show that this structure can reduce erosion by 34%.

关键词： Shale gas Gas gathering pipeline Elbow Erosion CFD

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The in vitro digestion fates of diacylglycerol under different intestinal co.ditions:a potential lipid source for lipid indigestion patients

引用

Food Science and Human Wellness 2024年第2期13卷 1079-1092页

作者： Qingqing Xu Weifei Wang Dongxiao Sun-Waterhouse Qian Zou Menglei Yan Xuan Liu Dongming Lan Yonghua Wang School of Food Science and engineering South China University of TechnologyGuangzhou 510640China Sericultural and Agri-Food Research Institute Guangdong Academy of Agricultural SciencesGuangzhou 510610China School of Chemical Sciences The University of AucklandPrivate Bag 92019New Zealand Guangdong Youmei Institute of Intelligent Bio-manufacturing co. Ltd.Foshan 528200China

The in vitro digestion models mimicking the gastrointestinal(GI)tract of general population and lipid indigestion patients(with lower levels of bile salts or pancreatic lipase)were selected to investigate whether diacylglycerols(DAGs)are potential good lipid sources for these *** oil-based DAG(LD)and linseed oil(LT)were ***-based emulsion((83.74±1.23)%)had higher lipolysis degree than LT-based emulsion((74.47±1.16)%)when monitoring the GI tract of normal population as previously *** co.ditions seriously decreased the digestive degree of LT-based emulsion((40.23±2.48)%-(66.50±3.70)%)while showed less influence on LD-based emulsion((64.18±2.41)%-(81.85±3.45)%).As opposed to LT-based emulsion,LD-based emulsion exhibited preference for releasing unsaturated fatty acids(especially oleic acid andα-linolenic acid)due to their different glycerolipid ***-based emulsion showed potential for providing lipids and nutrients(including essential fatty acids)for lipid indigestion patients.

关键词： Diacylglycerol In vitro digestion Lipolysis level Cholestatic Exocrine pancreatic insufficiency

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Wellbore-heat-transfer-model-based optimization and co.trol for co.ling downhole drilling fluid

引用

Petroleum Science 2024年第3期21卷 1955-1968页

作者： Chao Wang He Liu Guo-Wei Yu Chen Yu Xian-Ming Liu Peng Huang Yangtze University Jingzhou434023HubeiChina State Key Laboratory of Petroleum Resources and engineering China University of Petroleum(Beijing)Beijing2249China CNPC Bohai Drilling engineering co. LtdTianjin300280China Exploration Development and co.struction engineering Division of Petrochina Jidong oilfield co.pany Tangshan63200HebeiChin Henan University of Urban co.struction Pingdingshan467036HenanChina

To address the two critical issues of evaluating the necessity of implementing co.ling techniques and achieving real-time temperature co.trol of drilling fluids underground in the current drilling fluid co.ling technology,we first established a temperature and pressure co.pled downhole heat transfer model,which can be used in both water-based and oil-based drilling ***,fourteen factors,which co.ld affect wellbore temperature,were *** on the standard deviation of the downhole temperature co.responding to each influencing factor,the influence of each factor was *** influencing factors that can be used to guide the drilling fluid's co.ling technology were drilling fluid thermal co.ductivity,drilling fluid heat capacity,drilling fluid density,drill strings rotation speed,pump rate,visco.ity,ROP,and injection *** nondominated sorting genetic algorithm was used to optimize these six parameters,but the optimization process took 182 *** these eight parameters'influence rules with the nondominated sorting genetic algorithm can reduce the optimization time to 108 ***,the downhole temperature has been demonstrated to increase with the inlet temperature increasing linearly under quasi-steady *** this law and PID,the downhole temperature can be co.trolled,which can reduce the energy for co.ling the surface drilling fluid and can ensure the downhole temperature reaches the set value as soon as possible.

关键词： Drilling co.ling Influencing factors Analysis Optimization co.trol

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Dynamic risk assessment of gas pipeline operation process by fusing visual and olfactory monitoring

引用

Journal of Safety Science and Resilience 2024年第2期5卷 156-166页

作者： Denglong Ma Weigao Mao Guangsen Zhang Chaoyi Liu Yi Han Xiaoming Zhang Hansheng Wang Kang Cen Wan Lu Denghui Li Hanyue Zhang School of Mechanical engineering Xi'an Jiaotong UniversityXi'an 710049China Hanzhong Natural Gas Investinent Development co.ltd Hanzhong723011China Shaanxi Special Equipment Inspection and Testing Institute Xi'an710038China School of Civil engineering and Architecture Southwest Petroleum UniversityChengdu610500China Sichuan Tianxin Gas co.ltd. Mianyang62100China Petro china Southwest oil and Gas Field co.pany Gas Branch Chengdu610500China

With the rapid increase in urban gas co.sumption,the frequency of maintenance and repair of gas pipelines has escalated,leading to a rise in safety accidents during these *** traditional manual supervision model presents challenges such as inaccurate monitoring results,inco.plete risk factor analysis,and a lack of quantitative risk *** research focuses on developing a dynamic risk assessment technology for gas emergency repair operations by integrating the monitoring outco.es of artificial olfactory for gas leakage information and video object reco.nition for visual safety factor monitoring *** quantitatively evaluate the risk of the operation process,a three-dimensional risk assessment model co.bining gas leakage with riskco.related sensitivity was established as well as a separate three-dimensional risk assessment model integrating visual risk factors with predictable risk ***,a visual risk quantification expression mode based on the risk matrix-radar map method was ***,a risk quantification model based on the fusion of visual and olfactory results was *** verification results of simulation scenarios based on field data indicate that the visual-olfactory fusion risk assessment method can more accurately reflect the dynamic risk level of the operation process co.pared to simple visual safety factor *** outco.es of this research can co.tribute to the identification of safety status and early warning of risks related to personnel,equipment,and environmental factors in emergency repair ***,these results can be extended to other operational scenarios,such as oil and gas production stations and long-distance pipeline operations.

关键词： Gas pipelinemaintenance Dynamicriskassessment Visual-olfactoryfusion Risk matrix Risk quantification model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：