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Quantitative evaluation of organic richness from correlation of well logs and geochemical data: a case study of the Lower Permian Taiyuan shales in the southern North China Basin

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Frontiers of Earth Science 2021年第2期15卷 360-377页

作者： Shuai TANG Jinchuan ZHANG weiyao zhu Civil and Resource Engineering School University of Science and Technology BeijingBeijing 100083China School of Energy Resources China University of Geosciences(Beijing)Beijing 100083China

Marine-continental transitional shale is a potential energy component in China and is expected to be a realistic field in terms of increasing reserves and enhancing the natural gas ***,the complex lithology,constantly changing depositional environment and lithofacies make the quantitative determination of the total organic carbon(TOC)suitable for marine shales not necessarily applicable to transitional ***,the identification of marine-continental transitional organic-rich shales and the mechanism of organic matter enrichment need to be further *** a typical representative of transitional shale,samples from Well MY-1 in the Taiyuan Formation in the southern North China Basin,were selected for TOC prediction using a combination of experimental organic geochemical data and well logging data including natural gamma-ray(GR),density(DEN),acoustic(AC),neutron(CNL)and U spectral gamma-ray(U),and TH spectral gamma-ray(TH).The correlation coefficient,coefficient of determination,standard deviation,mean squared error(MSE)and root mean squared error(RMSE)were selected to conduct the error analysis of the evaluation of different well log-based prediction methods,involving U spectral gamma logging,ΔlogR,and multivariate fitting methods to obtain the optimal TOC prediction method for the Taiyuan transitional *** plots of TOC versus the remaining volatile hydrocarbon content and the generation potential from Rock Eval show good to excellent potentials for hydrocarbon *** integrated results obtained from the various log-based TOC estimation methods indicate that,the multivariate fitting method of GR-U-DEN-CNL combination is preferable,with the correlation coefficients of 0.78 and 0.97 for the entire and objective interval of the Taiyuan Formation respectively,and with the minimum MSE and RMSE ***,the U spectral gamma logging method based on single logging parameter is also a better choice for TOC prediction of the high-q

关键词： marine-continental transitional shales total organic carbon thermal maturity well logs

Analysis on nonlinear effect of unsteady percolation in the inhomogeneous shale gas reservoir

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Applied Mathematics and Mechanics(English Edition) 2020年第1期41卷 105-122页

作者： Xinchun SHANG Jiaxuan LIU Xuhua GAO weiyao zhu Department of Applied Mechanics University of Science and Technology BeijingBeijing 100083China Institute of Applied Mechanics University of Science and Technology BeijingBeijing 100083China

The nonlinear effects of unsteady multi-scale shale gas percolation,such as desorption,slippage,diffusion,pressure-dependent viscosity,and compressibility,are investigated by numerical simulation.A new general mathematical model of the problem is built,in which the Gaussian distribution is used to describe the inhomogeneous intrinsic *** on the Boltzmann transformation,an efficient semi-analytical method is *** problem is then converted into a nonlinear equation in an integral form for the pressure field,and a related explicit iteration scheme is constructed by numerical *** validation examples show that the proposed method has good convergence,and the simulation results also agree well with the results obtained from both numerical and actual data of two vertical fractured test wells in the ***,slippage,and diffusion have significant influence on shale gas *** accuracy of the usual technique that the product of viscosity and compressibility is approximated as its value at the average formation pressure is examined.

关键词： shale gas nonlinear effect inhomogeneous permeability unsteady percolation mathematical model semi-analytical method

Identification of carbonate sedimentary facies from well logs with machine learning Author links open overlay panel

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Petroleum Research 2024年第2期9卷 165-175页

作者： Xianmu Hou Peiqing Lian Jiuyu Zhao Yun Zai weiyao zhu Fuyong Wang School of Civil and Resources Engineering University of Science and Technology BeijingBeijing100083China Sinopec Chongqing Fuling Shale Gas Exploration and Development Co. Ltd.Chongqing408000China Sinopec Petroleum Exploration&Production Research Institute SINOPECBeijing100083China National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China ChinKunlun Digital Technology Co.Ltd. Beijing102206China

Sedimentary facies identification is critical for carbonate oil and gas reservoir *** traditional method of sedimentary facies identification not only be affected by the engineer's experience but also takes a long *** carbonate sedimentary facies based on machine learning is the trend of future development and has the advantages of short time consuming and reliable results without engineers'subjective *** many references reported the application of machine learning to identify lithofacies,but identifying sedimentary facies of carbonate reservoirs is much more challenging due to the complex sedimentary environment and tectonic *** paper compares the performance of the carbonate sedimentary facies identification using four different machine learning models,and the optimal machine learning with the highest prediction accuracy is ***,the carbonate sedimentary facies are classified into the lagoon,shallow sea,shoal,fore-shoal,and inter-shoal five tags based on the well ***,five well log curves including spectral gamma ray(SGR),uranium-free gamma ray(CGR),photoelectric absorption cross-section index(PE),true formation resistivity(RT),shallow lateral resistivity(RS)are used as the input,and the manual identified carbonate sedimentary facies are used as the output of the machine learning *** performance of four different machine learning algorithms,including support vector machine(SVM),deep neural network(DNN),long short-term memory(LSTM)network,and random forest(RF)are *** other two wells are used for model *** research results show that the RF method has the highest accuracy of sedimentary facies prediction,and the average prediction accuracy is 78.81%;the average accuracy of sedimentary facies prediction using SVM is 77.93%.The sedimentary facies predictions using DNN and LSTM are less satisfying compared with RF and SVM,and the average accuracy is 69.94%and 73.05%,respect

关键词： Carbonate Sedimentary facies Well logs Machine learning Deep learning

Deployment and Exploration of a Gas Storage Well Pattern Based on the Threshold Radius

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Acta Geologica Sinica(English Edition) 2021年第2期95卷 630-637页

作者： TANG Ligen zhu weiyao zhu Huayin SUN Chunhui YANG Fenglai WANG Yan Li Xiaorui Li Haiming CHU Guangzhen WANG Jieming KONG Debin YUE Ming LIU Yuwei HUANG Kun University of Science and Technology Beijing Beijing 100083China Research Institute of Petroleum Exploration and Development CNPCBeijing 100083China Petro China Liaohe Oilfield Company PanjinLiaoning 124000China Petro China Tarim Oilfield Company KorlaXinjiang 841000China Petro China Southwest Oil and Gas Field Company Chongqing 401121China

To tackle the problem that wells that are deployed in a specific pattern based on the requirements of gas reservoir development are not suitable for gas storage,we have conducted concentrically circular injection and production simulation experiments for gas storage,discovered the existence of a threshold radius,denoted by Rt,and derived the expression for *** on the analysis and discussion results,we propose a strategy for deploying gas storage wells in specific *** expression for Rt shows that it is affected by factors such as the gas storage gas production/injection time,the upper pressure limit,the lower pressure limit,the bottomhole flow pressure at the ends of injection and production,the and *** analysis and discussion results show that the Rt of a gas storage facility is much smaller than the Rt for gas reservoir *** the gas storage facilities in China,the Rt for gas production is less than the Rt for the gas injection,and Rt increases with the difference in the operating pressure and with permeability *** on the characteristics of Rt,we propose three suggestions for gas storage well pattern deployment:(1)calculate Rt according to the designed functions of the gas storage facility and deploy the well pattern according to Rt;(2)deploy sparser,large-wellbore patterns in high-permeability areas and denser,small-wellbore patterns in high-permeability areas;and(3)achieve the gas injection well pattern by new drilling,and the gas production well pattern through a combination of the gas injection well pattern and old *** assessing a gas storage facility with a perfect well pattern after a number of adjustments,we found that the Rt of the 12 wells calculated in this paper is basically close to the corresponding actual radius,which validates our *** results of this study provide a methodological basis for well pattern deployment in new gas storage construction.

关键词： gas storage well deployment strategy gas injection well pattern gas production well pattern threshold radius

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纳米多孔介质中的流体流动

Engineering 2024年第1期32卷 138-151页

作者： weiyao zhu Bin Pan Zhen Chen Wengang Bu Qipeng Ma Kai Liu Ming Yue School of Civil and Resource Engineering University of Science and Technology BeijingBeijing 100083China

Fluid flow at nanoscale is closely related to many areas in nature and technology(e.g.,unconventional hydrocarbon recovery,carbon dioxide geo-storage,underground hydrocarbon storage,fuel cells,ocean desalination,and biomedicine).At nanoscale,interfacial forces dominate over bulk forces,and nonlinear effects are important,which significantly deviate from conventional *** the past decades,a series of experiments,theories,and simulations have been performed to investigate fluid flow at nanoscale,which has advanced our fundamental knowledge of this ***,a critical review is still lacking,which has seriously limited the basic understanding of this *** herein,we systematically review experimental,theoretical,and simulation works on single-and multi-phases fluid flow at *** also clearly point out the current research gaps and future *** insights will promote the significant development of nonlinear flow physics at nanoscale and will provide crucial guidance on the relevant areas.

关键词： Transport in nanoporous media Multi-phase fluid dynamics Nonlinear flow mechanisms Nonlinear flow conservation equations Interfacial forces Molecular dynamics simulation

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页岩气多尺度复杂流动机理与模型研究

中国科学：技术科学 2016年第2期46卷 111-119页

作者：朱维耀亓倩北京科技大学土木与环境工程学院北京100083

页岩气储层纳微米孔隙、裂缝结构复杂,存在多尺度流动,气体的流动规律不同于常规气藏.本文对多孔介质内气体流动进行了研究,利用努森数划分不同尺度下气体流态,阐明了不同区域的流动机理和流动特征;综合考虑达西渗流、滑移扩散效应、井... 详细信息

页岩气储层纳微米孔隙、裂缝结构复杂,存在多尺度流动,气体的流动规律不同于常规气藏.本文对多孔介质内气体流动进行了研究,利用努森数划分不同尺度下气体流态,阐明了不同区域的流动机理和流动特征;综合考虑达西渗流、滑移扩散效应、井筒附近高速非达西效应等多重非线性效应,建立了页岩气储层多尺度统一流动模型.引入页岩气储层基质-压裂缝耦合两区模型,建立了页岩气储层压裂井定压条件下的两区压力分布和产能预测方程,并结合生产实例进行了参数敏感性分析.结果表明:随着滑移扩散系数、分形系数、压裂半径的增大,页岩气井产能增加,且增加幅度减小;考虑高速非达西效应较不考虑高速非达西效应时,页岩储层产能偏低,且高速非达西效应的影响小于滑移扩散对产能的影响.该模型为体积压裂页岩气产能预测及开发指标优化提供了理论依据.

关键词：页岩气滑移高速非达西压裂井产能

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复合材料层合板低速冲击损伤的有限元模拟

复合材料学报 2010年第6期27卷 200-207页

作者：朱炜垚许希武南京航空航天大学结构与强度研究所飞行器结构力学与控制教育部重点实验室南京210016

建立了用于预测复合材料层合板在低速冲击作用下损伤的3D有限元模型。采用应变描述的失效判据来判断铺层层内的各类损伤,如纤维断裂、纤维挤压、基体开裂、基体挤裂,并结合相应的刚度折减方案对失效单元进行刚度折减。使用界面元模拟层... 详细信息

建立了用于预测复合材料层合板在低速冲击作用下损伤的3D有限元模型。采用应变描述的失效判据来判断铺层层内的各类损伤,如纤维断裂、纤维挤压、基体开裂、基体挤裂,并结合相应的刚度折减方案对失效单元进行刚度折减。使用界面元模拟层间区域,结合传统的应力失效判据和断裂力学中的能量释放率准则来定义分层损伤的起始和演化规律,提出了一种界面元损伤起始强度沿厚度方向的分布函数。通过对数值仿真结果和实验结果的比较,验证了模型的合理性和准确性。

关键词：复合材料低速冲击有限元界面元

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有轨电车箱式变电站小型化设计及其应用

城市轨道交通研究 2021年第S2期24卷 61-65页

作者：朱唯耀上海市城市建设设计研究总院(集团)有限公司上海200125 上海有轨电车工程技术研究中心上海200125

由于有轨电车项目沿线用地紧张,牵引降压变电站选址相对困难。以浙江某地有轨电车项目的箱式变电站为例,分析其标准化方案布置、小型化设备选用以及箱式变电站整体要求,以其为后续同类工程的箱式变电站设计与优化提供借鉴。

关键词：有轨电车牵引降压混合变电站箱式变电站小型化设备

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复合材料层合板结构的广义强度准则

南京航空航天大学学报 2009年第3期41卷 302-307页

作者：林智育许希武朱炜垚南京航空航天大学航空宇航学院南京210016

在试验研究的基础上,将复合材料层合板看作一个"宏观各向异性板",提出了一种基于试验的复合材料层合板结构广义强度准则的二次完备表达式,并分析了表达式中各参数的试验求解方法。对3种典型铺层的层合板进行纵向拉伸、纵向压缩、横向拉... 详细信息

在试验研究的基础上,将复合材料层合板看作一个"宏观各向异性板",提出了一种基于试验的复合材料层合板结构广义强度准则的二次完备表达式,并分析了表达式中各参数的试验求解方法。对3种典型铺层的层合板进行纵向拉伸、纵向压缩、横向拉伸、横向压缩、面内剪切等简单载荷以及双向拉伸、拉剪组合(纵向、横向)等组合载荷试验。给出了不同铺层形式下广义强度准则表达式中各项系数值。采用该强度准则预测复杂应力状态下的破坏应力与试验值吻合较好。

关键词：复合材料层合板逐层破坏刚度依次折减广义强度准则