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Influence of geological factors on coal permeability in the Sihe coal mine

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International Journal of Coal Science & Technology 2022年第1期9卷 58-70页

作者： guangui zou Qianhua Zhang Suping Peng Jiasheng She Deliang Teng Chaochao Jin Yuyan Che State Key Laboratory of Coal Resources and Safe Mining BeijingChina College of Geoscience and Surveying Engineering China University of Mining&TechnologyBeijingChina

Permeability of coal reservoirs influence the extraction of coal gas from coal *** coal samples were collected at an anticline and a syncline of the No.3 coal seam in the Sihe coal ***,permeability,pore size,vitrinite reflectance,and liquid nitrogen adsorption of the samples were *** curvatures at the sample locations,and the distance between the sampling locations and the nearest faults were calculated based on seismic *** influences of the evaluated parameters on permeability were *** factors that influence permeability of the No.3 coal seam were extracted using principal component analysis(PCA).Based on the porosity–permeability model derived from the Archie formula and classic Kozeny–Carman equation,we deduced that the permeability of coal increased with an increase in *** an increase in average vitrinite reflectance,permeability decreases first and then *** results showed that coal permeability was regulated by three key components representing three *** first component included pore size,depth,and pore complexity accounting for 52.59%of the variability indicating that it was the most important in controlling *** second component included specific surface area,structural curvature,and porosity,and the third component comprised of specific surface area,porosity,and average vitrinite ***,pore diameter and complexity had significant effects on coal *** results show that researchers and stakeholders must consider the interactions among multiple factors rather than single factors to understand the influences on permeability to facilitate efficient utilization of coalbed methane resources.

关键词： Coal mine Permeability Geological factors Principal component analysis

Two-dimensional SEM image-based analysis of coal porosity and its pore structure

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International Journal of Coal Science & Technology 2020年第2期7卷 350-361页

作者： guangui zou Jiasheng She Suping Peng Quanchun Yin Hongbin Liu Yuyan Che State Key Laboratory of Coal Resources and Safe Mining China University of Mining and TechnologyBeijingBeijing100083China College of Geoscience and Surveying Engineering China University of Mining and TechnologyBeijingBeijing100083China

A quantitative analysis of the porosity,pore size distribution,and fractal dimensions of pores is significant for studying the pore structure characteristics of *** study utilized 12 anthracite coal samples from the Sihe mining area to explore the pore structure characteristics of the coal *** randomly selected points on each sliced coal sample were imaged via scanning electron microscopy,and a total of 1200 images were used for the *** porosity and fractal dimensions of the coal samples were analyzed via digital image processing and box-counting dimension *** method is characterized by extensive graphical analysis,and the results are based on statistical *** were also used to analyze the structural and development characteristics of the microscopic pores in the *** results reveal that the surface porosity obtained via digital image processing was 16.11%lower than that measured *** fractal dimension and porosity of the pore surface were fitted to a natural logarithmic *** rate of change in the pore fractal dimension depends on the porosity such that,to some degree,a greater porosity is associated with more complex pore structures,a higher degree of micropore development,and improved pore connectivity.

关键词： Coal porosity SEM Pore structure Fractal dimensions Digital image processing

Seismic studies of coal bed methane content in the west coal mining area of Qinshui Basin

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International Journal of Mining Science and Technology 2013年第6期23卷 795-803页

作者： zou guangui Peng Suping Yin Caiyun Xu Yanyong Chen Fengying Liu Jinkai State Key Laboratory of Coal Resource and Safe Mining China University of Mining&Technology

The coal bed methane content(CBMC)in the west mining area of Jincheng coalfield,southeastern Qjnshui Basin,is studied based on seismic data and well-logs together with laboratory *** results show that the Shuey approximation has better adaptability according to the Zoeppritz equation result;the designed fold number for an ordinary seismic data is sufficient for post-stack data but insufficient for pre-stack data regarding the signal to noise ratio(SNR).Therefore a larger grid analysis was created in order to improve the *** velocity field created by logging is better than that created by stack velocity in both accuracy and effectiveness.A reasonable distribution of the amplitude versus offset(AVO)attributes can be facilitated by taking the AVO response from logging as a standard for calibrating the amplitude *** AVO attributes have a close relationship with *** worst attribute is polarization magnitude,for which the correlation coefficient is 0.308;and the best attribute is the polarization product from intercept,of which the correlation coefficient *** predicted by AVO attributes is better overall than that predicted by direct interpolation of CBMC;the validation error of the former is 14.47%,which is lower than that of the latter 23.30%.CBMC of this area ranges from2.5 m^3/t to 22 m^3/*** CBMC in the syncline is over 10m^3/t,but it is below 10m^3/t in the anticline;on the whole,CBMC in the syncline is higher than that in anticline.

关键词： Coal bed methane content Amplitude versus offset AVO attribute Correlation coefficient

Modeling seismic wave propagation in a coal-bearing porous medium by a staggered-grid finite difference method

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Mining Science and Technology 2011年第5期21卷 727-731页

作者： zou guangui Peng Suping Yin Caiyun Deng Xiaojuan Chen Fengying Xu Yanyong State Key Laboratory of Coal Resources and Mine Safety China University of Mining ＆ Technology Beijing 100083 China

A staggered-grid finite difference method is used to model seismic wave records in a coal bearing, porous medium. The variables analyzed include the order of the difference calculations, the use of a perfect match layer to provide absorbing boundary conditions, the source location, the stability conditions, and dispersion in the medium. The results show that the location of the first derivative of the dynamic variable with respect to space is coincident with the location of the first derivative of the kinematic varable with respect to time. Outgoing waves are effectively absorbed and reflection at the boundary is very weak when more than 20 perfect match layer cells are used. Blot theory considers the liquid phase to be homogeneous so the ratio of liquid to solid exposure of the seismic source depends upon the medium porosity. Numerical dispersion and generation of false frequencies is reduced by increasing the accuracy of the difference calculations and by reducing the grid size and time step. Temporal second order accuracy, a tenth order spatial accuracy, and a wavelength over more than ten grid points gave acceptable numerical results. Larger grid step sizes in the lateral direction and smaller grid sizes in the vertical direction allow control of dispersion when the medium is a low speed body. This provides a useful way to simulate seismic waves in a porous coal bearing medium.

关键词： CoalPorous mediaStaggered-grid finite differenceSeismic wave propagation

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非平衡学习的地震断层识别研究

地质论评 2023年第S1期69卷 433-434页

作者：薛静雯邹冠贵韩成阳中国矿业大学(北京)地球科学与测绘工程学院北京100083 中国矿业大学(北京)煤炭资源与安全开采国家重点实验室北京100083

利用三维地震数据开展断层自动识别研究时发现,基于矿区揭露信息的数据集的构建直接影响了机器学习算法对断层识别的最终效果。在实际工作中,可收集到的已揭露的断层点数量往往远小于非断层点的数量,这导致构建的地震属性数据集是不平... 详细信息

利用三维地震数据开展断层自动识别研究时发现,基于矿区揭露信息的数据集的构建直接影响了机器学习算法对断层识别的最终效果。在实际工作中,可收集到的已揭露的断层点数量往往远小于非断层点的数量,这导致构建的地震属性数据集是不平衡的。在机器学习领域,解决非平衡数据集分类常用的方法主要有三类,主要包括:基于数据集重构的重采样方法;结合多个学习器对数据进行综合判断的集成学习方法.

关键词： AdaBoost 随机欠采样断层识别

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夏店煤矿断层的支持向量机预测研究

地质论评 2023年第S1期69卷 119-120页

作者：韩成阳邹冠贵薛静雯中国矿业大学(北京)地球科学与测绘工程学院北京100083 中国矿业大学(北京)煤炭资源与安全开采国家重点实验室北京100083

近年来夏店煤矿在开采过程中,发现采区内断层特别发育,严重影响了煤矿的高效开采与经济效益。因此亟须通过物探手段来解决当下遇到的困局,不过传统的地震解释周期长,人工多,不能够满足煤矿的迫切需求。不过随着计算机科技的进步,将机器... 详细信息

近年来夏店煤矿在开采过程中,发现采区内断层特别发育,严重影响了煤矿的高效开采与经济效益。因此亟须通过物探手段来解决当下遇到的困局,不过传统的地震解释周期长,人工多,不能够满足煤矿的迫切需求。不过随着计算机科技的进步,将机器学习技术应用于地震数据解释开始受到关注,例如使用和深度学习方法在弹性波阻抗数据体上,开展地震相分类。

关键词：地震属性支持向量机断层预测

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基于LLE和SVM的地震断层自动识别方法

煤炭学报 2023年第4期48卷 1634-1644页

作者：邹冠贵丁建宇任珂殷裁云董青山中国矿业大学(北京)地球科学与测绘工程学院北京100083 中国矿业大学(北京)煤炭资源与安全开采国家重点实验室北京100083 华能煤炭技术研究有限公司北京101100

传统地震资料的断层解释主要依靠解释者的知识和经验,存在工作量大、效率低的问题。基于机器学习的断层识别方法,可以融合已有的地质资料、解释人员的知识和经验,构建高质量的数据集,增加解释的准确率。为了提高机器学习方法断层解释的... 详细信息

传统地震资料的断层解释主要依靠解释者的知识和经验,存在工作量大、效率低的问题。基于机器学习的断层识别方法,可以融合已有的地质资料、解释人员的知识和经验,构建高质量的数据集,增加解释的准确率。为了提高机器学习方法断层解释的准确率,构建基于局部线性嵌入(LLE)和支持向量机(SVM)算法的断层识别方法。首先,介绍了LLE和SVM算法的基本原理,说明各算法的计算过程和主要参数;然后建立断层正演模型,分析不同属性的断层响应特征,针对训练数据集中多种地震属性之间的信息冗余,分别通过LLE和主成分分析(PCA)2种算法对地震属性数据进行降维,引入的量化指标计算结果表明LLE算法对于非线性数据体有较好的降维效果;利用西上庄井田6条巷道、5口钻井揭露的11854个已知构造信息的数据点,分别训练SVM,PCA-SVM和LLE-SVM断层识别模型;以准确率A、查全率R、查准率P、F作为模型的衡量标准,对比各模型在工区数据上的预测分类性能;其中,LLE-SVM模型综合表现最佳,查准率可达94.4%,远高于其他模型;最后,利用构建的各模型对整个工区进行预测,并结合实际揭露情况和人机交互解释结果进行分析。综合结果表明,基于LLE和SVM的断层识别方法在去除冗余信息的同时能够有效突出断层响应特征,减少主观人为因素的影响,提高断层解释的效率。

关键词：断层识别地震属性优化煤田三维地震局部线性嵌入支持向量机

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煤弹性参数频率的依赖性测试技术

地质论评 2023年第S1期69卷 339-340页

作者：曾葫佘佳生邹冠贵中国矿业大学(北京)煤炭资源与安全开采国家重点实验室北京100083 中国矿业大学(北京)地球科学与测绘工程学院北京100083

地球物理勘探中,对于弹性参数的获取途径,般有地震勘探,声波测井以及实验室测量三类手段。首先,传统的实验室速度测量是在MHz频率范围内进行的,声波测井在10 k Hz频率范围内进行的,地面地震在0~100 Hz频率范围内进行的。对于常用的弹性... 详细信息

地球物理勘探中,对于弹性参数的获取途径,般有地震勘探,声波测井以及实验室测量三类手段。首先,传统的实验室速度测量是在MHz频率范围内进行的,声波测井在10 k Hz频率范围内进行的,地面地震在0~100 Hz频率范围内进行的。对于常用的弹性参数数据,不同的获取途径之间有着测量频率的区别。当今具有挑战性的探索要求我们利用所有类型的数据进行更好的综合定量解释。

关键词：煤频散衰减

煤弹性参数的影响因素分析及其AVO响应特征

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煤炭学报 2023年第S1期48卷 194-208页

作者：吴雨珊邹冠贵曾葫佘佳生赵太郎中国矿业大学(北京)地球科学与测绘工程学院北京100083 中国矿业大学(北京)煤炭资源与安全开采国家重点实验室北京100083

研究煤弹性参数的影响因素可以揭示煤层AVO响应的物理含义,有利于指导复杂地质条件下的煤层气勘探。以沁水盆地寺河矿区3号煤层的60块煤样为研究对象,根据煤的工业成分分析、矿物成分分析和地层条件下测试结果,基于BET多层吸附理论(The ... 详细信息

研究煤弹性参数的影响因素可以揭示煤层AVO响应的物理含义,有利于指导复杂地质条件下的煤层气勘探。以沁水盆地寺河矿区3号煤层的60块煤样为研究对象,根据煤的工业成分分析、矿物成分分析和地层条件下测试结果,基于BET多层吸附理论(The Brunauer-Emmett-Teller theory)和自洽模型构建不同流体饱和的煤层气储层岩石物理模型。主要考虑3种流体饱和情况:1种为完全水饱和,另外2种为不同的含水、吸附气和游离气的多相混合流体。在此基础上,分析煤基质组成、孔隙率和流体饱和情况对煤的弹性参数的综合影响,进一步开展含煤地层在不同孔隙率、不同流体饱和情况下的地震AVO响应特征分析。结果表明:研究区内,煤的孔隙率是引起煤纵横波速度、多相流体饱和煤体积模量变化的主要影响因素,且孔隙率增大引起多相流体饱和煤体积模量的变化较明显;相比于孔隙率,不同煤基质组成对完全水饱和煤体积模量、密度的影响更为显著;不同流体饱和情况引起的煤弹性参数变化相较于孔隙率、煤基质组成小。分析含煤地层的AVO响应特征可以发现,孔隙率与AVO属性呈一定线性关系,含水饱和度与AVO属性呈一定非线性关系;与其他AVO属性相比,横波阻抗属性在不同孔隙率、不同流体饱和情况下的地震AVO响应最为显著。

关键词： BET多层吸附煤的弹性参数 AVO属性煤层气