不同煤体结构煤储层与煤层气井产出煤粉特征的关系——以鄂尔多斯盆地东缘柳林区块为例

doi:10.7623/syxb202306009

石油学报 ›› 2023, Vol. 44 ›› Issue (6): 1000-1014.DOI: 10.7623/syxb202306009

不同煤体结构煤储层与煤层气井产出煤粉特征的关系——以鄂尔多斯盆地东缘柳林区块为例

魏迎春^1,2, 孟涛¹, 张劲¹, 王安民¹, 王亚东¹

1. 中国矿业大学(北京)地球科学与测绘工程学院北京 100083;
2. 中联煤层气国家工程研究中心有限责任公司北京 100095

收稿日期:2021-12-02 修回日期:2023-03-21 出版日期:2023-06-25 发布日期:2023-07-03
通讯作者: 魏迎春,女,1977年10月生,2011年获中国矿业大学(北京)博士学位,现为中国矿业大学(北京)教授、博士生导师,主要从事煤与煤层气地质、勘探与开发方面的教学和科研工作。
作者简介:魏迎春,女,1977年10月生,2011年获中国矿业大学(北京)博士学位,现为中国矿业大学(北京)教授、博士生导师,主要从事煤与煤层气地质、勘探与开发方面的教学和科研工作。Email:wyc@cumtb.edu.cn
基金资助:
国家重点研发计划项目（2021YFC2902004）和国家自然科学基金项目（No.41972174）资助。

Relationship between coal reservoirs with different coal structures and the characteristics of coal fines produced in CBM wells: a case study of Liulin block at the eastern margin of Ordos Basin

Wei Yingchun^1,2, Meng Tao¹, Zhang Jin¹, Wang Anmin¹, Wang Yadong¹

1. School of Geosciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China;
2. China United Coalbed Methane National Engineering Research Center Co., Ltd., Beijing 100095, China

Received:2021-12-02 Revised:2023-03-21 Online:2023-06-25 Published:2023-07-03

摘要/Abstract

摘要： 不同类型煤体结构煤储层对煤层气井产出煤粉的影响不同。以鄂尔多斯盆地东缘柳林区块为研究区，为了查明不同煤体结构煤储层分布及其对煤粉产出的影响，基于测井资料构建了主成分分析-支持向量机（PCA-SVM）煤体结构预测模型，应用PCA-SVM模型预测了柳林区块3+4号煤层不同煤体结构煤的分布。根据煤层气井产出煤粉监测和测试结果，分析了煤层气井产出煤粉特征，探讨了煤储层的煤体结构与煤层气井产出煤粉特征的关系。研究结果表明：研究区3+4号煤层煤体结构类型以Ⅱ类煤为主，Ⅰ类煤次之，Ⅲ类煤最少。垂向上，3+4号煤层不同煤体结构煤分层发育，平面上，3+4号煤层的Ⅰ类煤主要分布在研究区中部和东南部，Ⅱ类煤和Ⅲ类煤主要发育在研究区北部和西南部。研究区内的主要构造控制了3+4号煤层煤体结构的平面分布，Ⅰ类煤主要发育在离断层和褶皱较远的构造简单区，Ⅱ类煤主要发育在背斜轴部及伴生断层附近，研究区北部的Ⅲ类煤主要受聚财塔大断层的控制，南部的Ⅲ类煤主要受褶皱和断层双重构造作用的影响。煤体结构类型决定了产出煤粉特征，构造煤是煤粉产出的主要控制因素。不同类型煤体结构煤储层产出煤粉质量浓度大小为Ⅲ类煤>Ⅱ类煤>Ⅰ类煤，Ⅲ类煤对产出煤粉质量浓度起着主导作用，随着Ⅲ类煤厚度的增加，产出煤粉的粒径整体呈现出变小的趋势。不同类型煤体结构煤储层产出煤粉的形态特征不同，Ⅰ类煤产出的煤粉多呈柱状、不规则块状，Ⅱ类煤产出的煤粉多呈块状、球粒状，Ⅲ类煤产出的煤粉多呈片状、薄片状。产出煤粉特征与煤体结构类型具有良好的相关性，因此，可以用煤层气井产出煤粉特征来验证测井判断煤体结构的解释结果。

关键词: 煤层气, 煤体结构, 构造煤, 煤粉, 柳林区块, 鄂尔多斯盆地

Abstract: Coal reservoirs with different coal structures may have different effects on the output of coal fines produced in coalbed methane (CBM)wells. This paper is a case study of Liulin CBM block at the eastern margin of Ordos Basin. To ascertain the distribution of coal reservoirs with different coal structures and its impact on the output of coal fines, the paper establishes a coal structure prediction model based on PCA-SVM (Principal Component Analysis-Support Vector Machine) and log data, and the PCA-SVM model is used to predict the distribution of coal with different coal structures in No. 3-4 coal seams of Liulin block. According to the monitoring and test results of coal fines produced in CBM wells, the paper analyzes the output characteristics of CBM coal fines, and also explores the relationship between coal structure and the characteristics of coal fines produced in CBM wells. The results shows that the coal structures of No. 3-4 coal seams in the study area are dominated by Type Ⅱ coal, followed by Type Ⅰ and Type Ⅲ in a decreasing order. Vertically, the No. 3-4 coal seams with different coal structures are developed in separate layers. Horizontally, Type Ⅰ coal of No. 3-4 coal seams is mainly distributed in the middle and southeast of the study area, while Type Ⅱ and Ⅲ coals are mainly developed in the north and southwest of the study area. The horizontal distribution of different coal structures in No. 3-4 coal seams are controlled by the main structures in the study area. Type Ⅰ coal is mainly developed in areas with simple structures far away from faults and folds, while Type Ⅱ is mainly developed in areas near the anticline axis and associated faults. Type Ⅲ coal in the northern part of the study area is mainly controlled by Jucaita fault, while Type Ⅲ in the southern area is mainly affected by the dual tectonic actions of folds and faults. The type of coal structure determines the output characteristics of coal fines, and tectonic coal is the major controlling factor for the output of coal fines. The concentration of coal fines produced from coal reservoirs with different coal structures is ranked as follows:Type Ⅲ > Type Ⅱ > Type I. Among them, Type Ⅲ plays a leading role in the concentration of coal fines. As the thickness of Type Ⅲ increases, the particle size of coal fines turns to decrease on the whole. The morphological characteristics of coal fines are different in coal reservoirs with different coal structures. Specifically, the coal fines from Type I are mostly columnar and irregularly massive-shaped, those from Type Ⅱ are mostly massive and spherulitic, while those from Type Ⅲ are mostly flake-shaped and sheet-like. In addition, there is a good correlation between the characteristics of coal fines and the type of coal structures. Therefore, the characteristics of coal fines produced from CBM wells can be used to verify logging, and further judge the interpretation results on coal structures.

Key words: coalbed methane, coal structure, tectonic coal, coal fines, Liulin block, Ordos Basin

中图分类号:

TE19

魏迎春, 孟涛, 张劲, 王安民, 王亚东. 不同煤体结构煤储层与煤层气井产出煤粉特征的关系——以鄂尔多斯盆地东缘柳林区块为例[J]. 石油学报, 2023, 44(6): 1000-1014.

Wei Yingchun, Meng Tao, Zhang Jin, Wang Anmin, Wang Yadong. Relationship between coal reservoirs with different coal structures and the characteristics of coal fines produced in CBM wells: a case study of Liulin block at the eastern margin of Ordos Basin[J]. Acta Petrolei Sinica, 2023, 44(6): 1000-1014.

参考文献

[1] 魏迎春, 张劲, 曹代勇, 等. 煤层气开发中煤粉问题的研究现状及研究思路[J].煤田地质与勘探, 2020, 48(6):116-124.
WEI Yingchun, ZHANG Jin, CAO Daiyong, et al.Research status and thoughts for coal fines during CBM development[J].Coal Geology & Exploration, 2020, 48(6):116-124.
[2] 张抗, 张立勤, 刘冬梅.近年中国油气勘探开发形势及发展建议[J].石油学报, 2022, 43(1):15-28.
ZHANG Kang, ZHANG Liqin, LIU Dongmei.Situation of China's oil and gas exploration and development in recent years and relevant suggestions[J].Acta Petrolei Sinica, 2022, 43(1):15-28.
[3] 张遂安, 刘欣佳, 温庆志, 等.煤层气增产改造技术发展现状与趋势[J].石油学报, 2021, 42(1):105-118.
ZHANG Sui'an, LIU Jiaxin, WEN Qingzhi, et al.Development situation and trend of stimulation and reforming technology of coalbed methane[J].Acta Petrolei Sinica, 2021, 42(1):105-118.
[4] 何登发, 包洪平, 开百泽, 等.鄂尔多斯盆地及其邻区关键构造变革期次及其特征[J].石油学报, 2021, 42(10):1255-1269.
HE Dengfa, BAO Hongping, KAI Baize, et al.Critical tectonic modification periods and its geologic features of Ordos Basin and adjacent area[J].Acta Petrolei Sinica, 2021, 42(10):1255-1269.
[5] CHENG Yuanping, PAN Zhejun.Reservoir properties of Chinese tectonic coal:a review[J].Fuel, 2020, 260:116350.
[6] 吴国代, 桑树勋, 程军, 等.基于卸压煤层气开发的构造煤储层孔渗特征与类型划分——以淮南矿区为例[J].石油学报, 2013, 34(4):712-719.
WU Guodai, SANG Shuxun, CHENG Jun, et al.Poroperm characteristics and classification of tectonic coal beds for pressure-relieved methane exploitation:a case study on Huainan mining area[J].Acta Petrolei Sinica, 2013, 34(4):712-719.
[7] 边利恒, 熊先钺, 王伟, 等.韩城区块煤体结构分布规律及射孔优化方法[J].煤炭学报, 2017, 42(S1):209-214.
BIAN Liheng, XIONG Xianyue, WANG Wei, et al.Distribution law of coal structure and perforation optimization method in Hancheng block[J].Journal of China Coal Society, 2017, 42(S1):209-214.
[8] 张小东, 杜志刚, 李朋朋.不同煤体结构的高阶煤储层物性特征及煤层气产出机理[J].中国科学:地球科学, 2017, 47(1):72-81.
ZHANG Xiaodong, DU Zhigang, LI Pengpeng.Physical characteristics of high-rank coal reservoirs in different coal-body structures and the mechanism of coalbed methane production[J].Science China Earth Sciences, 2017, 60(2):246-255.
[9] LI Song, TANG Dazhen, XU Hao, et al.Advanced characterization of physical properties of coals with different coal structures by nuclear magnetic resonance and X-ray computed tomography[J].Computers & Geosciences, 2012, 48:220-227.
[10] 韩文龙, 王延斌, 倪小明, 等.多期构造运动对深部煤储层物性特征影响研究[J].煤炭科学技术, 2021, 49(10):208-216.
HAN Wenlong, WANG Yanbin, NI Xiaoming, et al.Study on impact of multi-period tectonic movement on deep coal reservoir physical properties[J].Coal Science and Technology, 2021, 49(10):208-216.
[11] TANG Shuling, TANG Dazhen, LI Song, et al.Fracture system identification of coal reservoir and the productivity differences of CBM wells with different coal structures:a case in the Yanchuannan block, Ordos Basin[J].Journal of Petroleum Science and Engineering, 2018, 161:175-189.
[12] 康志勤, 李翔, 李伟, 等.煤体结构与甲烷吸附/解吸规律相关性实验研究及启示[J].煤炭学报, 2018, 43(5):1400-1407.
KANG Zhiqin, LI Xiang, LI Wei, et al.Experimental investigation of methane adsorption/desorption behavior in coals with different coal-body structure and its revelation[J].Journal of China Coal Society, 2018, 43(5):1400-1407.
[13] 胡秋嘉, 李梦溪, 乔茂坡, 等.沁水盆地南部高阶煤煤层气井压裂效果关键地质因素分析[J].煤炭学报, 2017, 42(6):1506-1516.
HU Qiujia, LI Mengxi, QIAO Maopo, et al.Analysis of key geologic factors of fracturing effect of CBM wells for high-rank coal in southern Qinshui Basin[J].Journal of China Coal Society, 2017, 42(6):1506-1516.
[14] 郑长东, 秦勇, 杨兆彪, 等.黔北煤田长岗向斜煤储层特征与压裂可改造性研究[J].煤炭科学技术, 2018, 46(9):208-216.
ZHENG Changdong, QIN Yong, YANG Zhaobiao, et al.Study on coal reservoir features and fracturing reconstruction in Changgang syncline of Qianbei coalfield[J].Coal Science and Technology, 2018, 46(9):208-216.
[15] NI Xiaoming, TAN Xuebin, YANG Sen, et al.Evaluation of coal reservoir coalbed methane production potential in considering different coal structures in a coal seam section:a case study of the Shizhuang north block in the Qinshui Basin[J].Environmental Earth Sciences, 2021, 80(19):676.
[16] 魏迎春, 张傲翔, 姚征, 等.韩城区块煤层气排采中煤粉产出规律研究[J].煤炭科学技术, 2014, 42(2):85-89.
WEI Yingchun, ZHANG Aoxiang, YAO Zheng, et al.Research on output laws of pulverized coal during coalbed methane drainage in Hancheng block[J].Coal Science and Technology, 2014, 42(2):85-89.
[17] WEI Yingchun, LI Chao, CAO Daiyong, et al.New progress on the coal fines affecting the development of coalbed methane[J].Acta Geologica Sinica-English Edition, 2018, 92(5):2060-2062.
[18] WEI Yingchun, CAO Daiyong, YUAN Yuan, et al.Characteristics of pulverized coal during coalbed methane drainage in Hancheng block, Shaanxi Province, China[J].Energy Exploration & Exploitation, 2013, 31(5):745-758.
[19] 魏迎春, 曹代勇, 袁远, 等.韩城区块煤层气井产出煤粉特征及主控因素[J].煤炭学报, 2013, 38(8):1424-1429.
WEI Yingchun, CAO Daiyong, YUAN Yuan, et al.Characteristics and controlling factors of pulverized coal during coalbed methane drainage in Hancheng area[J].Journal of China Coal Society, 2013, 38(8):1424-1429.
[20] 胡胜勇, 郝勇鑫, 陈云波, 等.煤粉运移与沉积对支撑裂缝渗透率动态影响规律[J].煤炭学报, 2021, 46(4):1288-1296.
HU Shengyong, HAO Yongxin, CHEN Yunbo, et al.Dynamic influence law of coal powder migration and deposition on propped fracture permeability[J].Journal of China Coal Society, 2021, 46(4):1288-1296.
[21] 魏迎春, 李超, 曹代勇, 等.煤层气洗井中煤粉分散剂对煤岩的影响[J].煤炭学报, 2018, 43(7):1951-1958.
WEI Yingchun, LI Chao, CAO Daiyong, et al.Effect of pulverized coal dispersant on coal in the CBM well-washing technology[J].Journal of China Coal Society, 2018, 43(7):1951-1958.
[22] 魏迎春, 李超, 曹代勇, 等.煤层气洗井中不同粒径煤粉的分散剂优选实验[J].煤炭学报, 2017, 42(11):2908-2913.
WEI Yingchun, LI Chao, CAO Daiyong, et al.Experiment on screening dispersants of pulverized coal with different sizes in CBM well-washing technology[J].Journal of China Coal Society, 2017, 42(11):2908-2913.
[23] 陈振宏, 王一兵, 孙平.煤粉产出对高煤阶煤层气井产能的影响及其控制[J].煤炭学报, 2009, 34(2):229-232.
CHEN Zhenhong, WANG Yibing, SUN Ping.Destructive influences and effectively treatments of coal powder to high rank coalbed methane production[J].Journal of China Coal Society, 2009, 34(2):229-232.
[24] YAO Zheng, CAO Daiyong, WEI Yingchun, et al.Experimental analysis on the effect of tectonically deformed coal types on fines generation characteristics[J].Journal of Petroleum Science and Engineering, 2016, 146:350-359.
[25] 曹代勇, 袁远, 魏迎春, 等.煤粉的成因机制-产出位置综合分类研究[J].中国煤炭地质, 2012, 24(1):10-12.
CAO Daiyong, YUAN Yuan, WEI Yingchun, et al.Comprehensive classification study of coal fines genetic mechanism and origin site[J].Coal Geology of China, 2012, 24(1):10-12.
[26] CHEN Yue, TANG Dazhen, XU Hao, et al.Structural controls on coalbed methane accumulation and high production models in the eastern margin of Ordos Basin, China[J].Journal of Natural Gas Science and Engineering, 2015, 23:524-537.
[27] 陈文文, 王生维, 秦义, 等.煤层气井煤粉的运移与控制[J].煤炭学报, 2014, 39(S2):416-421.
CHEN Wenwen, WANG Shengwei, QIN Yi, et al.Migration and control of coal powder in CBM well[J].Journal of China Coal Society, 2014, 39(S2):416-421.
[28] 何健, 文晓涛, 李波, 等.基于随机森林算法的叠前流体识别[J].石油学报, 2022, 43(3):376-385.
HE Jian, WEN Xiaotao, LI Bo, et al.The pre-stack fluid identification method based on random forest algorithm[J].Acta Petrolei Sinica, 2022, 43(3):376-385.
[29] 陈跃, 汤达祯, 许浩, 等.基于测井信息的韩城地区煤体结构的分布规律[J].煤炭学报, 2013, 38(8):1435-1442.
CHEN Yue, TANG Dazhen, XU Hao, et al.The distribution of coal structure in Hancheng based on well logging data[J].Journal of China Coal Society, 2013, 38(8):1435-1442.
[30] 侯月华, 姚艳斌, 杨延辉, 等.基于对应分析技术的煤体结构判别:以沁水盆地安泽区块为例[J].煤炭学报, 2016, 41(8):2041-2049.
HOU Yuehua, YAO Yanbin, YANG Yanhui, et al.Discriminate method of coal structure based on correspondence analysis technology:a case study in the Anze area, Qinshui Basin[J].Journal of China Coal Society, 2016, 41(8):2041-2049.
[31] 艾林, 周明顺, 张杰, 等.基于煤岩脆性指数的煤体结构测井定量判识[J].岩性油气藏, 2017, 29(2):139-144.
AI Lin, ZHOU Mingshun, ZHANG Jie, et al.Quantitative identification of coal structure based on coal rock brittleness index by logging data[J].Lithologic Reservoirs, 2017, 29(2):139-144.
[32] 徐光波, 赵金环, 崔周旗, 等.沁水盆地南部安泽区块煤体结构测井识别研究[J].煤炭科学技术, 2018, 46(5):179-184.
XU Guangbo, ZHAO Jinhuan, CUI Zhouqi, et al.Study on well logging identification of coal structure in Anze block of southern Qinshui Basin[J].Coal Science and Technology, 2018, 46(5):179-184.
[33] SHI Jinxiong, ZENG Lianbo, DONG Shaoqun, et al.Identification of coal structures using geophysical logging data in Qinshui Basin, China:investigation by kernel fisher discriminant analysis[J].International Journal of Coal Geology, 2020, 217:103314.
[34] TENG Juan, YAO Yanbin, LIU Dameng, et al.Evaluation of coal texture distributions in the southern Qinshui Basin, North China:investigation by a multiple geophysical logging method[J].International Journal of Coal Geology, 2015, 140:9-22.
[35] 梅放, 康永尚, 李喆, 等.中高煤阶煤层煤体结构识别测井法适用性评价研究[J].煤炭科学技术, 2019, 47(7):95-107.
MEI Fang, KANG Yongshang, LI Zhe, et al.Applicability evaluation of logging method for recognition of coal body structure in medium and high rank coal seams[J].Coal Science and Technology, 2019, 47(7):95-107.
[36] 李宁, 徐彬森, 武宏亮, 等.人工智能在测井地层评价中的应用现状及前景[J].石油学报, 2021, 42(4):508-522.
LI Ning, XU Binsen, WU Hongliang, et al.Application status and prospects of artificial intelligence in well logging and formation evaluation[J].Acta Petrolei Sinica, 2021, 42(4):508-522.
[37] REN Pengfei, XU Hao, TANG Dazhen, et al.The identification of coal texture in different rank coal reservoirs by using geophysical logging data in northwest Guizhou, China:investigation by principal component analysis[J].Fuel, 2018, 230:258-265.
[38] 李苍柏, 肖克炎, 李楠, 等.支持向量机、随机森林和人工神经网络机器学习算法在地球化学异常信息提取中的对比研究[J].地球学报, 2020, 41(2):309-319.
LI Cangbo, XIAO Keyan, LI Nan, et al.A comparative study of support vector machine, random forest and artificial neural network machine learning algorithms in geochemical anomaly information extraction[J].Acta Geoscientica Sinica, 2020, 41(2):309-319.
[39] GASMI A, GOMEZ C, ZOUARI H, et al.PCA and SVM as geo-computational methods for geological mapping in the southern of Tunisia, using ASTER remote sensing data set[J].Arabian Journal of Geosciences, 2016, 9(20):753.
[40] 张继伟.基于主成分分析的页岩油有利区评价——以仪陇-平昌地区大安寨段为例[J].断块油气田, 2021, 28(1):28-32.
ZHANG Jiwei.Evaluation of favorable areas of shale oil based on principal component analysis:taking Da'anzhai member of Yilong-Pingchang area as an example[J].Fault-Block Oil & Gas Field, 2021, 28(1):28-32.
[41] 苏赋, 马磊, 罗仁泽, 等.基于改进多分类孪生支持向量机的测井岩性识别方法研究与应用[J].地球物理学进展, 2020, 35(1):174-180.
SU Fu, MA Lei, LUO Renze, et al.Research and application of logging lithology identification based on improve multi-class twin support vector machine[J].Progress in Geophysics, 2020, 35(1):174-180.
[42] 陈科贵, 吴刘磊, 陈愿愿, 等.基于支持向量机的川中杂卤石分类识别研究[J].地球科学进展, 2016, 31(10):1041-1046.
CHEN Kegui, WU Liulei, CHEN Yuanyuan, et al.Classification and recognition of polyhalite in Chuanzhong based on support vector machine[J].Advances in Earth Science, 2016, 31(10):1041-1046.
[43] 张劲, 林亮, 魏迎春, 等.柳林区块煤层气水平井煤粉产出特征及影响因素研究[J].中国煤炭地质, 2021, 33(10):11-16.
ZHANG Jin, LIN liang, WEI Yingchun, et al.Study on CBM horizontal well coal fines generation features and impacting factors in Liulin block[J].Coal Geology of China, 2021, 33(10):11-16.
[44] MENG Yanjun, TANG Dazhen, XU Hao, et al.Geological controls and coalbed methane production potential evaluation:a case study in Liulin area, eastern Ordos Basin, China[J].Journal of Natural Gas Science and Engineering, 2014, 21:95-111.
[45] XU Hao, TANG Dazhen, TANG Shuheng, et al.Geologic and hydrological controls on coal reservoir water production in marine coal-bearing strata:a case study of the carboniferous Taiyuan Formation in the Liulin area, eastern Ordos Basin, China[J].Marine and Petroleum Geology, 2015, 59:517-526.
[46] 魏迎春, 王亚东, 张劲, 等.煤层气水平井钻井工程因素对煤粉产出影响的数值模拟——以柳林区块为例[J].矿业科学学报, 2022, 7(6):670-679.
WEI Yingchun, WANG Yadong, ZHANG Jin, et al.Numerical simulation on the effect of drilling engineering factors on coal fines output in coalbed methane horizontal wells:a case study of Liulin block[J].Journal of Mining Science and Technology, 2022, 7(6):670-679.
[47] 魏迎春, 谢天成, 杨亚锋, 等.柳林区块煤层气井煤粉产出影响因素分析[J].中国煤炭地质, 2022, 34(5):1-5.
WEI Yingchun, XIE Tiancheng, YANG Yafeng, et al.Impact factors of coal fines producing from CBM wells in Liulin block[J].Coal Geology of China, 2022, 34(5):1-5.
[48] 陈博, 汤达祯, 张玉攀, 等.韩城矿区H3井组煤体结构测井反演及三维地质建模[J].煤炭科学技术, 2019, 47(7):88-94.
CHEN Bo, TANG Dazhen, ZHANG Yupan, et al.Logging inversion and three-dimensional geological modeling of coal structure in Hancheng H3 well group[J].Coal Science and Technology, 2019, 47(7):88-94.
[49] 姚军朋, 司马立强, 张玉贵.构造煤地球物理测井定量判识研究[J].煤炭学报, 2011, 36(S1):94-98.
YAO Junpeng, SIMA Liqiang, ZHANG Yugui.Quantitative identification of deformed coals by geophysical logging[J].Journal of China Coal Society, 2011, 36(S1):94-98.
[50] 陈跃, 汤达祯, 许浩, 等.应用测井资料识别煤体结构及分层[J].煤田地质与勘探, 2014, 42(1):19-23.
CHEN Yue, TANG Dazhen, XU Hao, et al.Application of logging data in recognition of coal structure and stratification[J].Coal Geology & Exploration, 2014, 42(1):19-23.
[51] HOU Haiha, SHAO Longyi, GUO Shuangqing, et al.Evaluation and genetic analysis of coal structures in deep Jiaozuo coalfield, Northern China:investigation by geophysical logging data[J].Fuel, 2017, 209:552-566.
[52] 郭涛, 王运海.延川南煤层气田2号煤层煤体结构测井评价及控制因素[J].煤田地质与勘探, 2014, 42(3):22-25.
GUO Tao, WANG Yunhai.Evaluation of logging of coal texture of seam 2 in southern Yanchuannan and analysis of its main controlling factors[J].Coal Geology & Exploration, 2014, 42(3):22-25.
[53] HUANG Bo, QIN Yong, ZHANG Wanghong, et al.Identification of the coal structure and prediction of the fracturability in the No.8 coal reservoir, Gujiao block, China[J].Energy Exploration & Exploitation, 2018, 36(2):204-229.
[54] 张俊杰, 赵俊龙.老厂矿区煤体结构测井判识与分布规律[J].地质与勘探, 2019, 55(2):570-578.
ZHANG Junjie, ZHAO Junlong.Logging discrimination of coal structures and their distribution in the Laochang mining area, eastern Yunnan Province[J].Geology and Exploration, 2019, 55(2):570-578.
[55] 苏步新, 张建良, 车晓梅, 等.基于主成分分析的高炉喷吹煤粉性能评价[J].煤炭学报, 2013, 38(12):2234-2240.
SU Buxin, ZHANG Jianliang, CHE Xiaomei, et al.Performance evaluation of pulverized coal injection of blast furnace based on principle component analysis[J].Journal of China Coal Society, 2013, 38(12):2234-2240.
[56] CAO L J, CHUA K S, CHONG W K, et al.A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine[J].Neurocomputing, 2003, 55(1/2):321-336.
[57] ABDOLLAHI S, POURGHASEMI H R, GHANBARIAN G A, et al.Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions[J].Bulletin of Engineering Geology and the Environment, 2019, 78(6):4017-4034.

不同煤体结构煤储层与煤层气井产出煤粉特征的关系——以鄂尔多斯盆地东缘柳林区块为例

Relationship between coal reservoirs with different coal structures and the characteristics of coal fines produced in CBM wells: a case study of Liulin block at the eastern margin of Ordos Basin

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张群, 孙四清, 降文萍. 碎软低渗煤层煤矿区煤层气勘探开发关键技术及发展方向[J]. 石油学报, 2024, 45(5): 855-865.
[2]	侯连华, 米敬奎, 罗霞, 于志超, 林森虎, 廖凤荣, 庞正炼, 赵忠英. 压力对页岩原位加热产出油气特征的影响——以鄂尔多斯盆地三叠系延长组7段3亚段页岩为例[J]. 石油学报, 2024, 45(4): 629-641.
[3]	何永宏, 李桢, 樊建明, 张超, 张旭泽, 马兵. 鄂尔多斯盆地页岩油开发井网优化技术及实践——以庆城油田为例[J]. 石油学报, 2024, 45(4): 683-697.
[4]	郭晨, 李瑞腾, 秦勇, 卢玲玲, 易同生, 陈贞龙, 袁航, 高为, 程曦. 煤层气井产出水演化路径及产量判识意义——以黔西地区织金区块为例[J]. 石油学报, 2024, 45(3): 517-530.
[5]	席胜利, 闫伟, 刘新社, 张才利, 殷亮亮, 董国栋, 井向辉, 魏柳斌. 鄂尔多斯盆地天然气勘探新领域、新类型及资源潜力[J]. 石油学报, 2024, 45(1): 33-51,132.
[6]	宋永, 唐勇, 何文军, 龚德瑜, 晏奇, 陈棡, 单祥, 刘超威, 刘刚, 秦志军, 阿布力米提·依明, 尤新才, 任海姣, 白雨, 高岗. 准噶尔盆地油气勘探新领域、新类型及勘探潜力[J]. 石油学报, 2024, 45(1): 52-68.
[7]	李志军, 肖阳, 田建章, 李晓燕, 王元杰, 王海燕, 焦亚先, 汤小琪, 贾颖超, 任春玲, 严梦颖, 王成云, 任艺. 渤海湾盆地冀中坳陷新领域、新类型油气勘探潜力及有利方向[J]. 石油学报, 2024, 45(1): 69-98.
[8]	牛小兵, 赵伟波, 史云鹤, 胡新友, 杜小伟. 鄂尔多斯盆地本溪组天然气成藏条件及勘探潜力[J]. 石油学报, 2023, 44(8): 1240-1257.
[9]	席胜利, 李明瑞, 赵伟波, 付勋勋, 祖凯, 赵小会, 刘晓鹏, 裴文超, 高星, 周国晓, 陈娟萍. 鄂尔多斯盆地横山大型气田成藏条件及勘探开发关键技术[J]. 石油学报, 2023, 44(6): 1015-1028.
[10]	余浩杰, 王振嘉, 李进步, 朱亚军. 鄂尔多斯盆地长庆气区复杂致密砂岩气藏开发关键技术进展及攻关方向[J]. 石油学报, 2023, 44(4): 698-712.
[11]	李明瑞, 侯云超, 谢先奎, 张忠义, 张晓磊, 罗丽荣, 邵晓州, 薛楠. 鄂尔多斯盆地平凉—演武地区三叠系延长组油气成藏模式及勘探前景[J]. 石油学报, 2023, 44(3): 433-446.
[12]	席胜利, 魏嘉怡, 张才利, 王红伟, 井向辉, 杨亚娟, 刘刚, 李涵, 张艳. 鄂尔多斯盆地海相页岩油勘探发现及意义[J]. 石油学报, 2023, 44(2): 253-269.
[13]	刘显阳, 李士祥, 周新平, 陈修, 刘江艳, 郭芪恒, 魏嘉怡, 廖永乐. 鄂尔多斯盆地石油勘探新领域、新类型及资源潜力[J]. 石油学报, 2023, 44(12): 2070-2090.
[14]	沈华, 杨亮, 韩昊天, 王颖, 邢济麟, 薛松, 刘红超. 松辽盆地南部油气勘探新领域、新类型及资源潜力[J]. 石油学报, 2023, 44(12): 2104-2121.
[15]	刘惠民, 高阳, 秦峰, 杨怀宇. 渤海湾盆地济阳坳陷油气勘探新领域、新类型及资源潜力[J]. 石油学报, 2023, 44(12): 2141-2159.