| Citation: |
GAO Xiangdong，ZHOU Shihao，GUO Hui，et al. Quantitative characterization and influencing factor analysis of coal structure of deep coal reservoirs in Linxing area[J]. Coal Science and Technology，2024，52（10）：147−157. DOI: 10.12438/cst.2024-1647
|
The quantitative characterization of coal structure is one of the hot topics in coal reservoir research. To finely characterize the spatial distribution of coal structure and identify the main controlling factors for its differential distribution, through observation and measurement of coal cores, quantitative characterization of coal structure using geological intensity factors, and statistics of logging response of different coal structures, a quantitative characterization model of coal structure based on logging curves was constructed. The spatial distribution of coal structure was predicted, and the influence characteristics of sedimentation, structure, in-situ stress, and micro-mechanical properties on coal structure were explored. The research results indicate that density, gamma-ray, interval transit time, and caliper loggings are sensitive to the coal structure, and the use of logging multiple regression method can significantly improve the accuracy of coal structure identification. The coals in the study area are mainly composed of primary-fragmented coals, followed by cataclastic coals, with a small amount of primary and cataclastic-granulated coals developed. The coal structure of the entire study area can be divided into four categories and seven small areas. The sedimentary environment can affect the coal structure by controlling the thickness of coal seam development. The thickness of coal seams developed in tidal channels, sand flats, mud flats, delta plains, and lagoon environments gradually increases, but there is no obvious relationship between coal structure and coal seam thickness. However, the ash content is positively correlated with the integrity of coal structure, and studying the changes in ash content in different sedimentary environments is the key to revealing the control characteristics of sedimentary environments on coal structure. The average structural curvature of primary structured coals, primary- fragmented structured coals, and cataclastic coals are 8.4×10−6, 18.7×10−6, 25.7×10−6 m−1, respectively. Where faults develop, the coal structure is characterized by cataclastic coals. As the burial depth increases, the in-situ stress increases, and the integrity of the coal structures are enhanced. Based on this, the in-situ stress state further differentiates the coal structures. In the shallow extensional and compression transition zone, the coal structure is mainly fragmented and fragmented; In the deep compression state, the primary fragmented structure is dominant; The proportion of fractured structures in the deep compression and extension transition zone has increased. The micro mechanical properties of coal are controlled by the composition of coal matrix and micro pore structure. The mechanical strength of inorganic components of coal is higher than that of organic components of coal, and the pore size of inorganic components is smaller than that of organic components. The higher the content of inorganic components, the higher the mechanical strength of coal, and the more complete the coal structure. This research achievement provides reference for coal seam drilling construction, fracturing transformation, and reservoir evaluation.
| [1] |
倪小明,石书灿. 不同煤体结构组合下井径扩径的钻进主控因素[J]. 西南石油大学学报(自然科学版),2011,33(6):135−139,212−213.
NI Xiaoming,SHI Shucan. Main controlling factors about expanding well diameter in the processof drilling in different combined coal structure[J]. Journal of Southwest Petroleum University (Science & Technology Edition),2011,33(6):135−139,212−213.
|
| [2] |
肖翠,陈贞龙,金晓波. 延川南煤层气田煤体结构模式及改造效果分析[J]. 煤炭科学技术,2021,49(11):38−46.
XIAO Cui,CHEN Zhenlong,JIN Xiaobo. Coal structure model and fracturing effect of Yanchuannan coalbed gas field[J]. Coal Science and Technology,2021,49(11):38−46.
|
| [3] |
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. doi: 10.1360/N072016-00178
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]. Scientia Sinica (Terrae),2017,47(1):72−81. doi: 10.1360/N072016-00178
|
| [4] |
胡奇,王生维,张晨,等. 沁南地区煤体结构对煤层气开发的影响[J]. 煤炭科学技术,2014,42(8):65−68,74.
HU Qi,WANG Shengwei,ZHANG Chen,et al. Coal structure affected to coalbed methane development in Qinnan Region[J]. Coal Science and Technology,2014,42(8):65−68,74.
|
| [5] |
王鹏,苏现波,韩颖,等. 煤体结构的定量表征及其意义[J]. 煤矿安全,2014,45(11):12−15.
WANG Peng,SU Xianbo,HAN Ying,et al. Quantitative characterization of coal structure and its significance[J]. Safety in Coal Mines,2014,45(11):12−15.
|
| [6] |
王勇飞,曾焱,卜淘. 利用测井曲线定量识别安泽区块煤体结构[J]. 辽宁工程技术大学学报(自然科学版),2019,38(2):103−111. doi: 10.11956/j.issn.1008-0562.2019.02.002
WANG Yongfei,ZENG Yan,BU Tao. Well logs applied to quantitatively identify coal structure in the Anze area[J]. Journal of Liaoning Technical University (Natural Science),2019,38(2):103−111. doi: 10.11956/j.issn.1008-0562.2019.02.002
|
| [7] |
王远,崔若飞,孙学凯,等. 利用地震反演信息划分煤体结构[J]. 煤田地质与勘探,2011,39(4):69−73,76. doi: 10.3969/j.issn.1001-1986.2011.04.018
WANG Yuan,CUI Ruofei,SUN Xuekai,et al. Utilizing seismic inversion information in classifying coal structures[J]. Coal Geology & Exploration,2011,39(4):69−73,76. doi: 10.3969/j.issn.1001-1986.2011.04.018
|
| [8] |
滕娟. 基于地球物理测井的煤体结构预测:以沁水盆地南部煤储层为例[D]. 北京:中国地质大学(北京),2016.
TENG Juan. Prediction of coal structure based on geophysical logging:a case study of coal reservoir in the south of Qinshui Basin[D]. Beijing:China University of Geosciences,2016.
|
| [9] |
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. doi: 10.3969/j.issn.1001-1986.2014.01.004
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. doi: 10.3969/j.issn.1001-1986.2014.01.004
|
| [10] |
许启鲁,黄文辉,杨延绘,等. 构造煤的测井曲线判识:以柿庄北区块为例[J]. 科学技术与工程,2016,16(3):11−16. doi: 10.3969/j.issn.1671-1815.2016.03.003
XU Qilu,HUANG Wenhui,YANG Yanhui,et al. Analysis of identifying deformed coal by logging curve in Shizhuang north block,Qinshui Basin,China[J]. Science Technology and Engineering,2016,16(3):11−16. doi: 10.3969/j.issn.1671-1815.2016.03.003
|
| [11] |
张超,黄华州,徐德林,等. 基于测井曲线的煤体结构判识[J]. 煤炭科学技术,2017,45(9):47−51.
ZHANG Chao,HUANG Huazhou,XU Delin,et al. Coal structure identified based on logging curve[J]. Coal Science and Technology,2017,45(9):47−51.
|
| [12] |
郭建宏,杜婷,张占松,等. 基于支持向量机与地球物理测井资料的煤体结构识别方法[J]. 物探与化探,2021,45(3):768−777.
GUO Jianhong,DU Ting,ZHANG Zhansong,et al. The coal structure identification method based on support vector machine and geophysical logging data[J]. Geophysical and Geochemical Exploration,2021,45(3):768−777.
|
| [13] |
WANG Z H,CAI Y D,LIU D M,et al. Intelligent classification of coal structure using multinomial logistic regression,random forest and fully connected neural network with multisource geophysical logging data[J]. International Journal of Coal Geology,2023,268:104208. doi: 10.1016/j.coal.2023.104208
|
| [14] |
丁阳阳,赵军龙,李兆明,等. 基于XGBoost算法的煤体结构测井识别技术研究[J]. 地球物理学进展,2022,37(3):998−1006. doi: 10.6038/pg2022FF0435
DING Yangyang,ZHAO Junlong,LI Zhaoming,et al. Research on logging recognition technology of coal structure based on XGBoost algorithm[J]. Progress in Geophysics,2022,37(3):998−1006. doi: 10.6038/pg2022FF0435
|
| [15] |
李俊堂,王如江,高彬,等. 新景煤矿保安区煤体结构特征及测井模型构建[J]. 矿业安全与环保,2022,49(2):72−77.
LI Juntang,WANG Rujiang,GAO Bin,et al. Characteristics of coal structure and construction of well logging model in Baoan block of Xinjing Mine[J]. Mining Safety & Environmental Protection,2022,49(2):72−77.
|
| [16] |
李松林,李忠城,王利娜,等. 寿阳区块高阶煤煤体结构及破裂压力测井解释方法[J]. 煤田地质与勘探,2020,48(6):146−154. doi: 10.3969/j.issn.1001-1986.2020.06.020
LI Songlin,LI Zhongcheng,WANG Lina,et al. High rank coal structure and log interpretation method of fracture pressure in Shouyang block[J]. Coal Geology & Exploration,2020,48(6):146−154. doi: 10.3969/j.issn.1001-1986.2020.06.020
|
| [17] |
李存磊,杨兆彪,孙晗森,等. 多煤层区煤体结构测井解释模型构建[J]. 煤炭学报,2020,45(2):721−730.
LI Cunlei,YANG Zhaobiao,SUN Hansen,et al. Construction of a logging interpretation model for coal structure from multi-coal seams area[J]. Journal of China Coal Society,2020,45(2):721−730.
|
| [18] |
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.
|
| [19] |
刘博远. 祁南矿煤体结构的测井曲线响应特征及其分布规律研究[D]. 徐州:中国矿业大学(徐州),2017.
LIU Boyuan. Response characteristics of logging curve and research of distribution of coal structure in Qinan Mine[D]. Xuzhou: China University of Mining and Technology, 2017.
|
| [20] |
吴伟, 钱程, 杨智, 等. 芦岭煤矿8、10煤层煤体结构成因探讨[J]. 西部探矿工程,2009,21(12):85−87,90.
WU Wei, QIAN Cheng, YANG Zhi, et al. Study on genesis of coal structure of No. 8 &10 coal seams in Luling Mining[J]. West-China Exploration Engineering,2009,21(12):85−87,90.
|
| [21] |
张珺晔. 新疆阜康低阶煤煤体结构及其地质控因分析[D]. 北京:中国地质大学(北京), 2020.
ZHANG Junye. Study on coal structure and its geological factors of low rank coals in the Fukang area, Xinjiang, China[D]. Beijing: China University of Geosciences, 2020.
|
| [22] |
牛小兵,赵伟波,史云鹤,等. 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. doi: 10.7623/syxb202308004
NIU Xiaobing,ZHAO Weibo,SHI Yunhe,et al. Natural gas accumulation conditions and exploration potential of Benxi Formation in Ordos Basin[J]. Acta Petrolei Sinica,2023,44(8):1240−1257. doi: 10.7623/syxb202308004
|
| [23] |
师晶,黄文辉,吕晨航,等. 鄂尔多斯盆地临兴地区上古生界泥岩地球化学特征及地质意义[J]. 石油学报,2018,39(8):876−889. doi: 10.7623/syxb201808004
SHI Jing,HUANG Wenhui,LYU Chenhang,et al. Geochemical characteristics and geological significance of the Upper Paleozoic mudstones from Linxing area in Ordos Basin[J]. Acta Petrolei Sinica,2018,39(8):876−889. doi: 10.7623/syxb201808004
|
| [24] |
蔡益栋,高国森,刘大锰,等. 鄂尔多斯盆地东缘临兴中区煤系气富集地质条件及成藏模式[J]. 天然气工业,2022,42(11):25−36.
CAI Yidong,GAO Guosen,LIU Dameng,et al. Geological conditions for coal measure gas enrichment and accumulation models in Linxingzhong Block along the eastern margin of the Ordos Basin[J]. Natural Gas Industry,2022,42(11):25−36.
|
| [25] |
HOEK E,BROWN E T. Practical estimates of rock mass strength[J]. International Journal of Rock Mechanics and Mining Sciences,1997,34(8):1165−1186. doi: 10.1016/S1365-1609(97)80069-X
|
| [26] |
郭红玉,苏现波,夏大平,等. 煤储层渗透率与地质强度指标的关系研究及意义[J]. 煤炭学报,2010,35(8):1319−1322.
GUO Hongyu,SU Xianbo,XIA Daping,et al. Relationship of the permeability and geological strength index (GSI) of coal reservoir and its significance[J]. Journal of China Coal Society,2010,35(8):1319−1322.
|
| [27] |
高向东,王延斌,倪小明,等. 临兴地区深部煤岩力学性质及其对煤储层压裂的影响[J]. 煤炭学报,2020,45(S2):912−921.
GAO Xiangdong,WANG Yanbin,NI Xiaoming,et al. Mechanical properties of deep coal and rock in Linxing area and its influences on fracturing of deep coal reservoir[J]. Journal of China Coal Society,2020,45(S2):912−921.
|
| [28] |
高向东,王延斌,张崇崇. 钻井中煤体结构特征与井壁稳定性分析研究[J]. 煤炭科学技术,2016,44(5):95−99.
GAO Xiangdong,WANG Yanbin,ZHANG Chongchong. Study and analysis on coal structure features during drilling operation and well wall stability[J]. Coal Science and Technology,2016,44(5):95−99.
|
| [29] |
陶传奇,王延斌,倪小明,等. 基于测井参数的煤体结构预测模型及空间展布规律[J]. 煤炭科学技术,2017,45(2):173−177,196.
TAO Chuanqi,WANG Yanbin,NI Xiaoming,et al. Prediction model of coal-body structure and spatial distibution law based on logging parameters[J]. Coal Science and Technology,2017,45(2):173−177,196.
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: