Volume 48 Issue 5
Oct.  2020
Turn off MathJax
Article Contents
Abstract
References
CHEN Bo, TANG Dazhen, LIN Wenji, LI Song, ZHONG Guanghao, ZHU Xueguang. Geological modeling-based productivity response characteristics of the CBM well in Baode unitⅠ[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(5): 53-63. DOI: 10.3969/j.issn.1001-1986.2020.05.007
Citation: CHEN Bo, TANG Dazhen, LIN Wenji, LI Song, ZHONG Guanghao, ZHU Xueguang. Geological modeling-based productivity response characteristics of the CBM well in Baode unitⅠ[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(5): 53-63. DOI: 10.3969/j.issn.1001-1986.2020.05.007
shu

Geological modeling-based productivity response characteristics of the CBM well in Baode unitⅠ

  • 1. School of Energy Resource, China University of Geosciences(Beijing), Beijing 100083, China;

  • 2. Coal Reservoir Laboratory of National Engineering Research Center of CBM Development&Utilization, China University of Geosciences(Beijing), Beijing 100083, China;

  • 3. China United Coalbed Methane National Engineering Research Center Co. Ltd., Beijing 100095, China

Funds: 

Key Program of National Natural Science Foundation of China(41530314,41802180)

More Information
  • Received Date: January 08, 2020
  • Revised Date: August 26, 2020
  • Published Date: October 24, 2020
    Graphical Abstract
    • Abstract
  • Coalbed methane resource conditions and reservoir physical conditions are the basis of CBM exploration and exploitation. The geological modeling of CBM reservoir was carried out to clarify the spatial distribution of coal reservoir, and explain the difference of single well productivity, which can provide theoretical basis for selection and well drilling. This paper took Baode unit I as research object. Based on the measured data of gas content and well test permeability, the inversion model of gas content and permeability in the study area was established by using support vector machine algorithm(SVM) and transformed F-S permeability calculation formula, and the gas content and permeability logging interpretation of 162 CBM wells were completed. Furthermore, the modeling of gas content and permeability were established by using stochastic modeling method. The modeling results show that the gas content of coal seam 4+5 was 2.0-5.2 m3/t, averaging 3.3 m3/t, the gas content of coal seam 8+9 was 2.4-9.2 m3/t, averaging 5.1 m3/t; the permeability of coal seam 4+5 was (0.8-9.8)×10-3 μm2, averaging 6.1×10-3 μm2, the permeability of coal seam 8+9 was (2.8-11)×10-3 μm2, averaging 7.3×10-3 μm2. In general, it is a CBM development unit with low gas content, high permeability. Planar distribution characteristics of equivalent gas content, resource abundance, and adsorption saturation of coal reservoir in study area were analyzed based on the established geological model. Then, the geological conditions of two typical wells(B1-X1 and B1-X2) were compared and analyzed, the results show that the parameters of well B1-X1 were better than those of well B1-X2. From the cross-well section and the production curve, it can be seen that the productivity difference between two wells mainly includes two aspects: one is resource condition, the gas content and resource abundance of well B1-X1 are better than those of well B1-X2, and the low adsorption saturation in well B1-X2 makes gas desorption more difficult. On the other hand, it is reservoir physical conditions. The permeability of well B1-X1 is better than that of well B1-X2, which is beneficial to the seepage of coalbed methane and forms a high yield. Among them, the difference in permeability is a key parameter that affects CBM exploitation, and CBM resource abundance and adsorption saturation are important factors for evaluating CBM wells to maintain high and long-term stable production.
    • FullText(HTML)
    • References (31)
  • [1]
    LIU Yanfei,TANG Dazhen,LI Song,et al. Productivity subarea of CBM field and its key controlling factors:A case study in the Hancheng pilot test area,southeastern Ordos basin,China[J]. Energy Exploration & Exploitation,2019(1):102-124.
    [2]
    王绪性,王杏尊,郭布民,等. 鄂尔多斯盆地东部深部煤层气井压裂工艺及实践[J]. 煤田地质与勘探,2019,47(1):92-95.

    WANG Xuxing,WANG Xingzun,GUO Bumin. et al. Technology and practice for deep CBM fracturing in eastern Ordos basin[J]. Coal Geology & Exploration,2019,47(1):92-95.
    [3]
    付玉通,桑树勋,崔彬,等. 延川南区块深部煤层气U型分段压裂水平井地质适用性研究[J]. 煤田地质与勘探,2018,46(5):146-152.

    FU Yutong,SANG Shuxun,CUI Bin,et al. Geological adaptability of deep CBM U-shaped staged fracturing horizontal well in the south block of Yanchuan[J]. Coal Geology & Exploration,2018,46(5):146-152.
    [4]
    陶树,汤达祯,许浩,等. 沁南煤层气井产能影响因素分析及开发建议[J]. 煤炭学报,2011,36(2):194-198.

    TAO Shu,TANG Dazhen,XU Hao,et al. Analysis on influence factors of coalbed methane wells productivity and development proposals in southern Qinshui basin[J]. Journal of China Coal Society,2011,36(2):194-198.
    [5]
    原俊红,曹丽文,付玉通. 延川南地区深部煤层气U型水平井压裂参数优化设计[J]. 煤田地质与勘探,2018,46(5):175-181.

    YUAN Junhong,CAO Liwen,FU Yutong. Optimal design of the parameters of U-shaped horizontal well for deep coalbed methane in southern Yanchuan[J]. Coal Geology & Exploration,2018,46(5):175-181.
    [6]
    ZHAO Junlong,TANG Dazhen,XU Hao,et al. High production indexes and the key factors in coalbed methane production:A case in the Hancheng block,southeastern Ordos basin,China[J]. Journal of Petroleum Science and Engineering,2015,130:55-67.
    [7]
    赵欣. 煤层气产能主控因素及开发动态特征研究[D]. 北京:中国矿业大学(北京),2017.

    ZHAO Xin. The study of main influence factors on productivity of coalbed methane well and the development performance[D]. Beijing:China University of Mining and Technology(Beijing),2017.
    [8]
    彭龙仕,乔兰,龚敏,等. 煤层气井多层合采产能影响因素[J]. 煤炭学报,2014,39(10):2060-2067.

    PENG Longshi,QIAO Lan,GONG Min,et al. Factors affecting the production performance of coalbed methane wells with multiple-zone[J]. Journal of China Coal Society,2014,39(10):2060-2067.
    [9]
    ZU Xiaofang,HOU Weisheng,ZHANG Baoyi,et al. Overview of three-dimensional geological modeling technology[J]. IERI Procedia,2012,2:921-927.
    [10]
    FALIVENE O,CABRERA L,SÁEZ A. Forecasting coal resources and reserves in heterogeneous coal zones using 3D facies models(As Pontes basin,NW Spain)[J]. International Journal of Coal Geology,2014,130:8-26.
    [11]
    尹欢. 三维地质模型的建立-以青西凹陷窟窿山地区为例[D]. 武汉:长江大学,2016. YIN Huan. Three-dimensional gaological model in Kulong area,Qingxi sag[D]. Wuhan:Yangtze University,2016.
    [12]
    JISKANI I M, SIDDIQUI F I, PATHAN A G. Integrated 3D geological modeling of Sonda-Jherruck coal field,Pakistan[J]. Journal of Sustainable Mining,2018,17(3):111-119.
    [13]
    黄承义,苏培东,王十铺,等. 保德区块B1井区局部构造对压裂施工及排采的影响分析[J]. 煤矿安全,2018,49(11):1-5.

    HUANG Chengyi,SU Peidong,WANG Shipu,et al. Influence analysis of local structure of B1 well block on fracturing operation and CBM drainage in Baode area[J]. Safety in Coal Mines,2018,49(11):1-5.
    [14]
    安世岗,吴联君,向军文. 山西保德中低阶煤层气地质特征[J]. 能源与环保,2018,40(3):60-65.

    AN Shigang,WU Lianjun,XIANG Junwen. Geological characteristics of middle and low rank coalbed methane in Baode County of Shanxi Province[J]. China Energy and Environmental Protection,2018,40(3):60-65.
    [15]
    田文广,汤达祯,王志丽,等. 鄂尔多斯盆地东北缘保德地区煤层气成因[J]. 高校地质学报,2012,18(3):479-484.

    TIAN Wenguang,TANG Dazhen,WANG Zhili,et al. Origin of coalbed methane in Baode,northeastern Ordos basin[J]. Geological Journal of China Universities,2012,18(3):479-484.
    [16]
    淮银超,张铭,杨龙伟,等. 基于相控的煤层气藏三维地质建模[J]. 地球科学与环境学报,2017,39(2):275-285.

    HUAI Yinchao,ZHANG Ming,YANG Longwei,et al. Facies-controlled three-dimensional geological modeling for coalbed methane reservoir[J]. Journal of Earth Sciences and Environment,2017,39(2):275-285.
    [17]
    刘玲. 鄂尔多斯盆地姬塬油田罗1井区长81储层地质建模研究[D]. 北京:中国地质大学(北京),2010. LIU Ling. The study of geological modeling of Chang-81 reservoir in Luo 1 area,Jiyuan oilfield,Ordos basin[D]. Beijing:China University of Geosciences(Beijing),2010.
    [18]
    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.
    [19]
    吴涛,付斌. 多点地质统计学在苏里格气田地质建模的应用[J]. 地质与勘探,2016,52(5):985-991 WU Tao,FU Bin. Application of muliple-point method to geological modeling in the Sulige gas field[J]. Geology and Exploration,2016,52(5):985-991.
    [20]
    LI Feng,WANG Wenhe,XU Jiang,et al. Comparative study on vulnerability assessment for urban buried gas pipeline network based on SVM and ANN methods[J]. Process Safety and Environmental Protection,2019,122:23-32.
    [21]
    SHI Bibo,LIU Jundong. Nonlinear metric learning for kNN and SVMs through geometric transformations[J]. Neurocomputing,2018,318:18-29.
    [22]
    关文政. 基于支持向量机的煤储层参数测井评价方法研究[D]. 武汉:长江大学,2016.

    GUAN Wenzheng. Study on methods of parameters analysis of coalbed mathane by SVM with logging data[D]. Wuhan:Yangtze University,2016.
    [23]
    姚海鹏,吕伟波,王凯峰,等. 巨厚低阶煤煤层气储层关键成藏地质要素及评价方法:以二连盆地巴彦花凹陷为例[J]. 煤田地质与勘探,2020,48(1):85-95.

    YAO Haipeng,LYU Weibo,WANG Kaifeng,et al. Key geological factors and evaluation methods for huge low-rank coalbed methane reservoirs:Taking Bayanhua depression in Erlian basin as an example[J]. Coal Geology & Exploration,2020,48(1):85-95.
    [24]
    LI Junqian,LIU Dameng,YAO Yanbin,et al. Evaluation of the reservoir permeability of anthracite coals by geophysical logging data[J]. International Journal of Coal Geology,2011,87(2):121-127.
    [25]
    TAO Shu,PAN Zhejun,CHEN Shida,et al. Coal seam porosity and fracture heterogeneity of marcolithotypes in the Fanzhuang block,southern Qinshui basin,China[J]. Journal of Natural Gas Science and Engineering,2019,66:148-158.
    [26]
    LI Song,TANG Dazhen,PAN Zhejun,et al. Characterization of the stress sensitivity of pores for different rank coals by nuclear magnetic resonance[J]. Fuel,2013,111:746-754.
    [27]
    黄兆辉. 高阶煤层气储层测井评价方法及其关键问题研究[D]. 北京:中国地质大学(北京),2014.

    HUANG Zhaohui. Research on log evaluation of high rank coalbed mathane reservoirs and some key issues[D]. Beijing:China University of Geosciences(Beijing),2014.
    [28]
    许小凯. 煤层气直井排采中煤储层应力敏感性及其压降传播规律[D]. 北京:中国矿业大学(北京),2016.

    XU Xiaokai. Stress sensitivity and pressure drop propagation law of coal reservoir during drainage process of CBM vertical well[D]. Beijing:China University of Mining and Technology(Beijing),2016.
    [29]
    陈云涛. 胡底区块煤储层条件对煤层气井产能影响分析[J]. 中国煤层气,2018,15(4):14-17.

    CHEN Yuntao. Influence analysis of coal reservoir conditions on CBM well's productivity in Hudi block[J]. China Coalbed Methane,2018,15(4):14-17.
    [30]
    侯俊胜. 煤层气储层测井评价方法及其应用[M]. 北京:冶金工业出版社,2010.

    HOU Junsheng. Logging evaluation method of CBM reservoir and its application[M]. Beijing:Metallurgical Industry Press,2010.
    [31]
    LIU Longlong,ZHANG Jinliang,SUN Zhongqiang,et al. Constraints of three-dimensional geological modeling on reservoir connectivity:A case study of the Huizhou depression,Pearl River Mouth basin,South China Sea[J]. Journal of Asian Earth Sciences,2019,171:144-161.
    • Related Articles

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views PDF downloads Cited by()
    Related

    Copyright of website design © Editorial Office of Coal Geology & Exploration 陕ICP备05001372号-6 陕公网安备 61019002002193号

    Address: Editorial Office of Coal Geology & Exploration, No.82 Jinye 1st Rd, High-Tech Zone, Xi'an City, Shaanxi, China

    Tel: 029-81778075 E-mail: ccrimtdzykt@vip.163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return