韩城矿区H3井组煤体结构测井反演及三维地质建模
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摘要
为定量判识煤体结构,研究韩城H3井组煤体结构分布特征,在分析钻井取心资料的基础上,结合不同煤体结构煤层测井响应特征的差异,建立了煤体结构指数N和深侧向电阻率与微球聚焦电阻率比值R(LLD/MSFL)双参数判识煤体结构的方法。依据该反演模型完成29口井的煤体结构测井解释,厘清煤体结构纵向分布特征。进一步借助Petrel2015地质建模软件,采用随机建模方法实现了煤体结构空间分布特征的三维可视化。结果表明:在5号煤层中,N<40且R<81为Ⅰ类煤(原生-碎裂煤),N<42且82 This paper is devoted to quantitatively identify coal structure and study the distribution characteristics of coal structure in Hancheng H3 well group. The drilling coring data and the differences of logging response characteristics of coal seams with different coal structure are analyzed. The method of identifying coal structure with dual parameters of coal structure index( N) and ratio of deep lateral resistivity to micro resistivity R( LLD/MSFL) is established. According to the inversion model,and the logging interpretation of coal structure in 29 wells was completed,and the vertical distribution characteristics of coal structure were clarified. Furthermore,the stochastic modeling method is used to realize the three-dimensional visualization of the spatial distribution characteristics of coal structure using the Petrel2015 three-dimensional geological modeling software. The results show that in No.5 coal seam,N<40 and R<81 are ClassⅠcoal( primary-cataclastic coal),N<42 and 82
引文
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[3]张小东,李朋朋,衡帅,等.煤体结构对煤层气吸附-解吸及产出特征的影响[J].煤田地质与勘探,2016,44(4):40-45.ZHANG Xiaodong,LI Pengpeng,HENG Shuai,et al.The influence of coal body structure on adsorption-desorption and releasing characteristics of coalbed methane[J]. Coal Geology&Exploration,2016,44(4):40-45.
[4]刘振明,王延斌,韩文龙,等.基于测井资料的BP神经网络的煤体结构预测[J].中国煤炭,2018,44(6):38-41,55.LIU Zhenming,WANG Yanbin,HAN Wenlong,et al. Prediction of coal structure with BP neuralnet work based on shaft logging data[J].China Coal,2018,44(6):38-41,55.
[5]孟召平,刘珊珊,王保玉,等.晋城矿区煤体结构及其测井响应特征研究[J].煤炭科学技术,2015,43(2):58-63,7.MENG Zhaoping,LIU Shanshan,WANG Baoyu,et al.Study on feature of coal body structure and logging response in Jincheng Mining Area[J].Coal Science and Technology,2015,43(2):58-63,7.
[6]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):179-184,53.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):179-184,53.
[7]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 Liqing,ZHANG Yugui. Quantitative identification of deformed coals by geophysical logging[J]. Journal of China Coal Society,2011,36(S1):94-98.
[8]谢学恒,樊明珠.基于测井响应的煤体结构定量判识方法[J].中国煤层气,2013(5):27-29,33.XIE Xueheng,FAN Mingzhu. Quantitative identificati on of deformed coals based on logging response[J].China Coalbed Methane,2013(5):27-29,33.
[9]马国栋,陈同俊,崔若飞.测井曲线识别构造煤实例研究[J].地球物理学进展,2017,32(3):1208-1216.MA Guodong,CHEN Tongjun,CUI Ruofei.Identificati on of tectonically deformed coal using well logs:a case study[J]. Progress in Geophysics,2017,32(3):1208-1216.
[10] FANCHIJR.Chapter2-Geological Modeling[M]//FANCHIJR.Principles of Applied Reservoir Simulation(Fourth Edition).Gulf Professional Publishing,2018:9-33.
[11] ZU X F,HOU W S,ZHANG B Y,et al.Overview of three-dimensional geological modeling technology[J]. IERI Procedia,2012(2):921-927.
[12]尹欢.三维地质模型的建立[D].荆州:长江大学,2016.
[13] JISKANIIM,SIDDIQUIFI,PATHANAG.Integrated 3D geological modeling of Sonda-Jherruck coal field,Pakistan[J]. Journal of Sustainable Mining,2018,17(3):111-119.
[14]崔剑,要惠芳,刘利宝.韩城地区煤层气有利区优选[J].煤炭技术,2018,37(3):49-51.CUI Jian,YAO Huifang,LIU Libao. Targeting favorable area for coalbed methane in hancheng area[J].Coal Technology,2018,37(3):49-51.
[15]伊伟,熊先钺,卓莹,等.韩城矿区煤储层特征及煤层气资源潜力[J].中国石油勘探,2017,22(6):78-86.YI Wei,XIONG Xianyue,ZHUO Ying,et al. Coal reservoirs and CBM potentials in Hancheng mining area[J]. China Petroleum Exploration,2017,22(6):78-86.
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[17]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.
[18]郑海桥,陈义才.涪陵地区焦石坝构造龙马溪组页岩气地质建模[J].重庆科技学院学报:自然科学版,2016,18(2):5-9.ZHENG Haiqiao CHEN Yiyi. Geological modeling of longmaxi shale gas in Jiaoshiba,Fuling Area[J].Journal of Chongqing University of Science and Technology:Natural Sciences Edition,2016,18(2):5-9.
[19]王焕,冯方,马彩琴,等.亚诺斯盆地DC区块储层井震结合三维地质建模[J].合肥工业大学学报:自然科学版,2017,40(5):673-678.WANG Huan,FENG Fang,MA Caiqin,et al.3D geological modeling with well and seismic data of DC block in Llanos foreland basin[J]. Journal of Hefei University of Technology:Natural Science,2017,40(5):673-678.
[20] LI Song,TANG Dazhen,XU Hao,et al.Advanced characterization of physical properties ofcoals with different coalstructures by nuclear magnetic resonance and X-raycomputed tomography[J].Computers&Geosciences,2012,48:220-227.
[21]叶桢妮,侯恩科,段中会,等.不同煤体结构煤的孔隙-裂隙分形特征及其对渗透性的影响[J].煤田地质与勘探,2019.http://kns.cnki.net/kcms/detail/61.1155. P. 20190403. 1457. 004.html..YE Zhenni,HOU Keen,DUAN Zhonghui,et al.Pores and microfracturesfractal characteristics of coals with different coal body structure and its effect on permeability[J].Coal Geology&Exploration,2019. http://kns. cnki. net/kcms/detail/61. 1155. P.20190403.1457.004.html.
[22] FU X,QIN Y,WANG GGX,et al.Evaluation of coal structure and permeability with the aid of geophysical logging technology[J].Fuel,2009,88(11):2278-2285.