多参数岩性地震反演在识别煤层顶板砂岩中的应用——以新景煤矿为例
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
山西国阳新能股份有限公司新景煤矿3煤层在掘进和回采过程中,频发煤与瓦斯突出事故,给煤矿安全生产带来隐患.通过多个采区的瓦斯地质调查,发现大部分区域的瓦斯突出与煤层的顶板岩性(砂岩)和煤层结构(煤层的冲刷变薄)密切相关,当3煤层被顶板砂岩冲刷变薄,即3煤层顶板砂岩的厚度增加时,极易发生瓦斯突出.本文对研究区的测井曲线进行特征分析,并对测井曲线进行融合处理,利用多参数岩性反演的方法获得的波阻抗数据体可以对3煤层顶板砂岩的分布特征进行详细研究.反演结果与实际情况吻合度较高,且在瓦斯突出点位置,煤层顶板的波阻抗值明显增大,并能够清晰地辨别砂岩的位置和空间形态,其研究成果对新景煤矿瓦斯预测和治理具有重要意义.
Gas outburst occasions often happen in coalbed No.3 during the process of tunneling and extraction of Xinjing coalmine,Guo Yang New Energy Incorporated Company,bringing potential safety risk to mining exploit.According to the researches of gas geological principles from different mining districts,it seems very common that the gas problem is closely related to the coalbed roof lithology,sandstone and coal body structures,washed and destructed by the sandstone.In other words,the thicker the roof sandstone is,the thinner the coal is,and the more potential of the phenomenon of coal washing by the roof sandstone,which increases the possibility of gas outburst.Using seismic inversion to deeply detect the lithological change is one of the best options,which combines seismic data and log curve to improve the resolution of the earth underground.Usually,density and P-wave are considered when it comes to conventional impedance inversion,which has no effective impact when the density or P-wave has no great changes between the target layer and the other lithology.In this paper,well log curves in this area have been analyzed,in order to integrate these anomalies from two different curves into one curve that has both characteristics that reflect sandstone and coal at the same time,which considers multiple parameters of the target layer in order to identify it from other lithology.Using this integrated curve,multi-parameter lithological seismic inversion method has been applied to achieving the impedance data,which can be utilized to identify the spatial structure and lithological range of the roof sandstone.With this method applied to a real mining district of Xinjing Coalmine,the inverted results are highly consistent with actual well data,which indicates that the method is effective and efficient which is of great value in gas prediction and management.
引文
[1]何满潮,谢和平,彭苏萍,等.深部开采岩体力学研究[J].岩石力学与工程学报,2005,24(16):2803-2811.He M C,Xie H P,Peng S P,et al.Study on rock mechanicsin deep mining engineering[J].Chinese Journal of RockMechanics and Engineering(in Chinese),2005,24(16):2803-2811.
    [2]崔若飞,孙学凯,崔大尉.基于地震反演方法的奥陶系顶部含隔水层探测[J].岩石力学与工程学报,2009,28(2):319-323.Cui R F,Sun X K,Cui D W.Detection of water-resistinglayer in upper Ordovician system based on seismic inversionmethod[J].Chinese Journal of Rock Mechanics andEngineering(in Chinese),2009,28(2):319-323.
    [3]王薇,韩波,唐锦萍.地震波形反演的稀疏约束正则化方法[J].地球物理学报,2013,56(1):289-297.Wang W,Han B,Tang J P.Regularization method withsparsity constraints for seismic waveform inversion[J].Chinese J.Geophys.(in Chinese),2013,56(1):289-297.
    [4]张静,王彦春,赵凡,等.多参数联合反演预测致密含气砂岩[J].天然气地球科学,2008,19(6):864-869.Zhang J,Wang Y C,Zhao F,et al.Multi-parameters jointinversion technology predicts gas-bearing tight sandstone[J].Natural Gas Geoscience(in Chinese),2008,19(6):864-869.
    [5]芦俊,王赟,赵伟.应用三分量地震数据反演煤系地层孔隙含水量[J].地球物理学报,2010,53(7):1734-1740.Lu J,Wang Y,Zhao W.Quantitative prediction of watercontent in porosity in coal measure strata using three-component seismic data[J].Chinese J.Geophys.(inChinese),2010,53(7):1734-1740.
    [6]闫建平,蔡进功,赵铭海,等.测井曲线融合方法研究及其在分层中的应用[J].西安石油大学学报(自然科学版),2008,23(6):6-10.Yan J P,Cai J G,Zhao M H,et al.Study on integration ofmultiple logging curves and its application in geologicalstratification[J].Journal of Xian Shiyou University(NaturalScience Edition)(in Chinese),2008,23(6):6-10.
    [7]沈永进,沈建国,韩庆邦,等.低渗砂泥岩地层的声波测井波形特征[J].地球物理学进展,2012,27(2):809-816.Shen Y J,Shen J G,Han Q B,et al.Features of waveformsof acoustic logging in the low permeability sandstone formation[J].Progress in Geophysics(in Chinese),2012,27(2):809-816.
    [8]武岳,蒲仁海,郭向东,等.等速型砂泥岩区自然伽马反演可信度探讨[J].地质科技情报,2011,30(5):132-138.Wu Y,Pu R H,Guo X D,et al.A reliability of GR inversiontechnique performanced in Iso-velocity sandstone and shalereservoir:An example of well YQ2in 3Dsurvery area[J].Geological Science and Technology Information(in Chinese),2011,30(5):132-138.
    [9]秦轲,崔若飞,张少青,等.利用地震P波方位属性评价瓦斯富集区[J].地球物理学进展,2012,27(4):1687-1692.Qin K,Cui R F,Zhang S Q,et al.Locating the distributionof gas enriched area using seismic P-wave Azimuth Attributes[J].Progress in Geophysics(in Chinese),2012,27(4):1687-1692.
    [10]左博新,胡祥云,韩波.基于褶积模型的地球物理反演模型增强[J].地球物理学报,2012,55(12):4058-4068.Zuo B X,Hu X Y,Han B.The geophysical modelenhancement based on the convolution model[J].Chinese J.Geophys.(in Chinese),2012,55(12):4058-4068.
    [11]刘福平,孟宪军,王玉梅,等.基于Zoeppritz偏导方程精确解的地层密度多角度反演[J].地球物理学报,2012,55(1):252-259.Liu F P,Meng X J,Wang Y M,et al.Multi-angle inversionof formation densities based on the accurate solutions ofZoeppritzs partial derivative equations[J].Chinese J.Geophys.(in Chinese),2012,55(1):252-259.
    [12]万应明,高峻,董建平,等.多测井曲线合成应用方法初探[J].石油物探,2005,44(1):71-75.Wan Y M,Gao J,Dong J P,et al.The primary discussion tothe application of synthetic multiple-logging[J].GeophysicalProspecting for Petroleum(in Chinese),2005,44(1):71-75.
    [13]李健,刘特阶,戴民,等.辽河油田薄层砂体的预测与追踪[J].地球物理学进展,2010,25(1):56-62.Li J,Liu T J,Dai M,et al.Predicting and tracing of the thinsand bodies in the Liaohe oilfield[J].Progress in Geophysics(in Chinese),2010,25(1):56-62.
    [14]杨锴,艾迪飞,耿建华.测井、井间地震与地面地震数据联合约束下的地质统计学随机建模方法研究[J].地球物理学报,2012,55(8):2695-2704.Yang K,Ai D F,Geng J H.A new geostatistical inversionand reservoir modeling technique constrained by well-log,crosshole and surface seismic data[J].Chinese J.Geophys.(in Chinese),2012,55(8):2695-2704.
    [15]周水生,宜伟,郝召兵.基于叠前反演的流体敏感属性实验研究及应用[J].地球物理学报,2012,55(6):1985-1992.Zhou S S,Yi W,Hao Z B.Experiment research andapplication of fluid sensitive attributes based on the pre-stackinversion[J].Chinese J.Geophys.(in Chinese),2012,55(6):1985-1992.
    [16]王赟,许小凯,张玉贵.六种不同变质程度煤的纵横波速度特征及其与密度的关系[J].地球物理学报,2012,55(11):3754-3761.Wang Y,Xu X K,Zhang Y G.Characteristics of P-wave andS-wave velocities and their relationships with density of sixmetamorphic kinds of coals[J].Chinese J.Geophys.(inChinese),2012,55(11):3754-3761.
    [17]芦俊,王赟,石瑛.利用多波地震与测井数据联合反演预测煤岩的坚固性[J].地球物理学报,2011,54(11):2967-2972.Lu J,Wang Y,Shi Y.Coal hardness prediction using jointinversion of multi-wave seismic data and logging[J].ChineseJ.Geophys.(in Chinese),2011,54(11):2967-2972.
    [18]Hampson D P,Schuelke J S,Quirein J A.Use of multiattributetransforms to predict log properties from seismic data[J].Geophysics,2001,66(1):220-236.
    [19]Lindseth R O.Synthetic Sonic Logs-aprocess for stratigraphicinterpretation[J].Geophysics,1979,44(1):3-26.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心