叠后地震多属性分析在煤层裂缝识别中的应用
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摘要
针对山西新元矿煤层中的裂缝发育问题,以地震属性分析理论为指导,研究了相干、曲率、蚂蚁体等单一地震属性、多属性叠合、多属性神经网络运算裂缝概率等在裂缝识别中的应用效果,地震属性的走向确定了裂缝的方位信息,多属性分析圈定了裂缝发育区域。结合邻区已采掘区域揭露的断裂发育情况,表明以相干、曲率和蚂蚁体等叠后多属性对于裂缝的应用识别效果较好。地震多属性分析对于煤层裂缝的识别有着较好的应用价值,可推广至其他煤矿应用。
In order to study the fracture development in Xinyuan coal mine of Shanxi.Guided by the theory of seismic attribute analysis,studied the application result in fracture identification by the coherency,curvature,antbody,multiattribute composite,multi-attribute neural network computing fracture probability.Seismic attributes could determine the fracture azimuth information,and multi-attribute analysis framed the fracture development zone.Combined with the fracture development revealed in the excavated area of the adjacent area,it showed that the post-stack attributes of coherence,curvature and ant body were better for the application of fracture identification.Seismic multi-attribute analysis had a good application value for the identification of coal seam fractures and could be extended to other coal mine applications.
In order to study the fracture development in Xinyuan coal mine of Shanxi.Guided by the theory of seismic attribute analysis,studied the application result in fracture identification by the coherency,curvature,antbody,multiattribute composite,multi-attribute neural network computing fracture probability.Seismic attributes could determine the fracture azimuth information,and multi-attribute analysis framed the fracture development zone.Combined with the fracture development revealed in the excavated area of the adjacent area,it showed that the post-stack attributes of coherence,curvature and ant body were better for the application of fracture identification.Seismic multi-attribute analysis had a good application value for the identification of coal seam fractures and could be extended to other coal mine applications.
引文
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[2] 易俊,姜永东,鲜学福.煤层微孔中甲烷的简化双扩散数学模型[J].煤炭学报,2009,34(3):355-360.Yi Jun,Jiang Yongdong,Xian Xuefu.Predigested diffusion mathematical model of methane in coal micropore[J].Journal of China Coal Society,2009,34(3):355-360.
[3] 刘泽栋,戴俊生,付晓龙,等.沁水盆地柿庄南地区3号煤层裂缝特征研究[J].能源与环保,2017,39(5):11-15.Liu Zedong,Dai Junsheng,Fu Xiaolong,et al.Study on fracture features of No.3 coal seam in southern Shizhuang area of Qinshui Basin[J].China Energy and Environmental Protection,2017,39(5):11-15.
[4] 安士凯,桑树勋,李仰民,等.沁水盆地南部高煤级煤储层孔隙分形特征[J].中国煤炭地质,2011,23(2):17-21.An Shikai,Sang Shuxun,Li Yangmin,et al.Study on pore fractal characteristics of high-rank coal reservoirs in Southern Qinshui Basin[J].Coal Geology of China,2011,23(2):17-21.
[5] 刘振峰,曲寿利,孙建国,等.地震裂缝预测技术研究进展[J].石油物探,2012,51(2):191-198.Liu Zhenfeng,Qu Shouli,Sun Jianguo,et al.Research progress of seismic fracture prediction technology[J].Geophysical Prospecting for Petroleum,2012,51(2):191-198.
[6] 王飞,程礼军,刘俊峰,等.叠后地震属性识别页岩气储层裂缝研究及应用[J].煤田地质与勘探,2015,43(5):113-116.Wang Fei,Cheng Lijun,Liu Junfeng,et al.Research and application of post-stack seismic attributes in recognizing shale gas reservoir fracture[J].Coal Geology & Exploration,2015,43(5):113-116.
[7] 罗振丽,张爱敏,丁在宇.相干体技术和图像处理技术在检测断层中的应用[J].中国煤炭地质,2004,16(3):48-50.Luo Zhenli,Zhang Aimin,Ding Zaiyu.Application of coherence cube technology and image processing technology in fault detection[J].Coal Geology of Chian,2004,16(3):48-50.
[8] 白瑜,张广忠,李刚,等.基于分水岭算法的地震属性异常体边缘检测技术[J].中州煤炭,2015(9):97-100.Bai Yu,Zhang Guangzhong,Li Gang,et al.Edge detection technology of abnormal seismic attribute body based on watershed algorithm[J].Zhongzhou Coal,2015(9):97-100.
[9] 杜文凤,彭苏萍,黎咸威.基于地震层曲率属性预测煤层裂隙[J].煤炭学报,2006,31(S1):30-33.Du Wenfeng,Peng Suping,Li Xianwei.Seismic horizon curvature attribute for predicting coal seam fracture[J].Journal of China Coal Society,2006,31(S1):30-33.
[10] 盛新丽.基于三维地震曲率的小断裂识别方法[J].中国煤炭地质,2018,30(S1):109-112,117.Sheng Xinli.Minor fault identification based on 3D seismic curvature[J].Coal Geology of China,2018,30(S1):109-112,117.
[11] 杨瑞召,李洋,庞海玲,等.产状控制蚂蚁体预测微裂缝技术及其应用[J].煤田地质与勘探,2013,41(2):72-75.Yang Ruizhao,Li Yang,Pang Hailing,et al.Prediction technology of micro fractures by occurrence-controlled antbody and its application[J].Coal Geology & Exploration,2013,41(2):72-75.
[12] 常益行.地震属性技术在煤田断层识别中的应用[J].中国煤炭地质,2015,27(2):57-61.Chang Yixing.Application of seismic attribute technology in coalfield fault identification[J].Coal Geology of China,2015,27(2):57-61.
[13] 仲伟军,姚卫江,贾春明,等.地震多属性断裂识别技术在中拐凸起石炭系中的应用[J].石油地球物理勘探,2017,52(S2):135-139.Zhong Weijun,Yao Weijiang,Jia Chunming,et al.Application of seismic multi-attribute fault identification technology in the carboniferous system of zhongguai uplift[J].Oil Geophysical Prospecting,2017,52(S2):135-139.
[14] 赵小辉,于宝利,曹小璐.属性融合技术在微小断裂识别中的应用[J].石油地球物理勘探,2017,52(S2):164-169.Zhao Xiaohui,Yu Baoli,Cao Xiaolu.Minor fault identification with seismic multi-attribute fusion[J].Oil Geophysical Prospecting,2017,52(S2):164-169.
[15] 巫盛洪,邹文,唐洪发,等.GeoMountain解释工程师系统中相干体软件的开发及应用[J].天然气工业,2009,29(7):23-25.Wu Shenghong,Zhou Wen,Tang Hongfa,et al.Software development and application of coherent body in GeoMountain[J].Natural Gas Industry,2009,29(7):23-25.