基于地震资料的小断裂检测技术  

Minor Fracture Detection Technology Based on Seismic Data

作　　者：曹思远[1] 刘兰锋[2] 陈为琳[3] 

机构地区：[1]中国石油大学(北京)CNPC地球物理重点实验室,北京102249 [2]美国休斯敦大学岩石物理实验室,德克萨斯77204 [3]中国煤炭地质总局物探研究院,河北涿州072750

出　　处：《中国煤炭地质》2010年第8期5-8,28,共5页Coal Geology of China

摘　　要：煤矿安全生产的形势越来越严峻,查明煤层的构造发育情况,特别是小断层及微断裂的发育情况,是目前煤炭工业迫待解决的一大难题。根据煤田中小断层和断面波的特征,有针对性的提出了小断层高分辨率时频谱处理识别技术和基于断面波特征的微断裂识别方法,模型试验和实际地震资料的应用表明,该方法能够充分挖掘地震资料的有效信息,较好的识别出煤田中的小断层和微断裂。The situation of safety in coalmine production is increasingly severe;to identify coal seam structure development,especially minor fault and microfracture development are nodi need to be solved urgently in coal industry at present.Based on characteristics of coalfield medium and minor faults and waves from fault surface,purposefully bring forward minor fault high resolution time-frequency spectrum processing recognition technology and microfracture recognition method based on characteristics of waves from fault surface.Model tests and applications of practical seismic data have demonstrated that the method can fully dig out valid information in seismic data,and identify minor faults and microfractures in coalfields preferably.

关 键 词：高分辨率地震勘探 时频谱处理技术 微断裂识别方法 

分 类 号：P631.4[天文地球—地质矿产勘探]