基于地震反演方法的太原组灰岩含水性预测  

Prediction of taiyuan group limestone's water-bearing property based on the seismic inversion method

作　　者：张明川[1,2] 杨文强[2] 崔若飞[1,2] 

机构地区：[1]煤层气资源与成藏过程教育部重点实验室,徐州221116 [2]中国矿业大学资源与地球科学学院,徐州221116

出　　处：《地球物理学进展》2016年第3期1289-1294,共6页Progress in Geophysics

基　　金：国家自然科学基金资助项目(u1261202;41430643)资助

摘　　要：阳泉煤业集团五矿赵家分区水文地质条件复杂,太原组K2灰岩是15煤层上部的主要含水层.由于煤系地层构造复杂,陷落柱比较发育,因此查明K2灰岩的空间展布和含水性,对于深部15煤层的安全开采具有重要意义.电磁勘探方法由于存在体积效应,很难准确预测K2灰岩的空间展布和含水性.与正常灰岩相比,含水灰岩的波阻抗与视电阻率较小,且孔隙度较大.鉴于此,首先利用多参数岩性反演方法,获得K2灰岩的波阻抗信息;然后利用概率神经网络反演方法,获得K2灰岩的孔隙度和视电阻率信息;最后综合波阻抗、孔隙度和视电阻率三种岩性信息,对K2灰岩进行了含水性评价,为煤矿防治水提供了重要的水文地质依据.The hydrogeology condition of Yangmei minmetals zhaojia partition is very complicated,K2 limestone of Taiyuan group is aquifer in the upper coal seam. Because of the structure of coal measures is complex,and collapse columns are developed,finding out the spatial distribution and water-bearing property of limestone is very important for the safety of deep coal mining. Because of volume effect,electromagnetic prospecting method is difficult to predict the spatial distribution and water-bearing property of K2 limestone.Compared with normal limestone, water-bearing limestone has smaller pseudo-impedance and the apparent resistivity, larger porosity. In view of this,use multi-parameter lithology inversion get K2 limestone ＇s impedance; second, use probabilistic neural network inversion get K2 limestone ＇s porosity and apparent resistivity; finally synthesize three kinds of lithological information：impedance, porosity and apparent resistivity, evaluate the K2 limestone ＇ s water-bearing property, provides important hydrogeological basis for the prevention and control of mine water.

关 键 词：多参数岩性反演 概率神经网络反演 灰岩 含水性 

分 类 号：P631[天文地球—地质矿产勘探]