Main functions of the identification system of fault with seismic data are introduced. In this ystem, the computer technique, fuzzy mathematics' theory, pattern recognition technique, fractal technique and artificial neural network technique are combined and used in seismic data structure terpretation. Utilizing this system, the distribution of minor faults with about 5m throw (other minor structure) in mining areas can be detected in the area of good seismic conditions and accurate geological information can be provided for mining excavation.

The production ability and efficiency for mechanized coal faces of lager-scale mines depend on the detecting degree of mining structures. It is a major task for geological exploration in coalfields to detect minor structures in mining blocks. 3D high resolution seismic prospecting is an effective measure for solving this problem.

介绍了地震属性技术的特点和专业术语，阐述了同相轴属性和数据提属性参数的提取方法。利用实例说明了该技术在识别断层及其它构造、解释煤层厚度变化、预测奥陶系灰岩岩溶裂隙等的具体应用情况。认为在煤田地震勘探中，利用地震属性信息有助于解释人员了解地下构造、地层和岩性特征。

Artificial neural network technique is applied in coal seismic exploration, which has been used to detect faults and to interpret both macrostructures and thickness of coal beds, and has improved the level and precision of seismic data interpretation in coal field.

本文讨论了三种多项式拟合方法在煤田地震勘探中的应用情况。它们可以消除动校拉伸对波形的影响以及普通叠加的低通滤波效应，保持了振幅的真实形态和较高的频率信息，能得到较高分辨率的零炮检距剖面，有利于地震资料的构造解释和岩性研究。