摘要
依托山西晋煤集团赵庄矿三维地震勘探项目进行三维地震属性分析解释技术的应用研究,对其关键技术进行了重点描述,并应用多种属性联合解释方式与三维可视化技术、三维地质建模技术相结合,对小的断层和陷落柱等进行了解释。同时,选取多种属性作为BP神经网络预测模型的基本参数,预测了煤层的厚度。通过对比目前煤田三维地震勘探中通行的常规资料处理解释和属性分析解释两种方法的效果,认为属性分析解释更加精细,成果更加可靠。
Depend on 3D seismic attribute analysis interpretation technology applied research in the Zhaozhuang coalmine,Shanxi Jincheng Coal Group,emphatically described its key techniques,interpreted minor faults and subsided columns through multiple attribute combination interpretation mode and combined 3D visualization and 3D geological modeling technologies.Meanwhile,multiple attributes selected as basic parameters for BP neural network prediction model and predicted coal seam thicknesses.Through effect contrast of two methods of conventional data processing interpretation and attribute analysis interpretation in coalfield 3D seismic prospecting at present,considered that the attribute analysis interpretation is more meticulous and reliable.
出处
《中国煤炭地质》
2010年第8期29-34,共6页
Coal Geology of China
关键词
高精度三维地震
属性分析解释技术
常规资料处理解释
high precision seismic prospecting
attribute analysis interpretation technology
conventional data processing interpretation
