节点文献

利用地质统计学预测煤层厚度

COALSEAM THICKNESS PREDICTION WITH GEOSTATISTICS

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 杜文凤彭苏萍

【Author】 DU Wenfeng,PENG Suping (State Key Laboratory of Coal Resources and Safe Mining,China University of Mining and Technology,Beijing 100083,China)

【机构】 中国矿业大学煤炭资源与安全开采国家重点实验室

【摘要】 煤层厚度是煤矿设计与开采必不可少的数据,准确地预测煤层厚度,不仅能给煤矿提供有力的地质保障,而且还能给煤矿带来巨大的经济效益。煤层厚度预测可根据已知钻井煤层厚度数据通过拟合或回归分析方法来计算,但由于钻孔数据量有限,因此,所预测出的煤层厚度在孔间与外推区域存在较大误差。三维地震资料在横向上具有良好的连续性,若能将稀疏的钻井数据和密集的地震数据有机的结合起来,将有助于提高井间和外推区域煤层厚度的预测精度。协克里金是地质统计学中的一种二元、无偏、最优插值方法,是以区域化变量理论为基础,以变差函数为基本工具。钻井煤层厚度和地震振幅属性在空间上既存在一定的分布规律,又存在局部的随机性,因此可将钻井煤层厚度和地震振幅作为区域化变量,用变差函数进行模拟,预测出的煤层厚度,既可反映钻井数据煤层厚度的变化规律,又可体现出地震数据的变化趋势。利用研究区巷道揭露的见煤点实测煤层厚度数据,对协克里金法预测煤层厚度进行检验,结果发现煤层厚度预测误差大大降低,精度得到明显提高。这种煤层厚度预测方法特别适合在开展过三维地震勘探的煤矿使用。

【Abstract】 Coalseam thickness is necessary data for coalmine design and mining.The correct predication result of coalseam thickness not only can provide good geology guarantee for coalmine,but also can bring great economic benefits.Coalseam predicting can be calculated using fitting or regression analysis method according to the known borehole coalseam thickness,but because of the limitation of borehole data amount,there are large errors existenting in predicting thickness between the wells or wells outside area.Seismic data have a good continuity in the transverse,if sparse borehole data could be combined with dense seismic data,it is helpful to increasing the thickness predicting precision between the wells or wells extrapolating zone.Cokriging method is a dualistic,unbiased and optimal interpolation method in geostatistics,and based on regional variables theory and variogram basic tool.Borehole coalseam thickness and seismic amplitude in the space distribution have some regulation and local randomicity,so they can be described as regional variables,and can be simulated by variogram,the thickness estimation can reflect thickness variety regulation of well data,also can direct variety trend of seismic data.According to actual measurement thickness data on the roadway coalseam exposing points in the research area,some Cokriging predicting thickness examination have been done,and the predicting thickness error has become lower.The predicting precision has largely increased.The thickness predicting method is especially suitable for some coal mines which have done 3D seismic exploration.

【基金】 国家重点基础研究发展规划(973)项目(2009CB219603);国家自然科学基金面上项目(40874071);国家重大专项课题(2008ZX05035-005-001)
  • 【文献出处】 岩石力学与工程学报 ,Chinese Journal of Rock Mechanics and Engineering , 编辑部邮箱 ,2010年S1期
  • 【分类号】P631.4
  • 【被引频次】31
  • 【下载频次】551
节点文献中: 

本文链接的文献网络图示:

本文的引文网络