节点文献
地质统计学反演在煤层气薄储层识别中的应用
Thin coalbed methane reservoir identification by geostatistics inversion
【摘要】 在常规波阻抗反演基础上,应用地质统计学反演可以提高反演的纵向分辨率。本文以中国E盆地三维地震数据预测煤层气薄储层为例,在稀疏脉冲波阻抗反演基础上求取水平变差函数,利用随机模拟得到井间波阻抗,通过反复迭代取得与地震数据相匹配的地质统计学反演结果。反演结果与测井数据吻合度高,能精细描述煤层气薄储层的空间分布形态及其他特征,为煤层气薄储层识别提供了新的思路和方法。应用该方法对薄煤层的预测精度优于常规叠后反演。
【Abstract】 On the basis of conventional impedance inversion,geostatistics inversion can improve the vertical resolution of inversion results.This paper shows an example of thin coalbed methane(CBM) reservoir prediction based on 3D seismic data in E Basin,China.The lateral variogram is derived from the sparse spike impedance inversion and impedance values cross wells are interpolated by random simulation.By consistent iteration with seismic data,geostatistics inversion results are obtained,which match very well logging data.These results describe precisely distributional characteristics of thin CBM reservoirs.This new idea for thin CBM reservoir prediction is more accurate than conventional post-stack inversion.
【Key words】 thin reservoir prediction; geostatistics inversion; CBM; reservoir precise description; impedance inversion;
- 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2012年S1期
- 【分类号】P631.4;P618.13
- 【被引频次】13
- 【下载频次】337