基于测井敏感属性重构的随机模拟地震反演  

Seismic stochastic inversion based on logging sensitive at- tributes reconstruction

作　　者：车廷信[1,2] 黄延章[1] 刘赫[3] 

机构地区：[1]中国科学院渗流流体力学研究所,河北廊坊065007 [2]北京中安盛泰科技有限公司,北京100107 [3]大庆油田勘探开发研究院,黑龙江大庆163712

出　　处：《石油地球物理勘探》2013年第A01期131-138,203+10-11,共8页Oil Geophysical Prospecting

摘　　要：本文以海拉尔盆地乌南次凹为例,采用基于测井敏感属性重构的非线性随机反演方法对研究区进行了储层预测,详细分析论述了反演过程中各个关键处理环节,如测井曲线的编辑与校正、遴选敏感测井参数、利用敏感测井曲线重构进行随机地震反演。反演结果分析表明,该方法提高了储层预测的分辨率和精度,预测的砂岩厚度与实钻结果吻合很好,在研究区取得了满意的效果。Taking Wunan Depression in Hailar Basin as an example in this paper,a stochastic inversion based on logging sensitive attributes-reconstruction is used for reservoir prediction,and all the key aspects of data processing in the course of inversion are discussed,such as logging curve editing and correction,determining sensitive logging parameters and the logging sensitive attributes-reconstruction-based stochastic inversion.Inversion results show that this method improves the resolution and accuracy of reservoir prediction,and the predicted sandstone thickness is consistent with the drilling results.

关 键 词：敏感测井参数 储层特征曲线重构 空变子波体 敏感参数随机反演 

分 类 号：P631[天文地球—地质矿产勘探]