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贝叶斯-克里金估计方法在变速成图中的应用

The application of Bayesian-Kriging estimation method in variable velocity mapping

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【作者】 谢清惠赵中平

【Author】 Xie Qinghui,Zhao Zhongping.College of Energy Resources,China University of Geosciences(Beijing),Beijing 10083,China

【机构】 中国地质大学(北京)能源学院

【摘要】 简述了贝叶斯-克里金估计方法的原理,提出将贝叶斯-克里金估计方法应用于变速成图的思路。具体做法是:将目的层对应的井点速度作为观测数据,对应的地震速度作为猜测数据,对目的层速度进行贝叶斯-克里金估计预测;对估计速度进行时深转换,最终得到区域构造深度图。将该方法应用于塔里木盆地某研究区块的变速成图中,有效提高了该区构造解释精度:在井点位置,估计深度与观测深度的相对误差小于0.4%;在无井控的地方,构造变化比较稳定并符合实际地质情况。应用结果表明,将贝叶斯-克里金估计方法应用于变速成图的思路是可行的。

【Abstract】 The principles of Bayesian-Kriging estimation method were introduced briefly.Then,we proposed to apply Bayesian-Kriging method in variable velocity mapping.Firstly,taking the velocity at well positions corresponding to the target formation as observation data,and the responding seismic velocity as guess data,the velocity of target formation is predicted by Bayesian-Kriging estimation method.Finally,the regional tectonic depth map will be generated from the time-depth convention of estimated velocity.After applying this method to the variable velocity mapping of some area in Tarim Basin,the accuracy of the structure maps has been effectively improved.At the well positions,the relative error between the estimated depth and observation depth is below 0.4%;at the area without the constraint of well data,the structures have stable variation and are coinciding with the actual geological conditions.Therefore,applying the Bayesian-Kriging estimation method in variable velocity mapping is feasible and reasonable.

  • 【文献出处】 石油物探 ,Geophysical Prospecting for Petroleum , 编辑部邮箱 ,2012年03期
  • 【分类号】P631.4
  • 【被引频次】7
  • 【下载频次】148
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