利用Kriging插值实现测井声波低频分量重构
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摘要
在钻井模拟过程中,进行地震测井智能联合反演,首要条件是根据已钻井的测井信息,获取待钻井井位的测井信息,而在此过程中测井声波速度低频分量的重构是非常重要的。为此,提出了一种基于Kriging插值的测井声波速度低频分量重构方法,详细介绍了如何利用该法实现测井声波低频分量的重构,并将该方法应用于准噶尔盆地庄1井的测井声波低频分量重构。结果表明,与传统的普通距离反比法和径向基函数插值法比较,该方法灵活、准确,更适合于测井声波速度低频分量的重构。
During the drilling simulation,the first is to obtain the well log information for the well to be drilled using the well log information of wells which have been drilled in order to inverse using seismic and well log information,the low frequency components reconstruction is very important in this process.Therefore,the well log AC low frequency components reconstruction using Kriging interpolation is presented in the paper.This paper introduced in detail how to use this method to reconstruct the low frequency components of the well log AC and applied this method in well log AC low component reconstruction of well Zhang 1 in Zhunger Basin.The results indicate that this method is more flexible,accuracy and suitable for the well log low frequency components reconstruction compared to the traditional methods,such as inverse distance weighting method and radial basis function interpolation method.
During the drilling simulation,the first is to obtain the well log information for the well to be drilled using the well log information of wells which have been drilled in order to inverse using seismic and well log information,the low frequency components reconstruction is very important in this process.Therefore,the well log AC low frequency components reconstruction using Kriging interpolation is presented in the paper.This paper introduced in detail how to use this method to reconstruct the low frequency components of the well log AC and applied this method in well log AC low component reconstruction of well Zhang 1 in Zhunger Basin.The results indicate that this method is more flexible,accuracy and suitable for the well log low frequency components reconstruction compared to the traditional methods,such as inverse distance weighting method and radial basis function interpolation method.
引文
[1]刘争平.人工神经网络在测井-地震资料联合反演中的应用研究[M].北京:科学出版社,2003.
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[3]侯景儒,尹镇南,李维明,等.实用地质统计学[M].北京:地质出版社,1998.
[4]靳国栋,刘衍聪,牛文杰.距离加权反比插值法和克里金插值法的比较[J].长春工业大学学报,2003,24(3):53-57.
[5]王靖波,潘懋,张绪定.基于Kriging方法的空间散乱点插值[J].计算机辅助设计与图形学学报,1999,11(6):525-529.
[6]苏姝,林爱文,刘庆华.普通Kriging法在空间内插中的运用[J].江南大学学报,2004,3(1):18-21.
[7]董辉,高光明,刘碧虹,等.基于空间散乱点插值的曲面重构[J].地质与勘探,2004,40(2):80-84.
[2]梁彩芳.测井及地震资料在钻井工程中的应用[J].石油钻探技术,2003,31(3):26-28.
[3]侯景儒,尹镇南,李维明,等.实用地质统计学[M].北京:地质出版社,1998.
[4]靳国栋,刘衍聪,牛文杰.距离加权反比插值法和克里金插值法的比较[J].长春工业大学学报,2003,24(3):53-57.
[5]王靖波,潘懋,张绪定.基于Kriging方法的空间散乱点插值[J].计算机辅助设计与图形学学报,1999,11(6):525-529.
[6]苏姝,林爱文,刘庆华.普通Kriging法在空间内插中的运用[J].江南大学学报,2004,3(1):18-21.
[7]董辉,高光明,刘碧虹,等.基于空间散乱点插值的曲面重构[J].地质与勘探,2004,40(2):80-84.
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