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该文叙述核磁自旋回波串的液体分量分解快速反演法.此方法假定液体,无论是在散装形式或饱和多孔介质中,可以用一个或一组核磁弛豫线形来表征.对一维核磁共振的拉普拉斯反演,它可以是预先确定的一个或一组T2或T1分布.对二维核磁共振的拉普拉斯反演,它可以是一个或一组预先确定的( D, T2)或( T1, T2)二维分布.对三维核磁共振的拉普拉斯反演,它可以是一个或一组预先设定的( D, T1, T2)三维分布.这些预先确定的线形,可以是高斯、B样条或预先由实验或经验确定的任何线形.这种方法可以显着降低核磁共振数据反演的计算时间,特别是从石油核磁共振测井采集的多维数据反演,它不需牺牲反演所得的分布的平滑性和准确性.这种方法的另一个新应用是作为一种约束求解方法来过滤相邻深度所采集的数据噪音.核磁共振测井的噪音信号,往往造成在相邻深度的同一岩性岩层有不同的T2分布.在此情况下, T2分布就不能用来识别岩性.通过非一般的矩阵操作,作者成功实现了对相邻深度的回波串实施约束求解方法,从而使得T2分布成为一种可靠的岩性识别指标.
This paper describes the rapid inversion of liquid component decomposition of NMR spin-echo trains, which assumes that liquids, whether in bulk or in saturated porous media, can be characterized by one or a set of NMR relaxation lines. Resonance Laplacian inversion, which can be a predetermined set of one or a set of T2 or T1 For a Laplace inversion of two-dimensional nuclear magnetic resonance, it can be one or a set of predetermined (D, T2) or (T1, T2). For Laplacian inversion of three-dimensional nuclear magnetic resonance, it can be a set of three-dimensional distributions of (D, T1, T2) , Which can be Gaussian, B-spline, or any previously determined experimentally or empirically. This approach can significantly reduce the computational time for NMR data inversion, in particular multidimensional data retrieved from petroleum NMR logs, It does not have to sacrifice the smoothness and accuracy of the retrieved distribution.Another new application of this approach is to use a constrained solution to filter the data noise collected at adjacent depths.Nuclear magnetic resonance logging noise, Often caused by the same depth in the adjacent In this case, the T2 distribution can not be used to identify the lithology.By non-general matrix operation, the author succeeded in implementing the constraint solution to the echo train at the adjacent depth, so that T2 Distribution becomes a reliable indicator of lithology identification.