提出一种核磁共振多回波串数据联合反演方法,分别对核磁共振孔隙度测量的两组回波串数据、变等待时间多回波串数据以及变回波间隔多回波串数据进行了处理.结果表明,这样处理得到的一维核磁共振瓦分布不但连续,而且能够揭示短横向弛豫组分的细微特征,提高了核磁共振孔隙度的精度.处理变等待时间或变回波间隔下的多回波串数据,可以得到孔隙流体的(T2,T1)或(T2,D)二维核磁共振分布图.与一维核磁共振T2分布相比,二维核磁共振提高了识别流体的效果.
A method for multiple echo trains jointing inversion of NMR measurement data sets is suggested in this paper. The availability of the method is proved by processing NMR porosity measurements data, multiple echo trains data sets with variable waiting time and variable echo spacing. The one-dimensional T2 distribution obtained by this method is not only smooth, it also shows subtle features in the short relaxation time. The accuracy of NMR porosity is improved. (T2, T1) or (T2, D) two-dimensional distributions can be obtained by processing multiple echo trains with variable waiting time or variable echo spacing respectively. The results demonstrate the advantage of using two-dimensional NMR for fluid typing over conventional T2 distribution.