Liu Jianyu, Fan Yiren, Qiu Tingcong, Ge Xinmin, Deng Shaogui, Xing Donghui
School of Geosciences in China University of Petroleum, Qingdao 266580, PR China; Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, PR China.
School of Geosciences in China University of Petroleum, Qingdao 266580, PR China; Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, PR China.
J Magn Reson. 2019 Jun;303:67-74. doi: 10.1016/j.jmr.2019.04.009. Epub 2019 Apr 11.
Compared with two-dimensional (2D) nuclear magnetic resonance (NMR) technique like correlations among the transversal relaxation time (T), the longitudinal relaxation time (T), and the diffusion coefficient correlation (D), three-dimensional (3D) NMR technique is superior with the complete measurement of T, T, and D simultaneously. It can solve the problem of overlaps in 2D correlation map and is helpful to characterize relaxation components in unconventional resources such as tight gas and oil shale. However, the existed 3D NMR technique is restricted due to the loss of short relaxation information and the inversion inaccuracy that caused by the incomplete measurement of the diffusion editing window. We developed a tri-window pulse sequence to collect the full decaying information of porous media. In the first window, the inversion-recovery pulse sequence is applied for T encoding. In the second window, D and T are encoded by an adjustable continuous pulse field gradient and echo spacing (TE). In the last window, CPMG with the shortest TE is used to acquire diffusion-free relaxation information. We then proposed a joint inversion algorithm named "composite-data-processing" to obtain the 3D correlation map. The algorithm adopts the dimension reduction technique and the truncated singular value decomposition (TSVD) to speed up the inversion process and enhance the inversion stability. Numerical simulations show that good estimations of the inversion results are obtained at different signal to noise ratios (SNRs). Our results suggest that the novel pulse sequence and inversion algorithm of 3D NMR can be effectively applied to the exploration of unconventional resources.
与二维(2D)核磁共振(NMR)技术相比,如横向弛豫时间(T)、纵向弛豫时间(T)和扩散系数相关性(D)之间的相关性,三维(3D)NMR技术在同时完整测量T、T和D方面具有优势。它可以解决二维相关图中的重叠问题,有助于表征致密气和油页岩等非常规资源中的弛豫成分。然而,现有的三维核磁共振技术由于扩散编辑窗口测量不完全导致的短弛豫信息丢失和反演不准确而受到限制。我们开发了一种三窗口脉冲序列来收集多孔介质的完整衰减信息。在第一个窗口中,应用反转恢复脉冲序列进行T编码。在第二个窗口中,通过可调连续脉冲场梯度和回波间隔(TE)对D和T进行编码。在最后一个窗口中,使用具有最短TE的CPMG来获取无扩散弛豫信息。然后,我们提出了一种名为“复合数据处理”的联合反演算法来获得三维相关图。该算法采用降维技术和截断奇异值分解(TSVD)来加速反演过程并提高反演稳定性。数值模拟表明,在不同信噪比(SNR)下都能得到较好的反演结果估计。我们的结果表明,三维核磁共振的新型脉冲序列和反演算法可以有效地应用于非常规资源的勘探。