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A novel pulse sequence and inversion algorithm of three-dimensional low field NMR technique in unconventional resources

机译:一种新型脉冲序列与非传统资源三维低场NMR技术的脉冲序列和反转算法

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摘要

Compared with two-dimensional (2D) nuclear magnetic resonance (NMR) technique like correlations among the transversal relaxation time (T-2), the longitudinal relaxation time (T-1), and the diffusion coefficient correlation (D), three-dimensional (3D) NMR technique is superior with the complete measurement of T-2, T-1, 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(1 )encoding. In the second window, D and T-2 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. (C) 2019 Elsevier Inc. All rights reserved.
机译:与二维(2D)核磁共振(NMR)技术相比,如横向松弛时间(T-2)之间的相关性,纵向松弛时间(T-1)和扩散系数相关(D),三维(3D)NMR技术优于T-2,T-1和D的完整测量。它可以解决2D相关图中重叠的问题,并且有助于在非常规资源中表征放松组件,如紧汽和油页岩。然而,由于短松弛信息的丢失和由扩散编辑窗口的不完全测量引起的反转不准确而存在,存在于存在的3D NMR技术。我们开发了一个三窗脉冲序列,以收集多孔介质的完整腐烂信息。在第一窗口中,施加反转恢复脉冲序列用于T(1)编码。在第二窗口中,D和T-2通过可调连续脉冲场梯度和回波间隔(TE)编码。在最后一个窗口中,具有最短TE的CPMG用于获取无扩散的放松信息。然后,我们提出了一种名为“复合数据处理”的联合反演算法,以获得3D相关图。该算法采用尺寸减小技术和截断的奇异值分解(TSVD)来加速反转过程并增强反转稳定性。数值模拟表明,在不同信号中获得了良好的反演结果估计到噪声比(SNR)。我们的研究结果表明,3D NMR的新型脉冲序列和反转算法可以有效地应用于对非传统资源的探索。 (c)2019 Elsevier Inc.保留所有权利。

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