消除核磁共振测井数据中的扩散效应增强碳酸盐岩孔隙分型

G. Hursán, Wei Shao, R. Balliet, Yasir Farooq
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引用次数: 0

摘要

多频率、多梯度核磁共振(NMR)测井工具测量的横向弛豫(T2)时间受到扩散诱发的增强弛豫的影响,这降低了大孔碳酸盐等慢弛豫地层对孔径的敏感性,并使与零梯度岩心核磁共振数据的整合变得复杂。我们提出了一种解决方案,用于消除扩散相关的不确定性,该不确定性是通过一种新的反演-正演建模-反演(IFMI)方法获得的,用于碳酸盐孔隙类型应用。本文提出的核磁共振测井是基于在5个频率下测量的数据,其中静磁场梯度从26到55 G/cm不等。采用三步IFMI差分信号分析方法处理高质量的回波信号,该方法消除了由于工具梯度和地层中顺磁性矿物引起的潜在内部梯度造成的扩散效应。由此产生的无扩散本质T2分布强调了精细孔隙大小的变化,从而可以更好地识别复杂碳酸盐岩储层的微孔、中孔和大孔系统。在多口井中采集的多频核磁共振数据采用多种方法进行处理和分析。首先,分别获得各个频率的表观T2分布。不同频率结果之间的差异清楚地表明,在宏观和介孔碳酸盐中,即使TE=0.3ms,扩散效应也很显著。这导致在常规核磁共振处理的表观T2谱中观察到峰展宽,其中来自不同频率的回波序列在反演之前在时域中平均。在IFMI处理中,首先使用二维核磁共振反演对单频回波序列进行预处理,其结果用于对无扩散回波序列进行正演建模,而无需事先假设储层流体扩散系数d。第二次反演应用于无扩散回波序列,得到本征T2分布。在扩散效应显著的碳酸盐地层中,本征T2分布具有明显较高的光谱分辨率。固有T2测井将与其他无梯度核磁共振测量(如岩心核磁共振或随钻核磁共振数据集)更加一致。
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Eliminating Diffusion Effects from NMR Logging Data for Enhanced Carbonate Pore Typing
Transverse relaxation (T2) times measured by multi-frequency, multi-gradient nuclear magnetic resonance (NMR) logging tools are affected by diffusion-induced enhanced relaxation which reduces the sensitivity to pore size in slow-relaxing formations such as macroporous carbonates and complicates the integration with zero-gradient core NMR data. We propose a solution for eliminating the diffusion-related uncertainties using intrinsic T2 distributions, obtained by a new inversion-forward modeling-inversion (IFMI) method, for carbonate pore typing applications. The NMR logs presented in this paper are based on data measured at five frequencies where the static magnetic field gradient varies from 26 to 55 G/cm. The high-quality echo signals are processed using a three-step IFMI differential signal analysis approach which nullifies diffusion effects due to the tool gradient and the potentially present internal gradient caused by paramagnetic minerals in the formation. The resulting diffusion-free intrinsic T2 distribution accentuates fine pore size variations and allows better discernment of micro-, meso-, and macropore systems of complex carbonate reservoirs. Multi-frequency NMR data, acquired in multiple wells, were processed and analyzed in several ways. First, apparent T2 distributions were obtained separately for individual frequencies. Discrepancies between the results of different frequencies clearly indicated that in macro- and mesoporous carbonates the diffusion effect is significant even with TE=0.3ms. This leads a peak broadening observed in the apparent T2 spectrum from conventional NMR processing, where echo trains from different frequencies are averaged in time-domain prior to the inversion. With the IFMI processing, individual-frequency echo trains are first pre-processed using a 2D NMR inversion whose results are used to forward model a diffusion-free echo train without prior assumptions on reservoir fluid diffusivity D. A second inversion, applied on the diffusion-free echo train, yields the intrinsic T2 distribution. The intrinsic T2 distribution has a noticeably higher spectral resolution in carbonate formations where diffusion effect is significant. The intrinsic T2 logs are expected to be more consistent with other gradient-free NMR measurements such as core NMR or LWD NMR data sets.
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