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IMPROVING THE ACCURACY OF NMR RELAXATION DISTRIBUTION ANALYSIS IN CLAY- RICH RESERVOIRS AND CORE SAMPLES

机译:提高富含粘土储层和核心样品的NMR弛豫分布分布的准确性

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Deriving accurate T2 relaxation spectra from nuclear magnetic resonance (NMR) CPMG measurements is critical to the determination of total and effective porosities, irreducible water saturations, and permeability from NMR logs and core measurements. Accurate spectra are also essential to estimate coefficients for the film model or Spectral Bulk Volume Irreducible (SBVI) model. This paper analyzes the effects of noise, inadequate sampling rate, and CBW on the estimation of T2 distribution and effective porosity. Synthetic data were used so that it is easy to compare the results with underlying model inputs. A new method is described which utilizes the partial porosity distributions obtained from two echo trains acquired with different TEs. High signal-to-noise ratio echo data with sampling time TE of 0.6 ms are used to obtain the CBW T2 distribution. These data are then used to reconstruct CBW contributions to the time domain early echoes of the conventional effective porosity echo data (TE = 1.2ms). This residual signal is then subtracted from the original echoes. The effective porosity distribution is estimated from the reconstructed echo train.
机译:从核磁共振(NMR)CPMG测量中获得精确的T2弛豫光谱对于从NMR日志和核心测量的总孔隙,不可缩短的水饱和度和渗透性的测定至关重要。精确的光谱对胶片模型或光谱批量体积不可缩短(SBVI)模型的系数也是必不可少的。本文分析了噪声,采样率不足,以及CBW对T2分布和有效孔隙率估计的影响。使用合成数据,以便很容易将结果与底层模型输入进行比较。描述了一种新方法,其利用从用不同TES获取的两个回声列车获得的部分孔隙率分布。使用0.6 ms的采样时间Te的高信噪比回波数据用于获得CBW T2分布。然后使用这些数据来重建传统有效孔隙度回声数据(TE = 1.2ms)的时域早期回波的CBW贡献。然后从原始回波中减去该残差信号。从重建的回声列车估计有效的孔隙度分布。

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