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首页> 外文期刊>Petrophysics: The SPWLA Journal of Formation Evaluation and Reservoir Description >Reconciling NMR Measurements and Numerical Simulations: Assessment of Temperature and Diffusive Coupling Effects on Two-Phase Carbonate Samples
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Reconciling NMR Measurements and Numerical Simulations: Assessment of Temperature and Diffusive Coupling Effects on Two-Phase Carbonate Samples

机译：核对NMR测量和数值模拟：评估两相碳酸盐样品的温度和扩散耦合效应

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摘要

Nuclear Magnetic Resonance (NMR) is the only logging technique sensitive to pore-size distribution and pore structure. However, quantitative interpretation of NMR data can become uncertain in carbonate rocks because of unaccounted diffusion coupling between existing pore scales. The objective of this study is to assess the relative importance of diffusion coupling and temperature on NMR measurements performed on a few carbonate samples. The core of our work is based on the analysis of experimental NMR measurements and on the use of numerical simulations. The numerical simulation algorithm consists of Monte-Carlo random walks in three dimensions and accounts for two-phase fluid saturations in the presence of a bimodal pore-size distribution. NMR coupling effects are modeled by including simple cross-interactions between the fluids within the different types of pores. We present a method based on rock image analysis to calibrate the numerical model to NMR laboratory measurements acquired in complex carbonate rocks at two stages of fluid saturation. The derived simulation models are subsequently used to generate equivalent decoupled responses of the samples. Comparison of these decoupled responses with experimental data allows one to assess the effect of diffusion coupling. The experimental data were also used to quantify the temperature dependence of NMR measurements and movable fluid volumes, normally determined assuming either a constant a priori formation T_(2cutoff), or else parameters derived at ambient temperature. Finally, an analysis is made of the sensitivity of conventional permeability models to the combined effects of temperature and diffusion coupling, as evidenced by the core samples considered in this paper.
机译：核磁共振（NMR）是唯一对孔径分布和孔结构敏感的测井技术。然而，由于在现有孔隙尺度之间未解释的扩散耦合，因此碳酸盐岩中NMR数据的定量解释可能变得不确定。这项研究的目的是评估在一些碳酸盐样品上进行的NMR测量中扩散耦合和温度的相对重要性。我们工作的核心是基于对实验NMR测量的分析和数值模拟的使用。数值模拟算法由三维三维蒙特卡洛随机游走构成，并考虑了存在双峰孔径分布的两相流体饱和度。通过在不同类型的孔内的流体之间包括简单的交叉相互作用来模拟NMR耦合效应。我们提出了一种基于岩石图像分析的方法，以将数值模型校准为在流体饱和度的两个阶段在复杂碳酸盐岩中获得的NMR实验室测量值。随后使用导出的仿真模型来生成样本的等效解耦响应。将这些解耦响应与实验数据进行比较，可以评估扩散耦合的效果。实验数据还用于量化NMR测量值和可移动流体体积的温度依赖性，通常以恒定的先验地层T_（2cutoff）或在环境温度下得出的参数为基础进行确定。最后，分析了常规渗透率模型对温度和扩散耦合共同作用的敏感性，正如本文所考虑的岩心样本所证明的那样。

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