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Estimating irreducible water saturation and permeability of sandstones from nuclear magnetic resonance measurements by fractal analysis

机译:通过分形分析估计核磁共振测量的不可缩续的水饱和度和砂岩的渗透性

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摘要

Understanding the relationships between the pore structure and bulk properties such as irreducible water saturation (S-wir) and permeability (k) of rocks is a crucial problem in geoscience. In this study, two types of fractal dimension were determined from nuclear magnetic resonance (NMR) T-2 relaxation time distribution and models for estimating S-wir and k using fractal theory were proposed. In view of the data of sandstone samples from upper Paleozoic formation in China, we found a good agreement between the predicted S-wir values based on fractal analysis and the experimental measurements, and the estimated k values based on the proposed model are within one order of magnitude of measured k. Additionally, another four frequently used k estimation models were compared with our proposed model, and the result support that the proposed approach has great potential in investigating k while certain limitation still exists. This procedure was applied on another set of sandstone samples collected from a different location, and the predicted permeability values are reliable. Our study suggests that the proposed S-wir estimation model using NMR T-2 data and fractal dimensions provides useful insights into characterizing the pore space properties of sedimentary rocks. Our work demonstrates that we can use NMR data to infer S-wir directly, and the estimated S-wir value can be well integrated in permeability prediction model, which improves the applications of NMR in characterizing the properties related to rock pores.
机译:了解孔结构与散装性质(如Irreafible水饱和度(S-Wi线)和岩石渗透率(k)之间的关系是地球科学的关键问题。在该研究中,从核磁共振(NMR)T-2弛豫时间分布和用于使用分形理论的估计S型线和K的模型确定了两种类型的分形尺寸。鉴于来自中国上古生代形成的砂岩样本数据,我们在基于分形分析和实验测量的预测的S-WIR值之间发现了良好的一致性,并且基于所提出的模型的估计k值在一个订单中测量的幅度k。另外,将另外四种经常使用的K估计模型与我们所提出的模型进行比较,并且所提出的方法在调查K中具有很大的潜力的结果支持,而某些限制仍然存在。将该程序应用于从不同位置收集的另一组砂岩样品上,并且预测的渗透率值是可靠的。我们的研究表明,所提出的使用NMR T-2数据和分形尺寸的S-WI线估计模型为表征沉积岩的孔隙空间特性提供了有用的见解。我们的工作表明,我们可以直接使用NMR数据来推断S-WIR,并且估计的S-WIR值可以很好地集成在渗透性预测模型中,这改善了NMR在表征与摇滚孔相关的性质时的应用。

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