Application of Low-Field Nuclear Magnetic Resonance (LFNMR) in Characterizing the Dissociation of Gas Hydrate in a Porous Media,Energy & Fuels

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Application of Low-Field Nuclear Magnetic Resonance (LFNMR) in Characterizing the Dissociation of Gas Hydrate in a Porous Media
Energy & Fuels ( IF 5.2 ) Pub Date : 2021-01-22 , DOI: 10.1021/acs.energyfuels.0c03855
Yongchao Zhang _{1,

2} , Lele Liu _{1,

2} , Daigang Wang ₃ , Pengfei Chen ₄ , Zhun Zhang ₄ , Qingguo Meng _{1,

2} , Changling Liu _{1,

2}

Affiliation

Clear understandings of the dissociation behaviors and characteristics of a gas hydrate are essential for the exploitation of hydrate-bearing reservoirs. To study the dissociation characteristics of a gas hydrate in porous media, measurements using the low-field nuclear magnetic resonance (LFNMR) method on three different sand samples are conducted in this work. The changes of pore radius and phase saturation during the dissociation are determined based on the transverse relaxation time (T₂) spectra. The fractal dimension is employed to depict the distributions of pore spaces occupied by water in the media, which shows a decreasing function with the decreasing hydrate saturation. Predictions of water permeability during the hydrate dissociation are comparably conducted using a fractal model and the widely used Schlumberger-Doll Research model. The fractal model performs better in showing the influences of pore-structure factors on the water permeability. The changes of specific reaction surface areas during the dissociation are estimated and preliminarily analyzed based on the results of LFNMR measurements. Results in this work may provide valuable insights for the related researches including the mechanical, acoustic, and electrical properties of the hydrate-bearing sediments.

中文翻译：

低场核磁共振（LFNMR）在表征多孔水合物中天然气水合物分解中的应用

对天然气水合物的解离行为和特征的清晰了解对于开采含水合物的油藏至关重要。为了研究气体水合物在多孔介质中的离解特性，在这项工作中使用低场核磁共振（LFNMR）方法对三个不同的砂样进行了测量。根据横向弛豫时间（T _2）确定解离过程中孔隙半径和相饱和度的变化。）光谱。分形维数用来描述介质中水占据的孔隙空间的分布，随着水合物饱和度的降低，孔隙空间的分布逐渐减小。使用分形模型和广泛使用的Schlumberger-Doll Research模型可以比较地预测水合物分解过程中的水渗透率。分形模型在显示孔隙结构因素对水渗透性的影响方面表现更好。基于LFNMR测量的结果，估计并初步分析了解离过程中比表面积的变化。这项工作的结果可能为相关研究提供有价值的见解，包括含水合物沉积物的机械，声学和电学性质。

更新日期：2021-02-04

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