Study on the microscopic pore permeability behavior of granite under multiple cycles of cold-hot alternating damage effects

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Li Yu, Haonan Li, Yue Wu, Weihao Wang, Xinyuan Zhang
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Abstract

In the process of harnessing geothermal energy, the enduring effects of thermal cycling on granite within the geothermal reservoir led to alterations in rock permeability. This, in turn, directly impacts the efficiency of thermal energy extraction. Hence, delving into the micro-permeability dynamics of granite is imperative to understand the characteristics of prevalent fractures. Employing micro-CT technology, we meticulously extract and analyze the pores of granite samples, unveiling the distribution patterns of pores and micro-permeability variations under successive thermal cycles. The resultant three-dimensional pore model vividly showcases the evolving pore structures during both heating and cooling cycles. Notably, the distribution curve of granite pore volume adheres to a chi-square distribution. Through the utilization of pore volume distribution curves, we categorize rock pores into four distinct types: micropores, mesopores, macropores, and fractures. Both quantitatively and visually, micropores and mesopores predominate, while a fraction of pores gradually transitions into sizable fractures. By employing suitable representative elements to construct the flow field within the large pore model and subsequently calculating permeability, we observe a positive correlation between porosity, permeability, and cyclic temperature-induced damage. Notably, the estimated permeability closely aligns with the measured values, exhibiting an acceptable margin of error. Furthermore, under the influence of thermal cycle-induced damage, the flow simulation demonstrates a noticeable increase in the number of flow lines, consequently resulting in enhanced permeability. This effectively validates the accuracy of the flow simulation based on micro-CT results.

多周期冷热交变损伤效应下花岗岩微观孔隙渗透行为研究
在利用地热能的过程中,热循环对地热储层内花岗岩的持久影响导致了岩石渗透性的改变。这反过来又直接影响了热能提取的效率。因此,深入研究花岗岩的微观渗透动态对于了解普遍存在的裂缝的特征至关重要。我们采用显微 CT 技术,对花岗岩样本的孔隙进行了细致的提取和分析,揭示了孔隙的分布模式以及在连续热循环下的微渗透率变化。由此获得的三维孔隙模型生动地展示了加热和冷却循环过程中不断演变的孔隙结构。值得注意的是,花岗岩孔隙体积的分布曲线符合秩方分布。利用孔隙体积分布曲线,我们将岩石孔隙分为四种不同类型:微孔、中孔、大孔和裂缝。无论从数量上还是从视觉上看,微孔和中孔都占主导地位,而一部分孔隙则逐渐过渡为规模较大的裂缝。通过在大孔隙模型中采用适当的代表性元素构建流场,并随后计算渗透率,我们观察到孔隙度、渗透率和循环温度诱发的破坏之间存在正相关。值得注意的是,估算的渗透率与测量值非常接近,误差在可接受范围内。此外,在热循环诱导损伤的影响下,流动模拟显示流线数量明显增加,从而导致渗透率提高。这有效验证了基于显微 CT 结果的流动模拟的准确性。
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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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