Effect of Pore Structure and Capillary Number on Gas-Water Flow Patterns in Carbonate Rocks

毛细管作用 渗透(认知心理学) 土壤孔隙空间特征 多孔性 矿物学 地质学 渗流理论 幂律 流量(数学) 碳酸盐 碳酸盐岩 机械 材料科学 化学 沉积岩 复合材料 岩土工程 地球化学 统计 数学 电导率 物理化学 物理 神经科学 生物 冶金
作者
Yingwen Li,Yongfei Yang,Mingzhe Dong,Changfu Liu,Stefan Iglauer,Lixin Kang,Jun Yao,Kai Zhang,Hai Sun,Lei Zhang
出处
期刊:Spe Journal [Society of Petroleum Engineers]
卷期号:27 (04): 1895-1904 被引量:29
标识
DOI:10.2118/209615-pa
摘要

Summary Rock pore structure and capillary number determine gas-water flow through limestone. Limestone is of key importance for natural gas production and gas storage; however, there is still limited direct evidence on the precise influence of the pore space morphology (vugs, fractures, and homogeneous pore matrix) and capillary number. Here, we thus studied gas-water flow patterns in various limestones via in-situ X-ray microtomography combined with numerical flow simulations. Pore structure heterogeneity significantly affected the fluid migration path. Gas flowed rapidly through large pores and vugs but flowed slowly through microfractures. In contrast, water flowed through microfractures and small pores but did not enter large pores at low capillary number conditions. Water flow simulations [performed for different capillary numbers directly on microcomputed tomography (μ-CT) images] demonstrated that snap-off and dead-end corners controlled the distribution of residual gas, consistent with the experiments. In addition, the simulations showed that less residual gas distributed around dead-end corners at a low capillary number, and a part of the residual gas can be displaced by increasing viscous forces. Moreover, a power-low relationship between gas cluster volume and surface area was observed, and the gas cluster size distribution could also be fitted with a power-law correlation. In all types of tested limestones, the power-law exponents (p ≈ 0.77, τ ≈ 0.86) were lower than that predicted by simple percolation theory (which predicts p ≈ 1, τ ≈ 2.189). There was evidence that a simple percolation model was unlikely to provide reliable predictions in homogeneous porous media, and we further extended the application scope of this conclusion to heterogeneous porous media. This work therefore provides fundamental data and improves fundamental understanding of gas-water flow through limestones and aids in the further advancements of improved hydrocarbon recovery and gas storage in limestone reservoirs.
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