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Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography

机译:微型计算机断层扫描的残留油分类和影响因素的可视化实验

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摘要

Pore-scale mechanism of the waterflooding process contributes to enhanced oil recovery, which has been widely emphasized in the petroleum industry. In this paper, pore-scale waterflooding experiments are carried out on mixed-wetted natural sandstone and 3D printed sandstone using micro-computed tomography (μ-CT). The high-resolution images of oil/water distribution in different stages of waterflooding cycles are acquired. The classification of residual oil after waterflooding is conducted using the shape factor and Euler number, which represents the shape and spatial connectivity, respectively. The in situ contact angles are measured on the segmented images and the pore-scale wettability of these two samples is analyzed. Then, the effects of pore structure, micro-fracture and wettability on the distribution of the patterns of residual oil are analyzed. The results indicate that the types of isolated, cluster, network, and film (only for natural sample) are the main forms of residual oil patterns after the waterflooding process. The negative correlation between the shape factor and the Euler number of the typical oil blocks are presented. The effect of wettability and pore geometry on the morphology of the oil/water interface is quantitatively studied. The capillary pressure is the key factor for the formation of the residual oil blocks, the morphology of which is controlled by both wettability and pore geometry.
机译:孔隙率机制的水塑化过程有助于提高石油回收,这在石油工业中已被广泛强调。本文使用微计算机断层扫描(μ-CT),对混合湿润的天然砂岩和3D印刷砂岩进行了孔径水上水坑实验。获得了在水性循环的不同阶段的油/水分布的高分辨率图像。使用形状因子和欧拉数分别进行了水上的残留油分类,其分别表示形状和空间连接。在分段图像上测量原位接触角,分析了这两个样品的孔隙尺度润湿性。然后,分析了孔隙结构,微骨折和润湿性对残留油模式的影响。结果表明,隔离,集群,网络和薄膜(仅用于天然样本)的类型是水性过程后残留油模式的主要形式。提出了形状因子与典型油块的欧拉数之间的负相关。润湿性和孔隙几何形状的影响定量地研究了油/水界面的形态。毛细管压力是形成残留油块的关键因素,其形态由润湿性和孔几何形状控制。

著录项

  • 来源
    《Journal of Energy Resources Technology》 |2020年第8期|083003.1-083003.15|共15页
  • 作者单位

    School of Geoscience and Technology Southwest Petroleum University Xindu Road No. 8 Xindu District Chengdu City Sichuan Province 610500 China Computational Transport Phenomena Laboratory (CTPL) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 KSA;

    School of Geoscience and Technology Southwest Petroleum University Xindu Road No. 8 Xindu District Chengdu City Sichuan Province 610500 China;

    Computational Transport Phenomena Laboratory (CTPL) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 KSA;

    School of Geoscience and Technology Southwest Petroleum University Xindu Road No. 8 Xindu District Chengdu City Sichuan Province 610500 China;

    Southwest Petroleum University Xindu Road No. 8 Xindu District Chengdu City Sichuan Province 610500 China;

    State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences Xiaohongshan Wuchang Wuhan 430071 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    micro-computed tomography; residual oil pattern; pore-scale wettability; capillary pressure; oil/gas reservoirs; petroleum engineering;

    机译:微计算断层扫描;剩余油图案;孔隙尺度润湿性;毛细管压力;油/煤气藏;石油工程师;
  • 入库时间 2022-08-18 21:17:42

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