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An Advanced Approach to Study the Seepage Characteristics of Dynamic Remaining Oil in Porous Media at Pore Scale

机译:一种高级方法,研究孔隙率多孔介质动态剩余油的渗流特性

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The study of remaining oil microscopic percolation characteristics in porous media at pore scale plays an important role in enhanced oil recovery. Especially the dynamic remaining oil, which is different from the static remaining oil, makes a major contribution to production. The study of dynamic remaining oil percolation characteristics in pore scale plays an important role in both explaining the micro flow mechanisms from micro level and providing theoretical guidance to enhance oil recovery. In this paper, dynamic remaining oil is first defined by comparing to the static remaining oil and an advanced method combining the glass etching microscopic model experiments and computer image processing & recognition techniques that can identify and analyze the flow characteristics in pore scale is introduced. The method can automatically classify the microscopic remaining oil flowing patterns considering the flowing shape and the connect-relationship among the oil, water and rock. Compared to artificial identification results, the error range of this method is less than 5%. Meanwhile, it increases the processing speed greatly. And furthermore it provides an approach for the studying of dynamic remaining oil seepage characteristics in pore scale. Then the advanced approach is used to analyze the variable relationship of pore scale different flowing patterns micro dynamic remaining oil in high water cut period. Research result shows that all the remaining oil in ultrahigh water cut period can be classified into five categories that respectively are clustered stream, multi-porous stream, columnar stream, membranous stream and droplet stream. Among of the five categories, clustered stream possess the largest proportion and are also the main factor of relative permeability curves recurved. Meanwhile, with water saturation rising, clustered stream gradually transformed into other patterns like multi-porous stream, columnar stream, membranous stream and droplet stream. Also we find that the occurring occasion of clustered stream inflection point is positively correlated to the maximum water saturation. Meantime, the result indicates oil/water flowing regularity and the reason of oil-water relative permeability curves non-linearity during ultrahigh water cut period from the microscopic point of view. And it also provides a guidance to enhance recovery degree of remaining oil and the recovery efficiency. Overall, an open and flexible research method to study dynamic remaining oil about flowing characteristics in pore scale by combining microscopic etching glass modeling experiment and computer image recognition & processing technology is introduced in this paper. And according to different research purposes, the range of characteristic parameters is easy to be adjusted to meet various studying demands.
机译:在孔隙率下剩余油微观渗透特性的研究在增强的采油中起着重要作用。特别是与静剩余油不同的动态剩余油,对生产进行了重大贡献。在孔鳞中动态剩余的油渗流特征的研究在解释微观水平并提供了提高油回收的理论指导方面起着重要作用。在本文中,首先通过比较静止剩余的油和组合玻璃蚀刻微观模型实验和计算机图像处理和识别技术的先进方法来定义动态剩余油。引入了可以识别和分析孔隙尺度的流动特性的计算机图像处理和识别技术。该方法可以自动分类微观剩余的油流动模式,考虑到油,水和岩石之间的流动形状和连接关系。与人工鉴定结果相比,该方法的误差范围小于5%。同时,它大大提高了加工速度。此外,它提供了一种研究孔隙尺度动态剩余油渗流特性的方法。然后,先进的方法用于分析孔隙尺度不同流动模式微动剩余油的可变关系。研究结果表明,超高水切断时段的所有剩余油可以分为五个类别,分别是聚集流,多多孔流,柱状物流,膜流和液滴流。在五类中,聚集流具有最大比例,并且也是相对渗透曲线的主要因素。同时,随着水饱和度上升,聚集流逐渐转化成其他图案,如多孔流,柱状物流,膜流和液滴流等其他图案。此外,我们发现集群流拐点的发生时机与最大水饱和度呈正相关。同时,结果表明油/水流动规律和油水相对渗透率曲线从微观视角的超高水切割期间非线性的原因。它还提供了提高剩余油的恢复程度和恢复效率的指导。总的来说,通过结合微观蚀刻玻璃建模实验和计算机图像识别和加工技术,通过组合微观蚀刻玻璃建模实验和计算机图像识别和加工技术研究动态剩余的剩余石油的开放和灵活的研究方法。并根据不同的研究目的,易于调整特征参数范围以满足各种研究需求。

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