首页> 外文会议>International Symposium of the Society of Core Analysts >DETERMINATION OF PHYSICAL PROPERTIES OF TIGHT POROUS MEDIA USING DIGITAL CORE PHYSICS/ANALYSIS,,,Sergey Kryuchkov,This paper was prepared for presentation at the International Symposium of the Society of Core Analysts held in St. John’s Newfoundland and Labrador,Canada,16-21 August,2015 ABSTRACT
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DETERMINATION OF PHYSICAL PROPERTIES OF TIGHT POROUS MEDIA USING DIGITAL CORE PHYSICS/ANALYSIS,,,Sergey Kryuchkov,This paper was prepared for presentation at the International Symposium of the Society of Core Analysts held in St. John’s Newfoundland and Labrador,Canada,16-21 August,2015 ABSTRACT

机译:使用数字核心物理学/分析测定紧密多孔介质的物理性质,,谢尔盖克·科夫,这篇论文是在加拿大圣约翰纽芬兰和拉布拉多举行的核心分析师协会的介绍中的介绍。16-21 2015年8月摘要

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In this study we use pore-scale SEM images of tight porous media,and generate threholded binary images which are then used to reconstruct three-dimensional(3-D)pore structures. Computational physics is then employed in order to calculate the physical properties of the porous media,such as the porosity,permeability,electrical resistivity and formation factor,and the NMR spectra. This involves generating an unstructured 3-D grid in the pore space in which we solve the corresponding governing equations. The original thresholded images have high resolution which allows a more precise masking of the pore spaces. However,there is a high computational cost associated with the high resolution images. Reducing the resolution will reduce the mask precision in the pore areas and this will lead to a different numerical solution. Therefore,we much optimize between the computational cost and accuracy when performing the numerical simulation. The threshold values for the samples at hand were selected by trying to match porosity and permeability of a neighboring plug. The choice of threshold value has a profound effect on the porous medium properties. For the fluid flow calculations,we solve the velocity and pressure in the pore space by solving the NavierStokes equations and using the results to obtain the absolute permeability. The electrical resistivity is obtained by solving for the current density through Ohm’s law,and for the NMR study we solve for the equations of molecular diffusion. This approach can be described as a version of digital core analysis(DCA)or digital core physics(DCP).
机译:在这项研究中,我们使用紧密多孔介质的孔径SEM图像,并产生波黑倍的二进制图像,然后用于重建三维(3-D)孔结构。然后采用计算物理学以计算多孔介质的物理性质,例如孔隙率,渗透性,电阻率和形成因子,以及NMR光谱。这涉及在孔隙空间中产生非结构化的3-D网格,其中我们解决了相应的控制方程。原始阈值的图像具有高分辨率,允许孔隙空间更精确的遮蔽。然而,与高分辨率图像相关的高计算成本。降低分辨率将减少孔隙区域中的面罩精度,这将导致不同的数值溶液。因此,在执行数值模拟时,我们在计算成本和准确性之间进行了大量优化。通过试图匹配相邻插头的孔隙率和渗透率来选择手中的样品的阈值。阈值的选择对多孔介质性质具有深远的影响。对于流体流量计算,通过求解导航方程并使用结果来获得绝对渗透率来解决孔隙空间中的速度和压力。通过通过欧姆法律解决电流密度而获得电阻率,并且对于NMR研究,我们解决了用于分子扩散的方程。这种方法可以被描述为数字核心分析(DCA)或数字核心物理(DCP)的版本。

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