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首页> 外文会议>IEEE International Conference on Advanced Computing >Determination of Porosity of Rock Samples from Photomicrographs Using Image Analysis
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Determination of Porosity of Rock Samples from Photomicrographs Using Image Analysis

机译：使用图像分析测定岩体样品孔隙率

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摘要

Reservoirs are the porous and permeable rocks that contain commercial deposits of hydrocarbons. Porosity is a very important property of reservoirs. This paper presents a method of determining the porosities of different types of rocks based on image analysis. Stereological research for analysis of porosity were conducted by traditional methods before image analysis which were time consuming and lacked accuracy. The method proposed determines the porosity by computing the part of the whole sample for which the pores account. The steps involved in the above method are a series of contextual, non-contextual and morphological operations that are commonly used in image processing and analysis. The procedure was tested on thin sections of sandstone and limestone rock samples. The results were computed in the form of total porosity which includes all types porosities observed in rocks including isolated and connected porosities. The porosity obtained can also be called as visual porosity as it is being determined from photomicrographs. Values obtained show that the method proposed can lead to satisfying results. Obtained porosity values can be used further to determine determine other important properties of reservoir like permeability.
机译：储层是含有碳氢化合物的商业沉积物的多孔和渗透性岩石。孔隙度是水库的一个非常重要的财产。本文提出了一种基于图像分析确定不同类型岩石的孔隙率的方法。在图像分析之前通过传统方法进行孔隙率分析的立体学研究，这是耗时且缺乏准确性。所提出的方法通过计算孔隙账户的整个样本的一部分来确定孔隙率。上述方法中涉及的步骤是通常用于图像处理和分析的一系列上下文，非语境和形态学操作。该程序在砂岩和石灰石岩石样品的薄片上进行了测试。结果以总孔隙率的形式计算，包括在岩石中观察到的所有类型孔隙率，包括隔离和连接的孔隙率。所获得的孔隙率也可以称为视觉孔隙率，因为它被从显微照片测定。获得的值表明，所提出的方法可以导致令人满意的结果。获得的孔隙率值可以进一步用于确定储层的其他重要特性，如渗透率。

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