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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >A scale-consistent method for imaging porosity and micrite in dual-porosity carbonate rocks
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A scale-consistent method for imaging porosity and micrite in dual-porosity carbonate rocks

机译:双孔隙岩岩中的成像孔隙率和微型成像的规模 - 一致的方法

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Unlike many other clastic rocks, relating velocity and permeability to porosity for micrite-bearing carbonate rocks has been largely unsuccessful. Recent studies have shown that additional parameters, most notably the distribution and/or proportion of micrite, can be used to parameterize the velocity and permeability behavior. However, there is currently no scale-consistent, 3D methodology for differentiating macroporosity and microporosity from the total porosity measured on bench-top laboratory equipment. Previous studies estimated microporosity and micrite content by combining total porosity measurements conducted on whole 50 mm cores with measurements of phase volumes on 1 mm digital rocks (i.e., scale-inconsistent). As a step forward from those, we imaged dual-porosity carbonate rocks using X-ray microcomputed tomography and then leveraged a recently developed, optimization-based technique, called data-constrained modeling, to map the macroporosity and microporosity distribution of our samples. We evaluate the volumetric proportions of macropores, micropores, and coarse-grained calcite as a function of micrite content - with their respective uncertainties - all measured on the same digital rock and with the same method. Finally, we determine how measurements of the volumetric phase proportions could be extended using standard effective medium models to predict reservoir physical properties. The sensitivity of these models to the proportion of micrite and microporosity within the micrite is evidence that the nonuniqueness among permeability, velocity, and porosity that is commonly observed of micrite-bearing carbonate rocks can be explained by a variation of micrite content and microporosity at a similar porosity.
机译:与许多其他碎片岩石不同,对微型碳酸盐岩石的孔隙率有关的速度和渗透性,这一直不成功。最近的研究表明,额外的参数,最值得注意的是微型分布和/或比例,可用于参数化速度和渗透性行为。然而,目前没有规模一致的3D方法,用于区分大孔隙度和微孔,从而在台式实验室设备上测量的总孔隙率。以前的研究通过将整个50mm核心的总孔隙度测量与1mm数字岩石上的相位容积的测量相结合来研究估计的微孔率和微孔含量。作为前进的一步,我们使用X射线微仿性断层扫描成像双孔隙率岩石,然后利用最近开发的基于优化的技术,称为数据约束建模,以映射我们样品的宏观度和微孔分布。我们评估大型麦克波雷,微孔和粗粒化方解石的体积比例,作为微型含量的函数 - 具有各自的不确定性 - 所有这些都在相同的数字岩石上测量和具有相同的方法。最后,我们确定使用标准有效介质模型可以延长体积相比例的测量值,以预测储层物理性质。这些模型对微孔和微孔的比例的敏感性是微孔和微孔的比例的证据表明,通过微金属含量和微孔的变化可以解释渗透性,速度和孔隙率之间通常观察到的渗透性,速度和孔隙率之间的浊度。类似的孔隙度。

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