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A Novel Analytical Model for Pore Volume Compressibility of Fractal Porous Media

机译:分形多孔介质的孔隙卷压缩性新的分析模型

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Over the past decades, many scholars have been studying the pore volume compressibility (PVC) of porous media. However, the fundamental controls on PVC of porous media are not yet definitive. Some scholars suggest a negative correlation between PVC and initial porosity, while others suggest a positive correlation. Motivated by this discrepancy, this paper presents a new analytical model to study the PVC of fractal porous media. The predictions are compared with test results and thereby validated to be accurate. In our attempt not only to complement but also to extend the capability beyond available models, the derived model accounts for multiple fundamental variables, such as the microstructural parameters and rock lithology of porous media. Results suggest that, there is a negative correlation between PVC and initial porosity, if all other parameters are fixed, the relationship between initial porosity and PVC is not monotonic. In addition, PVC decreases with rougher pore surfaces and smaller initial minimum pore radius. Besides providing theoretical foundations for quantifying PVC of porous media, this analytical model could be applied to estimate pore structure parameters of porous media using inverse modeling.
机译:在过去的几十年中,许多学者一直在研究多孔介质的孔体积压缩性(PVC)。然而,多孔介质PVC对PVC的根本控制尚不确定。有些学者建议PVC与初始孔隙度之间的负相关,而其他学者则表明阳性相关性。通过这种差异激励,本文提出了一种研究分形多孔介质PVC的新分析模型。将预测与测试结果进行比较,从而验证准确。在我们不仅要补充的尝试,还要扩展可用模型之外的能力,导出的模型考虑了多个基本变量,例如多孔介质的微观结构参数和岩石岩性。结果表明,如果所有其他参数都是固定的,则PVC和初始孔隙率之间存在负相关性,初始孔隙率和PVC之间的关系不是单调的。此外,PVC随着粗孔表面和较小的初始最小孔径半径而降低。除了提供定量多孔介质PVC的理论基础之外,该分析模型可以应用于使用逆建模估计多孔介质的孔结构参数。

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