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Iterative Coupled Experimental-numerical Evaluation of Dispersivity in Fractured Porous Media Using Micromodel System

机译:使用微模型系统裂缝多孔介质分散性的迭代耦合实验数值评价

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In this study a new iterative algorithm is developed to evaluate dispersivity in fracture and matrix, distinctly. The novelty of proposed algorithm is using mathematical model of solute transport in fractured porous media coupled with experimental data iteratively.Afractured glass micromodel has been designed to visualize the interaction between fracture and matrix during displacement of n-Decane by n-Octane at constant rate. The similarity between numerical and experimental model has been enhanced by reducing the assumptions which were applied in previous related studies. The iteration is performed on velocity components of solute transport and longitudinal as well as transversal dispersivity values. The results of this work illustrate the successful application of a new coupled numerical-experimental iterative algorithm for evaluating solute dispersivities in fractured porous media. The major significance of this work is the robustness of proposed iterative algorithm which results same dispersivity values at different initial guesses. The proposed method could be useful for studying effective parameters such as injection rate and geometry of fracture and matrix on the dispersivity value, and the behavior of dispersivity value with time and traveled distance, which are still subject of challenge in literature.
机译:在这项研究中,开发了一种新的迭代算法,以评估骨折和基质中的分散性,明显。所提出的算法的新颖性是使用骨折多孔介质中溶质传输的数学模型与实验数据溶液迭代。玻璃微模型玻璃微偶据设计用于在恒定速率下通过N-癸烷的N-癸烷位移期间裂缝和基质之间的相互作用。通过减少在先前相关研究中应用的假设来提高数值和实验模型之间的相似性。对溶质传输和纵向以及横向分散性值的速度分量进行迭代。该工作的结果说明了一种成功地应用了一种新的耦合数值实验迭代算法,用于评估裂缝多孔介质中的溶质分散性。这项工作的主要意义是所提出的迭代算法的稳健性,其在不同初始猜测中导致相同的分散性值。所提出的方法可用于研究诸如裂缝和矩阵的注射速率和几何形状的有效参数,以及随时间和行驶距离的分散性值的行为,这仍然存在文献中的挑战。

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