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基于实验的非均相多孔介质中 NAPL 溶解过程的孔隙网络模型。

Experimentally based pore network modeling of NAPL dissolution process in heterogeneous porous media.

机构信息

Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, Iran.

Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, Iran.

出版信息

J Contam Hydrol. 2020 Jan;228:103565. doi: 10.1016/j.jconhyd.2019.103565. Epub 2019 Nov 6.

Abstract

Practical designs of non-aqueous phase liquids (NAPLs) remediation strategies require reliable modeling of interphase mass transfer to predict the retraction of NAPL during processes such as dissolution. In this work, the dissolution process of NAPL during two-phase flow in heterogeneous porous media is studied using pore-network modeling and micromodel experiments. A new physical-experimental approach is proposed to enhance the prediction of the dissolution process during modeling of interphase mass transfer. In this regard, the normalized average resident solute concentration is evaluated for describing the dissolution process at pore-level. To incorporate the effect of medium heterogeneities, a new experimental factor is considered for enhancing corner diffusion modeling. In addition, capillary desaturation curves (CDCs) are predicted during hydraulic flow modeling to estimate initial residual NAPL saturation. The developed network model can predict residual NAPL saturations and mass transfer rate coefficient for a NAPL-water system at different injection rates and fluid saturations. The evaluated mass transfer rate coefficients using the proposed physical-experimental approach show a significant improvement compared to either mechanistic or empirical methods. The proposed approach in this study can be attractive for possible applications in commercial simulators of contaminant transport in porous media.

摘要

非水相液体(NAPL)修复策略的实用设计需要可靠的相间传质模型来预测 NAPL 在溶解等过程中的收缩。在这项工作中,使用孔隙网络建模和微模型实验研究了多相多孔介质中 NAPL 的溶解过程。提出了一种新的物理-实验方法来增强相间传质模型中溶解过程的预测。为此,评估归一化平均溶质浓度以在孔隙水平上描述溶解过程。为了纳入介质非均质性的影响,考虑了一个新的实验因子来增强角扩散模型。此外,在水力流动建模中预测毛管饱和度曲线 (CDC) 以估计初始残余 NAPL 饱和度。所开发的网络模型可以预测不同注入速率和流体饱和度下 NAPL-水系统的残余 NAPL 饱和度和传质速率系数。与机械或经验方法相比,使用所提出的物理-实验方法评估的传质速率系数有了显著提高。本研究中提出的方法在多孔介质中污染物运移的商业模拟器中可能具有吸引力。

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