微孔中简单流体混合物扩散系数的分子动力学模拟与关联

为了了解简单流体混合物在微孔介质中的流动和传递性质,对微孔中氩和氪流体混合物的扩散系数进行了计算机模拟和关联模型研究.运用平衡分子动力学方法模拟了宏量条件下饱和氩流体的扩散系数和恒温氪流体的扩散系数,模拟值与文献实验值符合良好,从而程序的正确性得到验证.然后,采用类似Bitsanis等人的方法模拟了平板湿壁微孔中氩和氪等摩尔流体混合物在不同对比温度、不同对比密度以及不同对比孔径条件下的扩散系数,发现孔径很小的时候扩散系数会急剧的增大.同时基于这些模拟值,参考CE理论和Heyes关系式,以对比温度、对比密度以及对比孔径为变量,关联出两个简单流体等摩尔混合物在微孔中扩散系数的计算模型.模型的计算结果与计算机模拟值能够较好地吻合.     

硅酸盐岩石微孔中流体混合物扩散系数的分子动力学模拟

用计算机模拟研究了受限于硅酸盐岩石微孔中等摩尔氩氪流体混合物的扩散系数.为验证程序的正确性,分别将宏量条件下氩和氪的分子动力学模拟值与文献实验值进行了比较.然后,对受限于硅酸岩平板壁面中氩氪流体混合物的扩散系数进行了模拟计算.根据计算结果提出了五个不同对比壁间距下氩氪混合流体扩散系数的经验模型,这些模型可应用于工业估算.     

微孔中简单流体扩散行为的分子动力学模拟研究

用分子动力学模拟方法研究了受限在微孔中的简单流体氩的扩散行为,考察了微孔类型、孔径、温度和密度对微孔中流体扩散系数的影响.研究发现,微孔中流体的扩散系数均小于体相流体,并且随孔径的减小而减小,同时沿孔道或狭缝方向的扩散系数分量远大于沿孔径方向的分量,并且流体在通道型微孔中的扩散系数小于在狭缝型微孔中的扩散系数,温度和密度也是影响微孔中扩散的重要因素.     

纺丝组件砂腔中流体流动性的冷态模型研究

自制冷态模型实验装置,针对熔融纺丝组件中的流体流动特征进行研究。实验结果表明:利用葡萄糖浆溶液作为PA6熔体的模拟介质是可行的,糖浆粘度与PA6熔体粘度有相似的变化规律及一定条件下粘度值相近,糖浆粘度随着剪切速率的增加而出现剪切变稀现象;在温度为21℃时,糖浆粘度与265℃时PA6熔体粘度接近,表明常温下,用糖浆作为模拟介质是可行性的;通过模拟介质在透明纺丝组件中流动特性的研究表明:流体在纺丝组件的砂腔中流动并不是理想的平推流,在压盖下方物料停留时间较四周长,不利于物料性质的均匀性。此研究实验结果为优化纺丝组件奠定了一定的基础。     

巨正则系综Monte Carlo模拟方法确定活性炭的微孔尺寸

根据299K下甲烷在活性炭中的吸附实验数据,通过调节狭缝微孔的孔宽参数,利用巨正则系综MonteCarlo(GCEMC)方法得到不同孔宽下流体的微观结构以及吸附等温线.比较并拟合模拟结果和实验数据,确定了活性炭微孔的平均孔宽,为下一步求解微孔尺寸分布以及为预测吸附剂在不同温度下吸附不同吸附质分子时的吸附性能提供了基础与指导.模拟中,甲烷分子采用单点Lennard-Jones球型分子模型,活性炭用狭缝孔来近似表征,流体分子与单个狭缝墙的相互作用采用著名的Steele的10－4-3势能模型.模拟表明,此方法为考察介孔材料的微孔分布以及微孔平均孔宽提供了新的思路.     

层柱状微孔材料吸附存储天然气的Monte Carlo模拟

采用巨正则系综MonteCarlo方法模拟了天然气中主要成分甲烷在层柱状微孔材料中T=300K下的吸附存储,在模拟中层柱状微孔采用Yi等人建立的柱子均匀分布在两炭孔墙之间的模型来表征。甲烷分子采用Lennard-Jones球型分子模型,炭孔墙采用Steele的10-4-3模型,对孔宽为1.36nm的层柱微孔,模拟了四个不同孔率的层柱材料吸附甲烷的情形。得到了孔中流体的局部密度分布以及吸附等温线,对比不同孔率下甲烷的吸附量,得到了此情形吸附甲烷的较佳孔率为0.94。     

巨正则系综Monte Carlo模拟方法研究活性炭的微孔尺寸

根据299K下甲烷在活性炭中的吸附实验数据，通过调节狭缝微孔的孔宽参数，利用巨正则系综Monte Carlo（GCEMC）方法得到不同也宽下流体的微观结构以及吸附等温线，比较并拟合模拟结果和实验数据，确定了活性炭微孔的平均孔宽，为下一步求解微孔尺寸分布以及为预测吸附剂在不同温度下吸附不同吸附质分子的吸附性能提供了基础与指导，模拟，甲烷分子采用单点Lennard-Jones球型分子模型，活性炭用狭缝孔来近似表征，流体分子与单个狭缝墙的相互作用采用著名的Steele的10－4－3势能模型，模拟表明，此方法为考察介孔材料的微孔分布以及微孔平均孔宽提供了新的思路。     

不同类型表面活性剂对纳米SiO2流体粘度的影响

系统地研究了不同类型的表面活性剂对低浓度纳米SiO2流体粘度的影响规律,并在此基础上深入探讨了不同碳链长度的阳离子和非离子表面活性剂对纳米SiO2流体粘度的影响。结果表明,阴离子表面活性剂十二烷基苯磺酸钠(SDBS)对纳米流体粘度的影响较小,其相对粘度值维持在1.23左右;而阳离子表面活性剂十四烷基三甲基溴化铵(TTAB)、十六烷基三甲基溴化铵(CTAB)、十八烷基三甲基溴化铵(OTAB)、十六烷基氯化吡啶(CPC)、非离子表面活性剂OP-8、OP-10和两性离子表面活性剂DXS14、DXS18对纳米流体粘度的变化影响较大,其最大相对粘度值分别能达到3.42、1.82和8.87。同时也发现,阳离子表面活性剂碳链越长,纳米流体最高粘度值越大,且纳米流体最高粘度所对应的表面活性剂浓度均在其临界胶束浓度值附近。     

分子在纯硅β分子筛内扩散的随机行走模型

建立了一个β分子筛上分子扩散的模型. 该模型中, 分子在β分子筛中运动是在不同吸附点位上作无规行走. β孔道的拓扑结构和在两种孔道吸附位上不同的跃迁几率导致分子沿两个主轴方向扩散, 扩散系数存在一个关联关系; 分子动力学对不同温度下苯分子在β分子筛上扩散模拟证实了这一关联关系. 氩原子在不同作用半径下的动力学模拟表明, 分子作用半径大小是满足随机行走假设的重要条件, 即该模型要求扩散分子作用半径足够大, 与分子筛孔径相近.     

高温高压下黑云母中氩扩散研究

对黑云母在700—1000℃和0.5～2.0GPa温压条件下进行了氩扩散的动力学实验研究。根据不同扩散模型计算了各种温压下的扩散系数和活化能。结果表明,压力对扩散起明显作用,压力升高导致氩扩散系数降低、活化能增加,其作用和温度相反。计算了压力、封闭温度和冷却速率三者之间的关系。推测在某种低温高压条件下,氩有可能进行从介质到矿物的反向扩散,使矿物获得过剩氩。     

Shear viscosity of simple fluids in porous media: molecular dynamic simulations and correlation models

Equilibrium molecular dynamic simulations have been used to calculate the shear viscosity of liquid argon in macrovolume system and in porous media at different temperatures, densities and pore widths. On the other hand, based on the Chapman–Enskog theory and Heyes relationships, two correlation models which can describe the viscosity of simple liquids in porous media are proposed as a function of the reduced temperature, density and pore width. The validity of the models is evaluated by comparing the calculated viscosity to simulation data.     

The rheology of pseudoplastic fluids in porous media using network modeling

This paper considers the rheology of pseudoplastic (shear thinning) fluids in porous media. The central problem studied is the relationship between the viscometric behavior of the polymer solution and its observed behavior in the porous matrix. In the past, a number of macroscopic approaches have been applied, usually based on capillary bundle models of the porous medium. These simplified models have been used along with constitutive equations describing the fluid behavior (usually of power law type) to establish semiempirical macroscopic equations describing the flow of non-Newtonian fluids in porous media. This procedure has been reasonably successful in correlating experimental results on the flow of polymer solutions through both consolidated and unconsolidated porous materials. However, it does not allow an interpretation of polymer flow in porous media in terms of the flows on a microscopic scale; nor does it allow us to predict changes in macroscopic behavior resulting from variations at a microscopic level in the characteristics of the porous medium such as pore size distribution. In this work, we use a network approach to the modeling of non-Newtonian rheology, in order to understand some of the more detailed features of polymjer flow in porous media. This approach provides a mathematical bridge between the behavior of the non-Newtonian fluid in a single capillary and the macroscopic behavior as deduced from the pressure drop-flow rate relation across the whole network model. It demonstrates the importance of flow redistribution within the elements of the capillary network as the overall pressure gradient varies. As an example of a pseudoplastic fluid in a porous medium, we consider the flow of xanthan biopolymer. This polymer is important as a displacing fluid viscosifier in enhanced oil recovery applications and, for that reason, a considerable amount of experimental data has been published on the flow of xanthan solutions in various porous media.     

Rheological properties of surface-modified nanoparticles-stabilized CO2 foam

This study investigates the rheological properties of surface-modified nanoparticles-stabilized CO₂ foam in porous media for enhanced oil recovery (EOR) applications. Due to the foam pseudo-plastic behavior, the foam apparent viscosity was estimated based on the power law constitutive model. The results show that foam exhibit shear-thinning behavior. The presence of surface-modified silica nanoparticles enhanced the foam bulk apparent viscosity by 15%. Foam apparent viscosity in the capillary porous media was four times higher than that in capillary viscometer, and foam apparent viscosity increased as porous media permeability increases. The high apparent viscosity of the surface-modified nanoparticles-stabilized foam could result in effective fluid diversion and pore blocking processes and enhance their potential applications in heterogeneous reservoir.     

Heterogeneous/homogeneous and inclined magnetic aspect of infinite shear rate viscosity model of Carreau fluid with nanoscale heat transport

The study of the inclined flow along with the heterogeneous/homogeneous reactions in the fluid has been widely used in many industrial and engineering applications, such as petrochemical, pharmaceutical, materials science, heat exchanger design, fluid flow through porous media, etc. The purpose of this study is to present an infinite shear rate viscosity model using the inclined Carreau fluid with nanoscale heat transport. The model considers the effect of inclined angle on the fluid’s viscosity and the transfer of heat at the nanoscale. The result shows that the viscosity of the fluid decreases by increasing the inclination angle and the coefficient of heat transfer also increases with the inclination. The model can be used to predict the viscosity and heat transfer fluid’s behavior in the inclined systems that is widely used in the industrial and engineering applications. The results provide a better understanding of the inclined flow behavior of fluids and the heat transfer at the nanoscale, which can be useful in heat exchanger design, fluid flow through porous media, etc. Greater Infinite shear rate viscosity parameter gives the higher magnitude of Carreau fluid velocity. Moreover, inclined magnetic field reduces the velocity due to Lorentz force. Two numerical schemes are used to solve the model, BVP4C and Shooting.     

Evaluation of the use of capillary numbers for quantifying the removal of DNAPL trapped in a porous medium by surfactant and surfactant foam floods

The capillary number is used to quantify the mobilization potential of organic phases trapped within porous media. The capillary number has been defined in three different forms, according to types of flow velocity and viscosity used in its definition. This study evaluated the suitability of the capillary number definitions representing surfactant and surfactant foam floods by constructing capillary number-TCE saturation relationships. The results implied that the capillary number should be correctly employed, according to scale and fluid flow behavior. This study suggests that the pore-scale capillary number should be used only for investigating the organic-phase mobilization at the pore scale because it is defined by the pore velocity and the dynamic viscosity. The Newtonian-fluid capillary number using the Darcy velocity and the dynamic viscosity may be suitable for quantifying flood systems representing Newtonian fluid behavior. For viscous-force modified flood systems such as surfactant-foam floods, the apparent capillary number definition employing macroscopic properties (permeability and potential gradient) may be used to appropriately represent the desaturation of organic phases from porous media.     

Multicomponent effective medium-correlated random walk theory for the diffusion of fluid mixtures through porous media

Molecular transport in nanoconfined spaces plays a key role in many emerging technologies for gas separation and storage, as well as in nanofluidics. The infiltration of fluid mixtures into the voids of porous frameworks having complex topologies is common place to these technologies, and optimizing their performance entails developing a deeper understanding of how the flow of these mixtures is affected by the morphology of the pore space, particularly its pore size distribution and pore connectivity. Although several techniques have been developed for the estimation of the effective diffusivity characterizing the transport of single fluids through porous materials, this is not the case for fluid mixtures, where the only alternatives rely on a time-consuming solution of the pore network equations or adaptations of the single fluid theories which are useful for a limited type of systems. In this paper, a hybrid multicomponent effective medium-correlated random walk theory for the calculation of the effective transport coefficients matrix of fluid mixtures diffusing through porous materials is developed. The theory is suitable for those systems in which component fluxes at the single pore level can be related to the potential gradients of the different species through linear flux laws and corresponds to a generalization of the classical single fluid effective medium theory for the analysis of random resistor networks. Comparison with simulation of the diffusion of binary CO(2)/H(2)S and ternary CO(2)/H(2)S/C(3)H(8) gas mixtures in membranes modeled as large networks of randomly oriented pores with both continuous and discrete pore size distributions demonstrates the power of the theory, which was tested using the well-known generalized Maxwell-Stefan model for surface diffusion at the single pore level.