A Comprehensive Study on the Process of Greenhouse Gas Sequestration Based on a Microporous Media Model

Carbon dioxide geological sequestration is an effective method to reduce the content of greenhouse gases in the atmosphere of our planet.This process can also be used to improve the production of oil reservoirs by mixing carbon dioxide and crude oil.In the present study,a differential separation experiment(DL)based on actual crude oil components is used to simulate such a process.The results show that after mixing,the viscosity and density of reservoir fluid decrease and the volume coefficient increase,indicating that the pre buried gas induces fluid expansion and an improvement of the fluid rheological properties.These effects are interpreted using a pore scale model based on real scanning electron microscopy(SEM).The results show that increasing the pressure and reducing the viscosity are beneficial to increasing the micro oil displacement efficiency.Moreover,these effects can improve the production in the target area and slow down the decline of the formation pressure.Furthermore,in the case of fracture development in the reservoir(due to CO_(2)injection before exploitation),the risk of gas channelling,induced by the displacement pressure difference between injection and production wells,is avoided.

Digital image processing of saturation for two-phase flow in planar porous media model

In this paper, the accuracy of estimating stained non-wetting phase saturation using digital image processing is examined, and a novel post-processing approach for calculating threshold is presented. In order to remove the effect of the background noise of images and to enhance the high-frequency component of the original image, image smoothing and image sharpening methods are introduced. Depending on the correct threshold, the image binarization processing is particularly useful for estimating stained non-wetting phase saturation. Calculated saturation data are compared with the measured saturation data during the two-phase flow experiment in an artificial steel planar porous media model. The results show that the calculated saturation data agree with the measured ones. With the help of an artificial steel planar porous media model, digital image processing is an accurate and simple method for obtaining the stained non-wetting phase saturation.

A Comprehensive Mixed Media Model for Boosting Automobile Dealer Visits

This paper validates the effectiveness of a comprehensive mixed media model for effective advertising designed to bring customers into auto dealerships by use of their AIDA （attention, interest, desire, action） model and statistical science to quantitatively assess the effectiveness of various advertising methods using television, newspapers, flyers, direct mail, public transportation, and the internet. This model is applied to a dealership representing a well-known automaker, where its effectiveness is verified.

Review of permeability evolution model for fractured porous media

The ability to capture permeability of fractured porous media plays a significant role in several engineering applications, including reservoir, mining, petroleum and geotechnical engineering. In order to solve fluid flow and coupled flow-deformation problems encountered in these engineering applications,both empirical and theoretical models had been proposed in the past few decades. Some of them are simple but still work in certain circumstances; others are complex but also need some modifications to be applicable. Thus, the understanding of state-of-the-art permeability evolution model would help researchers and engineers solve engineering problems through an appropriate approach. This paper summarizes permeability evolution models proposed by earlier and recent researchers with emphasis on their characteristics and limitations.

Thermal stretching in two-phase porous media: Physical basis for Maxwell model

An alternate yet general form of the classical effective thermal conductivity model （Maxwell model） for two-phase porous materials is presented, serving an explicit thermo-physicM basis. It is demonstrated that the reduced effective thermal conductivity of the porous media due to non-conducting pore inclusions is caused by the mechanism of thermal stretching, which is a combi- nation of reduced effective heat flow area and elongated heat transfer distance （thermal tortuosity）.

A Model of Spontaneous Chronic Otitis Media with Effusion in Mice with ENU Induced Mutations

Background Chronic otitis media(COM) is a significant clinical problem.Understanding the mechanisms of COM is critical for its control and treatment.However,little is known of the processes leading to COM as a result of lack of animal models of N-ethyl-N-nitrosourea(ENU) induced mutations in otitis media with effusion(OME).Methods Otoscopy and auditory brain response(ABR) evaluation were carried out under sedation in Nmf391nmf/nmf mice of 2,4,6 and 8 months of age.The mice were killed for study of middle and inner ear pathology.Results Tympanic membrane visualization and ABR thresholds in 1-to 8-month-old Nmf391nmf/nmf mice showed spontaneous OME and inner ear diseases in approximately 100% of the animals.The significant elevation of ABR thresholds suggested a sensorineural component in hearing loss in addition to the conductive loss.Middle and inner ear histology showed various degrees of outer hair cells loss and middle ear inflammation in all the mice,but no inflammation cells in the inner ear.The ABR threshold at 32 kHz was significantly elevated.Conclusions This study shows histopathologic changes in the Nmf391nmf/nmf mouse model of COM with effusion that have not been reported in human COM.This ENU induced mutation model of COM will be valuable for the characterization of middle ear inflammation and inner ear disease processes that are induced by middle ear infections.We propose that COM with effusion in this ENU induced mutation model is the cause of the cochlea hair cells damage.

A Novel Cross-Media Layered Semantic Mining Model

This paper presents a cross-media semantic mining model （CSMM） based on object semantic. This model obtains object-level semantic information in terms of maximum probability principle. Then semantic templates are trained and constructed with STTS （Semantic Template Training System）, which are taken as the bridge to realize the transition from various low-level media feature to object semantic. Furthermore, we put forward a kind of double layers metadata structure to efficaciously store and manage mined low-level feature and high-level semantic. This model has broad application in lots of domains such as intelligent retrieval engine, medical diagnoses, multimedia design and so on.

Study of the permeability characteristics of porous media with methane hydrate by pore network model

The permeability in the methane hydrate reservoir is one of the key parameters in estimating the gas production performance and the flow behavior of gas and water during dissociation.In this paper,a three-dimensional cubic pore-network model based on invasion percolation is developed to study the effect of hydrate particle formation and growth habit on the permeability.The variation of permeability in porous media with different hydrate saturation is studied by solving the network problem.The simulation results are well consistent with the experimental data.The proposed model predicts that the permeability will reduce exponentially with the increase of hydrate saturation,which is crucial in developing a deeper understanding of the mechanism of hydrate formation and dissociation in porous media.

Research on the Model of Consumer Health Information Seeking Behavior via Social Media

Purpose: We aim to create a model of consumer health information seeking behavior via social media, then to have a better understand of it. After that further efforts should be made to provide targeted recommendations for media managers to promote health communication via social media. Methods: Our custom model was derived from literature review, empirical research was tested by the use of questionnaire investigation, and then the collected data were analyzed by structural equation model tool SmartPLS. Finally, the custom model was modified according to the experimental results of SmartPLS. Results: A total of 239 (66.39%) of the respondents were female and 121 (33.61%) were male. The maximum of two stages of age were 18 - 29 (70.56%), 30 - 39 (13.89%). Wechat (60.28%), QQ Zone (55.22%), Micro-blog (48.89%) were the most commonly used social media to obtain health information. About 44.72% of respondents used social media to obtain health information multiple times a day. The whole numerical values of AVE, cronbach’s alpha, CR and square roots of AVE were above the benchmarks of themselves and showed great reliability and validity. All the 11 hypotheses had obvious statistical significance, the P-value of eight path coefficients exhibited <0.001, one path coefficient exhibited <0.01 and two path coefficients exhibited <0.05. Conclusions: A suitable model of consumer health information seeking behavior via social media was created and some inner relationships were found. Namely, gratification of health information and its platform had a positive effect on attitudes toward health information seeking behavior. Health information literacy and health status were proved to have a significant influence on attitudes toward health information seeking behavior, subject norms and perceived behavioral control respectively. In addition, attitudes toward the health information seeking behavior, subject norms and perceived behavioral control were proved to positively associate with health information seeking behavior intention.

A fully coupled thermo-hydro-mechanical model for unsaturated porous media

In examining potential host rocks for such purposes as the disposal of high-level radioactive wastes,it is important to understand the coupled thermo-hydro-mechanical（THM） behavior of a porous medium.A rigorous and fully unified coupled thermo-hydro-mechanical model for unsaturated porous media is required to simulate the complex coupling mechanisms involved.Based on modified Darcy＇s and Fourier＇s laws,equations of mechanical equilibrium,mass conservation and energy conservation are derived by introducing void ratio and volumetric liquid water content into the model.The newly derived model takes into account the effects of temperature on the dynamic viscosity of liquid water and void ratio,the influence of liquid flow on temperature gradient（thermo-osmosis）,the influence on mass and heat conservation equations,and the influence of heat flow on water pressure gradient and thermal convection.The new coupled THM constitutive model is constructed by a finite element program and is used to simulate the coupled behavior of a tunnel during excavation,ventilation and concrete lining stages.Oil and gas engineering,underground disposal of nuclear waste and tunnel engineering may be benefited from the development of the new model.

Study on the Leukocyte Filtration Model of Nonwoven Media

The filtration coefficient before filtration (λ-0)is intro-duced and a mathematical model for the leukocyte filtra-tion process, which relates to the filtration efficieney,capacity and leukoeyte concentration, filter thickness and fliter surface area, is established according to the mass balance for particles in a filter and the particle concen-tration decrease per unit of filter depth. The model can be uded to calculate the filtration efficiency or capacity.It is found that the filtration performance observed dur-ing the experiments could be explained well by the mod-el.The established model can be applied to the design and optimization of ungrafted and grafted melt blown nonwoven filtration materials.

基于LBM的典型建筑布局树木风环境模拟

在建筑方案设计阶段定量评估景观绿植对建筑风环境影响,对于提高行人区域热舒适性具有重要实践意义。结合格子玻尔兹曼计算流体力学方法和多孔介质模型,开展了边界层流场-建筑-树木耦合模拟和关键参数验证,针对城市街道区域典型矩形建筑平面布局存在的风速加速现象,开展树木挡风效应分析。研究结果表明:模拟方法能够重现出与试验吻合一致的树木尾流区平均风速和湍流特征;基于不同阻力系数的树木透孔率对树木背风区下游1H~3H范围内挡风效应影响明显;基于等效原则提出的圆柱体简化模型能够计算出与树木原型一致的挡风效应变化规律;建筑两侧和迎风端布置合理间距的树木能够减小矩形建筑两侧风速加速比和加速区域面积,可以通过经济合理的树木布置方案实现建筑周围风环境舒适度优化和通风廊道畅通。研究成果可应用于景观植被风环境优化设计,为方案设计阶段绿色建筑自然通风评估提供新的计算参考。

Structuring an Ontology for Mathematical Modelling Wastewater Flow through Porous Media

Single or multi-layer infiltration rate models describe water penetration into soil porous zone at a variety of comparable complexity levels. Commonly, those models are indicating a route leading from general to more specific case depending on the mathematical structure and the simulated ongoing phenomenon. For the purpose of wastewater flow quantification through porous media, an algorithmic procedure was developed which includes certain interconnected activity stages and decision nodes. Furthermore, a schematic cross shaped representation of the infiltration rate models’ ontology is presented within a route, leading from general to more specific models and evaluation criteria are introduced to determine highest ranking and thus the best model amid those placed on the horizontal axis of the cross shaped scheme, via a simple Multi-Criteria Analysis Decision Making.

热风黏合烘箱有限元仿真分析与结构优化

为研究和提升热风黏合烘箱内部流场和温度场的均匀性,采用有限元分析方法对烘箱内部流场进行了仿真分析与优化。使用SolidWorks建立了烘箱流体域三维模型,根据烘箱工作时条件设定仿真计算的边界条件,通过实验测量得到纤维网的流阻数值,设定流阻相同的多孔介质模型代替纤维网实际结构,利用Fluent软件对烘箱内部流体域模型进行仿真计算,通过实验验证了仿真建模及计算的正确性。仿真结果表明:现有结构的烘箱上风道内流场不匀,纤维网表面温度场均匀性较差,针对仿真结果反映出的问题对烘箱结构进行了优化;优化后的烘箱仿真结果显示烘箱内部流场均匀性提升,纤维网上表面温度的总体均匀度由86.43%提升到93.06%。对烘箱进行结构优化后不仅提升了烘箱内部整体流场和温度场的均匀性,同时有利于降低烘箱的能耗。

A Mathematical Model for EstimatingElectroosmosis Effect on Water Displacing Oil Process in Porous Media and Its Application

A mathematical model based on Darcy's law and electroosmosis equation in porous media is developed and two parameters named electroosmosis coefficient K, and relative electroosmosis coefficient Kre are used to calculate the curves of Ke and Krevs. water saturation whick are employed to estimate the effect of electroosmosis on water displacing oil process in sandstone cores. Under the conditions of constant injection rate displacement and constant electrical potential gradient, the method to calculate parameters K. and K. at different water saturation is developed and unsteadystate displacement experin.ental data under the effect of electroosmosis are used to determine the Parameter values. The results show that K, and K, are increased firstly with increasing water saturation and then decreased. This trend shows the inter-relationship between electroosmosis and the water displacing oil process. Finally, application of the model to ECMP mechauics studies and ac-tual reservoirs is analyzed in this peper.

Two-Dimensional Modeling of the NAPL Dissolution in Porous Media: Heterogeneities Effects on the Large Scale Permeabilities and Mass Exchange Coefficient

In this paper, we are interested by the dissolution of NAPL (Non-Aqueous Phase Liquid) contaminants in heterogeneous soils or aquifers. The volume averaging technique is applied to 2D systems with Darcy-scale heterogeneities. A large-scale model is derived from a Darcy-scale dissolution model in the case of small and large Damkholer numbers, i.e., for smooth or sharp dissolution fronts. The resulting models in both cases have the mathematical structure of a non-equilibrium dissolution model. It is shown how to calculate the resulting mass exchange and relative permeability terms from the Darcy-scale heterogeneities and other fluid properties. One of the important finding is that the obtained values have a very different behavior compared to the Darcy-scale usual correlations. The large scale correlations are also very different between the two limit cases. The resulting large-scale models are compared favorably to Darcy-scale direct simulations.

基于多模态掩码Transformer网络的社会事件分类

多模态社会事件分类的关键是充分且准确地利用图像和文字2种模态的特征。然而,现有的大多数方法存在以下局限性:简单地将事件的图像特征和文本特征连接起来,不同模态之间存在不相关的上下文信息导致相互干扰。因此,仅仅考虑多模态数据模态间的关系是不够的,还要考虑模态之间不相关的上下文信息(即区域或单词)。为克服这些局限性,提出一种新颖的基于多模态掩码Transformer网络(MMTN)模型的社会事件分类方法。通过图-文编码网络来学习文本和图像的更好的表示。将获得的图像和文本表示输入多模态掩码Transformer网络来融合多模态信息,并通过计算多模态信息之间的相似性,对多模态信息的模态间的关系进行建模,掩盖模态之间的不相关上下文。在2个基准数据集上的大量实验表明:所提模型达到了最先进的性能。

“微时代”背景下研究生网络思政工作的典型经验与创新路径

习近平总书记在全国高校思政工作会议上明确指出:“要运用新媒体技术使工作活起来,推动思想政治工作传统优势同信息技术高度融合,增强时代感和吸引力。”网络思政教育旨在充分利用网络平台、新媒体等工具有针对性地对学生开展思想政治教育。研究生存在学业与生活双重压力,具有科研任务多、在校时间短与思政课程少的特点,亟须创新和优化研究生网络思政工作,丰富教育形式。“微时代”以“微工具”为传播媒介,以“小内容、大传播”为特点,强调教育双方实现平等、多元、快捷的“微交流”“微合作”。基于此,在“微时代”背景下,创新研究生网络思政工作,就要求转变教育模式、优化教育内容、创新沟通机制,以“微工具”“微交流”“微合作”实现“微教育”,进而提升研究生思政工作效能。

泥质低渗水合物降压开采特性与模型研究

天然气水合物(又名可燃冰)是海底储层常见的一种非常规浅层气藏,具备泥质、低渗等特点,实现其安全高效开发具有重要现实意义。在水合物开采过程中,气体渗流及水合物分解行为都会发生动态变化,两者的复杂耦合作用决定了水合物储层的产气效率,但目前缺乏对其动态耦合预测模型的研究。因此,需要进一步分析天然气水合物储层降压开采过程中气体渗流与水合物分解行为。使用南海土在岩心夹持器内重塑了泥质低渗的水合物储层,探明了降压开采特性以及储层压力的影响,并创新性提出包含储层压力、水合物分解以及产气流量等关键指标的水合物降压开采预测模型,实现了泥质低渗水合物储层渗流与分解时空关联与高精度预测,相关系数(R2)均为99%以上。本结果可为实地优化调控降压开采水合物提供理论指导。