Rozprawy doktorskie na temat „Injected Volume”

Les injections de fluides liées à l’exploitation de réservoirs géothermiques entraînent bien souvent la réactivation de failles, sous la forme d’un glissement lent ou asismique, déclenchant à son tour des séismes dits induits. Cette thèse est consacrée à une étude numérique du glissement asismique déclenché par injection de fluide. Un modèle FEM y est développé afin de simuler des expériences d’injection effectuées en presse triaxiale. Les simulations présentées dans ce travail permettent de quantifier l’effet du scenario d’injection, de la diffusivité de la faille, des propriétés de frottement et de l’état de contrainte initial sur la dynamique d’expansion du glissement asismique, fournissant un nouveau regard sur les lois d’échelles caractérisant la vitesse de rupture et le moment maximum libéré. L’approche présentée permet de fournir des pistes de réflexion pour améliorer l’évaluation de l’aléa lié à l’exploitation géothermique. Le modèle numérique développé est également validé sur un jeu de données expérimentales, ce qui ouvre des perspectives importantes pour approfondir l’interprétation mécanique des expériences d’injection menées en laboratoire
Fluid injections performed in the framework of geothermal exploitation can reactivate slip on preexisting crustal faults, leading to aseismic slip transients in turn triggering so-called triggered earthquakes. This PhD thesis is a numerical study dedicated to the physical control on the fluid-induced aseismic slip. A hydromechanical FEM is developed to simulate injection experiments performed in a tri-axial cell in the laboratory. The simulations presented allow to quantify the effect of the injection scenario, the hydraulic diffusivity, the fault friction and pre-stress on the dynamics of induced aseismic slip, providing new insights into the scaling laws commonly used to characterize this phenomenon, in particular the rupture speed and the maximum moment released. The approach presented here is thus of importance in the perspective of improving hazard mitigation in the context of geothermal exploitation. The model predictions are also validated on a real experimental dataset, which opens a new avenue to improve the mechanical interpretation of injection experiments in the laboratory

In Diesel engines, the internal flow characteristics in the fuel injection nozzles, such as the turbulence level and distribution, the cavitation pattern and the velocity profile affect significantly the air-fuel mixture in the spray and subsequently the combustion process. Since the possibility to observe experimentally and measure the flow inside real size Diesel injectors is very limited, Computational Fluid Dynamics (CFD) calculations are generally used to obtain the relevant information. The work presented within this thesis is focused on the study of cavitation in real size automotive injectors by using a commercial CFD code. It is divided in three major phases, each corresponding to a different complementary objective. The first objective of the current work is to assess the ability of the cavitation model included in the CFD code to predict cavitating flow conditions. For this, the model is validated for an injector-like study case defined in the literature, and for which experimental data is available in different operating conditions, before and after the start of cavitation. Preliminary studies are performed to analyze the effects on the solution obtained of various numerical parameters of the cavitation model itself and of the solver, and to determine the adequate setup of the model. It may be concluded that overall the cavitation model is able to predict the onset and development of cavitation accurately. Indeed, there is satisfactory agreement between the experimental data of injection rate and choked flow conditions and the corresponding numerical solution.This study serves as the basis for the physical and numerical understanding of the problem. Next, using the model configuration obtained from the previous study, unsteady flow calculations are performed for real-size single and multi-hole sac type Diesel injectors, each one with two types of nozzles, tapered and cylindrical. The objective is to validate the model with real automotive cases and to ununderstand in what way some physical factors, such as geometry, operating conditions and needle position affect the inception of cavitation and its development in the nozzle holes. These calculations are made at full needle lift and for various values of injection pressure and back-pressure. The results obtained for injection rate, momentum flux and effective injection velocity at the exit of the nozzles are compared with available CMT-Motores Térmicos in-house experimental data. Also, the cavitation pattern inside the nozzle and its effect on the internal nozzle flow is analyzed. The model predicts with reasonable accuracy the effects of geometry and operating conditions.
Patouna, S. (2012). A CFD STUDY OF CAVITATION IN REAL SIZE DIESEL INJECTORS [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/14723
Palancia

Un certain nombre d'applications électrostatiques, notamment les dépoussiéreurs électrostatiques, mettent en oeuvre le phénomène de décharge couronne dans les gaz à partir d'électrodes ayant une forte courbure. Ces électrodes injectent des charges dans le gaz et la charge d'espace qui en résulte modifie la distribution du champ électrique. Le but de notre travail a été de développer un code numérique pour déterminer les distributions de champ électrique et de densité de charge dans la configuration lame-plan, la création de charge se faisant par effet couronne sur le bord de la lame.
Nous utilisons la méthode des éléments finis MEF pour résoudre l'équation de Poisson et la méthode des caractéristiques MC pour résoudre l'équation de conservation de la charge. Les deux équations couplées sont résolues par approximations successives en redéfinissant le maillage structuré à chaque itération pour éliminer la diffusion numérique. La redéfinition du maillage structuré est la partie la plus importante du travail. L'algorithme converge bien pour différentes distributions de la charge définies sur la lame injectrice. Les solutions numériques obtenues pour une loi d'injection imposée sur la lame plate donnent des résultats en très bon accord avec les mesures de densité de courant sur l'électrode plane d'un dispositif lame-plan.

L’optimisation des chambres de combustion est généralement réalisée à l'aide d’outils desimulation numérique. Lorsque le carburant est injecté sous forme liquide, la qualité des simulationsdépend en partie de la définition des conditions aux limites imposées pour cette phase à proximité del'injecteur (diamètre, vitesse et flux volumique des gouttes, vitesse de glissement entre phases). Cesconditions aux limites sont généralement définies à partir d'une analyse expérimentale dans desconditions réalistes d’injection, qui fait appel, dans le meilleur des cas, à l’utilisation del’Anémogranulomètre Phase Doppler (PDA). Cependant, cette technique ponctuelle est coûteuse entemps pour une caractérisation globale de l’injecteur et fournit une mesure des flux volumiques avecdes limitations. Il est également difficile d’accéder à des grandeurs telles que la vitesse de la phasegazeuse en présence des gouttes. Pour répondre à cette problématique, il paraît judicieux de mettre enœuvre des techniques de diagnostic optique spatialement résolues. Cette étude consiste à développer des techniques optiques de champ couplant des approches basées sur la diffusion de Mie, sur l'émission fluorescente des gouttes ou de traceurs et utilisant des algorithmes de type PIV, pour caractériser de manière simultanée et quantitative la granulométrie, la vitesse et le flux volumique de la phase dispersée, ainsi que la vitesse de la phase continue dans les brouillards de gouttes au sein d’une configuration réaliste de foyer aéronautique. Une attentionparticulière est portée à l'étude de la précision de la mesure. Ainsi, des comparaisons sont effectuéesavec des bases de données complètes obtenues à l’aide du PDA. L'analyse de ces résultats estconfrontée aux modèles de l'optique physique régissant les phénomènes de fluorescence et dediffusion de la lumière par des particules à l’aide de simulations. Cette démarche nous permetd'interpréter efficacement les résultats obtenus par imagerie directe et de définir les paramètresd'acquisition et de traitement assurant une précision optimale des mesures
The optimization of combustion chambers is generally carried out using numerical simulation tools.When fuel is injected in liquid form, the simulation quality depends on the boundary conditionsimposed to this phase close to the injector (diameter, velocity and volume flux of the droplets, slipvelocity between phases). These boundary conditions are usually set from an experimental analysisunder realistic conditions of injection, which in the best case uses Phase Doppler Anemo-granulometry(PDA). However, this point measurement technique is time consuming for an overall injectorcharacterization and provides a measurement of the volume flux with some limitations. It is alsodifficult to access variables such as the velocity of the gas phase in the presence of droplets. Toaddress this problem, it seems appropriate to implement spatially resolved optical diagnostictechniques. This study consists in the development of optical field techniques which combine approaches based onMie scattering, fluorescent emission from droplets or tracers and use PIV algorithms to characterizesimultaneously and quantitatively size, velocity and volume flux of the dispersed phase, and velocityof the continuous phase in droplet sprays in a realistic configuration of aeronautical injector. Aparticular attention is given to the study of the measurement accuracy. Thus, comparisons are carriedout with complete databases obtained with the PDA. The analysis of these results is faced withphysical optics models governing phenomena of fluorescence and light scattering by particles usingsimulations. This approach allows us to effectively interpret the results obtained by direct imaging anddefine acquisition and processing parameters ensuring optimum accuracy

When estimating a waterflood performance and ultimate recovery, practitioners usually prepare a plot of log of water-oil ratio vs. cumulative production or recovery factor and extrapolate the linear section of the curve to a pre-established economic limit of water production. Following this practice, engineers take the risk of overestimating oil production and/or underestimating water production if the economic limit is optimistic. Engineers would be able to avoid that risk if they knew where the linear portion of the curve finishes. We called this linear portion the "straight-line zone" of simply SLZ. In this research, we studied that ―straight-line zone‖ and determined its boundaries (beginning and end) numerically using mathematics rules. We developed a new procedure and empirical correlations to predict oil recovery factor at any water/oil ratio. The approach uses the fundamental concepts of fluid displacement under Buckley-Leverett fractional flow theory, reservoir simulation, and statistical analysis from multivariate linear regression. We used commercial spreadsheet software, the Statistical Analysis Software, a commercial numerical reservoir simulator, and Visual Basic Application software. We determined generalized correlations to determine the beginning, end, slope, and intercept of this line as a function of rock and fluid properties, such as endpoints of relative permeability curves, connate water saturation, residual oil saturation, mobility ratio, and the Dykstra-Parsons coefficient. Characterizing the SLZ allows us to estimate the corresponding recovery factor and pore volumes injected at any water-oil ratio through the length of the SLZ . The SLZ is always present in the plot of log of water-oil ratio vs. cumulative production or recovery factor, and its properties can be predicted. Results were correlated in terms of the Dykstra-Parsons coefficient and mobility ratio. Using our correlations, practitioners can estimate the end of the SLZ without the risk of overestimating reserves and underestimating water production. Our procedure is also a helpful tool for forecasting and diagnosing waterfloods when a detailed reservoir simulation model is not available.

Thesis (M.S.)--University of Wisconsin--Madison, 1992.
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Thesis (M.S.)--University of Wisconsin--Madison, 1995.
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Thesis (M.S.)--University of Wisconsin--Madison, 2001.
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Thesis (M.S.)--University of Wisconsin--Madison, 2003.
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Thesis (M.S.)--University of Wisconsin--Madison, 2001.
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Thesis (Ph. D.)--University of Wisconsin--Madison, 1992.
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Thesis (M.S.)--University of Wisconsin--Madison, 2001.
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Thesis (M.S.)--University of Wisconsin--Madison, 2002.
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Thesis (M.S.)--University of Wisconsin--Madison, 1996.
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Thesis (M.S.)--University of Wisconsin--Madison, 1994.
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