Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Este trabalho apresenta uma família de novos métodos numéricos euleriano-lagrangeanos localmente conservativos para leis de conservação hiperbólicas escalares. Estes métodos não utilizam soluções analíticas de problemas de Riemann e são bastante precisos na captura de saltos nas soluções. Estes métodos foram introduzidos, implementados computacionalmente e testados para leis de conservação em uma e duas dimensões espaciais. Foram consideradas as equações de Burgers e Buckley-Leverett. Nossos experimentos numéricos indicaram que os métodos são pouco difusivos e que as soluções não apresentam oscilações espúrias.

Petróleo Brasileiro S.A. / O presente trabalho aborda o comportamento da planta de processamento primário com alimentação por fluxo em padrão de golfadas. O fluxo no sistema de tubulações é descrito por um modelo de parâmetros concentrados, fornecendo as características principais necessárias para o controle da planta, e a resposta dinâmica desta pode então ser analisada. Usando a estratégia de controle tradicional verifica-se que as oscilações de fluxo são transmitidas para as vazões de saída de líquido e gás, para obter uma vazão de saída mais estável é permitida a flutuação de carga no separador dentro de uma tolerância, isto é possível reduzindo a atuação do controlador e estabelecendo um controle adicional diretamente na válvula de entrada. / The present work addresses the behavior of a primary processing plant subjected to slug flow pattern at its entrance. The flow in a pipeline system is described by a simplified concentrated parameter model, which preserves the main physical features that are important to control the plant. The dynamic response of the plant is then analyzed. Using a standard control strategy for the gas liquid separator, it is seen that the flow oscillations are transmitted to the liquid and gas outlets. In order to obtain a more stable outlet flow, the liquid level in the separator is then allowed to fluctuate within a given range, by reducing the effect of the controller constants, and establishing an additional control directly on the inlet entrance valve.

Neste trabalho apresentamos um esquema numérico para a simulação computacional de escoamentos bifásicos, água-óleo, em reservatórios de petróleo. O modelo matemático consiste em um sistema de equações diferenciais parciais não-linear nas incógnitas velocidade, pressão e saturação. Uma quebra de operadores a dois níveis possibilita uma maior eficiência ao método permitindo que a velocidade, fornecida pelo problema de velocidade-pressão, seja atualizada somente para determinados intervalos de tempo associados ao problema de transporte advectivo-difusivo em termos da saturação. O método dos volumes finitos é empregado na resolução numérica do problema de velocidade-pressão e do transporte de massa por advecção e difusão. Na solução do problema de transporte de massa utilizamos limitadores de fluxo na aproximação dos termos advectivos e diferenças centradas para os termos difusivos. O nosso simulador foi validado a partir de confrontações dos seus resultados com as soluções teóricas conhecidas para os problemas unidimensionais, equações de Burgers e de Buckley-Leverett, e com outros resultados numéricos em se tratando do escoamento bifásico água-óleo bidimensional em meios porosos heterogêneos. / A new numerical method is proposed for the solution of two-phase flow problem in petroleum reservoirs. The two-phase (water and oil) flow problem is governed by a pressure-velocity equation coupled to a saturation equation. For computational eficiency an operator spliting technique is used; distinct time steps can be used for the computation of transport and pressure-velocity problems. The finite volume method is used in the numerical solution of the velocity-pressure and mass transport problems. A flux limiter is used for the numerical discretization of the advective terms while centered schemes are employed for the diffusion terms in the mass transport problem. In the validation of our numerical method we compared numerical and theoretical solutions for one dimensional problems, Burgers and Buckley-Leverett equations, and compared our numerical results to others, in the case of oil-water flows in two dimensions for an heterogeneous porous media.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Este trabalho apresenta uma família de novos métodos numéricos euleriano-lagrangeanos localmente conservativos para leis de conservação hiperbólicas escalares. Estes métodos não utilizam soluções analíticas de problemas de Riemann e são bastante precisos na captura de saltos nas soluções. Estes métodos foram introduzidos, implementados computacionalmente e testados para leis de conservação em uma e duas dimensões espaciais. Foram consideradas as equações de Burgers e Buckley-Leverett. Nossos experimentos numéricos indicaram que os métodos são pouco difusivos e que as soluções não apresentam oscilações espúrias.

Petróleo Brasileiro S.A. / O presente trabalho aborda o comportamento da planta de processamento primário com alimentação por fluxo em padrão de golfadas. O fluxo no sistema de tubulações é descrito por um modelo de parâmetros concentrados, fornecendo as características principais necessárias para o controle da planta, e a resposta dinâmica desta pode então ser analisada. Usando a estratégia de controle tradicional verifica-se que as oscilações de fluxo são transmitidas para as vazões de saída de líquido e gás, para obter uma vazão de saída mais estável é permitida a flutuação de carga no separador dentro de uma tolerância, isto é possível reduzindo a atuação do controlador e estabelecendo um controle adicional diretamente na válvula de entrada. / The present work addresses the behavior of a primary processing plant subjected to slug flow pattern at its entrance. The flow in a pipeline system is described by a simplified concentrated parameter model, which preserves the main physical features that are important to control the plant. The dynamic response of the plant is then analyzed. Using a standard control strategy for the gas liquid separator, it is seen that the flow oscillations are transmitted to the liquid and gas outlets. In order to obtain a more stable outlet flow, the liquid level in the separator is then allowed to fluctuate within a given range, by reducing the effect of the controller constants, and establishing an additional control directly on the inlet entrance valve.

Neste trabalho apresentamos um esquema numérico para a simulação computacional de escoamentos bifásicos, água-óleo, em reservatórios de petróleo. O modelo matemático consiste em um sistema de equações diferenciais parciais não-linear nas incógnitas velocidade, pressão e saturação. Uma quebra de operadores a dois níveis possibilita uma maior eficiência ao método permitindo que a velocidade, fornecida pelo problema de velocidade-pressão, seja atualizada somente para determinados intervalos de tempo associados ao problema de transporte advectivo-difusivo em termos da saturação. O método dos volumes finitos é empregado na resolução numérica do problema de velocidade-pressão e do transporte de massa por advecção e difusão. Na solução do problema de transporte de massa utilizamos limitadores de fluxo na aproximação dos termos advectivos e diferenças centradas para os termos difusivos. O nosso simulador foi validado a partir de confrontações dos seus resultados com as soluções teóricas conhecidas para os problemas unidimensionais, equações de Burgers e de Buckley-Leverett, e com outros resultados numéricos em se tratando do escoamento bifásico água-óleo bidimensional em meios porosos heterogêneos. / A new numerical method is proposed for the solution of two-phase flow problem in petroleum reservoirs. The two-phase (water and oil) flow problem is governed by a pressure-velocity equation coupled to a saturation equation. For computational eficiency an operator spliting technique is used; distinct time steps can be used for the computation of transport and pressure-velocity problems. The finite volume method is used in the numerical solution of the velocity-pressure and mass transport problems. A flux limiter is used for the numerical discretization of the advective terms while centered schemes are employed for the diffusion terms in the mass transport problem. In the validation of our numerical method we compared numerical and theoretical solutions for one dimensional problems, Burgers and Buckley-Leverett equations, and compared our numerical results to others, in the case of oil-water flows in two dimensions for an heterogeneous porous media.

Bayesian inference occurs when prior knowledge about uncertain parameters in mathematical models is merged with new observational data related to the model outcome. In this thesis we focus on models given by partial differential equations where the uncertain parameters are coefficient functions belonging to infinite dimensional function spaces. The result of the Bayesian inference is then a well-defined posterior probability measure on a function space describing the updated knowledge about the uncertain coefficient. For decision making and post-processing it is often required to sample or integrate wit resprect to the posterior measure. This calls for sampling or numerical methods which are suitable for infinite dimensional spaces. In this work we focus on Kalman filter techniques based on ensembles or polynomial chaos expansions as well as Markov chain Monte Carlo methods. We analyze the Kalman filters by proving convergence and discussing their applicability in the context of Bayesian inference. Moreover, we develop and study an improved dimension-independent Metropolis-Hastings algorithm. Here, we show geometric ergodicity of the new method by a spectral gap approach using a novel comparison result for spectral gaps. Besides that, we observe and further analyze the robustness of the proposed algorithm with respect to decreasing observational noise. This robustness is another desirable property of numerical methods for Bayesian inference. The work concludes with the application of the discussed methods to a real-world groundwater flow problem illustrating, in particular, the Bayesian approach for uncertainty quantification in practice. / Bayessche Inferenz besteht daraus, vorhandenes a-priori Wissen über unsichere Parameter in mathematischen Modellen mit neuen Beobachtungen messbarer Modellgrößen zusammenzuführen. In dieser Dissertation beschäftigen wir uns mit Modellen, die durch partielle Differentialgleichungen beschrieben sind. Die unbekannten Parameter sind dabei Koeffizientenfunktionen, die aus einem unendlich dimensionalen Funktionenraum kommen. Das Resultat der Bayesschen Inferenz ist dann eine wohldefinierte a-posteriori Wahrscheinlichkeitsverteilung auf diesem Funktionenraum, welche das aktualisierte Wissen über den unsicheren Koeffizienten beschreibt. Für Entscheidungsverfahren oder Postprocessing ist es oft notwendig die a-posteriori Verteilung zu simulieren oder bzgl. dieser zu integrieren. Dies verlangt nach numerischen Verfahren, welche sich zur Simulation in unendlich dimensionalen Räumen eignen. In dieser Arbeit betrachten wir Kalmanfiltertechniken, die auf Ensembles oder polynomiellen Chaosentwicklungen basieren, sowie Markowketten-Monte-Carlo-Methoden. Wir analysieren die erwähnte Kalmanfilter, indem wir deren Konvergenz zeigen und ihre Anwendbarkeit im Kontext Bayesscher Inferenz diskutieren. Weiterhin entwickeln und studieren wir einen verbesserten dimensionsunabhängigen Metropolis-Hastings-Algorithmus. Hierbei weisen wir geometrische Ergodizität mit Hilfe eines neuen Resultates zum Vergleich der Spektrallücken von Markowketten nach. Zusätzlich beobachten und analysieren wir die Robustheit der neuen Methode bzgl. eines fallenden Beobachtungsfehlers. Diese Robustheit ist eine weitere wünschenswerte Eigenschaft numerischer Methoden für Bayessche Inferenz. Den Abschluss der Arbeit bildet die Anwendung der diskutierten Methoden auf ein reales Grundwasserproblem, was insbesondere den Bayesschen Zugang zur Unsicherheitsquantifizierung in der Praxis illustriert.

Les techniques informatiques ont gagné un rôle primordial dans le développement et l'exploitation des ressources d'hydrocarbures naturelles ainsi que dans d'autres opérations liées à des réservoirs souterrains. L'un des problèmes cruciaux de la modélisation de réservoir et les prévisions de production réside dans la présélection des modèles de réservoir appropriés à la quantification d'incertitude et au le calage robuste des résultats de simulation d'écoulement aux réelles mesures et observations acquises du gisement. La présente thèse s'adresse à ces problématiques et à certains autres sujets connexes.Nous avons élaboré une stratégie pour faciliter et accélérer l'ajustement de tels modèles numériques aux données de production de champ disponibles. En premier lieu, la recherche s'était concentrée sur la conceptualisation et l'implémentation des modèles de proxy reposant sur l'analyse de la connectivité, comme une propriété physique intégrante et significative du réservoir, et des techniques avancées du partitionnement de données et de l'analyse de clusters. La méthodologie développée comprend aussi plusieurs approches originales de type probabiliste orientées vers les problèmes d'échantillonnage d'incertitude et de détermination du nombre de réalisations et de l'espérance de la valeur d'information d'échantillon. Afin de cibler et donner la priorité aux modèles pertinents, nous avons agrégé les réalisations géostatistiques en formant des classes distinctes avec une mesure de distance généralisée. Ensuite, afin d'améliorer la classification, nous avons élargi la technique graphique de silhouettes, désormais appelée la "séquence entière des silhouettes multiples" dans le partitionnement de données et l'analyse de clusters. Cette approche a permis de recueillir une information claire et compréhensive à propos des dissimilarités intra- et intre-cluster, particulièrement utile dans le cas des structures faibles, voire artificielles. Finalement, la séparation spatiale et la différence de forme ont été visualisées graphiquement et quantifiées grâce à la mesure de distance probabiliste.Il apparaît que les relations obtenues justifient et valident l'applicabilité des approches proposées pour améliorer la caractérisation et la modélisation d'écoulement. Des corrélations fiables ont été obtenues entre les chemins de connectivité les plus courts "injecteur-producteur" et les temps de percée d'eau pour des configurations différentes de placement de puits, niveaux d'hétérogénéité et rapports de mobilité de fluides variés. Les modèles de connectivité proposés ont produit des résultats suffisamment précis et une performance compétitive au méta-niveau. Leur usage comme des précurseurs et prédicateurs ad hoc est bénéfique en étape du traitement préalable de la méthodologie. Avant le calage d'historique, un nombre approprié et gérable des modèles pertinents peut être identifié grâce à la comparaison des données de production disponibles avec les résultats de... / Computer-based workflows have gained a paramount role in development and exploitation of natural hydrocarbon resources and other subsurface operations. One of the crucial problems of reservoir modelling and production forecasting is in pre-selecting appropriate models for quantifying uncertainty and robustly matching results of flow simulation to real field measurements and observations. This thesis addresses these and other related issues. We have explored a strategy to facilitate and speed up the adjustment of such numerical models to available field production data. Originally, the focus of this research was on conceptualising, developing and implementing fast proxy models related to the analysis of connectivity, as a physically meaningful property of the reservoir, with advanced cluster analysis techniques. The developed methodology includes also several original probability-oriented approaches towards the problems of sampling uncertainty and determining the sample size and the expected value of sample information. For targeting and prioritising relevant reservoir models, we aggregated geostatistical realisations into distinct classes with a generalised distance measure. Then, to improve the classification, we extended the silhouette-based graphical technique, called hereafter the "entire sequence of multiple silhouettes" in cluster analysis. This approach provided clear and comprehensive information about the intra- and inter-cluster dissimilarities, especially helpful in the case of weak, or even artificial, structures. Finally, the spatial separation and form-difference of clusters were graphically visualised and quantified with a scale-invariant probabilistic distance measure. The obtained relationships appeared to justify and validate the applicability of the proposed approaches to enhance the characterisation and modelling of flow. Reliable correlations were found between the shortest "injector-producer" pathways and water breakthrough times for different configurations of well placement, various heterogeneity levels and mobility ratios of fluids. The proposed graph-based connectivity proxies provided sufficiently accurate results and competitive performance at the meta-level. The use of them like precursors and ad hoc predictors is beneficial at the pre-processing stage of the workflow. Prior to history matching, a suitable and manageable number of appropriate reservoir models can be identified from the comparison of the available production data with the selected centrotype-models regarded as the class representatives, only for which the full fluid flow simulation is pre-requisite. The findings of this research work can easily be generalised and considered in a wider scope. Possible extensions, further improvements and implementation of them may also be expected in other fields of science and technology.

This thesis discusses the optical diagnostics of electrical motor parts using a 3D scanner. It describes the construction of electrical induction motors, their heat losses, cooling and refrigeration systems that may be used by such motors. It approaches the possibilities of heat recording and briefly explains the 3D scanner’s principal. It also introduces the simulation program ANSYS which uses the finite element method. This thesis shows the post processing of the digitalized object and the simulations and compares the simulation and measurement results. The final part is devoted to the analysis of the obtained results.

The aim of this project is using the CAE system to analyze the distribution of the temperature profile brazing furnace DIMA 0180. To create the model is used SolidWorks Premium 2012. The simulation is performed using the Flow Simulation. This work builds on the knowledge diploma thesis by Martin Procházka titled The effect of different heat capacities and components on the longitudinal temperature profile for reflow soldering. We start from the knowledge of heat transfer, especially of heat conduction and radiation, which appear in the furnace.