Análise e modelagem do escoamento transitório de fluidos de perfuração

Drilling fluids present a thixotropic behavior and they usually gel when at rest. The sol-gel transition is fundamental to prevent the deposit of rock fragments, generated by drilling the well, over the drill bit during eventual stops. Under those conditions, high pressures are then required in order to break-up the gel when circulation is resumed. Moreover, very high pressures can damage the rock formation at the bottom of the well. Thus, a better understanding of thixotropy and the behavior of thixotropic materials becomes increasingly important for process control. The mechanisms that control thixotropy are not yet well defined and modeling is still a challenge. The objective of this work is to develop a mathematical model to study the pressure transmission in drilling fluids. This work presents a review of thixotropy and of different mathematical models found in the literature that are used to predict such characteristic. It also shows a review of transient flows of compressible fluids. The problem is modeled as the flow between the drillpipe and the annular region (space between the wall and the external part of the drillpipe). The equations that describe the problem (mass conservation, momentum balance, constitutive and state) are then discretized and numerically solved by using a computational algorithm in Fortran. The model is validated with experimental and numerical data obtained from the literature. Comparisons between experimental data obtained from Petrobras and calculated by three viscoplastic and one pseudoplastic models are conducted. The viscoplastic fluids, due to the yield stress, do not fully transmit the pressure to the outlet of the annular space. Sensibility analyses are then conducted in order to evaluate the thixotropic effect in pressure transmission.

Comparação do controle do inversor trifásico conectado à rede com filtro LCL considerando o amortecimento passivo e ativo

Distributed generation systems must fulfill standards specifications of current harmonics injected to the grid. In order to satisfy these grid requirements, passive filters are connected between inverter and grid. This work compares the characteristic response of the traditional inductive (L) filter with the inductive-capacitive-inductive (LCL) filter. It is shown that increasing the inductance L leads to a good ripple current suppression around the inverter switching frequency. The LCL filter provides better harmonic attenuation and reduces the filter size. The main drawback is the LCL filter impedance, which is characterized by a typical resonance peak, which must be damped to avoid instability. Passive or active techniques can be used to damp the LCL resonance. To address this issue, this dissertation presents a comparison of current control for PV grid-tied inverters with L filter and LCL filter and also discuss the use of active and passive damping for different regions of resonance frequency. From the mathematical models, a design methodology of the controllers was developed and the dynamic behavior of the system operating in closed loop was investigated. To validate the studies developed during this work, experimental results are presented using a three-phase 5kW experimental platform. The main components and their functions are discussed in this work. Experimental results are given to support the theoretical analysis and to illustrate the performance of grid-connected PV inverter system. It is shown that the resonant frequency of the system, and sampling frequency can be associated in order to calculate a critical frequency, below which is essential to perform the damping of the LCL filter. Also, the experimental results show that the active buffer per virtual resistor, although with a simple development, is effective to damp the resonance of the LCL filter and allow the system to operate stable within predetermined parameters.

Conversão da lactose e síntese de galacto-oligossacarídeos: uma abordagem experimental e teórica

O presente trabalho avaliou, na etapa experimental, um processo simultâneo de catálise e fermentação láctica visando obter um iogurte com potenciais características nutracêuticas e, na sua etapa teórica, estabeleceu uma interlocução entre a vivência experimentalista e a teoria da cinética enzimática, no que se refere à conversão da lactose e à síntese de galactooligossacarídeos (GOS). Na abordagem experimental, para um substrato específico, avaliouse biocatálise conduzida simultaneamente à fermentação, defasando a adição da enzima em relação ao início do processo fermentativo. A fermentação foi realizada a partir de cultura láctica liofilizada comercial contendo dois micro-organismos probióticos, Bifidobacterium animalis e Lactobacillus acidophilus, associados aos micro-organismos característicos do iogurte, Lactobacillus bulgaricus e Streptococcus thermophilus. Foi utilizado um preparado enzimático contendo -galactosidases obtidas de duas origens distintas: Kluyveromyces lactis e Aspergillus niger. Foram avaliados os efeitos da concentração da enzima e do tempo de adição da enzima em um planejamento experimental 2 2 . As respostas foram às concentrações, ao final do processo, de lactose, de GOS, de glicose e de galactose e a hidrólise dos galactooligossacarídeos ao longo do tempo. No que se refere à abordagem teórica, o presente trabalho considerou modelos matemáticos de hidrólise de dissacarídeos e conversão da lactose, em que a inibição foi representada a partir do incremento da concentração dos produtos da reação. No que se refere à conversão da lactose e síntese de GOS, o presente trabalho buscou estabelecer um modelo matemático em que a inibição ocorreu por efeito do incremento das concentrações de glicose e de galactose, comparando-o com os modelos conhecidos na literatura. Verificou-se que o desempenho do modelo obtido no presente trabalho foi robusto em relação às premissas estabelecidas. Na comparação com resultados experimentais de conversão enzimática, o modelo mostrou-se capaz de minimizar o erro e de ajustar-se aos dados experimentais.

Estudo experimental do escoamento bifásico líquido gás em golfadas com leve mudança de direção

Gas-liquid two-phase flow is very common in industrial applications, especially in the oil and gas, chemical, and nuclear industries. As operating conditions change such as the flow rates of the phases, the pipe diameter and physical properties of the fluids, different configurations called flow patterns take place. In the case of oil production, the most frequent pattern found is slug flow, in which continuous liquid plugs (liquid slugs) and gas-dominated regions (elongated bubbles) alternate. Offshore scenarios where the pipe lies onto the seabed with slight changes of direction are extremely common. With those scenarios and issues in mind, this work presents an experimental study of two-phase gas-liquid slug flows in a duct with a slight change of direction, represented by a horizontal section followed by a downward sloping pipe stretch. The experiments were carried out at NUEM (Núcleo de Escoamentos Multifásicos UTFPR). The flow initiated and developed under controlled conditions and their characteristic parameters were measured with resistive sensors installed at four pipe sections. Two high-speed cameras were also used. With the measured results, it was evaluated the influence of a slight direction change on the slug flow structures and on the transition between slug flow and stratified flow in the downward section.

Simulação numérica do escoamento monofásico em uma bomba centrífuga radial

Centrifugal pumps are vastly used in many industrial applications. Knowledge of how these components behave in several circumstances is crucial for the development of more efficient and, therefore, less expensive pumping installations. The combination of multiple impellers, vaned diffusers and a volute might introduce several complex flow characteristics that largely deviate from regular inviscid pump flow theory. Computational Fluid Dynamics can be very helpful to extract information about which physical phenomena are involved in such flows. In this sense, this work performs a numerical study of the flow in a two-stage centrifugal pump (Imbil ITAP 65-330/2) with a vaned diffuser and a volute. The flow in the pump is modeled using the software Ansys CFX, by means of a multi-block, transient rotor-stator technique, with structured grids for all pump parts. The simulations were performed using water and a mixture of water and glycerin as work fluids. Several viscosities were considered, in a range between 87 and 720 cP. Comparisons between experimental data obtained by Amaral (2007) and numerical head curves showed a good agreement, with an average deviation of 6.8% for water. The behavior of velocity, pressure and turbulence kinetic energy fields was evaluated for several operational conditions. In general, the results obtained by this work achieved the proposed goals and are a significant contribution to the understanding of the flow studied.

Qualidade de vida no trabalho da Emater-RN: validação de um instrumento síntese de pesquisa e diagnóstico

The theoretical recital of the present study it is initiated of the evidence that the work occupies an important space in the man s life in way that the majority of the people works and passes great part of its time inside organizati ons. However, it is verified that the relation between man and work is becoming increasingly disagreement a time that the employees had started to complain work s routines, stress, not use all their potential and inadequate work s conditions. It can be observed by the way of Dejours (1994) studies. Thus, as contribution for the quality of work life s (QWL) studies the research developed here objectified to characterize the public employees quality of work life at EMATER -RN taking as reference an instrumen t of research synthesized from the typical academic literature of the subject. The synthesis of an ampler instrument is a necessity not taken care to the literature that treats on the subject but already perceived by some studies like Moraes et al (1990); Rodrigues (1989); Siqueira & Coleta (1989); Moraes et al (1992); Carvalho & Souza (2003); El -Aouar & Souza (2003) and Mourão, Kilimnick & Fernandes (2005); Adorno, Marques & Borges (2005) amongst others. These studies point out weak points of the existing models in the QWL s literature, as well as they recommend the elaboration of a model more flexible, that contemplates Brazilian cultural characteristics, and that contemplates the entire variable studied in the main existing models. For reach this objectiv e the adopted methodology was characterized as a case study with collected data in qualitative and quantitative way. Questionnaires and comments had been used as sources of evidences. These evidences had been tabulated through of statistical package SPSS ( Statistical Package for Social Science), in which the main technique of multivariate analysis used were the factorial analysis. As for the gotten results, it was verified the grouping of the quality of work life s indicators in 11 factors which are: Work s execution, Individual accomplishment, Work s equity, Relation individual and organization, Work s organization, Adequacy of the remuneration, Relation between head and subordinate, Effectiveness of the communication and the learning, Relation between work and personal life, Participation and Effectiveness of the work processes. Whatever to the characterization of the EMATER -RN s quality of work life it was clearly that to the measure that the satisfaction s evaluation with the QWL in the organization walks to intrinsic factors for extrinsic factors this level of satisfaction goes diminishing what points to the importance to improve these extrinsic factors in the institution. In summary it is possible to conclude that the organization studied has offered a significant set of referring variable to the quality of work life of the individual

Classificação hierárquica com distribuições a posteriori: um estudo de simulação em padrões temporais de VIH

O objetivo deste trabalho é avaliar diferentes abordagens para identificação de grupos de pacientes VIH com padrões temporais de evolução da doença similares. Foi considerado um sistema de equações diferenciais ordinárias para caracterizar a comportamento ao longo do tempo de um paciente VIH sob tratamento antiretroviral - TAR de longo prazo, com 5 parâmetros estimados a partir de metodologia Bayesiana. As distribuições a posteriori foram usadas para quantificar distâncias (univariadas) entre pacientes, através do valor médio da distribuição a posteriori, e considerando a distância entre as distribuições a posteriori para cada parâmetro. O resultado do agrupamento hierárquico obtido pelas duas abordagens sugere que o uso de uma distância que considere a distribuição a posteriori é preferível. Trabalho futuro irá considerar distâncias multivariadas em vez de distâncias univariadas.

Otimização da extração de ergosterol assistida por microondas a partir de Agaricus bisporus L., aplicando a técnica estatística de superfície e resposta combinada com a técnica de HPLC-UV

O aumento de consumo de cogumelos tem-se verificado em todo o mundo, não só pelo seu valor nutricional, sabor apurado e textura, mas também pelas suas propriedades medicinais. Existem vários estudos científicos que descrevem os benefícios do consumo de cogumelos, que advêm da sua riqueza em compostos bioativos, tais como micosteróis, em particular, ergosterol. Agaricus bisporus L. é o cogumelo mais consumido em todo o mundo, sendo a sua fração de esteróis constituída essencialmente por ergosterol (90%) [1], tornando a sua extração um tópico de elevado interesse já que esta molécula apresenta elevado valor comercial e inúmeras aplicações nas indústrias alimentar, farmacêutica e cosmética. Segundo a literatura, o teor de ergosterol pode variar entre 3 e 9 mg por g de cogumelo seco. Atualmente, os métodos tradicionais tais como a maceração e a extração em Soxhlet estão a ser substituídos por metodologias emergentes, nomeadamente a extração assistida por microondas, visando diminuir a quantidade de solvente utilizado e o tempo de extração e, naturalmente, aumentar o rendimento da mesma. No presente trabalho, utilizou-se A. bisporus como fonte de ergosterol, tendo-se otimizado as seguintes variáveis relevantes para a sua extração pela tecnologia de microondas (MAE): tempo (0-20 min), temperatura (60-210 ºC) e razão sólido-líquido (1-20 g/L). O solvente utilizado foi o etanol tendo-se aplicado a técnica estatística de superfície de resposta por forma a gerar modelos matemáticos que permitissem maximizar a resposta e otimizar as variáveis que afetam a extração de ergosterol. O conteúdo em ergosterol foi monitorizado por HPLC-UV. Os resultados demonstraram que a técnica MAE é promissora para a extração de ergosterol, tendo-se obtido, para as condições ótimas (20,4 min, 121,5ºC e 1,6 g/L), 569,4 mg ergosterol/100 g de massa seca, valor similar ao obtido com extração convencional por Soxhlet (671,5±0,5 mg/100 g de massa seca). Em síntese, a extração assistida por microondas demonstrou ser uma tecnologia eficiente para maximizar o rendimento de extração em ergosterol.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

Aplicação de modelos de equações estruturais no estudo da eficácia de Sistemas de Gestão de Desempenho

Para fazer face às exigências da sociedade, as organizações têm a necessidade de desenvolver esforços de modo a aumentar a sua performance, através de práticas de gestão estratégica de recursos humanos. Nesta dissertação iremos aprofundar o estudo do modelo proposto por Marr (2009) para explicar a Cultura Orientada para o Desempenho e demonstrar os efeitos que a cultura tem nos Sistemas de Gestão de Desempenho, utilizando os Modelos de Equações Estruturais, através da análise de respostas obtidas sobre 325 colaboradores de empresas portuguesas do sector público e privado. Desta análise resultou a confirmação das quatro dimensões latentes de Cultura Organizacional propostas pelo autor, através da Análise Factorial Confirmatória, revelando também a sua importância e contributos diferenciados no Sistema de Gestão de Desempenho de uma organização. De um modo geral, verificou-se que as dimensões da Cultura contribuem de forma positiva para o aumento da eficácia de um Sistema de Gestão de Desempenho, alinhado com o modelo conceptual proposto e enfatizando a importância de se estudar as dimensões de Cultura e de Sistemas de Gestão de Desempenho de forma simultânea.

Análise de correlação canónica : extensões e aplicações

Neste trabalho apresentamos a teoria da análise de correlação canónica, uma técnica de análise estatística multivariada para o estudo da relação, simultânea, entre dois, três ou mais grupos de variáveis. Descrevemos a natureza da correlação canónica com três ou mais variáveis, com modelos matemáticos, fazendo uma síntese dos métodos de generalização de correlação canónica nomeadamente o método Ssqcor, método Sumcor, método Ecart, método Maxvar, método Minvar, e o método de Carroll. Apresentamos uma aplicação utilizando dados provenientes do cálculo do Índice de Preços no Consumidor IPC, produzido pelo INE - STP (Instituto Nacional de Estatística de São Tomé e Príncipe), referente ao período 2010 a 2014. Estamos interessados em conhecer as correlações canónicas entre grupos de variáveis relacionadas com o cabaz de produtos pré-estabelecido para o cálculo do índice de preços no consumidor, concretamente os produtos alimentares (PA), produtos para bebidas (PB) e produtos não alimentares (PNA), constituindo assim os três grandes grupos de variáveis da nossa pesquisa.

An analysis of herd behavior in Latin American stock markets

This research investigates whether the major stock markets in Latin America (Brazil, Mexico, Chile, Colombia, Peru and Argentina) exhibited herd behavior over the period January 2, 2002 to June 30, 2014, using the variation in the returns overall and by sector in the most representative stock market index in each country, using the model proposed by Christie y Huang (1995) -- The results do not reveal any herd behavior in the total market, or in the sectors of the markets examined in the study

Assimetrias no crescimento e no desenvolvimento económico: um diagnóstico tridimensional da região do Algarve

Dissertação de Mestrado, Gestão Empresarial, Faculdade de Economia, Universidade do Algarve, 2015

Análise comparativa entre simuladores de linha de fluxo e diferenças finitas para um reservatório de petróleo submetido a injeção de água

Water injection is the most widely used method for supplementary recovery in many oil fields due to various reasons, like the fact that water is an effective displacing agent of low viscosity oils, the water injection projects are relatively simple to establish and the water availability at a relatively low cost. For design of water injection projects is necessary to do reservoir studies in order to define the various parameters needed to increase the effectiveness of the method. For this kind of study can be used several mathematical models classified into two general categories: analytical or numerical. The present work aims to do a comparative analysis between the results presented by flow lines simulator and conventional finite differences simulator; both types of simulators are based on numerical methods designed to model light oil reservoirs subjected to water injection. Therefore, it was defined two reservoir models: the first one was a heterogeneous model whose petrophysical properties vary along the reservoir and the other one was created using average petrophysical properties obtained from the first model. Comparisons were done considering that the results of these two models were always in the same operational conditions. Then some rock and fluid parameters have been changed in both models and again the results were compared. From the factorial design, that was done to study the sensitivity analysis of reservoir parameters, a few cases were chosen to study the role of water injection rate and the vertical position of wells perforations in production forecast. It was observed that the results from the two simulators are quite similar in most of the cases; differences were found only in those cases where there was an increase in gas solubility ratio of the model. Thus, it was concluded that in flow simulation of reservoirs analogous of those now studied, mainly when the gas solubility ratio is low, the conventional finite differences simulator may be replaced by flow lines simulator the production forecast is compatible but the computational processing time is lower.

Modelos para acontecimentos múltiplos

Ao longo dos u´ltimos anos tem existido um interesse crescente em estudar o tempo at´e `a ocorrˆencia de va´rios acontecimentos, os quais podem ser observados mais do que uma vez para um mesmo indiv´ıduo. Os dados respeitantes a acontecimentos mu´ltiplos tˆem como principal caracter´ıstica o facto de se registar mais do que um tempo de vida para cada indiv´ıduo, o que inviabiliza a aplica¸ca˜o direta do modelo de regress˜ao de Cox. Assim, surgiu a necessidade de desenvolver novas extenso˜es deste modelo, sendo que as mais utilizadas na pra´tica foram sugeridas por: Prentice, Williams e Peterson (PWP); Andersen e Gill (AG); Wei, Lin e Weissfeld (WLW); e Lee, Wei e Amato (LWA). Um dos maiores obst´aculos na aplicac¸˜ao destes modelos ´e a forte possibilidade de existir correla¸c˜ao intraindiv´ıduos. Neste ponto, os quatro modelos referidos anteriormente sa˜o classificados como modelos marginais, uma vez que o vetor de paraˆmetros de regress˜ao ´e estimado com base no ajustamento de um modelo que ignora a correla¸ca˜o entre acontecimentos. Para compensar esse facto, nestes modelos ´e usado um estimador robusto da matriz de covariˆancia, o qual permite efetuar a correc¸˜ao necessa´ria na estimativa da variaˆncia usual. Apo´s realizar uma descric¸˜ao detalhada de cada modelo marginal procedeu-se a` respetiva implementa¸c˜ao atrav´es do software estat´ıstico R. Para o efeito, recorreu-se a` simula¸ca˜o de dados relativos a acontecimentos mu´ltiplos do mesma natureza, isto ´e, a acontecimentos recorrentes. Os resultados obtidos permitiram real¸car e confirmar as caracter´ısticas dos modelos estudados.