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Medi??o das vaz?es e an?lise de incerteza em po?os injetores de ?gua multizonas a partir do perfil de temperatura do fluidoReges, Jos? Edenilson Oliveira 18 November 2016 (has links)
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Previous issue date: 2016-11-18 / Esta Tese ? uma contribui??o ao desenvolvimento de sensores de vaz?o na ind?stria de
petr?leo e g?s. O objetivo geral do trabalho ? apresentar uma metodologia para medir as vaz?es
em po?os injetores de ?gua multizonas a partir de perfis de temperatura do fluido e estimar a
incerteza da medi??o. Inicialmente, foi apresentada a equa??o cl?ssica de Ramey descrevendo
a temperatura do fluido como uma fun??o da vaz?o ao longo do po?o. Ent?o, foram descritos
tr?s m?todos de c?lculo das vaz?es a partir do perfil de temperatura e o sensor de vaz?o foi
modelado computacionalmente. Em seguida, foram calculadas as vaz?es em quatro po?os
injetores multizonas, localizados no Rio Grande do Norte, a partir de perfis de temperatura
medidos experimentalmente. As vaz?es calculadas foram comparadas ?s vaz?es medidas no
campo. Os resultados preliminares obtidos nos Po?os 1 e 2 foram satisfat?rios. Nestes po?os,
os erros m?ximos observados foram de 28,55% (Po?o 1) e 15,72% (Po?o 2). Entretanto, desvios
significativos entre as vaz?es calculadas e medidas foram encontrados nos Po?os 3 e 4. Nestes
po?os, os erros m?ximos observados foram de 536,84% (Po?o 3) e 335,54% (Po?o 4).
Utilizando a expans?o em S?rie de Taylor da equa??o exponencial de Ramey, foi obtida uma
fun??o expl?cita, linear, entre a vaz?o ao longo do po?o e a temperatura do fluido, sendo
realizada uma an?lise quantitativa da incerteza de medi??o. A partir desta an?lise, foi observado
que, devido ? baixa resolu??o nas medi??es de temperatura, a incerteza de medi??o expandida
pode atingir cerca de 155,04% da vaz?o calculada. Foi ent?o apresentado um m?todo de c?lculo
estoc?stico das vaz?es a partir das distribui??es de probabilidade das temperaturas medidas,
atrav?s da Simula??o de Monte Carlo. As novas vaz?es calculadas apresentaram erros m?ximos
de 3,67% (Po?o 1), 14,45% (Po?o 2), 14,62% (Po?o 3) e 22,29% (Po?o 4). Logo, a abordagem
probabil?stica permitiu que as vaz?es injetadas fossem satisfatoriamente estimadas mesmo nos
casos em que a resolu??o do sensor de temperatura era inadequada ? detec??o de pequenas
varia??es na temperatura do fluido. Portanto, a metodologia de c?lculo das vaz?es injetadas a
partir do perfil de temperatura do fluido foi validada com sucesso. / This thesis is a contribution to the development of flow sensors in oil and gas industry.
The main objective of this work is presenting a methodology to measure the flow rates into
multiple-zone water-injection wells from fluid temperature profiles and estimate the
measurement uncertainty. First, the classical Ramey equation describing the fluid temperature
as a function of flow was presented. Then, three methods to calculate the flow rates from
temperature profile were described and the flow sensor was computationally modeled. Next,
the flow rates into four multiple-zone injection-wells, located in Rio Grande do Norte, were
calculated from temperature profiles experimentally measured. The calculated flow rates were
compared to the measured flow rates. The preliminary results, obtained from Wells 1 and 2,
were satisfactory. In these wells, the maximum errors were equals to 28,55% (Well 1) and
15,72% (Well 2). However, significant deviations between the calculated and the measured
flow rates were found at Wells 3 and 4. In these wells, the maximum errors were equals to
536,84% (Well 3) and 335,54% (Well 4). The Ramey equation was expanded in Taylor Series
and linearized to obtain an explicit, linear, function between the flow and the fluid temperature.
Then, a quantitative uncertainty analysis was performed. From this analysis, it was observed,
due the temperature sensor resolution, the expanded measurement uncertainty may achieve
about 155,04% of the calculated flow rate. Then, the injected flow rates were stochastically
recalculated from the probability distributions of the measured temperatures, through a Monte
Carlo simulation. The new calculated flow rates presented maximum errors of 3,67% (Well 1),
14,45% (Well 2), 14,62% (Well 3) and 22,29% (Well 4). This probabilistic approach allowed
injected flow rates to be estimated even in the cases where the temperature sensor resolution
was inadequate to detection of small variations into the fluid temperature. Therefore, the
methodology to calculate the injected flow rates from the fluid temperature profile was
successfully validated.
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Preven??o de pneumonia associada ? ventila??o mec?nica - uma oportunidade de melhoria / Prevention of ventilator-associated pneumonia - an opportunity for improvementBezerra, H?lida Maria 07 October 2016 (has links)
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Previous issue date: 2016-10-07 / Objetivo: Aumentar a ades?o ?s pr?ticas de preven??o de pneumonias associadas ? ventila??o mec?nica (PAV) em unidades de terapia intensiva (UTI), atrav?s de um ciclo de melhoria interno. Metodologia: Foi aplicado um ciclo de melhoria da qualidade com desenho quase experimental do tipo antes e depois em duas UTI de um hospital p?blico no nordeste do Brasil, com um total de 19 leitos. Foram estabelecidos nove crit?rios de qualidade relacionados com a preven??o de PAV e um indicador composto com os quais se avaliou o n?vel basal de qualidade e posteriormente mais duas avalia??es subsequentes com intervalos de quatro meses buscando medir as poss?veis melhorias adquiridas nesses per?odos. O Gr?fico de Pareto foi utilizado para representar a frequ?ncia de n?o cumprimentos de cada crit?rio avaliado nos tr?s momentos. Utilizou-se o c?lculo de estima??o pontual e o intervalo de confian?a (95%) para a medi??o dos crit?rios. Para quantificar a efetividade da interven??o, calculou-se a melhoria absoluta e relativa, al?m da significa??o estat?stica da melhoria absoluta mediante o teste unilateral do valor de z. Resultados: Ocorreu uma ligeira melhoria em todos os crit?rios quando comparadas as duas primeiras avalia??es, por?m nesta compara??o inicial, apenas um crit?rio apresentou melhora estatisticamente significante (p<0,05). Na segunda compara??o feita entre a 1? e 3? avalia??es, os resultados revelaram melhora no cumprimento de quase todos os crit?rios, onde dos nove crit?rios estabelecidos, oito obtiveram melhora, sendo seis com melhora estatisticamente significante (p < 0,05), dois com melhora sem signific?ncia e em um crit?rio houve piora no percentual de cumprimento. O indicador composto, que resume todos os crit?rios avaliados, obteve uma melhora significativa de quase 40% (p<0,05) na segunda compara??o. Conclus?es: A implanta??o de ciclos internos de melhoria constitui-se em importante ferramenta de gest?o da qualidade para incorpora??o de boas pr?ticas para preven??o de PAV em UTI. / Objective: To increase adherence of the preventive practices concerning Ventilator-associated pneumonia (VAP) in intensive care units (ICU), through an internal improvement cycle. Methodology: A quality improvement cycle, quasi-experimental design before-after was applied in two ICUs of a public hospital in the northeast of Brazil, with a total of 19 beds. Nine quality criteria related to the prevention of VAP were established and a composite indicator with which to assess the baseline level of quality and later two more subsequent assessments at intervals of four months seeking measure possible improvements acquired during these periods. The Pareto chart was used to represent the frequency of non-compliance of each criterion assessed in three moments. It was used the point estimation and the confidence interval (95%) for the measurement of the criteria. To quantify the effectiveness of the intervention, it calculated the absolute and relative improvement, beyond the statistical significance of the absolute improvement through unilateral test value of z. Results: There was a slight improvement on all criteria when comparing the first two assessments, but this initial comparison, only one criteria showed a statistically significant improvement (p <0.05). In the second comparison between the 1st and 3rd evaluations, the results showed improvement in the performance of all the criteria almost, where the nine established criteria, eight showed improvement, and six with a statistically significant improvement (p <0.05), with two improvement without significance and one criteria has worsened in the percentage of compliance. The composite indicator, which summarizes all the criteria evaluated, obtained a significant improvement of almost 40% (p<0.05) in the second comparison. Conclusions: The implementation of an internal improvement cycle was an important tool in quality management for the adoption of best practices for the prevention of VAP in ICU.
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Fundamenta??o cin?tica da estat?stica n?o gaussiana : efeitos em politr?picasBento, Eli?ngela Paulino 19 September 2011 (has links)
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Previous issue date: 2011-09-19 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / Considering a non-relativistic ideal gas, the standard foundations of
kinetic theory are investigated in the context of non-gaussian statistical mechanics
introduced by Kaniadakis. The new formalism is based on the generalization
of the Boltzmann H-theorem and the deduction of Maxwells
statistical distribution. The calculated power law distribution is parameterized
through a parameter measuring the degree of non-gaussianity. In
the limit = 0, the theory of gaussian Maxwell-Boltzmann distribution is
recovered. Two physical applications of the non-gaussian effects have been
considered. The first one, the -Doppler broadening of spectral lines from
an excited gas is obtained from analytical expressions. The second one,
a mathematical relationship between the entropic index and the stellar
polytropic index is shown by using the thermodynamic formulation for
self-gravitational systems / Considerando um g?s ideal n?o relativ?stico, os fundamentos da teoria
cin?tica padr?o s?o investigados no contexto da mec?nica estat?stica
n?o-gaussiana introduzida por Kaniadakis. O novo formalismo ? baseado
na generaliza??o do teorema-H de Boltzmann e na dedu??o de Maxwell
da distribui??o estat?stica. A distribui??o lei de pot?ncia calculada ?
parametrizada por um par?metro medindo o grau de n?o-gaussianidade
do sistema. No limite = 0, a teoria gaussiana de Maxwell-Boltzmann
? recuperada. Duas aplica??es dos efeitos n?o-gaussiano s?o estudados.
Na primeira, o -alargamento Doppler das linhas espectrais de um g?s excitado
? obtido a partir das express?es anal?ticas. Na segunda, uma rela??o
matem?tica entre o ?ndice entr?pico e o ?ndice politr?pico estelar
? mostrada usando uma formula??o termodin?mica para sistemas autogravitantes
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