Made available in DSpace on 2014-12-17T14:55:41Z (GMT). No. of bitstreams: 1 AraujoJDF_DISSERT.pdf: 2882504 bytes, checksum: 96c2fbb3f2a5321e6d6c3d365cb77eff (MD5) Previous issue date: 2009-03-20 / The objective of this research is to discuss about the need for implementation of new alternatives for the implementation on the metrological control: on the findings of initial and subsequent measurements, the control procedures of measurement uncertainty applied in assessing the loss or remains found in handling operations of bulk liquids, when used turbine meters used in measuring the tax on the business of Petrobras, due to the current environment of legal metrology and scientific, both domestic and international. We aim, with these alternatives: standardizing the minimization of random and systematic errors, the estimate of the remaining errors, as well as the management control of metrological calibration procedures, control of measurement uncertainty, and contribute to the change in the form of performance of legal metrology and scientific disseminating new information to change management of metrological control, objectively focused on aspects of supervision in implementing these activities in the control of the uncertainties of measurement used in our processes in the fiscal measurement system Petrobras. Results are presented, information and comments on the influence of measurement uncertainty in the current results of the fiscal and transfer of custody. This will emphasize the need, among other things, improvement and expansion of metrological control monitored by setting a better meet demand, calibration equipment and measuring instruments for Petrobras. Finally, we intend to establish the need for improving the method of evaluation of the data meter applied to the current management control of measurement uncertainty by proposing a methodology for addressing the problem, as well as highlighting the expected results. / O objetivo deste trabalho de pesquisa ? abordar a necessidade de implementa??o de novas alternativas para a execu??o da gest?o no controle metrol?gico: quanto ?s verifica??es das medi??es iniciais e posteriores; nos procedimentos de controle da incerteza de medi??o; aplicada na avalia??o das perdas ou sobras constatadas nas opera??es de movimenta??o de gran?is l?quidos; quando utilizamos medidores tipo turbina na medi??o fiscal utilizada nos neg?cios da Petrobras, em virtude ao atual cen?rio da metrologia legal e cient?fica; no contexto nacional e internacional. Almeja-se, com estas alternativas: padronizarmos a minimiza??o dos erros aleat?rios e sistem?ticos; a estimativa dos erros remanescentes; assim como, a gest?o no controle metrol?gico dos procedimentos de calibra??o; controle das incertezas de medi??es; e contribuirmos para a mudan?a na forma de atua??o da metrologia legal e cient?fica, divulgando novas informa??es para a gest?o de mudan?as do controle metrol?gico, voltadas objetivamente para os aspectos de supervis?o na execu??o destas atividades no controle das incertezas de medi??o utilizadas em nossos processos de medi??o fiscal no sistema Petrobras. S?o apresentados resultados, informa??es e coment?rios sobre a influ?ncia da incerteza de medi??o nos resultados atuais das medi??es fiscais e transfer?ncias de cust?dia. Isto enfatizar? a necessidade, dentre outras coisas, de melhoria e na amplia??o do controle metrol?gico monitorado, definindo um melhor atendimento ? demanda de calibra??es dos equipamentos e instrumentos de medi??es da Petrobras. Finalmente, pretende-se concluir pela necessidade do aprimoramento do m?todo de avalia??o dos dados do medidor aplicado na gest?o atual do controle de incertezas de medi??es, propondo metodologia para a abordagem do problema, assim como, destacando os resultados esperados.

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-03-17T19:32:33Z No. of bitstreams: 1 JoseEdenilsonOliveiraReges_TESE.pdf: 5841325 bytes, checksum: 2ead9ffcd013a5ed21850074ab97c30f (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-03-18T00:04:04Z (GMT) No. of bitstreams: 1 JoseEdenilsonOliveiraReges_TESE.pdf: 5841325 bytes, checksum: 2ead9ffcd013a5ed21850074ab97c30f (MD5) / Made available in DSpace on 2017-03-18T00:04:04Z (GMT). No. of bitstreams: 1 JoseEdenilsonOliveiraReges_TESE.pdf: 5841325 bytes, checksum: 2ead9ffcd013a5ed21850074ab97c30f (MD5) 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.