Made available in DSpace on 2014-12-17T14:08:53Z (GMT). No. of bitstreams: 1 AdrianoJAMB_DISSERT.pdf: 6352547 bytes, checksum: 4f7f1e181e2f04659c084a8901764e58 (MD5) Previous issue date: 2012-07-13 / Injectivity decline, which can be caused by particle retention, generally occurs during water injection or reinjection in oil fields. Several mechanisms, including straining, are responsible for particle retention and pore blocking causing formation damage and injectivity decline. Predicting formation damage and injectivity decline is essential in waterflooding projects. The Classic Model (CM), which incorporates filtration coefficients and formation damage functions, has been widely used to predict injectivity decline. However, various authors have reported significant discrepancies between Classical Model and experimental results, motivating the development of deep bed filtration models considering multiple particle retention mechanisms (Santos & Barros, 2010; SBM). In this dissertation, inverse problem solution was studied and a software for experimental data treatment was developed. Finally, experimental data were fitted using both the CM and SBM. The results showed that, depending on the formation damage function, the predictions for injectivity decline using CM and SBM models can be significantly different / A perda de injetividade, que pode ser causada pela reten??o de part?culas, ocorre geralmente durante a inje??o ou reinje??o de ?gua em campos de petr?leo. V?rios mecanismos, incluindo a exclus?o pelo tamanho (straining), s?o respons?veis pela reten??o de part?culas e bloqueio dos poros da forma??o, causando dano e o decl?nio da injetividade. A previs?o para o dano ? forma??o e a queda da injetividade ? essencial para o gerenciamento de projetos de inje??o de ?gua. O modelo cl?ssico (MC), que incorpora os coeficientes de filtra??o e de dano ? forma??o, tem sido amplamente utilizado na previs?o da perda de injetividade. Esse modelo apresenta bons resultados quando apenas um mecanismo de reten??o ? atuante. Entretanto, v?rios autores relataram discrep?ncias significativas entre o modelo cl?ssico e os dados experimentais, motivando o desenvolvimento de modelos que consideram m?ltiplos mecanismos de reten??o de part?culas, como o modelo de Santos e Barros (MSB, 2010). Neste trabalho, foi estudada a solu??o do problema inverso para diferentes modelos. A partir deste estudo, foi desenvolvido um software para o tratamento dos dados experimentais. Finalmente, os dados experimentais foram ajustados usando tanto o MC quanto o MSB. Os resultados demonstraram que, dependendo da fun??o dano ? forma??o utilizada, as previs?es dos modelos MC e MSB para a perda de injetividade podem ser significativamente diferentes

Made available in DSpace on 2014-12-17T14:09:18Z (GMT). No. of bitstreams: 1 JulianaAA_TESE.pdf: 2312979 bytes, checksum: 31c1a19cbf37d537febd576ec54e5eb2 (MD5) Previous issue date: 2013-09-13 / Discrepancies between classical model predictions and experimental data for deep bed filtration have been reported by various authors. In order to understand these discrepancies, an analytic continuum model for deep bed filtration is proposed. In this model, a filter coefficient is attributed to each distinct retention mechanism (straining, diffusion, gravity interception, etc.). It was shown that these coefficients generally cannot be merged into an effective filter coefficient, as considered in the classical model. Furthermore, the derived analytic solutions for the proposed model were applied for fitting experimental data, and a very good agreement between experimental data and proposed model predictions were obtained. Comparison of the obtained results with empirical correlations allowed identifying the dominant retention mechanisms. In addition, it was shown that the larger the ratio of particle to pore sizes, the more intensive the straining mechanism and the larger the discrepancies between experimental data and classical model predictions. The classical model and proposed model were compared via statistical analysis. The obtained p values allow concluding that the proposed model should be preferred especially when straining plays an important role. In addition, deep bed filtration with finite retention capacity was studied. This work also involves the study of filtration of particles through porous media with a finite capacity of filtration. It was observed, in this case, that is necessary to consider changes in the boundary conditions through time evolution. It was obtained a solution for such a model using different functions of filtration coefficients. Besides that, it was shown how to build a solution for any filtration coefficient. It was seen that, even considering the same filtration coefficient, the classic model and the one here propposed, show different predictions for the concentration of particles retained in the porous media and for the suspended particles at the exit of the media / Discrep?ncias encontradas entre dados experimentais e previs?es feitas a partir do modelo cl?ssico foram relatadas por v?rios autores. Para entender essas discrep?ncias, um modelo anal?tico cont?nuo para a filtra??o profunda ? proposto. Neste modelo, cada mecanismo de reten??o est? associado a um coeficiente de filtra??o diferente. Foi mostrado que os coeficientes de filtra??o n?o podem ser somados e considerados em um ?nico coeficiente de filtra??o global como se apenas um mecanismo de reten??o atuasse no sistema, o que ? feito no modelo cl?ssico. Al?m disso, foram obtidas solu??es expl?citas para o sistema de equa??es que representam o modelo proposto. Tais solu??es foram usadas para ajustar os dados experimentais, e um bom ajuste foi obtido. Comparando os resultados obtidos com rela??es emp?ricas dispon?veis na literatura foi poss?vel identificar o mecanismo de reten??o mais atuante na filtra??o. Foi mostrado ainda, que quanto maior o tamanho das part?culas injetadas, mais atuante ? o mecanismo de exclus?o pelo tamanho e maiores as discrep?ncias entre o modelo proposto e o modelo cl?ssico. Os modelos cl?ssico e proposto foram comparados atrav?s de uma an?lise estat?stica. Tal an?lise mostrou que os ajustes feitos com o modelo proposto s?o significativamente melhores que os ajustes feitos com o modelo cl?ssico, principalmente quando o mecanismo de exclus?o pelo tamanho ? o mais atuante na filtra??o. Neste trabalho foi, tamb?m, estudado a filtra??o de part?culas em meio poroso com capacidade finita de filtra??o. Observou-se, neste caso, que ? necess?rio considerar mudan?as nas condi??es de fronteira com a evolu??o do tempo. Foi obtida a solu??o para tal modelo para diferentes fun??es de coeficiente de filtra??o. Al?m disso, foi mostrado como construir a solu??o para um coeficiente de filtra??o qualquer. Observou-se que, ainda que se considere o mesmo coeficiente de filtra??o, o modelo cl?ssico e o modelo proposto apresentam previs?es distintas para as concentra??es de part?culas retidas no meio e de part?culas em suspens?o na sa?da do meio

Made available in DSpace on 2014-12-17T15:03:27Z (GMT). No. of bitstreams: 1 WelitonFBF_DISSERT.pdf: 2010897 bytes, checksum: 9145c54f00922f08967d3beb644f5f73 (MD5) Previous issue date: 2011-07-28 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / The improper disposal of nitrogen in receiving water courses causes problems such as toxicity to living beings through the consumption of oxygen to meet the nitrogen demand, eutrophication and nitrate contamination of aquifers. For this reason it is often necessary to be carried out complementary treatment of wastewater to eliminate or reduce the concentration of this compound in the wastewater. The objective of this study is to evaluate the biological removal of nitrogen compounds using submerged aerated and anoxic filters as post-treatment of an anaerobic system, with low cost and innovative technology, which in previous studies has shown high removal efficiency of organic matter and great potential biological nitrogen compounds removal. The simple design with perforated hoses for air distribution and filling with plastic parts proved to be very efficient in relation to organic matter removal and nitrification. The system presented, in the best stage, efficiency in converting ammonia to nitrate by 71%, and produced a final effluent concentration below 10 mg / L of NH3-N. In addition, carbon concentration was removed by 77%, producing final effluent with 24 mg/L COD. However, denitrification in anoxic filter was not effective even with the addition of an external carbon source. There was a reduction of up to 56% of nitrogen caused by the process of simultaneous nitrification and denitrification (SND). The high voids space presented by this type of support material coupled with direct aeration of the sludge, allows the respiration of biomass retained between the endogenous phase, increased cell retention time and sludge retention capacity, producing a final effluent with turbidity less than 5 UT and total suspended solids around 5.0 mg/L / A disposi??o inadequada do nitrog?nio em corpos receptores gera problemas como: toxicidade para seres vivos; consumo de oxig?nio do meio para atender a demanda nitrogenada; eutrofiza??o; e contamina??o dos aqu?feros por nitrato. Por esta raz?o ? muitas vezes necess?rio que seja realizado tratamento complementar dos esgotos para eliminar, ou reduzir, a concentra??o deste composto nas ?guas residu?rias. O objetivo deste trabalho ? avaliar a remo??o biol?gica dos compostos nitrogenados utilizando filtros aerados submersos como p?s-tratamento de um sistema anaer?bio, com tecnologia inovadora, de baixo custo, que em estudos anteriores demonstrou grande efici?ncia na remo??o de mat?ria org?nica carbon?cea e grande potencial na remo??o biol?gica de compostos nitrogenados. A forma simples como o sistema foi concebido, com mangueiras perfuradas para distribui??o do ar e preenchimento com pe?as pl?sticas - condu?te cortado - mostrou-se bastante eficiente em rela??o ? remo??o de mat?ria org?nica e na nitrifica??o. O sistema apresentou, na melhor fase, efici?ncia na convers?o de nitrog?nio amoniacal em nitrato de 71%, e produziu efluente final com concentra??o de N-NH3 inferior a 10 mg/L. Al?m disso, observou-se uma redu??o de 77% na concentra??o de carbono, produzindo efluente final com 24 mg/L de DQO. Contudo a desnitrifica??o no filtro an?xico n?o se mostrou eficiente mesmo com a adi??o de uma fonte externa de carbono. Mesmo assim observou-se redu??o de at? 56% do nitrog?nio causado pelo processo de Nitrifica??o e Desnitrifica??o Simult?neas (SND). O grande ?ndice de vazios apresentado por este tipo de material suporte aliado ? aera??o direta do lodo, permite que a respira??o da biomassa retida entre na fase end?gena, aumentado o tempo de reten??o celular e a capacidade de reten??o de lodo, produzindo um efluente final com turbidez inferior a 5 UT e SST em torno de 5,0 mg/L