Made available in DSpace on 2014-12-17T14:08:34Z (GMT). No. of bitstreams: 1 DayanaLSpdf.pdf: 1986697 bytes, checksum: 096c92db6f636c1bab0aeee590522e53 (MD5) Previous issue date: 2009-07-31 / Petr?leo Brasileiro SA - PETROBRAS / Currently, due to part of world is focalized to petroleum, many researches with this theme have been advanced to make possible the production into reservoirs which were classified as unviable. Because of geological and operational challenges presented to oil recovery, more and more efficient methods which are economically successful have been searched. In this background, steam flood is in evidence mainly when it is combined with other procedures to purpose low costs and high recovery factors. This work utilized nitrogen as an alternative fluid after steam flood to adjust the best combination of alternation between these fluids in terms of time and rate injection. To describe the simplified economic profile, many analysis based on liquid cumulative production were performed. The completion interval and injection fluid rates were fixed and the oil viscosity was ranged at 300 cP, 1.000 cP and 3.000 cP. The results defined, for each viscosity, one specific model indicating the best period to stop the introduction of steam and insertion of nitrogen, when the first injected fluid reached its economic limit. Simulations in physics model defined from one-eighth nine-spot inverted were realized using the commercial simulator Steam, Thermal and Advanced Processes Reservoir Simulator STARS of Computer Modelling Group CMG / Atualmente, pelo fato de parte do mundo estar voltada para a ind?stria do petr?leo, as pesquisas na ?rea t?m avan?ado de modo a tornar poss?vel at? mesmo a produ??o em reservat?rios at? ent?o vistos como invi?veis. Em virtude dos desafios geol?gicos e operacionais apresentados para recuperar o ?leo, cada vez mais se intensifica a busca por m?todos mais eficientes e lucrativos. Neste cen?rio, a inje??o de vapor merece destaque, sobretudo, quando combinada com outros procedimentos visando assim, reduzir os custos, ao mesmo tempo em que aumenta o fator de recupera??o. O presente trabalho utilizou o nitrog?nio como fluido alternativo ap?s a inje??o de vapor a fim de ajustar a melhor combina??o de altern?ncia desses fluidos em termos do tempo e vaz?o de inje??o. Para tra?ar um perfil econ?mico simplificado do processo, realizaram-se an?lises com base na produ??o acumulada l?quida. O intervalo de completa??o e as vaz?es dos fluidos de inje??o foram fixados e variou-se a viscosidade do ?leo em 300 cP, 1.000 cP e 3.000 cP. Os resultados definiram, para cada viscosidade, um modelo espec?fico indicando o melhor per?odo para interrup??o do vapor e inser??o do nitrog?nio, quando o primeiro fluido injetado atingiu seu limite econ?mico. As simula??es foram realizadas em um modelo f?sico definido a partir de 1/8 (um oitavo) do padr?o nine-spot invertido, utilizando o simulador comercial Steam, Thermal and Advanced Processes Reservoir Simulator STARS do Computer Modelling Group CMG

Made available in DSpace on 2014-12-17T14:08:36Z (GMT). No. of bitstreams: 1 AmandaGO.pdf: 1269225 bytes, checksum: bb3d37e917eb9a6a37d5196f82512218 (MD5) Previous issue date: 2010-01-27 / The objective of reservoir engineering is to manage fields of oil production in order to maximize the production of hydrocarbons according to economic and physical restrictions. The deciding of a production strategy is a complex activity involving several variables in the process. Thus, a smart system, which assists in the optimization of the options for developing of the field, is very useful in day-to-day of reservoir engineers. This paper proposes the development of an intelligent system to aid decision making, regarding the optimization of strategies of production in oil fields. The intelligence of this system will be implemented through the use of the technique of reinforcement learning, which is presented as a powerful tool in problems of multi-stage decision. The proposed system will allow the specialist to obtain, in time, a great alternative (or near-optimal) for the development of an oil field known / O objetivo da engenharia de reservat?rios ? o de gerenciar campos de produ??o de petr?leo de forma a maximizar a produ??o dos hidrocarbonetos obedecendo a restri??es f?sicas e econ?micas existentes. A defini??o de estrat?gias de produ??o ? uma atividade complexa por envolver diversas vari?veis do processo. Deste modo, um sistema inteligente, que auxilie na otimiza??o das alternativas de desenvolvimento do campo, torna-se bastante ?til no dia-a-dia dos engenheiros de reservat?rios. Este trabalho prop?e o estudo preliminar de um sistema inteligente de aux?lio ? tomadas de decis?es, no que diz respeito ? otimiza??o de estrat?gias de produ??o em campos de petr?leo. A intelig?ncia desse sistema ser? implementada por meio do uso da t?cnica de aprendizado por refor?o, a qual se apresenta como uma poderosa ferramenta em problemas de decis?o multi-est?gios. O sistema estudado visa permitir que o especialista obtenha, em tempo h?bil, a alternativa ?tima (ou quase-?tima) para o desenvolvimento de um campo de petr?leo conhecido

Made available in DSpace on 2014-12-17T14:08:36Z (GMT). No. of bitstreams: 1 AldayrDAJ.pdf: 1169839 bytes, checksum: a47b70e79b9bb61b42503d47bffbccd3 (MD5) Previous issue date: 2010-01-27 / One of the main activities in the petroleum engineering is to estimate the oil production in the existing oil reserves. The calculation of these reserves is crucial to determine the economical feasibility of your explotation. Currently, the petroleum industry is facing problems to analyze production due to the exponentially increasing amount of data provided by the production facilities. Conventional reservoir modeling techniques like numerical reservoir simulation and visualization were well developed and are available. This work proposes intelligent methods, like artificial neural networks, to predict the oil production and compare the results with the ones obtained by the numerical simulation, method quite a lot used in the practice to realization of the oil production prediction behavior. The artificial neural networks will be used due your learning, adaptation and interpolation capabilities / Uma das atividades essenciais na engenharia de petroleo e a estimativa de producao de oleo existente nas reservas petroliferas. O calculo dessas reservas e crucial para a determina??o da viabilidade economica de sua explotacao. Atualmente, a industria do petroleo tem se deparado com problemas para analisar a producao enquanto facilidades operacionais disponibilizam um volume de informacoes que crescem exponencialmente. Tecnicas convencionais de modelagem de reservatorios como simulacao matematica e visualizacao estao bem desenvolvidas e disponiveis. A proposta deste trabalho e o uso de tecnicas inteligentes, como as redes neurais artificiais, para a predicao de producao de petroleo e comparar seus resultados com os obtidos pela simulacao numerica, metodo bastante utilizado na pratica para a realizacao de predicao do comportamento da producao de petroleo. As redes neurais artificiais serao usadas devido a sua capacidade de aprendizado, adaptacao e interpolacao

Made available in DSpace on 2014-12-17T14:08:38Z (GMT). No. of bitstreams: 1 Ernesto Vargas Bautista_DISSERT_01_59.pdf: 4396872 bytes, checksum: 70a69eb1e9973135d541fd7ce76f4ed9 (MD5) Previous issue date: 2010-02-26 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / In Brazil and around the world, oil companies are looking for, and expected development of new technologies and processes that can increase the oil recovery factor in mature reservoirs, in a simple and inexpensive way. So, the latest research has developed a new process called Gas Assisted Gravity Drainage (GAGD) which was classified as a gas injection IOR. The process, which is undergoing pilot testing in the field, is being extensively studied through physical scale models and core-floods laboratory, due to high oil recoveries in relation to other gas injection IOR. This process consists of injecting gas at the top of a reservoir through horizontal or vertical injector wells and displacing the oil, taking advantage of natural gravity segregation of fluids, to a horizontal producer well placed at the bottom of the reservoir. To study this process it was modeled a homogeneous reservoir and a model of multi-component fluid with characteristics similar to light oil Brazilian fields through a compositional simulator, to optimize the operational parameters. The model of the process was simulated in GEM (CMG, 2009.10). The operational parameters studied were the gas injection rate, the type of gas injection, the location of the injector and production well. We also studied the presence of water drive in the process. The results showed that the maximum vertical spacing between the two wells, caused the maximum recovery of oil in GAGD. Also, it was found that the largest flow injection, it obtained the largest recovery factors. This parameter controls the speed of the front of the gas injected and determined if the gravitational force dominates or not the process in the recovery of oil. Natural gas had better performance than CO2 and that the presence of aquifer in the reservoir was less influential in the process. In economic analysis found that by injecting natural gas is obtained more economically beneficial than CO2 / No Brasil e no mundo, as empresas de petr?leo est?o ? procura, desenvolvimento e ? espera de novas tecnologias e processos que possam elevar o fator de recupera??o de ?leo em seus reservat?rios, com um equilibrado custo-benef?cio. Na procura de novas tecnologias foi desenvolvido o processo de drenagem gravitacional assistida por g?s (GAGD Gas Assisted Gravity Drainage) que foi classificado dentro dos m?todos de recupera??o avan?ada de ?leo. O processo GAGD, que se encontra em fase de teste piloto em campo, est? sendo muito estudado atrav?s de modelos f?sicos em escala de laborat?rio e em testemunhos, isto devido ?s altas recupera??es de ?leo em rela??o aos outros processos de inje??o de g?s. Este m?todo consiste em injetar g?s no topo de um reservat?rio atrav?s de po?os injetores verticais ou horizontais e deslocar o ?leo, aproveitando a segrega??o gravitacional natural dos fluidos, para um po?o produtor horizontal colocado na base do reservat?rio. Para estudar este processo foi idealizado um reservat?rio homog?neo e um modelo de fluido multicomponente com caracter?sticas parecidas aos campos de ?leo leve do Brasil para que, atrav?s de um simulador composicional, se analisem os par?metros operacionais. O processo foi simulado no programa comercial GEM da CMG (Computer Modelling Group). Os par?metros operacionais estudados foram a vaz?o de inje??o de g?s, o tipo de g?s injetado (g?s natural e CO2), a localiza??o do po?o injetor e do po?o produtor. Tamb?m foi estudada a presen?a de aq??fero no processo. Os resultados mostraram que o m?ximo espa?amento vertical entre os dois po?os, provocou a m?xima recupera??o de ?leo no GAGD. Tamb?m, verificou-se que a maiores vaz?es de inje??o, se obtiveram os maiores fatores de recupera??o. Este par?metro controlou a velocidade da frente do g?s injetado e determinou se a for?a gravitacional domina ou n?o sobre o processo na recupera??o de ?leo. O g?s natural teve melhor desempenho que o CO2 e que, a presen?a de aq??fero no reservat?rio influenciou pouco no processo. Na an?lise econ?mica verificou-se que a inje??o de g?s natural obteve o melhor beneficio econ?mico que com CO2

Made available in DSpace on 2014-12-17T14:08:38Z (GMT). No. of bitstreams: 1 Janaina Medeiros Dantas Barbosa_DISSERT_01_35.pdf: 3284535 bytes, checksum: 7cd819680331f233db6c8299e7522b7b (MD5) Previous issue date: 2009-06-12 / Petr?leo Brasileiro SA - PETROBRAS / Continuous steam injection is one of heavy oil thermal recovery methods used in the Brazilian Northeast because of high occurrence of heavy oil reservoir. In this process, the oil into the reservoir is heated while reduces, substantially, its viscosity and improves the production. This work analyzed how the shaly sand layers influenced in the recovery. The studied models were synthetics, but the used reservoir data can be extrapolated to real situations of Potiguar Basin. The modeling was executed using the STARS - Steam Thermal and Advanced Process Reservoir Simulator - whose version was 2007.10. STARS is a tool of CMG Computer Modeling Group. The study was conducted in two stages, the first we analyzed the influence of reservoir parameters in the thermal process, so some of these were studied, including: horizontal permeability of the reservoir and the layer of shaly sand, ratio of horizontal permeability to vertical permeability, the influence of capillary pressure layer of shaly sand and as the location and dimensions of this heterogeneity can affect the productivity of oil. Among the parameters studied the horizontal permeability of the reservoir showed the most significant influence on the process followed by diversity. In the second stage three models were selected and studied some operational parameters such as injection rate, distance between wells, production time and completion intervals. Among the operating parameters studied the low rate and intermediate distances between wells showed the best recoveries / A inje??o cont?nua de vapor ? um dos m?todos t?rmicos de recupera??o de ?leos pesados utilizados no Nordeste Brasileiro, devido ? grande ocorr?ncia de reservat?rios contendo este tipo de ?leo. Este processo consiste em aquecer o ?leo existente no reservat?rio diminuindo substancialmente a sua viscosidade melhorando assim, a sua produ??o. Neste trabalho foi estudada qual a influ?ncia da presen?a de camadas de areia argilosas no reservat?rio para este tipo de recupera??o. Os modelos s?o sint?ticos, por?m com dados de reservat?rios que podem ser extrapolados para situa??es de aplica??es pr?ticas na Bacia Potiguar que apresenta reservat?rios com essa heterogeneidade. A modelagem foi implementada no simulador de recupera??o t?rmica STARS (Steam, Thermal, and Advanced Processes Reservoir Simulator) vers?o 2007.10 da CMG (Computer Modelling Group). O estudo foi realizado em duas etapas, na primeira foi analisada a influ?ncia dos par?metros de reservat?rio neste processo t?rmico, sendo assim, alguns desses foram estudados, dentre eles: permeabilidade horizontal do reservat?rio e da camada de areia argilosa, rela??o da permeabilidade horizontal com a permeabilidade vertical, influ?ncia da press?o capilar da camada de areia argilosa e como a localiza??o e as dimens?es dessa heterogeneidade podem afetar a produtividade de ?leo. Dentre os par?metros estudados a permeabilidade horizontal do reservat?rio foi o que apresentou maior influ?ncia significativa ao processo seguido da heterogeneidade. Na segunda etapa foram selecionados tr?s modelos e estudado alguns par?metros operacionais, tais como: vaz?o de inje??o, dist?ncia entre po?os, tempo de produ??o e intervalos de completa??o. Dentre os par?metros operacionais estudados as baixas vaz?es e as dist?ncias entre po?os intermedi?rias foram as que apresentaram as melhores recupera??es

Made available in DSpace on 2014-12-17T14:08:43Z (GMT). No. of bitstreams: 1 TiagoPC_DISSERT.pdf: 1471839 bytes, checksum: 916c40a19572e874803d077f6852a370 (MD5) Previous issue date: 2010-09-18 / In Brazilian Northeast there are reservoirs with heavy oil, which use steam flooding as a recovery method. This process allows to reduce oil viscosity, increasing its mobility and consequently its oil recovery. Steam injection is a thermal method and can occurs in continues or cyclic form. Cyclic steam stimulation (CSS) can be repeated several times. Each cycle consisting of three stages: steam injection, soaking time and production phase. CSS becomes less efficient with an increase of number of cycles. Thus, this work aims to study the influence of compositional models in cyclic steam injection and the effects of some parameters, such like: flow injection, steam quality and temperature of steam injected, analyzing the influence of pseudocomponents numbers on oil rate, cumulative oil, oil recovery and simulation time. In the situations analyzed was compared the model of fluid of three phases and three components known as Blackoil . Simulations were done using commercial software (CMG), it was analyzed a homogeneous reservoir with characteristics similar to those found in Brazilian Northeast. It was observed that an increase of components number, increase the time spent in simulation. As for analyzed parameters, it appears that the steam rate, and steam quality has influence on cumulative oil and oil recovery. The number of components did not a lot influenced on oil recovery, however it has influenced on gas production / No Nordeste brasileiro existem reservat?rios de ?leos pesados, nos quais se utiliza a inje??o de vapor como m?todo de recupera??o. Este processo permite diminuir a viscosidade do ?leo, aumentando a sua mobilidade e melhorando o volume de ?leo a ser recuperado. A inje??o de vapor ? um m?todo t?rmico e ocorre na forma cont?nua ou c?clica. A inje??o c?clica de vapor pode ser repetida diversas vezes. Cada ciclo consiste de tr?s etapas distintas: a fase de inje??o, fase de fechamento (soaking) e fase de produ??o. A inje??o c?clica se torna menos eficiente ? medida que o n?mero de ciclos aumenta. Neste sentido, este trabalho visa estudar a influ?ncia de modelos composicionais na inje??o c?clica de vapor e os efeitos de alguns par?metros, tais como: vaz?o de inje??o, qualidade do vapor e temperatura do vapor injetado; analisando a influ?ncia do n?mero de pseudocomponentes, no que diz respeito ? vaz?o de ?leo, produ??o acumulada de ?leo, fator de recupera??o e tempo de simula??o. Nas situa??es analisadas foi comparado o modelo de fluido de tr?s fases e tr?s componentes conhecido como Black-oil . Foram realizadas simula??es, utilizando um simulador comercial a partir de um modelo de reservat?rio homog?neo com caracter?sticas similares ?s encontradas no Nordeste brasileiro. Observou-se que quanto maior o n?mero de componentes, maior ? o tempo gasto na simula??o. J? para os par?metros analisados, verifica-se que a vaz?o de inje??o de vapor e a qualidade do vapor influenciam na produ??o acumulada de ?leo e no fator de recupera??o. O n?mero de componentes n?o exerceu muita influ?ncia na produ??o acumulada, nem no fator de recupera??o de ?leo, por?m foi significativa na produ??o de g?s do sistema

Made available in DSpace on 2014-12-17T14:48:17Z (GMT). No. of bitstreams: 1 EdmilsonCR_DISSERT.pdf: 2891870 bytes, checksum: f918eb51bee8f43b778a96c5fd23f003 (MD5) Previous issue date: 2014-04-07 / The aim of this work is the numerical simulation of the mechanical performance of concrete affected by Alkali-Aggregate Reaction or RAA, reported by Stanton in 1940. The RAA has aroused attention in the context of Civil Engineering from the early 80, when they were reported consequences of his swelling effect in concrete structures, including cracking, failure and loss of serviceability. Despite the availability of experimental results the problem formulation still lacks refinement so that your solution remains doubtful. The numerical simulation is important resource for the assessment of damages in structures caused by the reaction, and their recoveries The tasks of support of this work were performed by means of the finite element approach, about orthotropic non-linear formulation, and, thermodynamic model of deformation by RAA. The results obtained revealed that the swelling effect of RAA induced decline of the mechanical performance of concrete by decreasing the margin of safety prior to the material failure. They showed that the temperature influences, exclusively, the kinetics of the reaction, so that the failure was the more precocious the higher the temperature of the solid mass of concrete / O objetivo deste trabalho ? a simula??o num?rica do desempenho Mec?nico de membros de concreto afetados pela Rea??o ?lcali-Agregado ou RAA, reportada por Stanton em 1940. A RAA despertou a aten??o no ?mbito da Engenharia Civil a partir da d?cada de 80, quando foram relatadas consequ?ncias de seu efeito expansivo em estruturas de concreto, incluindo fissura??o, ru?na e perda de funcionalidade. Apesar da disponibilidade de resultados experimentais a formula??o do problema ainda carece de aperfei?oamento de modo que sua solu??o permanece duvidosa. A simula??o num?rica ? recurso importante para a avalia??o de danos em estruturas provocados pela rea??o, e suas recupera??es. As tarefas de suporte desse trabalho foram realizadas mediante a aproxima??o por elementos finitos, sobre formula??o ortotr?pica n?o linear, e, modelo termodin?mico de deforma??es por RAA. Os resultados obtidos revelaram que o efeito expansivo da RAA induziu o decl?nio do desempenho mec?nico do concreto diminuindo a margem de seguran?a pr?via ? ru?na do material. Ficou evidente que a temperatura influencia, exclusivamente, a cin?tica da rea??o, de modo que a ru?na foi tanto mais precoce quanto maior a temperatura da massa s?lida do concreto

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-08-16T22:25:59Z No. of bitstreams: 1 GilmarAlexandreGuedesJunior_DISSERT.pdf: 5929995 bytes, checksum: a36bb4fc00b8498bf0fbb8727e65d0ec (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-08-23T21:46:54Z (GMT) No. of bitstreams: 1 GilmarAlexandreGuedesJunior_DISSERT.pdf: 5929995 bytes, checksum: a36bb4fc00b8498bf0fbb8727e65d0ec (MD5) / Made available in DSpace on 2016-08-23T21:46:54Z (GMT). No. of bitstreams: 1 GilmarAlexandreGuedesJunior_DISSERT.pdf: 5929995 bytes, checksum: a36bb4fc00b8498bf0fbb8727e65d0ec (MD5) Previous issue date: 2016-04-29 / A prov?ncia pr?-sal ? composta por grandes acumula??es de ?leo leve, de excelente qualidade e com alto valor comercial, uma realidade que coloca o Brasil em uma posi??o estrat?gica frente ? grande demanda de energia mundial. Nessa prov?ncia encontram-se as maiores descobertas realizadas no mundo nos ?ltimos dez anos; as ?reas de Libra, de Franco e o Campo de Lula, todas com volumes superiores a 8 bilh?es de barris de ?leo recuper?veis. Para desenvolver e otimizar a produ??o desses campos, foi feito um estudo para escolha dos m?todos de recupera??o avan?ada, tendo como principais motiva??es a presen?a do di?xido de carbono (CO2) como contaminante e a decis?o estrat?gica de n?o o descartar, combinada ? alta RGO (raz?o g?s-?leo) do fluido do reservat?rio. O m?todo deveria tirar vantagem dos ?nicos recursos abundantes: a ?gua do mar e o g?s produzido. Dessa maneira, o processo de combinar esses recursos na inje??o alternada de ?gua e g?s (WAG) passou a ser visto como uma boa op??o. Nessa disserta??o, foi desenvolvido um modelo de reservat?rio com caracter?sticas do pr?-sal brasileiro, sendo aplicado o m?todo de recupera??o avan?ada de inje??o alternada de ?gua e g?s. O potencial de produ??o desse reservat?rio foi analisado por meio de par?metros como: fluido que inicia o processo de inje??o, posi??o das completa??es dos po?os injetores, bem como vaz?es de inje??o de ?gua e de g?s e o tempo de ciclo de cada fluido injetado. Os resultados mostraram um bom desempenho do m?todo WAG-CO2 misc?vel, com ganhos de at? 26% no FR com rela??o a recupera??o prim?ria, j? a aplica??o da inje??o de ?gua e de g?s, de maneira individual, n?o foi capaz de superar o patamar de 10% de ganho. O par?metro de maior influ?ncia nos resultados foi o tempo de ciclo, com maiores valores de FR obtidos com a utiliza??o dos menores tempos. / The pre-salt province is composed by large amounts of light oil and with good quality, a reality that puts Brazil in a strategic position facing the great demand for energy worldwide. In this province are the largest discoveries in the world in the last ten years; areas as Libra, Franco and Lula field, everyone containing volumes greater than 8 billion recoverable oil barrels. To develop and optimize the production of these fields, a study was done for choosing the improved oil recovery methods. The main motivations were the presence of carbon dioxide (CO2) as a contaminant and the strategic decision of do not discard it, combined with high GOR (gas-oil ratio) of the reservoir fluid. The method should take advantage of the unique abundant resources: seawater and produced gas. This way, the process of matching these resources in the water alterning gas injection (WAG) became a good option. In this master?s dissertation, it was developed a reservoir model with average characteristics of the Brazilian pre-salt, where was applied the improved oil recovery method of water alternating gas. The production of this reservoir was analyzed by parameters as: the first fluid injected in the injection process, position of the injection wells completion, injection water and gas rate and cycle time. The results showed a good performance of the method, with up to 26% of gains in the recovery factor regarding the primary recovery, since the application of water injection and gas, individually, was not able to overcome 10 % of gain. The most influential parameter found in the results was the cycle time, with higher recovery factor values obtained with the use of shorter times.

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-08-27T00:31:10Z No. of bitstreams: 1 AlleneDeLourdesSoutoDeMoura_DISSERT.pdf: 5567423 bytes, checksum: 8ec48193c0808bf559ec17f275d69b74 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-09-02T20:22:39Z (GMT) No. of bitstreams: 1 AlleneDeLourdesSoutoDeMoura_DISSERT.pdf: 5567423 bytes, checksum: 8ec48193c0808bf559ec17f275d69b74 (MD5) / Made available in DSpace on 2016-09-02T20:22:39Z (GMT). No. of bitstreams: 1 AlleneDeLourdesSoutoDeMoura_DISSERT.pdf: 5567423 bytes, checksum: 8ec48193c0808bf559ec17f275d69b74 (MD5) Previous issue date: 2016-05-06 / Grande parte das reservas de hidrocarbonetos atualmente existentes s?o formadas por ?leos pesados e devido a sua alta viscosidade, os m?todos convencionais n?o s?o capazes de desloca-los at? o po?o produtor de maneira satisfat?ria, deixando um grande volume de ?leo retido no reservat?rio. Um dos m?todos utilizados para a recupera??o de ?leo pesado ? o m?todo t?rmico, que tem como caracter?stica principal reduzir a viscosidade do ?leo facilitando assim seu deslocamento at? o po?o produtor. Os m?todos t?rmicos podem utilizar-se da inje??o de energia em forma de calor no reservat?rio, onde faz com que a temperatura do ?leo aumente, diminuindo assim sua viscosidade e consequentemente melhorando a sua mobilidade. O Nordeste Brasileiro possui principalmente muitos reservat?rios de ?leo pesado, onde ? aplicado o m?todo de inje??o de vapor na forma cont?nua. A inje??o cont?nua de vapor atua tanto termicamente como mecanicamente no reservat?rio, al?m do calor latente transmitido ao reservat?rio aquecer o ?leo nele existente, proporcionando assim uma redu??o da sua viscosidade, ele o desloca at? o po?o produtor. O desempenho deste processo pode ser afetado significativamente por determinados par?metros operacionais e geom?tricos do reservat?rio. O objetivo principal deste trabalho foi estudar diferentes dist?ncias entre po?os no processo de inje??o de vapor, aplicando-o em um reservat?rio semissint?tico com caracter?sticas semelhantes aos encontrados no Nordeste Brasileiro, al?m disso foi realizada uma an?lise econ?mica dos modelos estudados atrav?s do VPL (Valor Presente L?quido). Para realizar o trabalho foi utilizado um programa de simula??o num?rica de reservat?rios da CMG (Computer Modeling Group), o software STARS (Steam, Thermal and Advanced Processes Reservoir Simulator). Verificou-se que, aumentando-se a vaz?o de vapor at? um determinado valor, h? um incremento na produ??o. Em rela??o ?s dist?ncias entre os po?os, quanto menor, mais r?pido o ?leo atinge o po?o produtor, al?m de atingir sua produ??o m?xima antecipadamente em rela??o ?s maiores. Por?m ? indispens?vel analisar a viabilidade econ?mica do projeto, pois de acordo com os resultados uma maior produ??o n?o necessariamente acarretar? em um melhor retorno financeiro. / Some of the existing hydrocarbon reserves currently are comprised of heavy oils and due to its high viscosity, conventional methods are not able to move it until the well producer satisfactorily, leaving large volume of trapped oil in reservoir. One method for heavy oil recovery is the thermal method, which has a main characteristic reduce the oil viscosity facilitating its displacement to the well producer. The thermal methods heat back on energy injection in the form of heat in the reservoir, where it causes the oil temperature increase, reducing so his viscosity and therefore improving their mobility. The Brazilian Northeast has many mainly heavy oil reservoirs, where are implemented continuous steam injection method. The continuous steam injection acts both thermally as mechanically in the reservoir, beside the latent heat transmitted to heat the oil in the reservoir, thus providing a reduction in viscosity, it pushes up the production well. The performance of this process can be significantly affected by certain operating and geometric parameters of the reservoir. The main objective of this work was to study different distances between wells in the steam injection process, applying it in a semi-synthetic reservoir with characteristics similar to those found in Brazilian Northeast and to complete was realized an economic analysis of the models studied using of the NPV (Net Present Value). To do the work was used a numerical simulation program reservoirs of CMG (Computer Modeling Group), the STARS (Steam, Thermal and Advanced Process Reservoir Simulator) software. It was found that increasing the steam flow to a certain value there is an increase in oil production. About the distances, how smaller, faster the oil reaches the production well. However it is essential to analyze the economic feasibility of the project, because of according to the results the largest production not necessarily will bring in a better return.

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-08-27T00:31:10Z No. of bitstreams: 1 AntonioItaloAlvesDeOliveira_DISSERT.pdf: 4463689 bytes, checksum: 551e6cfc6b5b3ee103a6159082da29de (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-09-02T20:35:09Z (GMT) No. of bitstreams: 1 AntonioItaloAlvesDeOliveira_DISSERT.pdf: 4463689 bytes, checksum: 551e6cfc6b5b3ee103a6159082da29de (MD5) / Made available in DSpace on 2016-09-02T20:35:09Z (GMT). No. of bitstreams: 1 AntonioItaloAlvesDeOliveira_DISSERT.pdf: 4463689 bytes, checksum: 551e6cfc6b5b3ee103a6159082da29de (MD5) Previous issue date: 2016-04-19 / A descoberta do pr?-sal em 2006 trouxe novas expectativas para o futuro do setor petrol?fero no Brasil. Por?m, muitos desafios est?o relacionados ? atividade de explora??o e produ??o daquela regi?o, como por exemplo a perfura??o de uma extensa camada de sal, quest?es de log?stica e a alta concentra??o de CO2 (entre 8% e 12%). Esse g?s associado ao g?s natural n?o pode apenas ser lan?ado para atmosfera por quest?es ambientais e, portanto, a reinje??o desse g?s pode ser uma alternativa vi?vel. O CO2 causa inchamento do ?leo, reduzindo sua viscosidade e, portanto, facilita o fluxo de ?leo para o po?o produtor. Foi modelado um reservat?rio com caracter?sticas do pr?-sal no simulador comercial da CMG (Computer Modelling Group). Foram analisados par?metros como vaz?o de inje??o, dist?ncia vertical entre os po?os produtor e injetor, comprimento dos po?os e dist?ncia do po?o produtor ? base do reservat?rio e como esses par?metros influenciam no processo. O tempo total de projeto foi de 35 anos e as an?lise ocorreram para o primeiro ano de projeto, 2 anos 5, 15. 20 e 35 anos. O melhor caso conferiu um fator de recupera??o de 60% e em todos os anos, a vaz?o de inje??o foi o par?metro que mais influenciou no projeto. Em seguida procedeu-se uma an?lise econ?mica para dois cen?rios: comprando CO2 e transportando atrav?s de um carboduto e reinjetando o mesmo no po?o a partir da separa??o do g?s da corrente de g?s natural. A partir da viabilidade econ?mica dos dois projetos, foi analisado os impactos no VPL de oscicla??es dos componentes do fluxo de caixa . / The Discovery of Pr?-Sal (huge oil field located in a pre-salt layer undersea) in 2006 increased the persperctive of petroleum production to Brazil. Characterized as an light oil (28? - 30? API) comparing to the national average, many challenges were overcome to make the exploration economically viable. One of the problems found to produce oil from that region was the high percentage of carbon dioxide (between 8% and 12%), reaching 75% molar in some regions like J?piter field. The alternative found was to reinject the carbon dioxide from the separation of the natural g?s made on own production platform (an FPSO). The reinjection study was realized from the modeling of an light oil, with 8% of carbon dioxide, and an homogeneous oil reservoir, semi-synthetic, with similar characteristics to that region. It was implemented a Project with a time of 35 years and studied the following paramethers: Carbon dioxide flow rate, vertical distance between horizontal rigs used, distance from the rig to the base of the reservoir and the length of the producer rig to the injector rig. After choosing the best scenario, it was realized an analysis of the sensibility related to the injection flow rate reaching a fraction of recovered oil of 64%. In sequence, was realized an economic analysis from two cases: for the first one was admitted the purchase of carbon dioxide from an anthropogenic source and its transport to the platform made by a carboduct. The second case was considered the reinjection of produced gas by the rig from the process of membrane permeation with posterior reinjection. The first one obtained a maximum NPV (Net Present Value) of US$129.885.806,68 and the second one a maximum NPV of US$325.329.657,00. At last, was realized an uncertainty analysis towards the components values of the cash flow for both cases, verifying wich components is more sensitive to the NPV.