Crude oil recovery is related to surface wettability, which is controlled by crude interactions with rock surfaces. Understanding these interactions is associated with studying the complex asphaltenes that (1) are irreversibly deposited from oil-brine interfaces onto reservoir mineral surfaces, (2) are bulky super-molecules and (3) incorporate several chemical groups by stacking aromatic rings together. This is a difficult task because of varying crude oil composition, asphaltene interfacial and chemical activity, and the potential of irreversibly contaminating analytical equipment by such substances. To overcome these challenges, we split the problem into parts by studying how different mono- and poly-functional groups mimic asphaltene interaction with mineral surfaces, such as silica and calcium carbonate. The amine, carboxylate, and sulfate groups were identified as the highest potential functional groups responsible for asphaltene adsorption. Experiments included quartz crystal micro-balance with dissipation, bulk adsorption, and core samples. Adsorption tests for the mono-functional surfactants studied were fully reversible and, therefore, not representative of asphaltenes. Poly-functional compounds demonstrated irreversible adsorption, mimicking asphaltenes, through ion exchange and ion-bridging, depending on the type of functional group, chain length, mineral surface, and brine ionic composition. Poly-amines adsorb irreversibly onto silica and calcium carbonate surfaces regardless of the brine ionic composition or surface charge. However, irreversible adsorption of poly-sulfates and poly-carboxylates onto surfaces requires (1) sufficiently long chains and (2) an abundant presence of calcium ions in solution to allow ion-bringing mechanism. These findings suggest that crudes containing amine groups and long chains of carboxylates or sulfates have a higher tendency to be adsorbed onto surfaces and change wettability. This is important for designing an efficient detachment of asphaltenic oil from rock surfaces, where no complete desorption or drastic wettability change is required. The weakening of asphaltene interactions may be sufficient to induce spontaneous imbibition and consequently increase the efficiency of two-phase displacement. This work emphasizes the importance of understating crude-brine-rock interactions for the purpose of oil recovery. In summary, evaluating potential candidates for deploying enhanced oil recovery, such as low salinity waterflooding, should consider rock and crude types, as successful implementation requires “specific” properties collaborating together to enable incremental oil production

Master of Science / Department of Geology / Matthew Totten / The Petersilie oil field in Ness County, Kansas produces out of the Mississippian System, a reservoir composed mainly of shallow water carbonates, at depths of around 4375 ft (1334 m). The lithology of the field ranges from limestone to dolomite, to interlaminated limestone-dolomite beds. Chert is commonly found throughout. Petersilie field lies to the west of the Central Kansas Uplift, and to the east of the Hugoton Embayment. The field saw much drilling activity in the 1960’s, when it reached a production peak of nearly 378,000 barrels of oil per year. Production declined swiftly after that until the late 1990’s, when waterflooding was successfully employed. In this study, a reservoir model was produced for the Mississippian as it occurs in Petersilie field using the Department of Energy’s EdBOAST reservoir modeling software, with the intent of providing a reference for future drilling activity in the Mississippian and determining reservoir characteristics that may have contributed to the effectiveness of waterflooding in this area. The reservoir model was checked by simulation with a companion reservoir simulator program, BOAST 98. Subsequent comparison of simulated and actual oil production curves demonstrates the reliability of well log and drill stem test data for the field and proves the reservoir model to be a good fit for the Mississippian in Petersilie. Production curve analysis of Petersilie indicates the field was an ideal candidate for waterflooding because it has a solution-gas drive mechanism. As the field approached depletion from primary recovery, oil saturations remained high. Petersilie also exhibits high porosity and good permeability. The BOAST software was found to be an effective and inexpensive means for understanding the Mississippian reservoir in central to south-central Kansas. It was determined that BOAST has potential for practical use by smaller independent oil companies targeting the Mississippian in Kansas.

Waterflooding is a common type of oil recovery techniques where water is pumped into the reservoir for increased productivity. Reservoir states change with time, as such, different injection and production settings will be required to lead the process to optimal operation which is actually a dynamic optimization problem. This could be solved through optimal control techniques which traditionally can only provide an open-loop solution. However, this solution is not appropriate for reservoir production due to numerous uncertain properties involved. Models that are updated through the current industrial practice of ‘history matching’ may fail to predict reality correctly and therefore, solutions based on history-matched models may be suboptimal or non-optimal at all. Due to its ability in counteracting the effects uncertainties, direct feedback control has been proposed recently for optimal waterflooding operations. In this work, two feedback approaches were developed for waterflooding process optimization. The first approach is based on the principle of receding horizon control (RHC) while the second is a new dynamic optimization method developed from the technique of self-optimizing control (SOC). For the SOC methodology, appropriate controlled variables (CVs) as combinations of measurement histories and manipulated variables are first derived through regression based on simulation data obtained from a nominal model. Then the optimal feedback control law was represented as a linear function of measurement histories from the CVs obtained. Based on simulation studies, the RHC approach was found to be very sensitive to uncertainties when the nominal model differed significantly from the conceived real reservoir. The SOC methodology on the other hand, was shown to achieve an operational profit with only 2% worse than the true optimal control, but 30% better than the open-loop optimal control under the same uncertainties. The simplicity of the developed SOC approach coupled with its robustness to handle uncertainties proved its potentials to real industrial applications.

Waterflooding is a common type of oil recovery techniques where water is pumped into the reservoir for increased productivity. Reservoir states change with time, as such, different injection and production settings will be required to lead the process to optimal operation which is actually a dynamic optimization problem. This could be solved through optimal control techniques which traditionally can only provide an open-loop solution. However, this solution is not appropriate for reservoir production due to numerous uncertain properties involved. Models that are updated through the current industrial practice of ‘history matching’ may fail to predict reality correctly and therefore, solutions based on history-matched models may be suboptimal or non-optimal at all. Due to its ability in counteracting the effects uncertainties, direct feedback control has been proposed recently for optimal waterflooding operations. In this work, two feedback approaches were developed for waterflooding process optimization. The first approach is based on the principle of receding horizon control (RHC) while the second is a new dynamic optimization method developed from the technique of self-optimizing control (SOC). For the SOC methodology, appropriate controlled variables (CVs) as combinations of measurement histories and manipulated variables are first derived through regression based on simulation data obtained from a nominal model. Then the optimal feedback control law was represented as a linear function of measurement histories from the CVs obtained. Based on simulation studies, the RHC approach was found to be very sensitive to uncertainties when the nominal model differed significantly from the conceived real reservoir. The SOC methodology on the other hand, was shown to achieve an operational profit with only 2% worse than the true optimal control, but 30% better than the open-loop optimal control under the same uncertainties. The simplicity of the developed SOC approach coupled with its robustness to handle uncertainties proved its potentials to real industrial applications.

No description available.

Made available in DSpace on 2014-12-17T14:08:49Z (GMT). No. of bitstreams: 1 CindyPAR_DISSERT.pdf: 3888295 bytes, checksum: 74ba5d896661a5a41c98018b93246cd9 (MD5) Previous issue date: 2012-02-17 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / Oil recovery using waterflooding has been until now the worldwide most applied method, specially for light oil recovery, its success is mainly because of the low costs involved and the facilities of the injection process. The Toe- To-Heel Waterflooding TTHWTM method uses a well pattern of vertical injector wells completed at the bottom of the reservoir and horizontal producer wells completed at the top of it. The main producing mechanism is gravitational segregation in short distance. This method has been studied since the early 90?s and it had been applied in Canada with positive results for light heavy oils, nevertheless it hasn?t been used in Brazil yet. In order to verify the applicability of the process in Brazil, a simulation study for light oil was performed using Brazilian northwest reservoirs characteristics. The simulations were fulfilled using the STARS module of the Computer Modelling Group Software, used to perform improved oil recovery studies. The results obtained in this research showed that the TTHWTM well pattern presented a light improvement in terms of recovery factor when compared to the conventional 5- Spot pattern, however, it showed lower results in the economic evaluation / A recupera??o de ?leo com inje??o de ?gua tem sido at? agora o m?todo mais aplicado no mundo inteiro, principalmente para a recupera??o de ?leos leves; o sucesso deve-se aos baixos custos envolvidos e a facilidade de inje??o. O m?todo Toe-to-Heel Waterflooding TTHWTM utiliza uma configura??o de po?os injetores verticais completados no fundo do reservat?rio e po?os produtores horizontais completados no topo. O mecanismo de produ??o principal ? a segrega??o gravitacional em dist?ncias curtas. Este m?todo tem sido estudado desde o in?cio dos anos 90 e tem sido aplicado no Canad? com resultados positivos para ?leos levemente pesados, no entanto o m?todo ainda n?o tem sido utilizado no Brasil. Para verificar a aplicabilidade do processo no Brasil foi realizado um estudo de simula??o em reservat?rios de ?leo leve com caracter?sticas do Nordeste Brasileiro. O objetivo da pesquisa foi analisar quais os fatores operacionais que podem influenciar no processo. As simula??es foram realizadas utilizando o m?dulo STARS da Computer Modelling Group , com o objetivo de realizar estudos de m?todos de recupera??o avan?ada de ?leo. Os resultados obtidos neste trabalho mostraram que a configura??o de po?os aplicada para este caso apresentou uma leve melhora em rela??o ? configura??o convencional de 5 pontos (5-Spot) em termos de fator de recupera??o, no entanto, apresentou menores resultados na avalia??o econ?mica

De nombreux travaux effectués en laboratoire ou sur des champs pétroliers ont mis en évidence l'influence que peut avoir la salinité de l'eau de balayage sur le déplacement des hydrocarbures. Les premières études documentées sur la capacité de l'injection d'eau de faible salinité à devenir une méthode EOR (augmentation de la récupération) ont débuté dans les années 90 [Jadhunandan & Morrow, 1991] suivies par d'autres auteurs [Lager et al., 2006]. Cependant il n'existe pas, à ce jour, d'explication générale du phénomène. L'objectif de notre étude est d'une part de quantifier, sur un système Huile/Saumure/Roche bien caractérisé, les récupérations additionnelles d'hydrocarbure par injection d'eau diluée, d'autre part, à partir de l'évolution des paramètres physico-chimiques, de proposer des explications aux réactions du milieu poreux conduisant à l'amélioration du déplacement microscopique de l'huile brute. Nous avons effectué nos expériences en considérant un système composé d'un grès d'affleurement (DU3) consolidé de perméabilité moyenne (400-800mdy) contenant 10% d'argile mais pas de kaolinite, d'une huile de gisement (Huile A) contenant 2,3% d'asphaltènes, d'une saumure résidente de concentration égale à 50g/l (90%w NaCl, 10%w CaCl2) et de saumures de faible salinité (1g/l) contenant ou pas des ions divalents. Les résultats des expériences de balayages tertiaires et secondaires ont mis en évidence des récupérations additionnelles d'hydrocarbure comprises entre 9 et 11% (OOIP) lorsqu'on passe de l'injection d'une saumure à 50g/l à une saumure à 1g/l et entre 4 et 6% (OOIP) lorsqu'on passe de 1g/l à 0,1g/l. Ces récupérations additionnelles, qui sont toujours accompagnées de l'augmentation du pH et de la réduction de la perméabilité de l'échantillon, ont lieu à partir d'une valeur seuil de salinité comprise entre 2,5 et 1g/l. Elles sont également observées en l'absence d'ions divalents dans l'eau d'injection. La reprise de production observée après injection de 2 à 3 VP a pour origine un effet de dispersivité diphasique qui est cohérente avec le seuil de salinité nécessaire à la reprise de production. Des observations à l'aide d'un MEB montrent que l'huile résiduelle préserve partiellement les surfaces et empêche le décollement et la libération des particules argileuses. L'augmentation du pH n'est pas le moteur de ce phénomène, elle est due aux réactions simultanées d'échanges ioniques à la surface de la roche et de dissolution des carbonates. La réduction de la perméabilité, comme l'augmentation du pH, est également observée dans les cas où aucune récupération additionnelle d'huile n'a été mise en évidence. Cette réduction de perméabilité est due à l'expansion interparticulaire prévue par la théorie DLVO lors de la diminution de la force ionique. La libération de particules argileuses lors des expériences de traçages monophasiques et le comportement de l'ion divalent Ca++ qui disparaît plus vite des effluents montre l'importance des échanges ioniques dans le déplacement microscopique des hydrocarbures.

Chemical EOR processes such as polymer flooding and surfactant polymer flooding must be designed and implemented in an economically attractive manner to be perceived as viable oil recovery options. The primary expenses associated with these processes are chemical costs which are predominantly controlled by the crude oil properties of a reservoir. Crude oil viscosity dictates polymer concentration requirements for mobility control and can also negatively affect the rheological properties of a microemulsion when surfactant polymer flooding. High microemulsion viscosity can be reduced with the introduction of an alcohol co-solvent into the surfactant formulation, but this increases the cost of the formulation. Experimental research done as part of this study combined the process of hot water injection with ASP flooding as a solution to reduce both crude oil viscosity and microemulsion viscosity. The results of this investigation revealed that when action was taken to reduce microemulsion viscosity, residual oil recoveries were greater than 90%. Hot water flooding lowered required polymer concentrations by reducing oil viscosity and lowered microemulsion viscosity without co-solvent. Laboratory testing of viscous microemulsions in core floods proved to compromise surfactant performance and oil recovery by causing high surfactant retention, high pressure gradients that would be unsustainable in the field, high required polymer concentrations to maintain favorable mobility during chemical flooding, reduced sweep efficiency and stagnation of microemulsions due to high viscosity from flowing at low shear rates. Rough scale-up chemical cost estimations were performed using core flood performance data. Without reducing microemulsion viscosity, field chemical costs were as high as 26.15 dollars per incremental barrel of oil. The introduction of co-solvent reduced chemical costs to as low as 22.01 dollars per incremental barrel of oil. This reduction in cost is the combined result of increasing residual oil recovery and the added cost of an alcohol co-solvent. Heating the reservoir by hot water flooding resulted in combined chemical and heating costs of 13.94 dollars per incremental barrel of oil. The significant drop in cost when using hot water is due to increased residual oil recovery, reduction in polymer concentrations from reduced oil viscosity and reduction of microemulsion viscosity at a fraction of the cost of co-solvent. / text

Made available in DSpace on 2014-12-17T14:08:40Z (GMT). No. of bitstreams: 1 VanessaLAG_DISSERT.pdf: 1481281 bytes, checksum: 8b61d326c9b0fb24441950affcfa1205 (MD5) Previous issue date: 2010-08-20 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / Waterflooding is a technique largely applied in the oil industry. The injected water displaces oil to the producer wells and avoid reservoir pressure decline. However, suspended particles in the injected water may cause plugging of pore throats causing formation damage (permeability reduction) and injectivity decline during waterflooding. When injectivity decline occurs it is necessary to increase the injection pressure in order to maintain water flow injection. Therefore, a reliable prediction of injectivity decline is essential in waterflooding projects. In this dissertation, a simulator based on the traditional porous medium filtration model (including deep bed filtration and external filter cake formation) was developed and applied to predict injectivity decline in perforated wells (this prediction was made from history data). Experimental modeling and injectivity decline in open-hole wells is also discussed. The injectivity of modeling showed good agreement with field data, which can be used to support plan stimulation injection wells / A inje??o de ?gua ? uma t?cnica amplamente utilizada para deslocar o ?leo em dire??o aos po?os produtores e manter a press?o em reservat?rios de petr?leo. Entretanto, part?culas suspensas na ?gua injetada podem ser retidas no meio poroso, causando dano ? forma??o (redu??o de permeabilidade) e perda de injetividade. Quando ocorre essa redu??o de injetividade ? necess?rio aumentar a press?o de inje??o para manter a vaz?o de ?gua injetada. Desse modo, a correta previs?o da perda de injetividade ? essencial em projetos de inje??o de ?gua. Neste trabalho, um simulador, baseado no modelo tradicional da filtra??o em meios porosos (incluindo filtra??o profunda e forma??o do reboco externo), foi desenvolvido e aplicado para prever a perda de injetividade em po?os canhoneados (tal previs?o foi feita a partir de dados de hist?rico). Al?m disso, tamb?m foi discutida a determina??o experimental dos coeficientes do modelo e a perda de injetividade em po?os abertos. A modelagem da injetividade apresentou bom ajuste aos dados de campo, podendo ser utilizada para auxiliar no planejamento de estimula??es de po?os injetores