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Simulador semianal?tico para fluxo em reservat?rios homog?neos fechados utilizando a solu??o da fonte pontual aplicada ao m?todo de elementos de contorno

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Previous issue date: 2016-08-12 / Esta disserta??o apresenta um simulador semi-anal?tico de fluxo em reservat?rios homog?neos fechados atrav?s da aplica??o do m?todo de elementos de contorno (Boundary Element Method - BEM) utilizando a solu??o da fonte pontual em reservat?rio infinito. Este m?todo ? conhecido por prover vantagens valiosas sobre outros m?todos de discretiza??o de dom?nios, como a redu??o no esfor?o de discretiza??o quando comparado ao m?todo de elementos finitos. A implementa??o foi feita na linguagem de programa??o Python associada a bibliotecas amplamente testadas e utilizadas em aplica??es cient?ficas. Os resultados foram validados atrav?s de um simulador semi-anal?tico de funcionamento comprovado e demonstraram-se vi?veis para todos os cen?rios estudados. / Solving the problem of fluid flow inside closed reservoirs holds great importance for the oil industry as
it allows field managers to evaluate oil producing fields and supplies data to infer production and income. One of the most common ways to solve this problem is by using the Images Method, which models closed barriers as image wells, but requires excessive processing power as it depends on the convergence of sums of infinite series. As an alternative to the Images Method, this work presents a semi-analytical simulator for monophasic and laminar fluid flow on closed, homogeneous and isotropic reservoirs based on the Boundary Element Method (BEM) associated with the Green?s function for a point source in an infinite reservoir as the fundamental solution. This method has known advantages over other numerical methods including, mainly, the reduction on discretization efforts. This work applies the Python programming language associated to scientific libraries, thoroughly tested and applied on this area. The simulator was tested on 5 different scenarios (well on infinite reservoir, well on small and large reservoir, and well decentralized on 1 and 2 axis) and was validated through another semi-analytical simulator whose results were already thoroughly tested. On all scenarios, the simulator achieved correlation values of more than 95%.

Identiferoai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/22017
Date12 August 2016
CreatorsAra?jo, Rodrigo Moreira
Contributors09599576420, Lins J?nior, Abel Gomes, 14334968449, Galv?o, Edney Rafael Viana Pinheiro, 04860249461, Medeiros J?nior, Fl?vio, 31698360487, Rodrigues, Marcos Allyson Felipe, 04575614408, Dutra J?nior, Tarcilio Viana
PublisherPROGRAMA DE P?S-GRADUA??O EM CI?NCIA E ENGENHARIA DE PETR?LEO, UFRN, Brasil
Source SetsIBICT Brazilian ETDs
LanguagePortuguese
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis
Sourcereponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN
Rightsinfo:eu-repo/semantics/openAccess

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