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ETDs @PUC-Rio
Estatística
Título: STREAMLINE TRACING FOR OIL NATURAL RESERVOIRS BASED ON ADAPTIVE NUMERICAL METHODS
Autor: ERICSSON DE SOUZA LEAL
Colaborador(es): WALDEMAR CELES FILHO - Orientador
Catalogação: 27/OUT/2015 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25348&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25348&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.25348
Resumo:
Traditionally, streamlines in discrete models of natural oil reservoirs are traced by solving an ordinary differential equation in a cell-by-cell way, using analytical or numerical solutions, considering the local velocity of each cell. This strategy has a disadvantage: the streamline is traced considering a discrete, and so discontinuous, vector field. Furthermore, for massive models, to solve the equation in a cell-by-cell way may be inefficient. In this work, we explore a different strategy: the streamline tracing considers a continuous vector field represented by the discrete model. Therefore, we propose: (i) to use a spatial structure to speed up the point location process inside the reservoir model; (ii) to use spherical interpolation to obtain the velocity field from the discrete model; (iii) to use an adaptive numerical method to control the numerical error from the integration process. The results obtained for actual reservoir models demonstrate that the proposed method fulfills the precision requirements, keeping a good performance.
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