Título: | STREAMLINE TRACING FOR OIL NATURAL RESERVOIRS BASED ON ADAPTIVE NUMERICAL METHODS | ||||||||||||
Autor: |
ERICSSON DE SOUZA LEAL |
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Colaborador(es): |
WALDEMAR CELES FILHO - Orientador |
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Catalogação: | 27/OUT/2015 | Língua(s): | PORTUGUESE - BRAZIL |
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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. |
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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 |
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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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