Dissertações em Geofísica (Mestrado) - CPGF/IG
URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/4993
O Mestrado Acadêmico pertente a o Programa de Pós-Graduação em Geofísica (CPGF) do Instituto de Geociências (IG) da Universidade Federal do Pará (UFPA).
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Navegando Dissertações em Geofísica (Mestrado) - CPGF/IG por Autor "AMARAL, Mádio da Silva"
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Item Acesso aberto (Open Access) Correlação de poços com múltiplos perfis através da rede neural multicamadas(Universidade Federal do Pará, 2001-11-23) AMARAL, Mádio da Silva; ANDRADE, André José Neves; http://lattes.cnpq.br/8388930487104926Stratigraphic correlation using well logs is a non-trivial geological activity and subject to endless possibilities of misunderstanding about the geometry or continuity of rock layers, for many reasons, like the geological variability and the ambiguous answers of the log tools. Thus, it is common to utilize a great log suite from the same well, for better comprehension. The stratigraphic correlation is a fundamental tool for a geologist or petroleum geophysist, because from its knowledge it is possible to interpret the hydraulic continuities of the reservoirs and to reconstruct the geological setting environment, which may corroborate for the construction of the reservoir geological model. This work produces an automation of manual activities involved in the stratigraphic correlation, with the use of the various well logs, and a convenient architecture of artificial neural network, trained with the backpropagation algorithm. The stratigraphic correlation, obtained from this method, makes the transport of the geological information possible along the basin and gives the interpreter, a general view of the structural behavior of the oil reservoir. With This methodology was possible the automatic construction of a geological block diagram showing the spatial disposition of a particular shale layer, from the well logs: Gamma Ray (GR), Clay Volume (Vsh), Density (ρb) and the Neutron Porosity (φn), selected in the five wells on the Maracaibo Lake basin, in Venezuela.