2019-09-272019-09-272017-04-20ALMEIDA, Thales Luiz Pinheiro de. Cálculo da porosidade: identificação do argilomineral. Orientador: André José Neves Andrade. 2017. 53 f. Dissertação (Mestrado em Geofísica) - Instituto de Geociências, Universidade Federal do Pará, Belém, 2017. Disponível em: http://repositorio.ufpa.br/jspui/handle/2011/11869. Acesso em:.https://repositorio.ufpa.br/handle/2011/11869In the daily practice of Formation Evaluation it is common the adoption of simplifying hypotheses or premises about the physical properties of the reservoir rock constituent materials to allow the porosity calculation. The knowledge of the physical properties of the clay in the reservoir rock is fundamental for porosity calculation. In this work it is argued that the physical properties of the clay mineral in the reservoir rock are different from the mean physical properties of the nearby shale layers. Geologically, the clay is one of the constituent materials of shale rock and to admit that the physical properties of the shale are equal to the physical properties of the clay in the reservoir rock means to disregard all the other constituents and to assume a sedimentary continuity that due to numerous postpositional processes may not occur. In this work, we apply the angular competitive neural network to the Density- Neutron Plot to show that if a reservoir rock and a shale present in the basin have the same clay, they have the same angular pattern. This methodology is presented with synthetic data and evaluated with actual well logs and core analysis from borehole drilled in the Namorado’s field, in the Campos Basin, Brazil.Acesso AbertoPerfilagem geofísica de poçosPorosidadeRedes neurais - ComputaçãoWell loggingPorosityShale volumeDissertaçãoCNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOFISICAAPLICAÇÃO E DESENVOLVIMENTO DE ALGORITMOS INTELIGENTES AO ESTUDO DE RESERVATÓRIOS DE HIDROCARBONETOSGEOFÍSICA DE POÇO