Navegando por Assunto "Well logging"

Agora exibindo 1 - 3 de 3

Acesso aberto (Open Access)
Cálculo da porosidade: identificação do argilomineral
(Universidade Federal do Pará, 2017-04-20) ALMEIDA, Thales Luiz Pinheiro de; ANDRADE, André José Neves; http://lattes.cnpq.br/8388930487104926
In 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 aberto (Open Access)
Utilização de medidas elétricas e eletromagnéticas para a prospecção de água subterrânea em Jacundá (Pa)
(Universidade Federal do Pará, 2014-02-27) MENDES, Marcelo Fernandes; SILVA, Marcos Welby Correa; http://lattes.cnpq.br/3213216758254128
The Jacundá city has a public water system supply in its infancy. From the source surface it is not perennial, small flow and serves less than 20% of the population. Open and shallow tube wells are sources of particular use, limited and seasonal. However, the flow of two deep wells, built in the city, gave evidence that alternative underground water could be a good solution for the local supply. This fact gave rise to a geophysical study to determine the deeper strata permeable. We used nine vertical electrical sounding, whose interpretation acceptd was guided by the geophysical results obtained in a hole. As a result, the models of VES's packets identified two distinct layers resistivity: A package higher, more resistive a total thickness less than 30 meters, was associated with the Itapecuru formation which, is predominantly sandy hydrogeological and weak. And the other, a substrate of low resistivity, it was assumed corresponding to the Codó Formation shales. The interpretation of Slingram data support this result. The hydrogeological potential of this second package is in the shale interbedded sandstone, which may mean the solution for the management of water supply in the city.
Acesso aberto (Open Access)
Zoneamento de poços através da inferência Fuzzy
(Universidade Federal do Pará, 2015-06-26) RUIZ TAPIA, Alberto José; ANDRADE, André José Neves; http://lattes.cnpq.br/8388930487104926
Well zoning may be understood as the geological characterization (location and facies description) of each layer crossed by the borehole trajectory. Well zoning is a common activity in conventional core analysis and important for petroleum geology, assisting the construction of stratigraphic column and also for petroleum engineering aiding in the development of the well exploitation plan. This work presents a method for well zoning wells of non cored boreholes, so that the information gained in these wells can contribute to improve the knowledge of sedimentology and oilfield engineering. The method showed here uses the core description for building the knowledge base of a fuzzy inference system, which operates with P parameter (a new combination of density log and sonic log), parameter M (M-N plot) and the natural gamma ray log and the deep resistivity log. Operation of this fuzzy inference system using log data from non cored borehole produces the well zoning of each non cored borehole. This method is presented with synthetic data satisfying the petrophysical model and the Archie Law, and real data of two cored boreholes from the Namorado oilfield, in the Campos Basin.