Metodologias estatísticas aplicadas a dados de análises químicas da água produzida em um campo maduro de petróleo

• Ano de defesa: 2012
• Autor(a) principal: Mendes, Débora Cosme Pereira
• Orientador(a): Silva, Djalma Ribeiro da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência e Engenharia do Petróleo
• Departamento: Pesquisa e Desenvolvimento em Ciência e Engenharia de Petróleo
• País: BR
• Palavras-chave em Português: Análise de componentes principais; Análise de perfis; Análise discriminante; Campos maduros; Hidroquímica; Petróleo; Zonas de produção.
• Palavras-chave em Inglês: Principal components analysis; Profile analysis; Discriminant analysis; Mature fields; Hydrochemistry; Oil; Production zones.
• Área do conhecimento CNPq: CNPQ::OUTROS
• Link de acesso: https://repositorio.ufrn.br/jspui/handle/123456789/12972

Produced water is characterized as one of the most common wastes generated during exploration and production of oil. This work aims to develop methodologies based on comparative statistical processes of hydrogeochemical analysis of production zones in order to minimize types of high-cost interventions to perform identification test fluids - TIF. For the study, 27 samples were collected from five different production zones were measured a total of 50 chemical species. After the chemical analysis was applied the statistical data, using the R Statistical Software, version 2.11.1. Statistical analysis was performed in three steps. In the first stage, the objective was to investigate the behavior of chemical species under study in each area of production through the descriptive graphical analysis. The second step was to identify a function that classify production zones from each sample, using discriminant analysis. In the training stage, the rate of correct classification function of discriminant analysis was 85.19%. The next stage of processing of the data used for Principal Component Analysis, by reducing the number of variables obtained from the linear combination of chemical species, try to improve the discriminant function obtained in the second stage and increase the discrimination power of the data, but the result was not satisfactory. In Profile Analysis curves were obtained for each production area, based on the characteristics of the chemical species present in each zone. With this study it was possible to develop a method using hydrochemistry and statistical analysis that can be used to distinguish the water produced in mature fields of oil, so that it is possible to identify the zone of production that is contributing to the excessive elevation of the water volume.