Estudos hidroqu?micos da ?gua produzida de um determinado campo de petr?leo da bacia potiguar

• Main Author: Sena, Shirley Feitosa Machado
• Other Authors: CPF:13893734449
• Format: Others
• Language: Portuguese
• Published: Universidade Federal do Rio Grande do Norte 2014
• Subjects: ?gua produzida; Hidroqu?mica; An?lise discriminante; Bacia potiguar; Zonas-Reservat?rio; Produced Water; Hydrochemistry; Discriminant Analysis; Potiguar Basin; Reservoir zones; CNPQ::ENGENHARIAS::ENGENHARIA QUIMICA::TECNOLOGIA QUIMICA::PETROLEO E PETROQUIMICA
• Online Access: http://repositorio.ufrn.br:8080/jspui/handle/123456789/12950

Made available in DSpace on 2014-12-17T14:08:46Z (GMT). No. of bitstreams: 1 ShirleyFMS_DISSERT_parcial.pdf: 156702 bytes, checksum: 946fe2ea3a673657c92a1d9cf7dbf34a (MD5) Previous issue date: 2011-02-28 === Petr?leo Brasileiro SA - PETROBRAS === Waste generated during the exploration and production of oil, water stands out due to various factors including the volume generated, the salt content, the presence of oil and chemicals and the water associated with oil is called produced water. The chemical composition of water is complex and depends strongly on the field generator, because it was in contact with the geological formation for thousands of years. This work aims to characterize the hydrochemical water produced in different areas of a field located in the Potiguar Basin. We collected 27 samples from 06 zones (400, 600, 400/600, 400/450/500, 350/400, A) the producing field called S and measured 50 required parameter divided between physical and chemical parameters, cations and anions. In hydrochemical characterization was used as tools of reasons ionic calculations, diagrams and they hydrochemical classification diagram Piper and Stiff diagram and also the statistic that helped in the identification of signature patterns for each production area including the area that supplies water injected this field for secondary oil recovery. The ionic balance error was calculated to assess the quality of the results of the analysis that was considered good, because 89% of the samples were below 5% error. Hydrochemical diagrams classified the waters as sodium chloride, with the exception of samples from Area A, from the injection well, which were classified as sodium bicarbonate. Through descriptive analysis and discriminant analysis was possible to obtain a function that differs chemically production areas, this function had a good hit rate of classification was 85% === Dos res?duos gerados durante a explora??o e produ??o de petr?leo, a ?gua se destaca devido a v?rios fatores, entre eles o volume gerado, o conte?do salino, a presen?a de ?leo e de produtos qu?micos e essa ?gua associada ao petr?leo ? denominada ?gua produzida. A composi??o qu?mica dessa ?gua ? complexa e depende fortemente do campo gerador, pois a mesma esteve em contato com a forma??o geol?gica por milhares de anos. Esse trabalho tem como objetivo caracterizar hidroqu?micamente a ?gua produzida em diferentes zonas de um campo localizado na Bacia Potiguar. Foram coletadas 27 amostras provenientes de 06 zonas (400, 600, 400/600, 400/450/500, 350/400, A) produtoras do campo denominado S e medidos 50 par?mentos divididos entre par?metros f?sico-qu?micos, c?tions e ?nions. Na caracteriza??o hidroqu?mica foi utilizado como ferramentas c?lculos de raz?es i?nicas, diagramas de classifica??o hidroqu?mica sendo eles o diagrama de Piper e o diagrama de Stiff e tamb?m a estat?stica que auxiliou nas identifica??es de assinaturas padr?es de cada zona de produ??o inclusive a zona que fornece a ?gua injetada nesse campo para a recupera??o secund?ria de petr?leo. O erro do balan?o i?nico foi calculado para avaliar a qualidade dos resultados das an?lises que foi considerada boa, pois 89% das amostras apresentaram erro abaixo de 5%. Os diagramas hidroqu?micos classificaram as ?guas como Cloretadas S?dicas, com exce??o das amostras da zona A, proveniente do po?o injetor, que foram classificadas como Bicarbonatadas S?dicas. Atrav?s da an?lise descritiva e da an?lise de discriminante foi poss?vel a obten??o de uma fun??o que distingue quimicamente as zonas de produ??o, essa fun??o apresentou uma boa taxa de acerto de classifica??o que foi de 85%