Made available in DSpace on 2014-12-17T15:42:17Z (GMT). No. of bitstreams: 1
KyteriaSLF_TESE.pdf: 2934284 bytes, checksum: 962e569af56d47cdfb0e3425d7b7a8b9 (MD5)
Previous issue date: 2013-02-26 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / This study investigates the chemical species produced water from the reservoir areas of
oil production in the field of Monte Alegre (onshore production) with a proposal of
developing a model applied to the identification of the water produced in different zones or
groups of zones.Starting from the concentrations of anions and c?tions from water produced
as input parameters in Linear Discriminate Analysis, it was possible to estimate and compare
the model predictions respecting the particularities of their methods in order to ascertain
which one would be most appropriate. The methods Resubstitution, Holdout Method and
Lachenbruch were used for adjustment and general evaluation of the built models. Of the
estimated models for Wells producing water for a single production area, the most suitable
method was the "Holdout Method and had a hit rate of 90%. Discriminant functions (CV1,
CV2 and CV3) estimated in this model were used to modeling new functions for samples
ofartificial mixtures of produced water (producedin our laboratory) and samples of mixtures
actualproduced water (water collected inwellsproducingmore thanonezone).The experiment
with these mixtures was carried out according to a schedule experimental mixtures simplex
type-centroid also was simulated in which the presence of water from steam injectionin these
tanks fora part of amostras. Using graphs of two and three dimensions was possible to
estimate the proportion of water in the production area / Esse estudo investiga as esp?cies qu?micas presentes na ?gua produzida proveniente das
zonas reservat?rio de produ??o de petr?leo no campo de Monte Alegre (produ??o onshore )
com a proposta de desenvolver um modelo aplicado ? identifica??o da ?gua produzida nas
diferentes zonas ou grupos de zonas. A partir das concentra??es de ?nions e c?tions da ?gua
produzida como par?metros de entrada na An?lise Discriminante Linear, foi poss?velcomparar
os modelos de previs?o, respeitando as particularidades dos m?todos aplicados, a fim de
indagar qual deles seria o mais adequado. Os m?todos Resubstitui??o, "Holdout Method" e
Lachenbruch foram utilizados para ajuste e avalia??o geral dos modelos constru?dos. Dos
modelos estimados para po?os produzindo ?gua por uma ?nica zona de produ??o, o m?todo
mais adequado foi o "Holdout Method que apresentou taxa de acerto de 90%. As fun??es
discriminantes (CV1, CV2 e CV3) estimadas nesse modelo foram utilizadas para modelar
novas fun??es para amostras de misturas artificiais de ?gua produzida (produzidas em
laborat?rio) e amostras de misturas reais de ?gua produzida (coletadas em po?os produzindo
?gua por mais de uma zona). O experimento com as referidas misturas foi executado de
acordo com um planejamento experimental para misturas do tipo simplex-centroid no qual
tamb?m, foi simulada a presen?a de ?gua proveniente de inje??o de vapor nestes reservat?rios
para uma parte das amostras. Utilizando gr?ficos de duas e tr?s dimens?es foi poss?vel estimar
a propor??o de ?gua nas zona de produ??o
Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/17762 |
Date | 26 February 2013 |
Creators | Figueredo, Kyt?ria Sabina Lopes de |
Contributors | CPF:13893734449, http://lattes.cnpq.br/2791074318745945, Vivacqua, Carla Almeida, CPF:01817820737, http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4763099J8, Huitle, Carlos Alberto Martinez, CPF:01139059980, http://lattes.cnpq.br/2485073932883264, Castro, Suely Souza Leal de, CPF:05705753896, http://lattes.cnpq.br/9860381828526444, Souza, Luiz Di, CPF:01925100880, http://lattes.cnpq.br/0589648773241934, Pinho, Andr? Lu?s Santos de, Silva, Djalma Ribeiro da |
Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Qu?mica, UFRN, BR, F?sico-Qu?mica; Qu?mica |
Source Sets | IBICT Brazilian ETDs |
Language | Portuguese |
Detected Language | English |
Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis |
Format | application/pdf |
Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
Rights | info:eu-repo/semantics/embargoedAccess |
Page generated in 0.0068 seconds