999 resultados para Análise substância-campo


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The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis

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In recent years, the DFA introduced by Peng, was established as an important tool capable of detecting long-range autocorrelation in time series with non-stationary. This technique has been successfully applied to various areas such as: Econophysics, Biophysics, Medicine, Physics and Climatology. In this study, we used the DFA technique to obtain the Hurst exponent (H) of the profile of electric density profile (RHOB) of 53 wells resulting from the Field School of Namorados. In this work we want to know if we can or not use H to spatially characterize the spatial data field. Two cases arise: In the first a set of H reflects the local geology, with wells that are geographically closer showing similar H, and then one can use H in geostatistical procedures. In the second case each well has its proper H and the information of the well are uncorrelated, the profiles show only random fluctuations in H that do not show any spatial structure. Cluster analysis is a method widely used in carrying out statistical analysis. In this work we use the non-hierarchy method of k-means. In order to verify whether a set of data generated by the k-means method shows spatial patterns, we create the parameter Ω (index of neighborhood). High Ω shows more aggregated data, low Ω indicates dispersed or data without spatial correlation. With help of this index and the method of Monte Carlo. Using Ω index we verify that random cluster data shows a distribution of Ω that is lower than actual cluster Ω. Thus we conclude that the data of H obtained in 53 wells are grouped and can be used to characterize space patterns. The analysis of curves level confirmed the results of the k-means

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In Brazil and around the world, oil companies are looking for, and expected development of new technologies and processes that can increase the oil recovery factor in mature reservoirs, in a simple and inexpensive way. So, the latest research has developed a new process called Gas Assisted Gravity Drainage (GAGD) which was classified as a gas injection IOR. The process, which is undergoing pilot testing in the field, is being extensively studied through physical scale models and core-floods laboratory, due to high oil recoveries in relation to other gas injection IOR. This process consists of injecting gas at the top of a reservoir through horizontal or vertical injector wells and displacing the oil, taking advantage of natural gravity segregation of fluids, to a horizontal producer well placed at the bottom of the reservoir. To study this process it was modeled a homogeneous reservoir and a model of multi-component fluid with characteristics similar to light oil Brazilian fields through a compositional simulator, to optimize the operational parameters. The model of the process was simulated in GEM (CMG, 2009.10). The operational parameters studied were the gas injection rate, the type of gas injection, the location of the injector and production well. We also studied the presence of water drive in the process. The results showed that the maximum vertical spacing between the two wells, caused the maximum recovery of oil in GAGD. Also, it was found that the largest flow injection, it obtained the largest recovery factors. This parameter controls the speed of the front of the gas injected and determined if the gravitational force dominates or not the process in the recovery of oil. Natural gas had better performance than CO2 and that the presence of aquifer in the reservoir was less influential in the process. In economic analysis found that by injecting natural gas is obtained more economically beneficial than CO2

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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%

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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.

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The study of complex systems has become a prestigious area of science, although relatively young . Its importance was demonstrated by the diversity of applications that several studies have already provided to various fields such as biology , economics and Climatology . In physics , the approach of complex systems is creating paradigms that influence markedly the new methods , bringing to Statistical Physics problems macroscopic level no longer restricted to classical studies such as those of thermodynamics . The present work aims to make a comparison and verification of statistical data on clusters of profiles Sonic ( DT ) , Gamma Ray ( GR ) , induction ( ILD ) , neutron ( NPHI ) and density ( RHOB ) to be physical measured quantities during exploratory drilling of fundamental importance to locate , identify and characterize oil reservoirs . Software were used : Statistica , Matlab R2006a , Origin 6.1 and Fortran for comparison and verification of the data profiles of oil wells ceded the field Namorado School by ANP ( National Petroleum Agency ) . It was possible to demonstrate the importance of the DFA method and that it proved quite satisfactory in that work, coming to the conclusion that the data H ( Hurst exponent ) produce spatial data with greater congestion . Therefore , we find that it is possible to find spatial pattern using the Hurst coefficient . The profiles of 56 wells have confirmed the existence of spatial patterns of Hurst exponents , ie parameter B. The profile does not directly assessed catalogs verification of geological lithology , but reveals a non-random spatial distribution

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This work proposes a model to investigate the use of a cylindrical antenna used in the thermal method of recovering through electromagnetic radiation of high-viscosity oil. The antenna has a simple geometry, adapted dipole type, and it can be modelled by using Maxwell s equation. The wavelet transforms are used as basis functions and applied in conjunction with the method of moments to obtain the current distribution in the antenna. The electric field, power and temperature distribution are carefully calculated for the analysis of the antenna as electromagnetic heating. The energy performance is analyzed based on thermo-fluid dynamic simulations at field scale, and through the adaptation in the Steam Thermal and Advanced Processes Reservoir Simulator (STARS) by Computer Modelling Group (CMG). The model proposed and the numerical results obtained are stable and presented good agreement with the results reported in the specialized literature

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The present study provides a methodology that gives a predictive character the computer simulations based on detailed models of the geometry of a porous medium. We using the software FLUENT to investigate the flow of a viscous Newtonian fluid through a random fractal medium which simplifies a two-dimensional disordered porous medium representing a petroleum reservoir. This fractal model is formed by obstacles of various sizes, whose size distribution function follows a power law where exponent is defined as the fractal dimension of fractionation Dff of the model characterizing the process of fragmentation these obstacles. They are randomly disposed in a rectangular channel. The modeling process incorporates modern concepts, scaling laws, to analyze the influence of heterogeneity found in the fields of the porosity and of the permeability in such a way as to characterize the medium in terms of their fractal properties. This procedure allows numerically analyze the measurements of permeability k and the drag coefficient Cd proposed relationships, like power law, for these properties on various modeling schemes. The purpose of this research is to study the variability provided by these heterogeneities where the velocity field and other details of viscous fluid dynamics are obtained by solving numerically the continuity and Navier-Stokes equations at pore level and observe how the fractal dimension of fractionation of the model can affect their hydrodynamic properties. This study were considered two classes of models, models with constant porosity, MPC, and models with varying porosity, MPV. The results have allowed us to find numerical relationship between the permeability, drag coefficient and the fractal dimension of fractionation of the medium. Based on these numerical results we have proposed scaling relations and algebraic expressions involving the relevant parameters of the phenomenon. In this study analytical equations were determined for Dff depending on the geometrical parameters of the models. We also found a relation between the permeability and the drag coefficient which is inversely proportional to one another. As for the difference in behavior it is most striking in the classes of models MPV. That is, the fact that the porosity vary in these models is an additional factor that plays a significant role in flow analysis. Finally, the results proved satisfactory and consistent, which demonstrates the effectiveness of the referred methodology for all applications analyzed in this study.

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This Thesis presents the elaboration of a methodological propose for the development of an intelligent system, able to automatically achieve the effective porosity, in sedimentary layers, from a data bank built with information from the Ground Penetrating Radar GPR. The intelligent system was built to model the relation between the porosity (response variable) and the electromagnetic attribute from the GPR (explicative variables). Using it, the porosity was estimated using the artificial neural network (Multilayer Perceptron MLP) and the multiple linear regression. The data from the response variable and from the explicative variables were achieved in laboratory and in GPR surveys outlined in controlled sites, on site and in laboratory. The proposed intelligent system has the capacity of estimating the porosity from any available data bank, which has the same variables used in this Thesis. The architecture of the neural network used can be modified according to the existing necessity, adapting to the available data bank. The use of the multiple linear regression model allowed the identification and quantification of the influence (level of effect) from each explicative variable in the estimation of the porosity. The proposed methodology can revolutionize the use of the GPR, not only for the imaging of the sedimentary geometry and faces, but mainly for the automatically achievement of the porosity one of the most important parameters for the characterization of reservoir rocks (from petroleum or water)

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This work demonstrates the importance of using tools used in geographic information systems (GIS) and spatial data analysis (SDA) for the study of infectious diseases. Analysis methods were used to describe more fully the spatial distribution of a particular disease by incorporating the geographical element in the analysis. In Chapter 1, we report the historical evolution of these techniques in the field of human health and use Hansen s disease (leprosy) in Rio Grande do Norte as an example. In Chapter 2, we introduced a few basic theoretical concepts on the methodology and classified the types of spatial data commonly treated. Chapters 3 and 4 defined and demonstrated the use of the two most important techniques for analysis of health data, which are data point processes and data area. We modelled the case distribution of Hansen s disease in the city of Mossoró - RN. In the analysis, we used R scripts and made available routines and analitical procedures developed by the author. This approach can be easily used by researchers in several areas. As practical results, major risk areas in Mossoró leprosy were detected, and its association with the socioeconomic profile of the population at risk was found. Moreover, it is clearly shown that his approach could be of great help to be used continuously in data analysis and processing, allowing the development of new strategies to work might increase the use of such techniques in data analysis in health care

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The breast cancer is the most incident neoplasia in Brazilian women, configure as important cause of female death in Brazil. Its magnitude is go to be consider as a disease that go out the biological and numerical, extending of the subjective dimension and interrelationships of society and socials experiences, to into in knowledge and practices. Linking of the growing older process, the breast cancer extend as social, economical and cultural dimensions, madding in plot of socials relationships, through that acquire mean. In the context of the high expectative of live and the high number of older age persons, consider that that the high number of years had lived correspond the exposition of this individuals to corporate of the ambientals aggressions and own processes of human constitution of natural wear, like as chronicle-degenerate disease, the example is cancer. In the perspective, we collected narratives of mastectomies women with 60 age or so, about the breast cancer, the body and the growing older process, had has as objectives to reflexes about relatives questions, the comprehension about cancer, like experience, had lived and mean in the context of action and interaction of mastectomies older women, and to comprehend like women interrelationships and respond the changes that grow up of the disease and the growing older process in the everyday of their lives. Through of the narratives. We know that the disease is an initial information that take a form through successives approximation between women with their reality, since the family from hospital institution. The breast cancer to be continue a disease who cause a lot of apprehension and fear, getting and changing the ill s live as marked form. Have dad the body and the growing older process genteels and redimensions by disease, women need to define news and multiples functions due to the contingency that the disease impose

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This work was developed from the research field in the Museu Câmara Cascudo (MCC) and the theoretical research in Museum Studies, enlarging the idea of museum while ambience of culture. We believe that the MCC, located in the city of Natal RN, is a relevant sociocultural institution because it is a university museum, because it was created two years after the foundation of the Universidade Federal do Rio Grande do Norte, and because it develops researches and studies about man on his physical and cultural aspects. Thus, this work is made up by a reflection on the transient and mobile aspect of culture living culture to understand the role of the museum in contemporary society. The MCC analysis, including its history, its functioning, its main activities, and its expositions, illustrates one part of our investigation. The other part is composed by theoretical consideration made from the reading of authors such as Bauman, Lévi-Strauss, Morin, Kristeva, Foucault, Le Goff, among others

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This dissertation aims to comprehend how we meet with the other at cinema. For this, it receives the doubt, the uncertainty, the way that the human being is unfinished as stance of observation. It takes into consideration the multiples social vectors, historical, subjective, temporal and cultural which constitute these phenomena. The cinema is used as a cognitive resource in order to incorporate the poetic and the imaginary, making possible not forgetting gestures and knowledge that hatch from sounds, colours, remembrances, images, words, social exchanges, cognitive reciprocity that allow us to think about the culture, the society and the communication. For this, it has as theoretical prerequisites ideas of double (myselfthe other) and effective participation (projection-identification) developed by Edgar Morin, as well as the idea of communication as possibility/impossibility of constructions of bonds with the other through the body, our primary media, concepts developed by Harry Pross and Norval Baitello Jr. The chosen film to analysis is Lavoura Arcaica, it is an emblematic movie in the discussion of the human condition and in the relationship between the man and its body, its desires, with its nature/culture ambivalence. About this film are made reflections about the process of activation of the double (myself-the other) in the searching for the other through cinematographically elements of construction, as: montage, direction, screenplay, actors, scenography, costumes and soundtrack. In conclusion, the cinema, when it allows the effective participation and provides t e experiment of the double, becomes a gateway line in the path to development of the alterity

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This research addresses the consumption of women's fashion, through an analysis of the contents of the Estilo magazine. This magazine is an licensing of American Instyle, directed at the female, published by Editora Abril in Brazil since 2002. To guide this research, in relation of the fashionable field, some relevants concepts and authors were worked, like Pierre Bourdieu, Gilda de Souza Melo, Georg Simmel, Gilles Lipovetsky among other fundamental to understanding both the consumption and fashion. Still in search of understanding the discourses that permeated the fashion world were done semi-structured interviews with two costume designers who work in two different shops specializing in fabrics in the Natal's city. Were analyzed Estilo magazines published from June 2008 to June 2009, relating to the data collected in interviews in order to understand how discourses are constructed and disseminated, becoming so efficient in the seduction of women's groups which is directed to achieve and consolidate the production of appropriate and acceptable form to wear

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The study of public policy typologies is still a knowledge field which lacks more embracing and applicable studies to different sectors. On that perspective, this work, Social Assistance Policy in Brazil: an analysis from the typologies on public policy, pursues to add the relevant literature to social assistance what focus on the public policy ratings. Moreover, it concerns about a study on the the national policy of social assistance implemented by the Brazilian government from the theoretical referrence of the public policy typologies. For that reason, the referential framework of the public policies as well as the analisys of its fundamentals/principles that are indispensable for achieving a bigger goal, that is to tipify the social assistance policy based on the different public policy typologies and characterize it through the main elements which are intrinsec to the social political and economic reality of Brazil. Thus, the issue suggested for the work is: what is the profile and the political trajectory of the social assistance implemented by the Brazilian Government? How it presents, above all, the features of a distributive, focused and lawful policy, the work has been done througho the following hypothesis: the social assistance policy in Brazil has been of universal, assistance, and focusing aspects. For each of those features granted to the social assistance policy, there is a gathering of changes according to the social, political and economic moment of the country and that stands out due to the different institutions within every cyclical period. The work showed that besides the social policy has gone through meaningful changes during the last decades, even though the adoption of the Organic Law of Social Assistance and its rules, some of the mentioned characteristics still remain, as long as the State s primacy goes on being the economic policies over the dubbed social policies. Notwithstanding, the social assistance will build up itself from the materialization of the growing of the social rights related to the State, but also assuming an important role on the amplified reproducing process regarding the capitalist social relations