937 resultados para DATA INTEGRATION


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O imageamento da porosidade é uma representação gráfica da distribuição lateral da porosidade da rocha, estimada a partir de dados de perfis geofísicos de poço. Apresenta-se aqui uma metodologia para produzir esta imagem geológica, totalmente independente da intervenção do intérprete, através de um algoritmo, dito, interpretativo baseado em dois tipos de redes neurais artificiais. A primeira parte do algoritmo baseia-se em uma rede neural com camada competitiva e é construído para realizar uma interpretação automática do clássico gráfico o Pb - ΦN, produzindo um zoneamento do perfil e a estimativa da porosidade. A segunda parte baseia-se em uma rede neural com função de base radial, projetado para realizar uma integração espacial dos dados, a qual pode ser dividida em duas etapas. A primeira etapa refere-se à correlação de perfis de poço e a segunda à produção de uma estimativa da distribuição lateral da porosidade. Esta metodologia ajudará o intérprete na definição do modelo geológico do reservatório e, talvez o mais importante, o ajudará a desenvolver de um modo mais eficiente as estratégias para o desenvolvimento dos campos de óleo e gás. Os resultados ou as imagens da porosidade são bastante similares às seções geológicas convencionais, especialmente em um ambiente deposicional simples dominado por clásticos, onde um mapa de cores, escalonado em unidades de porosidade aparente para as argilas e efetiva para os arenitos, mostra a variação da porosidade e a disposição geométrica das camadas geológicas ao longo da seção. Esta metodologia é aplicada em dados reais da Formação Lagunillas, na Bacia do Lago Maracaibo, Venezuela.

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The expansion and growth of towns affect the hydrology of watersheds included in the urban environment, impacting mainly the slopes and river channels. This interference can be in soil waterproofing, the runoff of rainwater, the extinction of surface drainage, the dynamics of flooding processes, etc. For studies concerning the hydrological behavior of watersheds, Remote Sensing techniques have been used to support the acquisition and analysis of data and also to generate new information from the integration of these data. In this context, the study aimed to characterize scenarios and conduct comparative analysis of urban occupation of parts of watershed the Córrego da Servidão, in Rio Claro (SP) and analyze the degree of waterproofing on the ground. With the support of the soil categories of waterproofing listed in Soil Conservation Service (S.C.S / USDA) this analysis was conducted, considering the scenarios of 1958 and 2006, through processes of interpretative analysis of panchromatic and color images aerofotogramétricas. The analysis, data integration and mapping of the watershed area were conducted in an environment of a Geographic Information System (GIS). Maps were obtained to characterize land cover in the watershed, showing the evolution of urban occupation, as well as indicating the densely built and waterproofed

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The Namorado Oil Field represents the beginning of the oil exploration in Brazil, in the 70s, and it is still a subject of researches because the importance of this turbidite sandstone in the brazilian oil production. The Namorado’s production level was denominated “Namorado sandstone”, it is composed by turbidite sandstone deposited during the Albian-Cenomanian. In order to define the structural geometry of the main reservoir, geological and geophysical tools like RECON and Geographix (Prizm – Seisvision) softwares were used, and its application was focused on geological facies analysis, for that propose well logs, seismic interpretation and petrophysical calculations were applied. Along this work 15 vertical wells were used and the facies reservoirs were mapped of along the oil field; it is important to mentioned that the all the facies were calibrated by the correlation rock vs log profile, and 12 reservoir-levels (NA-1, NA-2, NA-3, NA-4, NA-5, NA-6, NA-7, NA-8, NA-9, NA-10, NA-11 e NA-12) were recognized and interpreted. Stratigraphic sections (NE-SW and NW-SE) were also built based on stratigraphic well correlation of each interpreted level, and seismic interpretation (pseudo-3D seismic data) on the southeastern portion of the oil field. As results it was interpreted on two- and three-dimensional maps that the deposition reservoir’s levels are hight controlled by normal faults systems. This research also shows attribute maps interpretation and its relationship with the selection of the reservoir attribute represented on it. Finally the data integration of stratigraphic, geophysical and petrophysical calculations lets us the possibility of obtain a detail geological/petrophysical 3D model of the main reservoir levels of “Namorado sandstone” inside the oil/gás field

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The following work refers to a geologic mapping in the Morro do Corcunda target, located between the cities of Pilar of Goiás and Santa Terezinha in the northwest portion of the State of Goiás. This mapping was carried through in 1:10,000 scale and covers an area of approximately 60km2. Collections of samples had been carried through for laborarorial analysis, and from those twenty-three thin scetions have been produced in order to describe the main lithologies that occur in the area. It was possible to observe anomalous gold targets in the region through chip samples carried through during the stage of field work. The gathered field data and the ones that have been made available by the company Yamana Gold Incorporation were congregated, and a data integration was carried through. This integration made possible the correlation of the litologies found in field with the Greenstone Belt Pilar de Goiás sequence and the structural evolution of the area.

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This paper presents a multi-agent architecture that was designed to develop processes supervision and control systems, with the main objective to automate tasks that are repetitive and stressful, and error prone when performed by humans. A set of agents were identified, based on the study of a number of applications found in the literature, that use the approach of multi-agent systems for data integration and process monitoring to faults detection and diagnosis, these agents are used as basis of the proposed multi-agent architecture. A prototype system for the analysis of abnormalities during oil wells drilling was developed.

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This study is based on the mapping of occurrences associated with social vulnerability and natural risks, which refer to the resilience of populations and territories, regarding natural hazards associated with the functioning of natural systems (eg, earthquakes, flood, mass movements). According to UNISDR (2014), the state of São Paulo is a reference in working with Urban Resilience and Disaster in the Resilient Cities Campaign (2014), considering the high investment in Risk Areas Mapping and Public Education Campaigns implemented by the Civil Defense. Thus, this study aims to mapping the occurrence of events related to Tree Falls, Erosion, Landslides, Irregular Housing, Rocky Blocks Falls, Wall Falls, Unroofing and Irregular Construction, attended by the Civil Defense in the city of Santos, São Paulo State, from 2011 to 2014. Thereafter, correlated analyzes to the Environmental Vulnerabilities were generated. The Environmental Vulnerability databases used in this dissertation compose the results of the CNPQ Project - Environmental Vulnerability Mapping of the State of Sao Paulo - Brazil: a methodological contribution of Freitas (2013) and Bortolettoet al (2014), with information collected from the 2010 Census (IBGE, 2010), on a census sectors scale. The adopted methodological procedure involves document analysis followed by data integration in Geographic Information System, through algorithms analysis and mapscrossing.The results obtained in Maps of Social and Environmental Vulnerability Occurrences presented areas of High or Very High Vulnerability. The main variables obtained with such characteristics are Irregular Housing, Landslides and Rocky Blocks Falls, which was associated with hilly terrain formations, with slopes above 30%. To the areas of Medium, Low and Very Low Vulnerability were associated the variables Tree Falls, Wall Falls, Erosion, Unroofing and Irregular Construction, which are spatially distributed without an...

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Pós-graduação em Ciência da Computação - IBILCE

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The objectives of this study were to evaluate land use and occupation of Permanent Preservation Areas (PPA) as well as its use conflicts by TM (Thematic Mapper) image of the 2010 Landsat-5 satellite, according to the Forest Code. For that purpose, Geographic Information Systems in the Ribeirão Paraíso watershed, São Manuel, SP were used. The combination of Remote Sensing and Geographic Information System technologies allowed representation of spatial distribution of the landscape and data integration in the diagnosis of geographic interest. The 2010 mapping showed 12 use categories, and the sugar cane crop had the largest land occupation, 48.25% of the area. The areas of permanent preservation amounted to 925.74 ha, which is an ideal value based on the Brazilian legislation. Mapping of land use conflicts showed intensive anthropic actions going 80.13% forward on PPAs, with only 19.87% remaining forests, which highlights their negative impact and illegal situations in these areas.

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The use of geographic information systems (GIS), combined with advanced analysis technique, enables the standardization and data integration, which are usually from different sources, allowing you to conduct a joint evaluation of the same, providing more efficiency and reliability in the decision-making process to promote the adequacy of land use. This study aimed to analyze the priority areas of the basin agricultural use of the Capivara River, Botucatu, SP, through multicriterial analysis, aiming at conservation of water resources. The results showed that the Geographic Information System Idrisi Selva combined with advanced analysis technique and the weighted linear combination method proved to be an effective tool in the combination of different criteria, allowing the determination of the adequacy of agricultural land use less subjective way. Environmental criteria were shown to be suitable for the combination and multi-criteria analysis, allowing the preparation of the statement of suitability classes for agricultural use and can be useful for regional planning and decision-making by public bodies and environmental agents because the method takes into account the rational use of land and allowing the conservation of hydrics resources.

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This study used a multi-analytical approach based on traditional microbiological methods for cultivation and isolation of heterotrophic bacteria in the laboratory associated with the molecular identification of the isolates and physicochemical analysis of environmental samples. The model chosen for data integration was supported by knowledge from computational neuroscience, and composed by three modules: (i) microbiological parameters, contemplating taxonomic data obtained from the partial sequencing of the 16S rRNA gene from 80 colonies of heterotrophic bacteria isolated by plating method in PCA media. For bacterial colonies isolation were used water samples from Atibaia and Jaguarí rivers collected at the site of water captation for use in effluent treatment, upstream from the entrance of treated effluent from the Paulínia refinery (REPLAN/Petrobras) located in the Paulínia-SP municipality, from the output of the biological treatment plant with stabilization pond and from the raw refinery wastewater; (ii) chemical parameters, ending measures of dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), chloride, acidity CaCO3, alkalinity, ammonia, nitrite, nitrate, dissolved ions, sulfides, oils and greases; and (iii) physical parameters, comprising the pH determination, conductivity, temperature, transparency, settleable solids, suspended and soluble solids, volatile material, remaining fixing material (RFM), apparent color and turbidity. The results revealed interesting theoretical relationships involving two families of bacteria (Carnobacteriaceae and Aeromonadaceae). Carnobacteriaceae revealed positive theoretical relationships with COD, BOD, nitrate, chloride, temperature, conductivity and apparent color and negative theoretical relationships with the OD. Positive theoretical relationships were shown between Aeromonadaceae and OD and nitrate, while this bacterial family showed negative theoretical...

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Pós-graduação em Geografia - IGCE

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This study used a multi-analytical approach based on traditional microbiological methods for cultivation and isolation of heterotrophic bacteria in the laboratory associated with the molecular identification of the isolates and physicochemical analysis of environmental samples. The model chosen for data integration was supported by knowledge from computational neuroscience, and composed by three modules: (i) microbiological parameters, contemplating taxonomic data obtained from the partial sequencing of the 16S rRNA gene from 80 colonies of heterotrophic bacteria isolated by plating method in PCA media. For bacterial colonies isolation were used water samples from Atibaia and Jaguarí rivers collected at the site of water captation for use in effluent treatment, upstream from the entrance of treated effluent from the Paulínia refinery (REPLAN/Petrobras) located in the Paulínia-SP municipality, from the output of the biological treatment plant with stabilization pond and from the raw refinery wastewater; (ii) chemical parameters, ending measures of dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), chloride, acidity CaCO3, alkalinity, ammonia, nitrite, nitrate, dissolved ions, sulfides, oils and greases; and (iii) physical parameters, comprising the pH determination, conductivity, temperature, transparency, settleable solids, suspended and soluble solids, volatile material, remaining fixing material (RFM), apparent color and turbidity. The results revealed interesting theoretical relationships involving two families of bacteria (Carnobacteriaceae and Aeromonadaceae). Carnobacteriaceae revealed positive theoretical relationships with COD, BOD, nitrate, chloride, temperature, conductivity and apparent color and negative theoretical relationships with the OD. Positive theoretical relationships were shown between Aeromonadaceae and OD and nitrate, while this bacterial family showed negative theoretical...

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Pós-graduação em Geografia - IGCE

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Sediment quality from Paranagua Estuarine System (PES), a highly important port and ecological zone, was evaluated by assessing three lines of evidence: (1) sediment physical-chemical characteristics; (2) sediment toxicity (elutriates, sediment-water interface, and whole sediment); and (3) benthic community structure. Results revealed a gradient of increasing degradation of sediments (i.e. higher concentrations of trace metals, higher toxicity, and impoverishment of benthic community structure) towards inner PES. Data integration by principal component analysis (PCA) showed positive correlation between some contaminants (mainly As, Cr, Ni, and Pb) and toxicity in samples collected from stations located in upper estuary and one station placed away from contamination sources. Benthic community structure seems to be affected by both pollution and natural fine characteristics of the sediments, which reinforces the importance of a weight-of-evidence approach to evaluate sediments of PES. (C) 2008 Elsevier Inc. All rights reserved.

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XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. Most of them make use of techniques for finding the edit distance between tree structures, XML documents being commonly modeled as Ordered Labeled Trees. Yet, a thorough investigation of current approaches led us to identify several similarity aspects, i.e., sub-tree related structural and semantic similarities, which are not sufficiently addressed while comparing XML documents. In this paper, we provide an integrated and fine-grained comparison framework to deal with both structural and semantic similarities in XML documents (detecting the occurrences and repetitions of structurally and semantically similar sub-trees), and to allow the end-user to adjust the comparison process according to her requirements. Our framework consists of four main modules for (i) discovering the structural commonalities between sub-trees, (ii) identifying sub-tree semantic resemblances, (iii) computing tree-based edit operations costs, and (iv) computing tree edit distance. Experimental results demonstrate higher comparison accuracy with respect to alternative methods, while timing experiments reflect the impact of semantic similarity on overall system performance.