20 resultados para Aquisição e supervisão de dados


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In the oil prospection research seismic data are usually irregular and sparsely sampled along the spatial coordinates due to obstacles in placement of geophones. Fourier methods provide a way to make the regularization of seismic data which are efficient if the input data is sampled on a regular grid. However, when these methods are applied to a set of irregularly sampled data, the orthogonality among the Fourier components is broken and the energy of a Fourier component may "leak" to other components, a phenomenon called "spectral leakage". The objective of this research is to study the spectral representation of irregularly sampled data method. In particular, it will be presented the basic structure of representation of the NDFT (nonuniform discrete Fourier transform), study their properties and demonstrate its potential in the processing of the seismic signal. In this way we study the FFT (fast Fourier transform) and the NFFT (nonuniform fast Fourier transform) which rapidly calculate the DFT (discrete Fourier transform) and NDFT. We compare the recovery of the signal using the FFT, DFT and NFFT. We approach the interpolation of seismic trace using the ALFT (antileakage Fourier transform) to overcome the problem of spectral leakage caused by uneven sampling. Applications to synthetic and real data showed that ALFT method works well on complex geology seismic data and suffers little with irregular spatial sampling of the data and edge effects, in addition it is robust and stable with noisy data. However, it is not as efficient as the FFT and its reconstruction is not as good in the case of irregular filling with large holes in the acquisition.

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In the oil prospection research seismic data are usually irregular and sparsely sampled along the spatial coordinates due to obstacles in placement of geophones. Fourier methods provide a way to make the regularization of seismic data which are efficient if the input data is sampled on a regular grid. However, when these methods are applied to a set of irregularly sampled data, the orthogonality among the Fourier components is broken and the energy of a Fourier component may "leak" to other components, a phenomenon called "spectral leakage". The objective of this research is to study the spectral representation of irregularly sampled data method. In particular, it will be presented the basic structure of representation of the NDFT (nonuniform discrete Fourier transform), study their properties and demonstrate its potential in the processing of the seismic signal. In this way we study the FFT (fast Fourier transform) and the NFFT (nonuniform fast Fourier transform) which rapidly calculate the DFT (discrete Fourier transform) and NDFT. We compare the recovery of the signal using the FFT, DFT and NFFT. We approach the interpolation of seismic trace using the ALFT (antileakage Fourier transform) to overcome the problem of spectral leakage caused by uneven sampling. Applications to synthetic and real data showed that ALFT method works well on complex geology seismic data and suffers little with irregular spatial sampling of the data and edge effects, in addition it is robust and stable with noisy data. However, it is not as efficient as the FFT and its reconstruction is not as good in the case of irregular filling with large holes in the acquisition.

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This thesis aimed to evaluate the implementation of the Food Acquisition Program(PAA) through CONAB RN in the period of 2003-2010 with the perception of all agents involved in the implementation of the government program.For the methodological trajectory it was adopted a descriptive bibliographical and documentary approach with triangular qualitative and quantitative, also called evaluative research.The theoretical model was supported by the authors Draibe (2001), Aguilar and Ander-Egg (1994) and Silva(2001), among others, that focused on family farming and evaluation of implementation of public policy having as a category of analysis the size implementation of policy and the latter divided into 10 theoretical dimensions.The universe consisted of three groups: the first were the managers and technicians from CONAB(RN and Brasilia), totaling 15 subjects. The second group was of associations/cooperatives that participated in the programin 2010, totaling a sample in each access of 15 representatives. The third group of subjects totaled with 309 representatives of governmental and non-governmental organizations that received donations of food for the same period. Semi-structured interviews and forms were adopted as instruments of data collection.The data were processed qualitatively by the analysis of content (interviews and documents) and quantitatively by means of statistical tests that allowed inferences and adoption of frequencies. Among the key find ingests that the program is not standing as a structure supported by planning. The interests of the performers do not necessarily converge with the objectives of the Food Acquisition Program (PAA). A shockof goals was identified (within the same program) when comparingthe financial agent (Ministry of Rural Development and of Social Development and Fight Against Hunger Ministry r) and the executor, CONAB/RN. Within the assessed dimensions, the most fragileis the sub-managerial decision-making and Organizational Environment and internal assessment, still deserves attention the sizeof logistical and operational Subsystem, as this also proved weak.The focusin the quest toexpand thequantificationof the resultsof theFood Acquisition Program (PAA)by CONAB/RN does forget a quality management focused on what really should be:the compliance with the institutional objectives of the government program.Finally, the perspective for the traded implementation should be re-examined because excessive discretion by managers along with technical staff has characterized there al role of the Food Acquisition Program (PAA) as public policy. We conclude that the implementation model, which apparently aggregates values to the benefitted citizens, has weakened the context of work on family farms having the management model of the implementation process be reviewed by the Federal Government and point too ther paths, which have as a guide line the emancipation and developmentof the field or in the field andat the same time enables the reduction of nutritional deficiency of beneficiaries in a balanced and coherent way

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The present work develops a methodology to establish a 3D digital static models petroleum reservoir analogue using LIDAR and GEORADAR technologies. Therefore, this work introduce The methodolgy as a new paradigm in the outcrop study, to purpose a consistent way to integrate plani-altimetric data, geophysics data, and remote sensing products, allowing 2D interpretation validation in contrast with 3D, complexes depositional geometry visualization, including in environmental immersive virtual reality. For that reason, it exposes the relevant questions of the theory of two technologies, and developed a case study using TerraSIRch SIR System-3000 made for Geophysical Survey Systems, and HDS3000 Leica Geosystems, using the two technologies, integrating them GOCAD software. The studied outcrop is plain to the view, and it s located at southeast Bacia do Parnaíba, in the Parque Nacional da Serra das Confusões. The methodology embraces every steps of the building process shows a 3D digital static models petroleum reservoir analogue, provide depositional geometry data, in several scales for Simulation petroleum reservoir

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The transport of fluids through pipes is used in the oil industry, being the pipelines an important link in the logistics flow of fluids. However, the pipelines suffer deterioration in their walls caused by several factors which may cause loss of fluids to the environment, justifying the investment in techniques and methods of leak detection to minimize fluid loss and environmental damage. This work presents the development of a supervisory module in order to inform to the operator the leakage in the pipeline monitored in the shortest time possible, in order that the operator log procedure that entails the end of the leak. This module is a component of a system designed to detect leaks in oil pipelines using sonic technology, wavelets and neural networks. The plant used in the development and testing of the module presented here was the system of tanks of LAMP, and its LAN, as monitoring network. The proposal consists of, basically, two stages. Initially, assess the performance of the communication infrastructure of the supervisory module. Later, simulate leaks so that the DSP sends information to the supervisory performs the calculation of the location of leaks and indicate to which sensor the leak is closer, and using the system of tanks of LAMP, capture the pressure in the pipeline monitored by piezoresistive sensors, this information being processed by the DSP and sent to the supervisory to be presented to the user in real time