18 resultados para 1995_01310720 TM-68 4302812


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Due to the need of increasing production in reservoirs that are going through production decline, methods of advanced recovery have frequently been used in the last years, as the use of conventional methods has not been successful in solving the problem of oil drifting. In this work, the efficiency of different microemulsionated systems in the flow of oil from cores from Assu and Botucatu formations. Regarding drifting tests, cores were calcinated at a temperature of 1000°C, for 18 hours, with the aim of eliminating any organic compound present in it, increasing the resultant permeability. Following, the cores were isolated with resin, resulting in test specimens with the following dimensions: 3.8 cm of diameter and 8.7 cm of length. Cores were saturated with brine, composed of aqueous 2 wt % KCl, and oil from Guamaré treatment station (Petrobras/RN). A pressure of 20 psi was used in all tests. After core saturation, brine was injected again, followed by oil at constant flow rate. The system S3 - surfactant (anionic surfactant of short chain), isoamillic alcohol, pine oil, and water - presented the best drift efficiency, 81.18%, while the system S1E commercial surfactant, ethyl alcohol, pine oil, and distilled water presented low drift efficiency, 44,68%

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The process of salting and drying in the sun is used to preserve meat since the beginning of civilization. There is evidence that this preservation technique has arisen in Egypt, between 4,000 and 5,000 years ago. In our country, according to literature, was the first industrial product that gave the appearance of beef jerky, beef being produced, where about 70% to 75% of the muscle is composed of water, where it will be around 45% as a final product, according to the law in his article RIISPOA No. 432 provides that the jerky should contain no more than this amount of moisture in the muscular portion, or more than 15% of total ash with tolerance of up to 5% variation . Besides this parameter, proteins, lipids, ash, and minerals were analyzed in samples before and after the manufacturing process to know the content of these nutrients. Since these are considered important in product quality, thus the concentration in these samples, respectively, in the flesh Front (CD and CHD) before and after the manufacturing process for humidity were respectively 75.28% and 47.38% , the protein was 14.17 and 22.20 g / 100 g sample, 6.360 and 4.251 of lipids g/100g of the sample, and the ashes 0.974 9.144 g/100g sample, minerals like calcium and 4.074 30 , 06 ppm, sódio0, 055 and 5.401 g / L, sodium chloride, 0.139 and 13.74 g / L, potassium 237.5 and 166.8 ppm, 1.721 and 3.295 ppm iron, 0.143 and 0.135 ppm phosphorus, zinc and 4.690 6.905 ppm; magnésio14, 63 e13, 75 ppm manganese .017 e0, 007ppm, copper 0.057 and 0.039 ppm in the case of needle-type meat (CPA and CHPA), 68.04% and 44.17%, protein 13 , 72, and 24.42 g/100g of sample, 1.137 in the ash and 12.68 g / 100g of sample, and the minerals calcium 17.11 and 12.89 ppm; sódio0, 123 and 4.871 g / L, sodium chloride 0.312 and 12.39 g / L, potassium 305.3 and 182.1 ppm; ferro1, 817 and 1.513 ppm, 0.273 and 0.139 ppm phosphorus, zinc 6.305 and 4.783 ppm, 27.95 and 15.85 ppm magnesium, manganese and 0.025 0.011 ppm, 0.057 and 0.143 ppm copper and chromium 0.014 and 0.068 ppm

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This study includes the results of the analysis of areas susceptible to degradation by remote sensing in semi-arid region, which is a matter of concern and affects the whole population and the catalyst of this process occurs by the deforestation of the savanna and improper practices by the use of soil. The objective of this research is to use biophysical parameters of the MODIS / Terra and images TM/Landsat-5 to determine areas susceptible to degradation in semi-arid Paraiba. The study area is located in the central interior of Paraíba, in the sub-basin of the River Taperoá, with average annual rainfall below 400 mm and average annual temperature of 28 ° C. To draw up the map of vegetation were used TM/Landsat-5 images, specifically, the composition 5R4G3B colored, commonly used for mapping land use. This map was produced by unsupervised classification by maximum likelihood. The legend corresponds to the following targets: savanna vegetation sparse and dense, riparian vegetation and exposed soil. The biophysical parameters used in the MODIS were emissivity, albedo and vegetation index for NDVI (NDVI). The GIS computer programs used were Modis Reprojections Tools and System Information Processing Georeferenced (SPRING), which was set up and worked the bank of information from sensors MODIS and TM and ArcGIS software for making maps more customizable. Initially, we evaluated the behavior of the vegetation emissivity by adapting equation Bastiaanssen on NDVI for spatialize emissivity and observe changes during the year 2006. The albedo was used to view your percentage of increase in the periods December 2003 and 2004. The image sensor of Landsat TM were used for the month of December 2005, according to the availability of images and in periods of low emissivity. For these applications were made in language programs for GIS Algebraic Space (LEGAL), which is a routine programming SPRING, which allows you to perform various types of algebras of spatial data and maps. For the detection of areas susceptible to environmental degradation took into account the behavior of the emissivity of the savanna that showed seasonal coinciding with the rainy season, reaching a maximum emissivity in the months April to July and in the remaining months of a low emissivity . With the images of the albedo of December 2003 and 2004, it was verified the percentage increase, which allowed the generation of two distinct classes: areas with increased variation percentage of 1 to 11.6% and the percentage change in areas with less than 1 % albedo. It was then possible to generate the map of susceptibility to environmental degradation, with the intersection of the class of exposed soil with varying percentage of the albedo, resulting in classes susceptibility to environmental degradation