Análise de modelos geológicos utilizando percolação dinâmica

In the present study we elaborated algorithms by using concepts from percolation theory which analyze the connectivity conditions in geological models of petroleum reservoirs. From the petrophysical parameters such as permeability, porosity, transmittivity and others, which may be generated by any statistical process, it is possible to determine the portion of the model with more connected cells, what the interconnected wells are, and the critical path between injector and source wells. This allows to classify the reservoir according to the modeled petrophysical parameters. This also make it possible to determine the percentage of the reservoir to which each well is connected. Generally, the connected regions and the respective minima and/or maxima in the occurrence of the petrophysical parameters studied constitute a good manner to characterize a reservoir volumetrically. Therefore, the algorithms allow to optimize the positioning of wells, offering a preview of the general conditions of the given model s connectivity. The intent is not to evaluate geological models, but to show how to interpret the deposits, how their petrophysical characteristics are spatially distributed, and how the connections between the several parts of the system are resolved, showing their critical paths and backbones. The execution of these algorithms allows us to know the properties of the model s connectivity before the work on reservoir flux simulation is started

Efeito pró-inflamatório de uma lectina purificada da esponja marinha Cliona varians

A galactose and sucrose specific lectin from the marine sponge Cliona varians named CvL was purified by acetone fractionation followed by Sepharose CL 4B affinity chromatography. Models of leukocyte migration in vivo were used to study the inflammatory activity of CvL through of mouse paw oedema and peritonitis. Effect of CvL on peritoneal macrophage activation was analyzed. Effects of corticoids and NSAIDS drugs were also evaluated on peritonitis stimulated by CvL. Results showed that mouse hind-paw oedema induced by sub plantar injections of CvL was dependent dose until 50µg/paw. This CvL dose when administered into mouse peritoneal cavities induced maxima cell migration (9283 cells/µL) at 24 hours after injection. This effect was preferentially inhibited by incubation of CvL with the carbohydrates D-galactose followed by sucrose. Pre-treatment of mice with 3% thioglycolate increases the peritoneal macrophage population 2.3 times, and enhanced the neutrophil migration after 24h CvL injection (75.8%, p<0.001) and no significant effect was observed in presence of fMLP. Finally, Pre-treatment of mice with dexamethason (cytokine antagonist) decreased 65.6%, (p<0.001), with diclofenac (non-selective NSAID) decreased 34.5%, (p<0.001) and Celecoxib (selective NSAID) had no effect on leukocyte migration after submission at peritonitis stimulated by CvL, respectively. Summarizing, data suggest that CvL shows pro-inflammatory activity, inducing neutrophil migration probably by pathway on resident macrophage activation and on chemotaxis mediated by cytokines

Influência da dor na capacidade funcional de idosos institucionalizados

The aim of this study was to evaluate the pain influence regarding location, intensity and duration over functional capacity in institutionalized elderly (Fundacao Leur Brito). This is a descriptive exploratory study with a transversal design and quantitative approach. The population of the study was composed of 60 elderly, being 50% males with 60 years-old minimum age and 104 years-old maximum age, with mean age 77,6 (?}11,64) years-old. Data was collected by a structured query formulary divided in four parts: 1) Social, health and demographic characterization; 2) Pain related aspects (time and location); 3) Pain evaluation by numeric scale and 4) Functional capacity measured by Barthel Index. It was observed after evaluation by Squared-chi test (x2) statistical significant difference between pain presence and Barthel Index activities: bath (pvalue=0,015), dressing (p-value= 0,041), intimal hygiene transference (p-value=0,001), chair and bed transference (p-value=0,032), walking (p-value=0,010) and go upstairs (p-value=0,008). It was also observed statistical difference between total Barthel score (dependent/independent) and pain presence, p-value<0, 000. Through data obtained by this study, a multiprofessional approach is necessary to proper pain control and maintenance and/or regain of functional capacity, leading to an increase in life quality with more independence and autonomy to elderly

Estudo de Fractalidade e Evolução Dinâmica de Sistemas Complexos

In this work, the study of some complex systems is done with use of two distinct procedures. In the first part, we have studied the usage of Wavelet transform on analysis and characterization of (multi)fractal time series. We have test the reliability of Wavelet Transform Modulus Maxima method (WTMM) in respect to the multifractal formalism, trough the calculation of the singularity spectrum of time series whose fractality is well known a priori. Next, we have use the Wavelet Transform Modulus Maxima method to study the fractality of lungs crackles sounds, a biological time series. Since the crackles sounds are due to the opening of a pulmonary airway bronchi, bronchioles and alveoli which was initially closed, we can get information on the phenomenon of the airway opening cascade of the whole lung. Once this phenomenon is associated with the pulmonar tree architecture, which displays fractal geometry, the analysis and fractal characterization of this noise may provide us with important parameters for comparison between healthy lungs and those affected by disorders that affect the geometry of the tree lung, such as the obstructive and parenchymal degenerative diseases, which occurs, for example, in pulmonary emphysema. In the second part, we study a site percolation model for square lattices, where the percolating cluster grows governed by a control rule, corresponding to a method of automatic search. In this model of percolation, which have characteristics of self-organized criticality, the method does not use the automated search on Leaths algorithm. It uses the following control rule: pt+1 = pt + k(Rc − Rt), where p is the probability of percolation, k is a kinetic parameter where 0 < k < 1 and R is the fraction of percolating finite square lattices with side L, LxL. This rule provides a time series corresponding to the dynamical evolution of the system, in particular the likelihood of percolation p. We proceed an analysis of scaling of the signal obtained in this way. The model used here enables the study of the automatic search method used for site percolation in square lattices, evaluating the dynamics of their parameters when the system goes to the critical point. It shows that the scaling of , the time elapsed until the system reaches the critical point, and tcor, the time required for the system loses its correlations, are both inversely proportional to k, the kinetic parameter of the control rule. We verify yet that the system has two different time scales after: one in which the system shows noise of type 1 f , indicating to be strongly correlated. Another in which it shows white noise, indicating that the correlation is lost. For large intervals of time the dynamics of the system shows ergodicity