Predição não-linear de curvas de produção de petróleo via redes neurais recursivas

One of the main activities in the petroleum engineering is to estimate the oil production in the existing oil reserves. The calculation of these reserves is crucial to determine the economical feasibility of your explotation. Currently, the petroleum industry is facing problems to analyze production due to the exponentially increasing amount of data provided by the production facilities. Conventional reservoir modeling techniques like numerical reservoir simulation and visualization were well developed and are available. This work proposes intelligent methods, like artificial neural networks, to predict the oil production and compare the results with the ones obtained by the numerical simulation, method quite a lot used in the practice to realization of the oil production prediction behavior. The artificial neural networks will be used due your learning, adaptation and interpolation capabilities

Ensinamentos do barro : conversas com Francisco Brennand

El concepto de paisaje, caracterizado por la colaboración de distintos dominios cognitivos, atraviesa campos disciplinarios y formas de estructurar la producción de conocimiento a través del Arte. Para Cauquelin (2007), la representación occidental de la mirada paisajística es siempre una mirada estética que indica una conexión inseparable de la forma percibida con la forma sentida. Esa mirada estética recuerda al hombre su condición bioantropológica. En ese sentido, entiendo que un paisaje se presenta como un medio donde el humano puede ejercer su singularidad poética, transitando, así, por campos o capas de conocimientos diversos capaces de ampliar su visión rearticuladora del mundo. Motivada por esa percepción, elegí como campo empírico el Museo Taller de Cerámica Francisco Brennand, en Recife, Pernambuco. Reconstruido por el artista, el lugar, injertado de recuerdos de la infancia, pasa a abrigar, a partir de 1971, el conjunto de su obra de cerámica y pintórica. La frecuentación del artista transformó la estrategia metodológica de la entrevista en sabias y agradables conversaciones, que me proporcionaron la experiencia de otras posibilidades de enfoque durante la realización de la investigación. El objetivo de la investigación es ampliar las relaciones conceptuales entre paisaje y representación, en el sentido de privilegiar a la imaginación creativa. Tomé al paisaje como una metáfora y como un operador cognitivo, imprescindibles para el aprendizaje de la condición humana. Compartir estrategias a la vez complementares y recíprocas es lo que proponen Almeida (2009) y Morin con vistas a volver a enlazar la cultura científica y la cultura humanística, en un metodo mestizo y bricoleur que es necesaria para una reforma del pensamiento que lleva en cuenta el ensueño de la materia propuesto por Bachelard (2008). El arte se convierte, así, en un operador cognitivo capaz de promover cambios en el contexto de la educación, en dirección a una pedagogía con base compleja, como propone Pereira (1999)

Determinacão do período orbital de sistemas binários clipsantes

In this work is presented a new method for the determination of the orbital period (Porb) of eclipsing binary systems based on the wavelet technique. This method is applied on 18 eclipsing binary systems detected by the CoRoT (Convection Rotation and planetary transits) satellite. The periods obtained by wavelet were compared with those obtained by the conventional methods: box Fitting (EEBLS) for detached and semi-detached eclipsing binaries; and polynomial methods (ANOVA) for contact binary systems. Comparing the phase diagrams obtained by the different techniques the wavelet method determine better Porb compared with EEBLS. In the case of contact binary systems the wavelet method shows most of the times better results than the ANOVA method but when the number of data per orbital cicle is small ANOVA gives more accurate results. Thus, the wavelet technique seems to be a great tool for the analysis of data with the quality and precision given by CoRoT and the incoming photometric missions.

Análise sísmica usando transformada de Curvelet

Oil prospecting is one of most complex and important features of oil industry Direct prospecting methods like drilling well logs are very expensive, in consequence indirect methods are preferred. Among the indirect prospecting techniques the seismic imaging is a relevant method. Seismic method is based on artificial seismic waves that are generated, go through the geologic medium suffering diffraction and reflexion and return to the surface where they are recorded and analyzed to construct seismograms. However, the seismogram contains not only actual geologic information, but also noise, and one of the main components of the noise is the ground roll. Noise attenuation is essential for a good geologic interpretation of the seismogram. It is common to study seismograms by using time-frequency transformations that map the seismic signal into a frequency space where it is easier to remove or attenuate noise. After that, data is reconstructed in the original space in such a way that geologic structures are shown in more detail. In addition, the curvelet transform is a new and effective spectral transformation that have been used in the analysis of complex data. In this work, we employ the curvelet transform to represent geologic data using basis functions that are directional in space. This particular basis can represent more effectively two dimensional objects with contours and lines. The curvelet analysis maps real space into frequencies scales and angular sectors in such way that we can distinguish in detail the sub-spaces where is the noise and remove the coefficients corresponding to the undesired data. In this work we develop and apply the denoising analysis to remove the ground roll of seismograms. We apply this technique to a artificial seismogram and to a real one. In both cases we obtain a good noise attenuation