Análise de velocidade por otimização do semblance na reflexão sísmica

Este trabalho teve como objetivo geral desenvolver uma metodologia sistemática para a inversão de dados de reflexão sísmica em arranjo ponto-médio-comum (PMC), partindo do caso 1D de variação vertical de velocidade e espessura que permite a obtenção de modelos de velocidades intervalares, v_int,n, as espessuras intervalares, z_n, e as velocidades média-quadrática, v_RMS,n, em seções PMC individualizadas. Uma consequência disso é a transformação direta destes valores do tempo para profundidade. Como contribuição a análise de velocidade, foram desenvolvidos dois métodos para atacar o problema baseado na estimativa de velocidade intervalar. O primeiro método foi baseado na marcação manual em seções PMC, e inversão por ajuste de curvas no sentido dos quadrados-mínimos. O segundo método foi baseado na otimização da função semblance para se obter uma marcação automática. A metodologia combinou dois tipos de otimização: um Método Global (Método Price ou Simplex), e um Método Local (Gradiente de Segunda Ordem ou Conjugado), submetidos a informação à priori e vínculos. A marcação de eventos na seção tempo-distância faz parte dos processos de inversão, e os pontos marcados constituem os dados de entrada juntamente com as informações à priori do modelo a ser ajustado. A marcação deve, por princípio, evitar eventos que representem múltiplas, difrações e interseções, e numa seção pode ser feita mais de 50 marcações de eventos, enquanto que num mapa semblance não se consegue marcar mais de 10 eventos de reflexão. A aplicação deste trabalho é voltada a dados sísmicos de bacias sedimentares em ambientes marinhos para se obter uma distribuição de velocidades para a subsuperfície, onde o modelo plano-horizontal é aplicado em seções PMC individualizadas, e cuja solução pode ser usada como um modelo inicial em processos posteriores. Os dados reais da Bacia Marinha usados neste trabalho foram levantados pela PETROBRAS em 1985, e a linha sísmica selecionada foi a de número L5519 da Bacia do Camamu, e o PMC apresentado é a de número 237. A linha é composta de 1098 pontos de tiro, com arranjo unilateraldireito. O intervalo de amostragem é 4 ms. O espaçamento entre os geofones é 13,34 m com o primeiro geofone localizado a 300 m da fonte. O espaçamento entre as fontes é de 26,68 m. Como conclusão geral, o método de estimativa de velocidade intervalar apresentada neste trabalho fica como suporte alternativo ao processo de análise de velocidades, onde se faz necessário um controle sobre a sequência de inversão dos PMCs ao longo da linha sísmica para que a solução possa ser usada como modelo inicial ao imageamento, e posterior inversão tomográfica. Como etapas futuras, podemos propor trabalhos voltados direto e especificamente a análise de velocidade sísmica estendendo o caso 2D de otimização do semblance ao caso 3D, estender o presente estudo para o caso baseado na teoria do raio imagem com a finalidade de produzir um mapa continuo de velocidades para toda a seção sísmica de forma automática.

Física de sabores e modelos multi-Higgs

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Commercial Bovine Proteoglycan Is Highly Arthritogenic and Can Be Used as an Alternative Antigen Source for PGIA Model

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Transformação de coordenadas com modelagem de distorções entre SAD69 e SIRGAS2000 com o uso de Thin-Plate Splines

Several countries have been passed by change processes in their fundamental geodesic structure with the focus on the adoption of geocentric reference systems. In Brazil, the adoption of the SIRGAS2000 evolves the coexistence of two realizations from the COrrego Alegre system, two realizations from the SAD69 system and one realization from the SIRGAS2000 system. To make use of products in the old reference systems, methods of coordinate transformation between the existent reference frames are necessary. So, in this paper one solution for the transformation between coordinates from different reference frames, based on Thin-Plate Splines (TPS), that allows the estimation of parameters from one linear transformation and also one non-linear model is presented. The TPS model was developed to work with tridimensional coordinates and in this paper the results and analysis are performed with simulated data and also with data from the official Brazilian Geodetic System (SGB). In the check points from SAD69 stations (realization of 1996 - SAD69/96), the values of RMSE obtained were of 78,2 mm in latitude and 67,5 mm in longitude, before the transformation to the SIRGAS2000. In the comparison between the TPS model and ProGriD (Brazilian software provided by IBGE), the statistical indicators were reduced in 97%, by using the TPS model. Based in the obtained results from real dataset, the TPS model appears to be promising, since it allows improving the quality of transformation process with simultaneous distortion modeling.

Análise do Mapa da Cadeia de Valor em um Hospital do Vale do Paraíba

The Lean Thinking is a method used by various industries in order to eliminate waste and ensure quality for the customer. In the current scenario, Lean has been used in other areas such as the hospital in which many tools are being adopted in order to improve its internal processes. One such tool is the Value Stream Mapping, which proved to be an effective tool in industrial environments, and is being adopted by several hospitals. Thus, this paper presents a case study on the use of this tool in a sector of a hospital in the Vale do Paraíba, evaluating its importance, its impacts, positive and negative points and future projections. This is in the context of Lean Healthcare, a new model based on the principles of Lean Thinking which has been adopted by several hospitals and clinics throughout Brazil successfully

The optimal lysine and threonine intake for Cobb broiler breeder hens using Reading model

This study aimed to determine the optimal intake of lysine and threonine for broiler breeder hens. Two experiments were conducted to evaluate the responses of birds to digestible lysine (Lys) and threonine (Thr). Eight treatments were assessed in both experiments, with six replicates of eight birds in the Lys experiment and ten birds in the Thr experiment. The dietary levels of Lys and Thr were obtained by a dilution technique. The experimental period was ten weeks for each amino acid studied, which included six weeks of adaptation and four weeks of data collection. The amino acid intake, egg mass and body weight were adjusted using a Reading model. Based on the model coefficients, the cost of the synthetic amino acids sources and the price of fertile eggs determined the intake of each amino acid to maximize. The minimum intake of Lys and Thr reduced egg production by 40 and 30%, respectively, the weight of the eggs decreased by 12 and 9% with the same intake of Lys and Thr, respectively. The models generated by predicting Lys and Thr intake were as follows: Lys=11 x E+31 x W and Thr=9.5 x E+32 x W, where E=egg mass, g/bird per day, and W=body weight, kg/bird. Based on the models, 3 kg birds with an egg mass production of 50 g/day require 643 mg/bird per day of Lys and 569 mg/bird per day of Thr. The optimum economic intake was calculated at 954 and 834 mg/bird per day for Lys and Thr, respectively, reflecting a dietary concentration of 0.636% Lys and 0.556% Thr for a feed intake of 150 g/bird per day. (C) 2015 Elsevier B.V. All rights reserved.

Classification of intact açai (Euterpe oleracea Mart.) and jucara (Euterpe edulis Mart) fruits based on dry matter content by means of near infrared spectroscopy

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Incorporating priorities for waiting customers in the hypercube queuing model with application to an emergency medical service system in Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A unified solution to the small scale problems of the Lambda CDM model II: introducing parent-satellite interaction

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Perturbative super-Yang-Mills from the topological AdS 5 × S 5 sigma model

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Teoria dos Jogos aplicada à inteligência competitiva organizacional no âmbito da Ciência da Informação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Bandit-Based Algorithms for Budgeted Learning

We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is specified. This learning model is appropriate in many areas, including medical applications. We present new algorithms for choosing which attributes to purchase of which examples in the budgeted learning model based on algorithms for the multi-armed bandit problem. All of our approaches outperformed the current state of the art. Furthermore, we present a new means for selecting an example to purchase after the attribute is selected, instead of selecting an example uniformly at random, which is typically done. Our new example selection method improved performance of all the algorithms we tested, both ours and those in the literature.

An integrated GIS for sedimentological and geomorphological analysis of a lagoon environment. Barra de Cananeia inlet region, (Southeastern Brazil)

The aim of this work is to use GIS integration data to characterize sedimentary processes in a SubTropical lagoon environment. The study area was the Canan,ia Inlet estuary in the southeastern section of the Canan,ia Lagoon Estuarine System (CLES), state of So Paulo, Brazil (25A degrees 03'S/47A degrees 53'W). The area is formed by the confluence of two estuarine channels forming a bay-shaped water body locally called "Trapand, Bay". The region is surrounded by one of the most preserved tracts of Atlantic Rain Forest in Southwestern Brazil and presents well-developed mangroves and marshes. In this study a methodology was developed using integrated a GIS database based on bottom sediment parameters, geomorphological data, remote sensing images, Hidrodynamical Modeling data and geophysical parameters. The sediment grain size parameters and the bottom morphology of the lagoon were also used to develop models of net sediment transport pathways. It was possible to observe that the sediment transport vectors based on the grain size model had a good correlation with the transport model based on the bottom topography features and Hydrodynamic model, especially in areas with stronger energetic conditions, with a minor contribution of finer sediments. This relation is somewhat less evident near shallower banks and depositional features. In these regions the organic matter contents in the sediments was a good complementary tool for inferring the hydrodynamic and depositional conditions (i.e. primary productivity, sedimentation rates, sources, oxi-reduction rates).

A log-Birnbaum-Saunders regression model with asymmetric errors

This paper introduces a skewed log-Birnbaum-Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air pollution, Comm. Statist. Theory Methods 39 (2010), pp. 426-443]. Some influence methods, such as the local influence and generalized leverage, are presented. Additionally, we derived the normal curvatures of local influence under some perturbation schemes. An empirical application to a real data set is presented in order to illustrate the usefulness of the proposed model.

Closed-loop stable model predictive control of integrating systems with dead time

Model predictive control (MPC) applications in the process industry usually deal with process systems that show time delays (dead times) between the system inputs and outputs. Also, in many industrial applications of MPC, integrating outputs resulting from liquid level control or recycle streams need to be considered as controlled outputs. Conventional MPC packages can be applied to time-delay systems but stability of the closed loop system will depend on the tuning parameters of the controller and cannot be guaranteed even in the nominal case. In this work, a state space model based on the analytical step response model is extended to the case of integrating time systems with time delays. This model is applied to the development of two versions of a nominally stable MPC, which is designed to the practical scenario in which one has targets for some of the inputs and/or outputs that may be unreachable and zone control (or interval tracking) for the remaining outputs. The controller is tested through simulation of a multivariable industrial reactor system. (C) 2012 Elsevier Ltd. All rights reserved.