605 resultados para Simulador ESPPADA


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This work intends to analyze the behavior of the gas flow of plunger lift wells producing to well testing separators in offshore production platforms to aim a technical procedure to estimate the gas flow during the slug production period. The motivation for this work appeared from the expectation of some wells equipped with plunger lift method by PETROBRAS in Ubarana sea field located at Rio Grande do Norte State coast where the produced fluids measurement is made in well testing separators at the platform. The oil artificial lift method called plunger lift is used when the available energy of the reservoir is not high enough to overcome all the necessary load losses to lift the oil from the bottom of the well to the surface continuously. This method consists, basically, in one free piston acting as a mechanical interface between the formation gas and the produced liquids, greatly increasing the well s lifting efficiency. A pneumatic control valve is mounted at the flow line to control the cycles. When this valve opens, the plunger starts to move from the bottom to the surface of the well lifting all the oil and gas that are above it until to reach the well test separator where the fluids are measured. The well test separator is used to measure all the volumes produced by the well during a certain period of time called production test. In most cases, the separators are designed to measure stabilized flow, in other words, reasonably constant flow by the use of level and pressure electronic controllers (PLC) and by assumption of a steady pressure inside the separator. With plunger lift wells the liquid and gas flow at the surface are cyclical and unstable what causes the appearance of slugs inside the separator, mainly in the gas phase, because introduce significant errors in the measurement system (e.g.: overrange error). The flow gas analysis proposed in this work is based on two mathematical models used together: i) a plunger lift well model proposed by Baruzzi [1] with later modifications made by Bolonhini [2] to built a plunger lift simulator; ii) a two-phase separator model (gas + liquid) based from a three-phase separator model (gas + oil + water) proposed by Nunes [3]. Based on the models above and with field data collected from the well test separator of PUB-02 platform (Ubarana sea field) it was possible to demonstrate that the output gas flow of the separator can be estimate, with a reasonable precision, from the control signal of the Pressure Control Valve (PCV). Several models of the System Identification Toolbox from MATLAB® were analyzed to evaluate which one better fit to the data collected from the field. For validation of the models, it was used the AIC criterion, as well as a variant of the cross validation criterion. The ARX model performance was the best one to fit to the data and, this way, we decided to evaluate a recursive algorithm (RARX) also with real time data. The results were quite promising that indicating the viability to estimate the output gas flow rate from a plunger lift well producing to a well test separator, with the built-in information of the control signal to the PCV

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There are some approaches that take advantage of unused computational resources in the Internet nodes - users´ machines. In the last years , the peer-to-peer networks (P2P) have gaining a momentum mainly due to its support for scalability and fault tolerance. However, current P2P architectures present some problems such as nodes overhead due to messages routing, a great amount of nodes reconfigurations when the network topology changes, routing traffic inside a specific network even when the traffic is not directed to a machine of this network, and the lack of a proximity relationship among the P2P nodes and the proximity of these nodes in the IP network. Although some architectures use the information about the nodes distance in the IP network, they use methods that require dynamic information. In this work we propose a P2P architecture to fix the problems afore mentioned. It is composed of three parts. The first part consists of a basic P2P architecture, called SGrid, which maintains a relationship of nodes in the P2P network with their position in the IP network. Its assigns adjacent key regions to nodes of a same organization. The second part is a protocol called NATal (Routing and NAT application layer) that extends the basic architecture in order to remove from the nodes the responsibility of routing messages. The third part consists of a special kind of node, called LSP (Lightware Super-Peer), which is responsible for maintaining the P2P routing table. In addition, this work also presents a simulator that validates the architecture and a module of the Natal protocol to be used in Linux routers

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This paper presents the performanee analysis of traffie retransmission algorithms pro¬posed to the HCCA medium aeeess meehanism of IEEE 802.11 e standard applied to industrial environmen1. Due to the nature of this kind of environment, whieh has eleetro¬magnetic interferenee, and the wireless medium of IEEE 802.11 standard, suseeptible to such interferenee, plus the lack of retransmission meehanisms, refers to an impraetieable situation to ensure quality of service for real-time traffic, to whieh the IEEE 802.11 e stan¬dard is proposed and this environment requires. Thus, to solve this problem, this paper proposes a new approach that involves the ereation and evaluation of retransmission al-gorithms in order to ensure a levei of robustness, reliability and quality of serviee to the wireless communication in such environments. Thus, according to this approaeh, if there is a transmission error, the traffie scheduler is able to manage retransmissions to reeo¬ver data 10s1. The evaluation of the proposed approaeh is performed through simulations, where the retransmission algorithms are applied to different seenarios, whieh are abstrae¬tions of an industrial environment, and the results are obtained by using an own-developed network simulator and compared with eaeh other to assess whieh of the algorithms has better performanee in a pre-defined applieation

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The Electrical Submersible Pump (ESP) has been one of the most appropriate solutions for lifting method in onshore and offshore applications. The typical features for this application are adverse temperature, viscosity fluids and gas environments. The difficulties in equipments maintenance and setup contributing to increasing costs of oil production in deep water, therefore, the optimization through automation can be a excellent approach for decrease costs and failures in subsurface equipment. This work describe a computer simulation related with the artificial lifting method ESP. This tool support the dynamic behavior of ESP approach, considering the source and electric energy transmission model for the motor, the electric motor model (including the thermal calculation), flow tubbing simulation, centrifugal pump behavior simulation with liquid nature effects and reservoir requirements. In addition, there are tri-dimensional animation for each ESP subsytem (transformer, motor, pump, seal, gas separator, command unit). This computer simulation propose a improvement for monitoring oil wells for maximization of well production. Currenty, the proprietaries simulators are based on specific equipments manufactures. Therefore, it is not possible simulation equipments of another manufactures. In the propose approach there are support for diverse kinds of manufactures equipments

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The main purpose of this work is to develop an environment that allows HYSYS R chemical process simulator communication with sensors and actuators from a Foundation Fieldbus industrial network. The environment is considered a hybrid resource since it has a real portion (industrial network) and a simulated one (process) with all measurement and control signals also real. It is possible to reproduce different industrial process dynamics without being required any physical network modification, enabling simulation of some situations that exist in a real industrial environment. This feature testifies the environment flexibility. In this work, a distillation column is simulated through HYSYS R with all its variables measured and controlled by Foundation Fieldbus devices

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This dissertation describes the implementation of a WirelessHART networks simulation module for the Network Simulator 3, aiming for the acceptance of both on the present context of networks research and industry. For validating the module were imeplemented tests for attenuation, packet error rate, information transfer success rate and battery duration per station

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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This document proposes to describe a pilot plant for oil wells equipped with plunger lift. In addition to a small size (21,5 meters) and be on the surface, the plant s well has part of its structure in transparent acrylic, allowing easy visualization of phenomena inherent to the method. The rock formation where the well draws its pilot plant fluids (water and air) is simulated by a machine room where they are located the compressor and water pump for the production of air and water. To keep the flow of air and water with known and controlled values the lines that connect the machine room to the wellhole are equipped with flow sensors and valves. It s developed a supervisory system that allows the user a real-time monitoring of pressures and flow rates involved. From the supervisor is still allowed the user can choose how they will be controlled cycles of the process, whether by time, pressure or manually, and set the values of air flow to the water used in cycles. These values can be defined from a set point or from the percentage of valve opening. Results from tests performed on the plant using the most common forms of control by time and pressure in the coating are showed. Finally, they are confronted with results generated by a simulator configured with the the pilot plant s feature

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Este trabalho apresenta o desenvolvimento de um método de coordenação e cooperação para uma frota de mini-robôs móveis. O escopo do desenvolvimento é o futebol de robôs. Trata-se de uma plataforma bem estruturada, dinâmica e desenvolvida no mundo inteiro. O futebol de robôs envolve diversos campos do conhecimento incluindo: visão computacional, teoria de controle, desenvolvimento de circuitos microcontrolados, planejamento cooperativo, entre outros. A título de organização os sistema foi dividido em cinco módulos: robô, visão, localização, planejamento e controle. O foco do trabalho se limita ao módulo de planejamento. Para auxiliar seu desenvolvimento um simulador do sistema foi implementado. O simulador funciona em tempo real e substitui os robôs reais. Dessa forma os outros módulos permanecem praticamente inalterados durante uma simulação ou execução com robôs reais. Para organizar o comportamento dos robôs e produzir a cooperação entre eles foi adotada uma arquitetura hierarquizada: no mais alto nível está a escolha do estilo de jogo do time; logo abaixo decide-se o papel que cada jogador deve assumir; associado ao papel temos uma ação específica e finalmente calcula-se a referência de movimento do robô. O papel de um robô dita o comportamento do robô na dada ocasião. Os papéis são alocados dinamicamente durante o jogo de forma que um mesmo robô pode assumir diferentes papéis no decorrer da partida

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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

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The control, automation and optimization areas help to improve the processes used by industry. They contribute to a fast production line, improving the products quality and reducing the manufacturing costs. Didatic plants are good tools for research in these areas, providing a direct contact with some industrial equipaments. Given these capabilities, the main goal of this work is to model and control a didactic plant, which is a level and flow process control system with an industrial instrumentation. With a model it is possible to build a simulator for the plant that allows studies about its behaviour, without any of the real processes operational costs, like experiments with controllers. They can be tested several times before its application in a real process. Among the several types of controllers, it was used adaptive controllers, mainly the Direct Self-Tuning Regulators (DSTR) with Integral Action and the Gain Scheduling (GS). The DSTR was based on Pole-Placement design and use the Recursive Least Square to calculate the controller parameters. The characteristics of an adaptive system was very worth to guarantee a good performance when the controller was applied to the plant

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We propose in this work a software architecture for robotic boats intended to act in diverse aquatic environments, fully autonomously, performing telemetry to a base station and getting this mission to be accomplished. This proposal aims to apply within the project N-Boat Lab NatalNet DCA, which aims to empower a sailboat navigating autonomously. The constituent components of this architecture are the memory modules, strategy, communication, sensing, actuation, energy, security and surveillance, making these systems the boat and base station. To validate the simulator was developed in C language and implemented using the graphics API OpenGL resources, whose main results were obtained in the implementation of memory, performance and strategy modules, more specifically data sharing, control of sails and rudder and planning short routes based on an algorithm for navigation, respectively. The experimental results, shown in this study indicate the feasibility of the actual use of the software architecture developed and their application in the area of autonomous mobile robotics

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O objetivo do presente trabalho foi selecionar genótipos de cana-de-açúcar por meio de inibidores da PROTOX e antioxidantes para indução do acúmulo de protoporfirina IX (PROTO IX) e/ou de seus precursores em plantas. Esses compostos podem ser utilizados como agentes sensibilizantes em terapia fotodinâmica (TFD), os quais possibilitam uma fonte de baixo custo para o tratamento de neoplasias e carcinomas. O experimento foi montado em câmara climatizada, com aplicação de nove tratamentos (1. oxyfluorfen + glutamato monossódico + vitaminas C e E; 2. oxyfluorfen + glutamato monossódico + vitaminas C e E + ácido levulênico; 3. oxyfluorfen; 4. carfentrazone + glutamato monossódico + vitaminas C e E; 5. carfentrazone + glutamato monossódico + vitaminas C e E + ácido levulênico; 6. carfentrazone; 7. testemunha + vitaminas C e E; 8. testemunha + vitaminas C e E + ácido levulênico; e 9. testemunha) em oito genótipos de cana-de-açúcar (PO933499, RB806043, RB470355, PO830698, SP701143, PO901387, PO894414 e SP903414), dispostos em esquema fatorial 9 x 8, com quatro repetições. As repetições constituíram-se de folhas (20 cm) destacadas de cada genótipo, sendo estas pulverizadas com os tratamentos mencionados, em simulador estacionário. Foram realizadas avaliações visuais de controle aos 2 DAA (dias após aplicação) e, no fim do estudo, determinações analíticas via extração da biomassa fresca, verificando os teores de protoporfirina IX por cromatografia líquida de alta eficiência. Os resultados mostraram que em curto prazo foram detectados aumentos significativos nas concentrações de PROTO IX para os genótipos RB470355 e SP903414 submetidos ao tratamento 2 e para o genótipo SP701143 submetido ao tratamento 8, indicando que eles podem ser utilizados como fontes acumuladoras de protoporfirina IX.

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Com o objetivo de avaliar a deposição e distribuição de solução traçante em plantas de feijoeiro e capim-braquiária, foi conduzido experimento no NuPAM-FCA/ UNESP, campus de Botucatu-SP, utilizando um simulador de pulverização em ambiente controlado. Os tratamentos utilizados foram: bico jato plano XR Teejet (XR110.02VS) + surfactante Aterbane BR (0,5% v/v); bico jato cônico Conejet (TXVK-4) + surfactante Aterbane BR (0,5% v/v); bico jato plano XR Teejet (XR110.02VS); e bico jato cônico Conejet (TXVK-4). em todos os tratamentos foi aplicada uma solução de NaCl (0,5% p/v) + corante Poliglow laranja (0,5% p/v) + mancozeb (0,5% p/v). As unidades experimentais constituíram-se de vasos com duas plantas-alvo de capim-braquiária posicionadas sob uma planta-alvo de feijoeiro. A visualização da distribuição das gotas nas folhas de capim-braquiária foi efetuada com auxílio de luz negra, e o depósito da calda na superfície das plantas foi quantificado através da condutividade elétrica da solução aplicada e coletada por meio de lavagem de ambos os alvos. Os bicos de pulverização, jato plano (XR Teejet) e cônico (Conejet), não apresentaram diferença no depósito nos folíolos totais de feijoeiro quando submetidos a mesma condição de calda de pulverização. No entanto, o bico jato plano XR Teejet (XR110.02VS) e o bico jato cônico Conejet (TXVK-4) proporcionaram aumento de 67,1 e 61,5% na deposição da calda em relação a área foliar e 106,4 e 66,9% para matéria seca, respectivamente, em relação ao bico jato plano XR Teejet (XR110.02VS) + surfactante Aterbane BR (0,5% v/v) e ao bico jato cônico Conejet (TXVK-4) + surfactante Aterbane BR (0,5% v/v). Para o capim-braquiária, o bico cônico Conejet proporcionou deposição superior e distribuição mais uniforme em relação ao jato plano XR Teejet.

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Com o objetivo de avaliar o efeito de herbicidas em diferentes acessos de aguapé coletados em reservatórios de hidrelétricas do Estado de São Paulo, foi realizado um estudo no Núcleo de Pesquisas Avançadas em Matologia da FCA-UNESP, campus de Botucatu. A escolha das plantas geneticamente diferentes foi feita com base em estudos de variabilidade genética, nos quais se utilizou a técnica de RAPD. Avaliou-se o efeito dos herbicidas imazapyr nas doses de 62,5 e 125,0 g e.a. ha-1, glyphosate a 1.680 e 3.360 g e.a. ha-1 + 0,5% V/V de Extravon, diquat a 480 e 960 g i.a. ha-1 e 2,4-D a 670 e 1.340 g e.a. ha-1. Os seis acessos escolhidos foram colocados em caixas plásticas de 28,0 x 14,0 x 12,0 cm, contendo 4 litros de água. A aplicação dos produtos foi realizada com um simulador de pulverização pressurizado com ar comprimido, equipado com barra de aplicação com quatro bicos de jato plano Teejet 110.02 VS. A pressão constante de trabalho foi de 1,6 bar, e o consumo de calda, de 193 L ha-1. A velocidade de aplicação foi de 3,69 km h-1. Durante as aplicações, a temperatura do ar foi de 25 ºC e a umidade relativa de 73%. Foram realizadas avaliações visuais de controle aos 3, 5, 7, 11, 21 e 28 dias, nas quais 0 consistiu em nenhum controle e 100 em morte de plantas. Todos os herbicidas e doses testados proporcionaram controle eficiente das plantas de aguapé, e os seis acessos estudados responderam de forma semelhante.