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Jose Francisco Dos Santos Correa - One of the best experts on this subject based on the ideXlab platform.

  • Sistema inteligente para aplicações de soluções ao bombeamento mecanico de petroleo
    2017
    Co-Authors: Jose Francisco Dos Santos Correa
    Abstract:

    Resumo: o presente trabalho apresenta proposta de um sistema inteligente para a análise e apresentação de soluções a serem aplicadas em poços equipados com bombeamento mecânico. Este sistema engloba o tratamento de dados contidos em base de dados, a identificação de sintomas através de agentes especializados, a análise do conjunto de sintomas e a proposta de ações no sentido de corrigir problemas e otimizar o sistema bombeamento mecânico. Conceitos de engenharia de petróleo como dimensionamento e verificação do sistema de bombeamento mecânico, análise Nodal , cálculo da carta dinamométrica de fundo, fluxo multifásico, propriedades dos fluidos, "Inflow Performance Relationship", Interferência de Gás, dentre outros, foram incorporados ao sistema e integrados por agentes inteligentes desenvolvidos a partir de conceitos de Inteligência Artificial, tais como, sistemas distribuidos, redes neurais simbólicas e lógica nebulosa. o "Sistema Inteligente para Análise de Cartas Dinamométricas", atualmente em desenvolvimento através de convênio entre a PETROBRÁS e UNICAMP, tem seu campo de atuação ampliado pelo presente trabalho, através da incorporação dos conceitos citadosAbstract: This work presents a proposal for a Sucker Rod Pumping Analysis Expert System, with the main characteristic of presentating diagnostics and solutions to sucker rod pumping problems. The system includes database treatment, syntoms identification, diagnosis and solutions proposals, performed by a group of agents specialized in sucker rod pumping problems solution and otimization. Artificial Inteligence concepts such as distribuited systems, neural nets and fuzzy logic, as long as Petroleum Engineering concepts such as design and verification of sucker rod pumping, nodal analysis, and pump dynagraph are used by the inteligent agents to broadly analyse the sucker rod pumping system. The use of the above concepts in this work, enlarges the PETROBRÁS UNICAMP project "Sistema Inteligente para análise de Cartas Dinamométricas" scope in the treatment of sucker rod pumping problem

  • Sistema inteligente para aplicações de soluções ao bombeamento mecanico de petroleo
    Universidade Estadual de Campinas. Faculdade de Engenharia Mecânica e Instituto de Geociências, 1995
    Co-Authors: Jose Francisco Dos Santos Correa
    Abstract:

    o presente trabalho apresenta proposta de um sistema inteligente para a análise e apresentação de soluções a serem aplicadas em poços equipados com bombeamento mecânico. Este sistema engloba o tratamento de dados contidos em base de dados, a identificação de sintomas através de agentes especializados, a análise do conjunto de sintomas e a proposta de ações no sentido de corrigir problemas e otimizar o sistema bombeamento mecânico. Conceitos de engenharia de petróleo como dimensionamento e verificação do sistema de bombeamento mecânico, análise Nodal , cálculo da carta dinamométrica de fundo, fluxo multifásico, propriedades dos fluidos, "Inflow Performance Relationship", Interferência de Gás, dentre outros, foram incorporados ao sistema e integrados por agentes inteligentes desenvolvidos a partir de conceitos de Inteligência Artificial, tais como, sistemas distribuidos, redes neurais simbólicas e lógica nebulosa. o "Sistema Inteligente para Análise de Cartas Dinamométricas", atualmente em desenvolvimento através de convênio entre a PETROBRÁS e UNICAMP, tem seu campo de atuação ampliado pelo presente trabalho, através da incorporação dos conceitos citadosThis work presents a proposal for a Sucker Rod Pumping Analysis Expert System, with the main characteristic of presentating diagnostics and solutions to sucker rod pumping problems. The system includes database treatment, syntoms identification, diagnosis and solutions proposals, performed by a group of agents specialized in sucker rod pumping problems solution and otimization. Artificial Inteligence concepts such as distribuited systems, neural nets and fuzzy logic, as long as Petroleum Engineering concepts such as design and verification of sucker rod pumping, nodal analysis, and pump dynagraph are used by the inteligent agents to broadly analyse the sucker rod pumping system. The use of the above concepts in this work, enlarges the PETROBRÁS UNICAMP project "Sistema Inteligente para análise de Cartas Dinamométricas" scope in the treatment of sucker rod pumping problem

Fernando Samaniego-v. - One of the best experts on this subject based on the ideXlab platform.

  • Inflow Performance Relationships Under Gravity Segregation for Solution Gas-Drive Reservoirs
    Journal of Energy Resources Technology-transactions of The Asme, 2009
    Co-Authors: Roberto Padilla-s., Rafael Castrejón-a., R.g. Camacho-v., Fernando Samaniego-v.
    Abstract:

    This paper analyzes the influence of gravity segregation effects on Inflow Performance Relationship (IPR) curves, with both totally and partially penetrated vertical wells. Using synthetic responses from a finite difference simulator, the effects of different parameters, such as vertical to radial permeability ratio, production mode, position of productive interval, oil rate, and mechanical skin, on the shape of IPR curves are documented. It is shown that greater flow potentials are obtained when the ratio of gravity to viscous forces increases. It is shown that for the case of partially penetrated wells, the IPR curve generated at constant bottomhole pressure does not coincide with the IPR generated at constant oil rate. Also, the presence of gravity segregation affects the values of absolute open flow potential, obtaining big differences with the corresponding values when gravitational effects are ignored. The values of the exponent n of Fetkovich IPR and the coefficients of the quadratic equation proposed by Jones et al. are functions not only of time but also of production rate, position of productive interval, and other parameters. The consequence of the above results is that the interpretation of IPR curves is affected by the presence of gravitational effects and therefore the use of traditional methods, such as those of Vogel , Fetkovich, or Jones , is restricted to the specific conditions considered by these authors.

Fuad H. Qasem - One of the best experts on this subject based on the ideXlab platform.

  • Inflow Performance Relationships for layered solution-gas drive reservoir
    International Journal of Petroleum Engineering, 2016
    Co-Authors: Fuad H. Qasem, Muhammad Irfan Mir
    Abstract:

    Inflow Performance Relationship (IPR) is a very important tool to forecast well Performance. Existing IPR models are idealistic since they are developed for homogeneous reservoirs; therefore, they are inappropriate for layered systems. Consequently, there is a need for IPR models that efficiently describe layered reservoir Performance. This study investigates the effects of reservoir heterogeneity on IPR for layered solution-gas drive reservoirs. Multiphase flow in both two and multilayer reservoirs was simulated. Both fluid cross flow and no fluid cross flow among layers were considered. A stochastic simulation algorithm was used to generate various permeability realisations among layers. Three geostatistical models using uniform, Gaussian, and bimodal probability distributions were used to grasp optimum match between real reservoir behaviour and simulated data. The generated data were scrutinised to develop two accurate IPR equations. The first equation describes the well behaviour under current flowing conditions, whereas the second equation can be used to forecast future well Performance.

  • Modeling Inflow Performance Relationships for Wells Producing from Multi-Layer Solution-Gas Drive Reservoirs
    North Africa Technical Conference and Exhibition, 2013
    Co-Authors: Fuad H. Qasem
    Abstract:

    Optimum field development strategy requires good knowledge of anticipated well Performance and future flowing condition variation. This practice involves continuous monitoring of surface facility network, wells, and reservoir. Thus, it is crucial for the petroleum engineer to possess the appropriate tools to efficiently forecast well behavior, design artificial lift equipment and stimulation treatments, forecast production, and improve the entire production system optimization. Inflow Performance Relationship (IPR) is one of the vital tools required to monitor well Performance. Currently used Inflow Performance Relationship models are idealistic in nature, mainly developed for homogeneous reservoirs, and not suitable for multi-layer systems with different permeabilities. Consequently, the available IPR Relationships do not provide accurate Performance of such reservoirs. Thus, there is an urgent need for new realistic IPR models that describe the actual reservoir Inflow Performance behavior more efficiently than t he available models. This study investigates the effects of reservoir heterogeneity on IPR curves for wells producing from multi-layer solutiongas drive reservoirs. To achieve the desired objectives a stochastic simulation algorithm known as simulated annealing was used to generate various permeability realizations among the stacked layers. The generated data were then thoroughly scrutinized and two simple yet accurate empirical IPR models were developed for heterogeneous two and multi-layer solutiongas drive reservoirs. Introduction In reservoir studies, Inflow Performance Relationship (IPR) of a well is an essential tool to assess the well Performance. It indicates the production behavior of a well and it will assist in determining the feasibility of producing a well. The IPR curve visualizes the Relationship between the well’s producing bottomhole pressures and its corresponding production rates under a given reservoir condition. The shape of the curve is influenced by many factors such as the reservoir fluid composition, the existence of well zones, and the behavior of the fluid phases under reservoir flowing conditions. Gilbert introduced IPR curves in 1954 and through the years, these curves had several modifications. In 1968, Vogel introduced a mathematical dimensionless model for wells producing in bounded solution-gas drive reservoirs where the average reservoir pressure is less than the bubble-point pressure. Standing (1970, 1971) introduced a modified version of Vogel’s curve to characterize a well Performance for damaged wells and different depletion stages. In 1973, Fetkovich showed that the Performance curve for an oil well can be expressed by a more general equation similar to that used for a gas well. His developed equation was found to be valid for tests conducted for a variety of reservoir conditions even when the flowing pressures were well above the bubble-point pressure. Through time, IPR curves have been utilized in different applications in the petroleum industry. Weiss et al. (1981) employed a method of individual zone productivity combined with IPR testing to characterize two prolific offshore oil fields. Later, Brown (1982) combined well-Inflow Performance with tubing intake curves to prepare pressure/flow rate diagrams in order to properly select the best artificial lift method. Chu and Evans (1983) used a computer-based analysis to find the optimum production design for a naturally flowing water drive wells. They developed a group of graphs that are derived based on the Performance of IPR, vertical lift, choke, horizontal flow, and the surface equipments thermodynamics. To eliminate the need for conventional multipoint tests, Mishra and Caudle (1984) developed a new method to calculate the IPR curves for stabilized non-Darcy flow in unfractured gas reservoirs. On the other hand, other studies developed dimensionless IPR curves for fractured gas wells with positive, negative or zero skin effect

  • Modeling Inflow Performance Relationships for Wells Producing From Two-Layer Solution-Gas Drive Reservoirs Without Cross-Flow
    Petroleum Science and Technology, 2012
    Co-Authors: Fuad H. Qasem
    Abstract:

    Abstract Continuous monitoring and accurate anticipation of the present and future Performance of the flowing wells and reservoirs constitute the cornerstone elements in the design of optimum field development strategy. It is crucial for the petroleum engineer to possess the appropriate tools that assist in efficiently predicting well behavior, designing artificial lift equipment, forecasting production, and optimizing the entire production system. Inflow Performance Relationship (IPR) is one of the vital tools required to monitor well Performance. Existing Inflow Performance Relationship models are idealistic and mainly designed for homogeneous reservoirs. However, most reservoirs around the world are heterogeneous and composed of layers of different permeabilities. Hence, there is an urgent need for new realistic IPR models that describe the actual reservoir Inflow Performance behavior more efficiently than the available models. The authors investigate the effects of reservoir heterogeneity on IPR curve...

Correa, Jose Franscisco Dos Santos - One of the best experts on this subject based on the ideXlab platform.

  • Sistema inteligente para aplicações de soluções ao bombeamento mecanico de petroleo
    [s.n.], 2018
    Co-Authors: Correa, Jose Franscisco Dos Santos
    Abstract:

    Orientador: Armando Freitas da RochaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia MecanicaResumo: o presente trabalho apresenta proposta de um sistema inteligente para a análise e apresentação de soluções a serem aplicadas em poços equipados com bombeamento mecânico. Este sistema engloba o tratamento de dados contidos em base de dados, a identificação de sintomas através de agentes especializados, a análise do conjunto de sintomas e a proposta de ações no sentido de corrigir problemas e otimizar o sistema bombeamento mecânico. Conceitos de engenharia de petróleo como dimensionamento e verificação do sistema de bombeamento mecânico, análise Nodal , cálculo da carta dinamométrica de fundo, fluxo multifásico, propriedades dos fluidos, "Inflow Performance Relationship", Interferência de Gás, dentre outros, foram incorporados ao sistema e integrados por agentes inteligentes desenvolvidos a partir de conceitos de Inteligência Artificial, tais como, sistemas distribuidos, redes neurais simbólicas e lógica nebulosa. o "Sistema Inteligente para Análise de Cartas Dinamométricas", atualmente em desenvolvimento através de convênio entre a PETROBRÁS e UNICAMP, tem seu campo de atuação ampliado pelo presente trabalho, através da incorporação dos conceitos citadosAbstract: This work presents a proposal for a Sucker Rod Pumping Analysis Expert System, with the main characteristic of presentating diagnostics and solutions to sucker rod pumping problems. The system includes database treatment, syntoms identification, diagnosis and solutions proposals, performed by a group of agents specialized in sucker rod pumping problems solution and otimization. Artificial Inteligence concepts such as distribuited systems, neural nets and fuzzy logic, as long as Petroleum Engineering concepts such as design and verification of sucker rod pumping, nodal analysis, and pump dynagraph are used by the inteligent agents to broadly analyse the sucker rod pumping system. The use of the above concepts in this work, enlarges the PETROBRÁS UNICAMP project "Sistema Inteligente para análise de Cartas Dinamométricas" scope in the treatment of sucker rod pumping problemsMestradoMestre em Engenharia de Petróle

Dechun Chen - One of the best experts on this subject based on the ideXlab platform.

  • Calculation Method for Inflow Performance Relationship in Sucker Rod Pump Wells Based on Real-Time Monitoring Dynamometer Card
    Geofluids, 2020
    Co-Authors: Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun Chen
    Abstract:

    Based on the informatization and intelligent construction of an oilfield, this paper proposes a new method for calculating Inflow Performance Relationship in sucker rod pump wells, which solves the limitations of current IPR curve calculation method in practical application. By analyzing the forming principle of the dynamometer card, the plate of abnormal dynamometer card is created innovatively, and the recognition model of abnormal dynamometer card based on “feature recognition” is established to ensure the accuracy of the dynamometer card. By analyzing the curvature of each point on the curve of downhole pump dynamometer card, the opening and closing points of standing valve and traveling valve are determined, and the models for calculating fluid production and bottom hole flowing pressure are established to obtain the data of fluid production and bottom hole flowing pressure of sucker rod pump wells. Finally, a calculation model of Inflow Performance Relationship fitted with the calculated fluid production and bottom hole flowing pressure data based on genetic algorithm is established to realize calculation of oil well Inflow Performance Relationship curve. The field application and analysis results show that the Inflow Performance Relationship curve calculated by the model in this paper fits well with the measured data points, indicating that the calculation model has high accuracy and can provide theoretical and technical support for the field. Moreover, the real-time acquisition of dynamometer cards can provide real-time data source for this method, improve the timeliness of oil well production analysis, and help to reduce the production management costs and improve the production efficiency and benefit.