The flow behavior in porous media with threshold pressure gradient(TPG) is more complex than Darcy flow and the equations of motion, and outer boundary and inner boundary with TPG are also different from Darcy flow fo...The flow behavior in porous media with threshold pressure gradient(TPG) is more complex than Darcy flow and the equations of motion, and outer boundary and inner boundary with TPG are also different from Darcy flow for unsteady flow of a producing well in a reservoir. An analytic method to solve this kind of problem is in a need of reestablishment. The classical method of Green's function and Newman product principle in a new way are used to solve the unsteady state flow problems of various shapes of well and reservoir while considering the TPG. Four Green's functions of point, line, band and circle while considering the TPG are achieved. Then, two well models of vertical well and horizontal well are built and simultaneously the function to calculate the moving boundary of each well model is provided. The results show that when considering TPG the pressure field is much different, which has a sudden pressure change, with a moving boundary in it. And the moving boundary of each well model increases with time but slows down rapidly, especially when the TGP is large.展开更多
An electrohydrodynamic （EHD） method, which is based on glow discharge plasma, is presented for flow control in an S-shaped duct. The research subject is an expanding channel with a constant width and a rectangular c...An electrohydrodynamic （EHD） method, which is based on glow discharge plasma, is presented for flow control in an S-shaped duct. The research subject is an expanding channel with a constant width and a rectangular cross section. An equivalent divergence angle and basic function are introduced to build the three-dimensional model. Subsequently, the plasma physical models are simplified as the effects of electrical body force and work （done by the force） on the fluid near the wall. With the aid of FLUENT software, the source terms of momentum and energy are added to the Navier-Stokes equation. Finally, the original performance of three models （A, B and C） is studied, in which model A demonstrates better performance. Then EHD control based on model A is discussed. The results show that the EHD method is an effective way of reducing flow loss and improving uniformity at the duct exit. The innovation in this study is the assessment of the EHD control effect on the flow in an S-shaped duct. Both the parametric modeling of the S-shaped duct and the simplified models of plasma provide valuable information for future research on aircraft inlet ducts.展开更多
S形进气道内的流动分离和二次流造成进气道出口压力损失和气流畸变较为严重,严重影响发动机的工作性能。为改善其流场特性,采用交流介质阻挡放电(Alternating current dielectric barrier discharge,AC-DBD)等离子体激励器主动控制进气...S形进气道内的流动分离和二次流造成进气道出口压力损失和气流畸变较为严重,严重影响发动机的工作性能。为改善其流场特性,采用交流介质阻挡放电(Alternating current dielectric barrier discharge,AC-DBD)等离子体激励器主动控制进气道内的流场。在来流风速为10m/s,雷诺数ReD为1.35×10^(5)的工况下,探究了控制位置、布局形式对控制效果的作用规律,从流向和出口截面流场及压力分布出发,探究了主动控制的机理。结果表明,AC-DBD等离子体激励器能够提高壁面静压恢复系数,抑制流动分离并改善出口压力畸变。激励器控制位置在分离点附近最佳,且以诱导气流与来流平行的布局形式最优。在本实验范围内,出口静压系数提高了8.94%,出口稳态畸变指数降低了4.58%。其控制机理是DBD等离子体产生的诱导气流直接加速边界层运动,提高边界层抵抗逆压梯度的能力,从而抑制流动分离。同时,抑制二次流运动,降低压力畸变。展开更多
The importance of the flow patterns through petroleum production wells proved for upstream experts to provide robust production schemes based on the knowledge about flow behavior.To provide accurate flow pattern distr...The importance of the flow patterns through petroleum production wells proved for upstream experts to provide robust production schemes based on the knowledge about flow behavior.To provide accurate flow pattern distribution through production wells,accurate prediction/representation of bottom hole pressure(BHP)for determining pressure drop from bottom to surface play important and vital role.Nevertheless enormous efforts have been made to develop mechanistic approach,most of the mechanistic and conventional models or correlations unable to estimate or represent the BHP with high accuracy and low uncertainty.To defeat the mentioned hurdle and monitor BHP in vertical multiphase flow through petroleum production wells,inventive intelligent based solution like as least square support vector machine(LSSVM)method was utilized.The evolved first-break approach is examined by applying precise real field data illustrated in open previous surveys.Thanks to the statistical criteria gained from the outcomes obtained from LSSVM approach,the proposed least support vector machine(LSSVM)model has high integrity and performance.Moreover,very low relative deviation between the model estimations and the relevant actual BHP data is figured out to be less than 6%.The output gained from LSSVM model are closed the BHP while other mechanistic models fails to predict BHP through petroleum production wells.Provided solutions of this study explicated that implies of LSSVM in monitoring bottom-hole pressure can indicate more accurate monitoring of the referred target which can lead to robust design with high level of reliability for oil and gas production operation facilities.展开更多
基金Project(51304220) supported by the National Natural Science Foundation of ChinaProject(3144033) supported by the Beijing Natural Science Foundation,ChinaProject(20130007120014) supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China
文摘The flow behavior in porous media with threshold pressure gradient(TPG) is more complex than Darcy flow and the equations of motion, and outer boundary and inner boundary with TPG are also different from Darcy flow for unsteady flow of a producing well in a reservoir. An analytic method to solve this kind of problem is in a need of reestablishment. The classical method of Green's function and Newman product principle in a new way are used to solve the unsteady state flow problems of various shapes of well and reservoir while considering the TPG. Four Green's functions of point, line, band and circle while considering the TPG are achieved. Then, two well models of vertical well and horizontal well are built and simultaneously the function to calculate the moving boundary of each well model is provided. The results show that when considering TPG the pressure field is much different, which has a sudden pressure change, with a moving boundary in it. And the moving boundary of each well model increases with time but slows down rapidly, especially when the TGP is large.
文摘An electrohydrodynamic （EHD） method, which is based on glow discharge plasma, is presented for flow control in an S-shaped duct. The research subject is an expanding channel with a constant width and a rectangular cross section. An equivalent divergence angle and basic function are introduced to build the three-dimensional model. Subsequently, the plasma physical models are simplified as the effects of electrical body force and work （done by the force） on the fluid near the wall. With the aid of FLUENT software, the source terms of momentum and energy are added to the Navier-Stokes equation. Finally, the original performance of three models （A, B and C） is studied, in which model A demonstrates better performance. Then EHD control based on model A is discussed. The results show that the EHD method is an effective way of reducing flow loss and improving uniformity at the duct exit. The innovation in this study is the assessment of the EHD control effect on the flow in an S-shaped duct. Both the parametric modeling of the S-shaped duct and the simplified models of plasma provide valuable information for future research on aircraft inlet ducts.
文摘S形进气道内的流动分离和二次流造成进气道出口压力损失和气流畸变较为严重,严重影响发动机的工作性能。为改善其流场特性,采用交流介质阻挡放电(Alternating current dielectric barrier discharge,AC-DBD)等离子体激励器主动控制进气道内的流场。在来流风速为10m/s,雷诺数ReD为1.35×10^(5)的工况下,探究了控制位置、布局形式对控制效果的作用规律,从流向和出口截面流场及压力分布出发,探究了主动控制的机理。结果表明,AC-DBD等离子体激励器能够提高壁面静压恢复系数,抑制流动分离并改善出口压力畸变。激励器控制位置在分离点附近最佳,且以诱导气流与来流平行的布局形式最优。在本实验范围内,出口静压系数提高了8.94%,出口稳态畸变指数降低了4.58%。其控制机理是DBD等离子体产生的诱导气流直接加速边界层运动,提高边界层抵抗逆压梯度的能力,从而抑制流动分离。同时,抑制二次流运动,降低压力畸变。
文摘The importance of the flow patterns through petroleum production wells proved for upstream experts to provide robust production schemes based on the knowledge about flow behavior.To provide accurate flow pattern distribution through production wells,accurate prediction/representation of bottom hole pressure(BHP)for determining pressure drop from bottom to surface play important and vital role.Nevertheless enormous efforts have been made to develop mechanistic approach,most of the mechanistic and conventional models or correlations unable to estimate or represent the BHP with high accuracy and low uncertainty.To defeat the mentioned hurdle and monitor BHP in vertical multiphase flow through petroleum production wells,inventive intelligent based solution like as least square support vector machine(LSSVM)method was utilized.The evolved first-break approach is examined by applying precise real field data illustrated in open previous surveys.Thanks to the statistical criteria gained from the outcomes obtained from LSSVM approach,the proposed least support vector machine(LSSVM)model has high integrity and performance.Moreover,very low relative deviation between the model estimations and the relevant actual BHP data is figured out to be less than 6%.The output gained from LSSVM model are closed the BHP while other mechanistic models fails to predict BHP through petroleum production wells.Provided solutions of this study explicated that implies of LSSVM in monitoring bottom-hole pressure can indicate more accurate monitoring of the referred target which can lead to robust design with high level of reliability for oil and gas production operation facilities.
