Friction Factors of Oilfield Water Injection Network - Research on Solving Approach

2013 ◽  
Vol 765-767 ◽  
pp. 920-923
Author(s):  
Song Wang ◽  
Dong Ma ◽  
Zhong Chen Yu ◽  
Xue Jiao Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Boundary Conditions ◽  
Experimental Method ◽  
Friction Factor ◽  
Flow Rate ◽  
Water Injection ◽  
Optimal Result ◽  
Pipe Section ◽  
Friction Factors ◽  
Oilfield Water

Oilfield water injection network is a special network, where all pressure and flow rate of node is known. Using empirical friction factor value formerly leads to great deviation between optimal result of network and fact operating condition, because of small pipe diameter, severe scale and lots of valves, which is difficult to guide Oilfield production. Firstly, possible pipe combination, that needs to give friction factor value, is found by orthogonal experimental method. Then friction factor sensitivity of pipe section is analyzed in the possible pipe combination by sensitivity analysis, supplementary boundary conditions is gotten, friction factor value of every pipe is given according to solving analogical node equation method.

Friction Factors of Oilfield Water Injection Network - Calculating Cases Analysis

2013 ◽  
Vol 765-767 ◽  
pp. 908-911 ◽  
Author(s):  
Zhong Chen Yu ◽  
Dong Ma ◽  
Song Wang ◽  
Xue Jiao Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Convergence Rate ◽  
Friction Factor ◽  
Water Injection ◽  
Optimal Analysis ◽  
Pipe Section ◽  
Friction Factors ◽  
Engineering Significance ◽  
Oilfield Water

Firstly, possible pipe combination, that needs to give friction factor value, is found by orthogonal experimental method. Then friction factor sensitivity of pipe section is analyzed in the possible pipe combination by sensitivity analysis, supplementary boundary conditions is gotten, friction factor value of every pipe is given according to solving analogical node equation method. At last, Case study showed that the method is true and better in result matching and convergence rate aspect. The approach is a theoretical guarantee to network design and optimal analysis of oilfield water injection network, and has a specified engineering significance.

Calibration of Pipe Friction Factor Based on Improved Genetic Algorithm

2011 ◽  
Vol 217-218 ◽  
pp. 1036-1039 ◽  
Author(s):  
Rui Fen Zhou ◽  
Yu Xue Wang
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Friction Factor ◽  
Water Injection ◽  
Improved Genetic Algorithm ◽  
Oilfield Water

This paper presents a method to calibrate pipe friction factor in oilfield water injection pipeline based on genetic algorithm. For the shortcoming, of basic genetic algorithms, genetic algorithm is made the corresponding improvements, this algorithm is improved global searching capability. Finally, a practical example verified the feasibility of the presented method.

scholarly journals On the sensitivity analysis of porous finite element models for cerebral perfusion estimation

2021 ◽  
Author(s):  
T. I. Józsa ◽  
R. M. Padmos ◽  
W. K. El-Bouri ◽  
A. G. Hoekstra ◽  
S. J. Payne
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Boundary Conditions ◽  
Uncertainty Quantification ◽  
Flow Rate ◽  
Cerebral Perfusion ◽  
Cerebral Arteries ◽  
Three Dimensional ◽  
Sensitivity Analyses ◽  
Physiological Models

AbstractComputational physiological models are promising tools to enhance the design of clinical trials and to assist in decision making. Organ-scale haemodynamic models are gaining popularity to evaluate perfusion in a virtual environment both in healthy and diseased patients. Recently, the principles of verification, validation, and uncertainty quantification of such physiological models have been laid down to ensure safe applications of engineering software in the medical device industry. The present study sets out to establish guidelines for the usage of a three-dimensional steady state porous cerebral perfusion model of the human brain following principles detailed in the verification and validation (V&V 40) standard of the American Society of Mechanical Engineers. The model relies on the finite element method and has been developed specifically to estimate how brain perfusion is altered in ischaemic stroke patients before, during, and after treatments. Simulations are compared with exact analytical solutions and a thorough sensitivity analysis is presented covering every numerical and physiological model parameter.The results suggest that such porous models can approximate blood pressure and perfusion distributions reliably even on a coarse grid with first order elements. On the other hand, higher order elements are essential to mitigate errors in volumetric blood flow rate estimation through cortical surface regions. Matching the volumetric flow rate corresponding to major cerebral arteries is identified as a validation milestone. It is found that inlet velocity boundary conditions are hard to obtain and that constant pressure inlet boundary conditions are feasible alternatives. A one-dimensional model is presented which can serve as a computationally inexpensive replacement of the three-dimensional brain model to ease parameter optimisation, sensitivity analyses and uncertainty quantification.The findings of the present study can be generalised to organ-scale porous perfusion models. The results increase the applicability of computational tools regarding treatment development for stroke and other cerebrovascular conditions.

scholarly journals On the Sensitivity Analysis of Porous Finite Element Models for Cerebral Perfusion Estimation

2021 ◽  
Author(s):  
T. I. Józsa ◽  
R. M. Padmos ◽  
W. K. El-Bouri ◽  
A. G. Hoekstra ◽  
S. J. Payne
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Boundary Conditions ◽  
Uncertainty Quantification ◽  
Flow Rate ◽  
Cerebral Perfusion ◽  
Cerebral Arteries ◽  
Three Dimensional ◽  
Sensitivity Analyses ◽  
Physiological Models

AbstractComputational physiological models are promising tools to enhance the design of clinical trials and to assist in decision making. Organ-scale haemodynamic models are gaining popularity to evaluate perfusion in a virtual environment both in healthy and diseased patients. Recently, the principles of verification, validation, and uncertainty quantification of such physiological models have been laid down to ensure safe applications of engineering software in the medical device industry. The present study sets out to establish guidelines for the usage of a three-dimensional steady state porous cerebral perfusion model of the human brain following principles detailed in the verification and validation (V&V 40) standard of the American Society of Mechanical Engineers. The model relies on the finite element method and has been developed specifically to estimate how brain perfusion is altered in ischaemic stroke patients before, during, and after treatments. Simulations are compared with exact analytical solutions and a thorough sensitivity analysis is presented covering every numerical and physiological model parameter. The results suggest that such porous models can approximate blood pressure and perfusion distributions reliably even on a coarse grid with first order elements. On the other hand, higher order elements are essential to mitigate errors in volumetric blood flow rate estimation through cortical surface regions. Matching the volumetric flow rate corresponding to major cerebral arteries is identified as a validation milestone. It is found that inlet velocity boundary conditions are hard to obtain and that constant pressure inlet boundary conditions are feasible alternatives. A one-dimensional model is presented which can serve as a computationally inexpensive replacement of the three-dimensional brain model to ease parameter optimisation, sensitivity analyses and uncertainty quantification. The findings of the present study can be generalised to organ-scale porous perfusion models. The results increase the applicability of computational tools regarding treatment development for stroke and other cerebrovascular conditions.

scholarly journals Sensitivity Analysis of Hydraulic Transient Simulations Based on the MOC in the Gravity Flow

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3464
Author(s):  
Jinhao Liu ◽  
Jianhua Wu ◽  
Yusheng Zhang ◽  
Xinhao Wu
Keyword(s):  
Sensitivity Analysis ◽  
Friction Factor ◽  
Flow Rate ◽  
Parameter Sensitivity ◽  
Gravity Flow ◽  
Pipe Diameter ◽  
Maximum Pressure ◽  
Closing Time ◽  
Hydraulic Transient ◽  
Transient Simulations

The purpose of this study was to evaluate the sensitivity of input parameters to output results when using the method of characteristics (MOC) for hydraulic transient simulations. Based on a gravity flow water delivery project, we selected six main parameters that affect the hydraulic transient simulation and selected maximum pressure as the output parameter in order to perform a parameter sensitivity analysis. The Morris sensitivity analysis (Morris) and the partial rank correlation coefficient method based on Latin hypercube sampling (LHS-PRCC) were both adopted. The results show that the sensitivity of each parameter is the same except for the friction factor. The flow rate and Young’s modulus are positively correlated with the maximum pressure, whereas the pipe diameter, valve closing time, and wall thickness are negatively correlated. It is discussed that the variability of the friction factor comes from the function of the flow and pressure regulating valve. When other conditions of the gravity flow project remain unchanged, the maximum pressure increases with the increase in the friction factor. The flow rate, pipe diameter, and valve closing time are the key parameters that affect the model. Meanwhile, Morris and LHS-PRCC proved to be effective methods for evaluating parameter sensitivity in hydraulic transient simulations.

Study of fluid flow through a channel deformed by piezoelement

2018 ◽  
Vol 13 (3) ◽  
pp. 1-10 ◽  
Author(s):  
I.Sh. Nasibullayev ◽  
E.Sh Nasibullaeva ◽  
O.V. Darintsev
Keyword(s):  
Fluid Flow ◽  
Pressure Drop ◽  
Boundary Conditions ◽  
Flow Rate ◽  
Contact Surface ◽  
Piezoelectric Element ◽  
Neumann Boundary ◽  
Differential Pressure ◽  
Physical Parameters ◽  
Flow Through

The flow of a liquid through a tube deformed by a piezoelectric cell under a harmonic law is studied in this paper. Linear deformations are compared for the Dirichlet and Neumann boundary conditions on the contact surface of the tube and piezoelectric element. The flow of fluid through a deformed channel for two flow regimes is investigated: in a tube with one closed end due to deformation of the tube; for a tube with two open ends due to deformation of the tube and the differential pressure applied to the channel. The flow rate of the liquid is calculated as a function of the frequency of the deformations, the pressure drop and the physical parameters of the liquid.

scholarly journals Modelling an unconventional closed-loop deep borehole heat exchanger (DBHE): sensitivity analysis on the Newberry volcanic setting

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Hannah R. Doran ◽  
Theo Renaud ◽  
Gioia Falcone ◽  
Lehua Pan ◽  
Patrick G. Verdin
Keyword(s):  
Sensitivity Analysis ◽  
Heat Exchanger ◽  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Energy Flow ◽  
Closed Loop ◽  
Working Fluid ◽  
Valuable Insight ◽  
Deep Borehole

AbstractAlternative (unconventional) deep geothermal designs are needed to provide a secure and efficient geothermal energy supply. An in-depth sensitivity analysis was investigated considering a deep borehole closed-loop heat exchanger (DBHE) to overcome the current limitations of deep EGS. A T2Well/EOS1 model previously calibrated on an experimental DBHE in Hawaii was adapted to the current NWG 55-29 well at the Newberry volcano site in Central Oregon. A sensitivity analysis was carried out, including parameters such as the working fluid mass flow rate, the casing and cement thermal properties, and the wellbore radii dimensions. The results conclude the highest energy flow rate to be 1.5 MW, after an annulus radii increase and an imposed mass flow rate of 5 kg/s. At 3 kg/s, the DBHE yielded an energy flow rate a factor of 3.5 lower than the NWG 55-29 conventional design. Despite this loss, the sensitivity analysis allows an assessment of the key thermodynamics within the wellbore and provides a valuable insight into how heat is lost/gained throughout the system. This analysis was performed under the assumption of subcritical conditions, and could aid the development of unconventional designs within future EGS work like the Newberry Deep Drilling Project (NDDP). Requirements for further software development are briefly discussed, which would facilitate the modelling of unconventional geothermal wells in supercritical systems to support EGS projects that could extend to deeper depths.

Identification and Phylogenetic Analyses of Anaerobic Sulfidogenic Bacteria in Two Algerian Oilfield Water Injection Samples

2021 ◽  
pp. 1-9
Author(s):  
Nesrine Lenchi ◽  
Salima Kebbouche-Gana ◽  
Pierre Servais ◽  
Mohammed Lamine Gana ◽  
Marc Llirós
Keyword(s):  
Phylogenetic Analyses ◽  
Water Injection ◽  
Oilfield Water

Numerical and Experimental Analysis of Turbulent Flow in Corrugated Pipes

2010 ◽  
Vol 132 (7) ◽  
Author(s):  
Henrique Stel ◽  
Rigoberto E. M. Morales ◽  
Admilson T. Franco ◽  
Silvio L. M. Junqueira ◽  
Raul H. Erthal ◽  
...  
Keyword(s):  
Reynolds Number ◽  
Pressure Drop ◽  
Turbulent Flow ◽  
Friction Factor ◽  
Turbulence Models ◽  
Reynolds Numbers ◽  
Velocity Magnitude ◽  
Geometric Configurations ◽  
Corrugated Surfaces ◽  
Friction Factors

This article describes a numerical and experimental investigation of turbulent flow in pipes with periodic “d-type” corrugations. Four geometric configurations of d-type corrugated surfaces with different groove heights and lengths are evaluated, and calculations for Reynolds numbers ranging from 5000 to 100,000 are performed. The numerical analysis is carried out using computational fluid dynamics, and two turbulence models are considered: the two-equation, low-Reynolds-number Chen–Kim k-ε turbulence model, for which several flow properties such as friction factor, Reynolds stress, and turbulence kinetic energy are computed, and the algebraic LVEL model, used only to compute the friction factors and a velocity magnitude profile for comparison. An experimental loop is designed to perform pressure-drop measurements of turbulent water flow in corrugated pipes for the different geometric configurations. Pressure-drop values are correlated with the friction factor to validate the numerical results. These show that, in general, the magnitudes of all the flow quantities analyzed increase near the corrugated wall and that this increase tends to be more significant for higher Reynolds numbers as well as for larger grooves. According to previous studies, these results may be related to enhanced momentum transfer between the groove and core flow as the Reynolds number and groove length increase. Numerical friction factors for both the Chen–Kim k-ε and LVEL turbulence models show good agreement with the experimental measurements.

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