An adaptive wavelet optimized finite difference B-spline polynomial chaos method for random partial differential equations

2022 ◽  
Vol 415 ◽  
pp. 126738
Author(s):  
Navjot Kaur ◽  
Kavita Goyal
2018 ◽  
Vol 28 (11) ◽  
pp. 2620-2649 ◽  
Author(s):  
Rajni Rohila ◽  
R.C. Mittal

Purpose This paper aims to develop a novel numerical method based on bi-cubic B-spline functions and alternating direction (ADI) scheme to study numerical solutions of advection diffusion equation. The method captures important properties in the advection of fluids very efficiently. C.P.U. time has been shown to be very less as compared with other numerical schemes. Problems of great practical importance have been simulated through the proposed numerical scheme to test the efficiency and applicability of method. Design/methodology/approach A bi-cubic B-spline ADI method has been proposed to capture many complex properties in the advection of fluids. Findings Bi-cubic B-spline ADI technique to investigate numerical solutions of partial differential equations has been studied. Presented numerical procedure has been applied to important two-dimensional advection diffusion equations. Computed results are efficient and reliable, have been depicted by graphs and several contour forms and confirm the accuracy of the applied technique. Stability analysis has been performed by von Neumann method and the proposed method is shown to satisfy stability criteria unconditionally. In future, the authors aim to extend this study by applying more complex partial differential equations. Though the structure of the method seems to be little complex, the method has the advantage of using small processing time. Consequently, the method may be used to find solutions at higher time levels also. Originality/value ADI technique has never been applied with bi-cubic B-spline functions for numerical solutions of partial differential equations.


1980 ◽  
Vol 20 (01) ◽  
pp. 52-58 ◽  
Author(s):  
G.A. Zyvoloski ◽  
M.J. O'Sullivan

Abstract The basic equations governing the behavior of a two-phase mixture of carbon dioxide (CO2) and water are discussed. A Newton-Raphson scheme, based on the alternating direction implicit (ADI) method for multidimensional problems, is used to solve the nonlinear finite difference approximation of the governing nonlinear system of partial differential equations. Sample calculations showing the behavior of hypothetical reservoirs with varying CO2 contents are presented. Introduction Geothermal reservoirs often contain an appreciable amount of noncondensable gases that have major effects on the behavior of the reservoir in both its natural state and under exploitation. In its natural state, the partial pressure of the noncondensable gas causes the reservoir to boil at a lower temperature than does a pure water field. Under exploitation the presence of CO2 or hydrogen sulfide (the most presence of CO2 or hydrogen sulfide (the most common gases in geothermal fields) dominates the transport and thermodynamical characteristics of the flow. It already has been shown that for lumped parameter models of geothermal reservoirs, small parameter models of geothermal reservoirs, small differences in the CO2 content of the reservoir cause major changes in the pressure, enthalpy, and gas content of the discharge fluid. Because of the importance of the gas content in influencing the design of flash turbines and other geothermal energy conversion systems, it is essential to include the effects of noncondensable gases in simulations of gassy geothermal reservoirs.Most of the procedures developed for simulating the behavior of geothermal reservoirs have features that are not modified easily to include the effects of a noncondensable gas. These difficulties arise either from the numerical procedures used or from the methods of treatment of the thermodynamics of the system. The work of Pritchett et al. uses the fluid (mixture) density and internal energy as primary dependent variables and interpolation between tabular values for determining thermodynamic properties. With the addition of a noncondensable properties. With the addition of a noncondensable gas, the use of density and internal energy (together with one other unknown) leads to an indirect iterative calculation of the other fluid properties such as temperature and pressure. Even when the noncondensable gas is not present, the use of pressure as one of the unknowns appears to be desirable.The procedure developed by Faust and Mercer uses the same unknowns used here, namely pressure and mixture enthalpy, but their procedure for solving the finite difference equations involved requires some modification to allow the introduction of the extra unknown arising from the presence of a noncondensable gas. The numerical methods used by Mercer and Faust, Thomas, and Coats all are based on the earlier work of Price and Coats. Basically the problem involves implicit nonlinear finite difference approximations of the governing partial differential equations that are solved using the partial differential equations that are solved using the Newton-Raphson method. For multidimensional problems the matrices that arise in the problems the matrices that arise in the Newton-Raphson procedure are sparse but have a large bandwidth. Careful ordering of the equations enables the bandwidth to be reduced significantly. Still greater numerical efficiency is possible by using the alternating direction procedure combined with the lagging of corrections to the permeability terms in the Newton-Raphson process, The application of this ADI procedure to petroleum reservoir problems is restricted severely by petroleum reservoir problems is restricted severely by stability limits on the time step, but compressibility and thermal expansion effects in geothermal problems tend to stabilize the scheme. problems tend to stabilize the scheme. JPT P. 52


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