scholarly journals The diffusion of CO2-brine storage based on stochastic partial differential equations

2020 ◽  
Vol 206 ◽  
pp. 03031
Author(s):  
Liu Bin ◽  
Wang Bo ◽  
Li Zhuo ◽  
Lv Yanfang

The migration of CO2 is stochastic in heterogeneous porous media. This paper considers the CO2 diffusion with the case of steady flow in heterogeneous porous media. The partial differential equations of CO2 diffusion in random velocity field are established based on the mass conservation equations of CO2- brine two-phase flow with the change of time scale and spatial scale under the influence of heterogeneity such as permeability and porosity. The random travel process of CO2 is quantified by joint probability distributions and joint statistical moments (mean and variance), and the diffusion model of CO2 particle in random velocity field is established under the condition of non-linear and immiscibility in heterogeneous porous media. The micro mechanism of diffusion in heterogeneous porous media is revealed by numerical simulation. The general conclusion of steady state flow of CO2 diffusion in heterogeneous porous media was verified by simulating Sleipner CO2-brine storage in Norway.

1970 ◽  
Vol 10 (02) ◽  
pp. 192-202 ◽  
Author(s):  
R.B. Lantz

Abstract In the past miscible displacement calculations have been approximated with two-phase reservoir simulators. Such calculations have neglected diffusional mixing between miscible components. In fact, no analog bas been proposed for rigorously treating miscible simulations with two-phase programs. This paper describes requirements that programs. This paper describes requirements that permit such a rigorous simulation. permit such a rigorous simulation. The sets of partial differential equations describing each of the displacement processes are shown to be exactly analogous if relative permeability and capillary pressure functions are permeability and capillary pressure functions are adjusted in a special manner. Application of the "miscible" analogy in a two-phase simulator, however, has several limitations, the most severe of which is the truncation error (numerical diffusion) typical of an immiscible formulation. Since this error is time-step and/or block-size dependent, numerical smearing can, in principle, be made as small as necessary. But this feature limits the practical applicability of the "miscible" analogy practical applicability of the "miscible" analogy to cases with rather large physical diffusion. The range of applicability and other limitations are outlined in the paper. Also, illustrative sample calculations are presented for linear, radial and layer-cake systems. Component densities and viscosities are varied in the linear model. Introduction In recent years, use of two- and three-phase reservoir simulators to calculate the performance of immiscible fluid displacement has become widespread. Reservoir simulators capable of calculating miscible displacement problems, however, have been limited to special use programs. The primary reason for this limitation has been the significant truncation error (numerical diffusion) typical of ordinary finite difference approximations to the miscible equations. The method of characteristics provided a means of making miscible displacement calculations without significant truncation error. A recently proposed second calculation technique, based on variational methods, also reduces numerical diffusion. Both of these calculational techniques can be used for immiscible calculations. Still, general miscible displacement applications such as gas cycling, enriched-gas injection, or tracer injection have historically required use of immiscible reservoir simulators for performance predictions. Larson et al. have reported an example of such use of a two-phase computer program. Displacement involving two components flowing within a single phase would appear to be analogous to a two-phase displacement. Yet, past miscible calculations using immiscible simulators made the two-phase saturation profile as near piston-like as possible and neglected component mixing due to possible and neglected component mixing due to diffusional processes. The capillary pressure function was chosen to minimize capillary flow. Also, in these miscible approximations, no provision had been made for viscosity variations provision had been made for viscosity variations with component concentration. Though mixing due to diffusional processes had been neglected, countercurrent diffusion due to component concentration differences in a miscible process should be essentially analogous to countercurrent capillary flow due to saturation differences in a two-phase system. This paper describes a method by which two- and three-phase reservoir simulators can be made to calculate miscible displacement rigorously. The only requirement of the method is that relative permeability and capillary pressure be special permeability and capillary pressure be special functions of saturation. With these properly chosen functions, the set of partial differential equations describing immiscible displacement becomes completely analogous to the partial differential equations describing miscible displacement. SPEJ P. 192


Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1480
Author(s):  
Tao Liu ◽  
Runqi Xue ◽  
Chao Liu ◽  
Yunfei Qi

The main difficulty posed by the parameter inversion of partial differential equations lies in the presence of numerous local minima in the cost function. Inversion fails to converge to the global minimum point unless the initial estimate is close to the exact solution. Constraints can improve the convergence of the method, but ordinary iterative methods will still become trapped in local minima if the initial guess is far away from the exact solution. In order to overcome this drawback fully, this paper designs a homotopy strategy that makes natural use of constraints. Furthermore, due to the ill-posedness of inverse problem, the standard Tikhonov regularization is incorporated. The efficiency of the method is illustrated by solving the coefficient inversion of the saturation equation in the two-phase porous media.


2011 ◽  
Vol 10 (3) ◽  
pp. 509-576 ◽  
Author(s):  
M. J. Baines ◽  
M. E. Hubbard ◽  
P. K. Jimack

AbstractThis article describes a number of velocity-based moving mesh numerical methods for multidimensional nonlinear time-dependent partial differential equations (PDEs). It consists of a short historical review followed by a detailed description of a recently developed multidimensional moving mesh finite element method based on conservation. Finite element algorithms are derived for both mass-conserving and non mass-conserving problems, and results shown for a number of multidimensional nonlinear test problems, including the second order porous medium equation and the fourth order thin film equation as well as a two-phase problem. Further applications and extensions are referenced.


1970 ◽  
Vol 10 (02) ◽  
pp. 135-139 ◽  
Author(s):  
H. Andre ◽  
D.W. Bennion

Abstract The mathematical description of transient gas flow through porous media leads to a second-order nonlinear partial differential equation for which no analytical solution bas been found. For flow in one linear dimension, this paper outlines a procedure for using finite Fourier transforms to reduce the partial differential equations to a set of first-order, partial differential equations to a set of first-order, nonlinear ordinary differential equations with time as the independent variable. The dependent variables of these equations are the Fourier transform coefficients of the gas pressure in the porous media The procedure is applied to an porous media The procedure is applied to an example problem and calculated results are compared with other published results obtained by a numerical finite-difference technique. The good agreement shown between the two sets of results tends to confirm the validity of both solutions. Introduction The differential equation describing one-dimensional gas flow in porous media is a nonlinear equation with no known analytical solution. Numerical finite-difference methods are normally used to solve the flow equation. This paper presents a method which uses linear analysis to transform a second-order problem into a set of first-order problems. Basically the approach used is to assume an approximation of the solution consisting of known functions and unknown parameters and apply some error distribution parameters and apply some error distribution principles to determine the parameters of the principles to determine the parameters of the approximation. Although there are several error distribution principles, one of the most common is the orthogonal method. Recently special cases of the orthogonal method, the Galerkin or Bubnov-Galerkin have been applied by Price et al., to petroleum reservoir problems with considerable success. A classical orthogonal method is finite Fourier transforms. Recently several authors have demonstrated that this method can be used with considerable success in the simulation of systems described by a limited class of linear partial differential equations. This paper is intended to demonstrate that the finite Fourier transform method can be used to reduce the nonlinear partial differential equation describing gas flow in a linear porous media to a set of ordinary differential equations. THEORY The basic equation being studied is: ............(1) which is derived from the continuity equation ...............(2) the equation of state ..............(3) and Darcy's law ................(4) For the orthogonal method of error distribution, the procedure is to assume an approximate solution Pa, define an error L[pa] and require that this error Pa, define an error L[pa] and require that this error be orthogonal to N independent functions n(x) (n=1,2.... N) ...................(5) SPEJ P. 135


Sign in / Sign up

Export Citation Format

Share Document