Representing Wells in Numerical Reservoir Simulation: Part 1 - Theory

1981 ◽  
Vol 21 (03) ◽  
pp. 323-338 ◽  
Author(s):  
Alexander S. Williamson ◽  
John E. Chappelear

Abstract A reservoir simulation system uses an analytical model to represent flow within a grid block as it enters or leaves a well. This model is called a well model. We give a description here of the theoretical background of a well model, including how the sandface pressure and saturation boundary conditions can be calculated and how the well boundary itself can be replaced (approximately) by a source function. This paper and the following companion paper, SPE 9770, present a unified viewpoint of material, some of which may be already familiar to simulator developers. Introduction Our concern in this paper is the theory of representation of wells and the well boundary condition in a reservoir simulator.It frequently has been noted that, except in the case of a central well in a problem involving cylindrical coordinates, it is impractical to represent a well with an internal boundary. The ratio of well radius to desired grid-block length can be of order 0.001 or less. In such cases, an alternative procedure has evolved in which the well is represented by a source. The relationship between the source strength, the wellbore flow, and the flow in the surrounding grid blocks composes an essential part of the well model. Even when the grid around a well is sufficiently fine to represent the well as an internal boundary, other features such as partial perforation, partial penetration, or skin may be important to the local flow but extend over a "small" interval in relation to the appropriate grid-block dimension. Here also, a suitable source representation is advantageous. We shall develop the source representation of a well for a variety of circumstances.The well boundary condition generally involves the sandface pressure and flow rate. However, these quantities also must be consistent with the requirements of wellbore flow - i.e., reservoir and wellbore flows are coupled, and a wellbore flow model is required. We describe a means of treating a wide variety of wellbore flows without creating a numerically cumbersome simulator. We hope that this paper may provide a basis for further work and discussion of this essential topic. Review of Literature The source representation of a well can be described as a local, approximate, steady, singular solution of the flow equations. The idea of separating a singularity of this type for special treatment is an old idea in applied mathematics. In series solutions to certain elliptic and parabolic equations, it was found that the convergence of the series could be improved considerably by first extracting the singular part. In these cases the singular solution extended through the entire domain. The analogous approach using numerical methods in place of the series solution is also well known. The use of singular solutions in a purely local role in numerical solutions was introduced before the general use of digital computers. Woods' use of a local logarithmic expression in a solution of Poisson's equation by relaxation methods corresponds closely to the source representation of a well recently proposed by Peaceman. SPEJ P. 323^

1981 ◽  
Vol 21 (03) ◽  
pp. 339-344 ◽  
Author(s):  
John E. Chappelear ◽  
Alexander S. Williamson

Abstract A reservoir simulation system uses an analytical model to represent flow within a grid block as it enters or leaves a well, This model is called a well model. This paper presents a succinct but comprehensive description of the installation of a well model in a simulator, including problems which may be encountered and possible remedies. This and the preceding paper, SPE 7697, present possible remedies. This and the preceding paper, SPE 7697, present a unified viewpoint of material, some of which may be already familiar to simulator developers. Introduction Our concern in this paper is the inclusion of a well model and well boundary conditions in a reservoir simulator. The source representation and the wellbore flow model are the basic components of the well model. The usefulness of the working version finally installed in a reservoir simulator depends greatly on the numerical implementation. We accordingly discuss numerical aspects of the well model for black-oil, compositional, and thermal well models.We have omitted a discussion of the incorporation into well models of surface gathering facilities and what could be called "well group constraints" such as lease, platform or pipeline constraints. These subjects easily could be the topics of several other papers.A satisfactory well model is frequently a key to successful simulation. Many of the details of well model development have not appeared in the petroleum literature. It is our hope that this paper may provide a basis for further work and discussion of this paper may provide a basis for further work and discussion of this essential topic. Implementation We shall discuss the implementation of the following equation (developed in Part 1) for the flow of each phase per completion interval. (1) Here, p is the phase (either oil, water, or gas). We note here certain aspects of this well model.1. The rates are in standard units.2. The relative permeability is calculated using the grid-block (average) fluid saturation from a well (i.e., not necessarily the grid-block) relative permeability table. It is at this point that the saturation boundary condition is imposed.3. The oil pressure is used to calculate the potential for all phases. Thus, capillarity, is not treated (i.e., no capillary end effect or water block). Also, the difference in phase pressures within a grid block due to gravity segregation is ignored.4. Zk is the vertical distance from the center of the kth completion interval to the center of the (k + 1)th completion interval (positive downward).5. The viscosity, formation volume factor, solution GOR, and density are calculated at gridblock pressure. Only the grid block for the completion interval is used.6. The skin and well radius are the same for every completion interval for each well.7. The external radius re of the grid block is a function of the grid-block, geometry. JPT P. 339


1969 ◽  
Vol 36 (3) ◽  
pp. 594-597 ◽  
Author(s):  
S. Tsao ◽  
W. Rodgers

This paper investigates the mathematical problem of fluid flow at a junction. It is shown that the junction pressure at a given time can be expressed approximately in terms of the known pressures and flow rates at and near the junction at an earlier time. After the junction pressure is determined, it serves as a boundary condition for all the transmission lines meeting at the junction. Several junction networks are computed for illustrative purposes.


2019 ◽  
Vol 52 (1) ◽  
pp. 237-248
Author(s):  
Esen Hanaç

AbstractIn this paper we investigate an initial-boundary value problem for the Burgers equation on the positive quarter-plane; $\matrix{ {{v_t} + v{v_x} - {v_{xx}} = 0,\,\,\,x > 0,\,\,\,t > 0,} \cr {v\left( {x,0} \right) = {u_ + },\,\,\,x > 0,} \cr {v\left( {0,t} \right) = {u_b},\,\,t > 0,} \cr }$ where x and t represent distance and time, respectively, and u+ is an initial condition, ub is a boundary condition which are constants (u+ ≠ ub). Analytic solution of above problem is solved depending on parameters (u+ and ub) then compared with numerical solutions to show there is a good agreement with each solutions.


2012 ◽  
Vol 709 ◽  
pp. 593-609 ◽  
Author(s):  
Jan Nordström ◽  
Björn Lönn

AbstractThe energy decay of vortices in viscous fluids governed by the compressible Navier–Stokes equations is investigated. It is shown that the main reason for the slow decay is that zero eigenvalues exist in the matrix related to the dissipative terms. The theoretical analysis is purely mathematical and based on the energy method. To check the validity of the theoretical result in practice, numerical solutions to the Navier–Stokes equations are computed using a stable high-order finite difference method. The numerical computations corroborate the theoretical conclusion.


2005 ◽  
Author(s):  
Larry S.K. Fung ◽  
HoJeen Su ◽  
Cheng T. Tan ◽  
Kesavalu Hemanthkumar ◽  
Jorge A. Pita

Author(s):  
Kyle N. Karlson ◽  
Michael J. Leamy

This article describes a shooting method that provides numerical solutions to static equilibrium equations for intrinsically curved beams in three-dimensions. Notably, the method avoids iteration for cantilever beams subjected to distributed or point follower loads. This is due to the governing equations being given in first-order form such that the specification of a single boundary condition on the forced end results in automatic satisfaction of the fixed boundary condition. Also documented is a general procedure for finding all solutions to static beam problems with conservative loading. This is particularly useful in beam buckling problems where multiple stable and unstable solutions exist. The procedure for finding all solutions is built around the Picard-Lindelöf theorem on the uniqueness and existence of solutions to initial value problems. Using the presented approach, three-dimensional equilibrium solutions are generated for many loading cases and boundary conditions, including a three-dimensional helical beam, and are compared to similar solutions available in the literature. The stability of the generated solutions is assessed using a dynamic finite element code based on the same intrinsic beam equations. Due to the absent need for iteration, the presented approach may find application in model-based control for practical problems such as the control of equipment utilized in endoscopic surgeries and the control of spacecraft with robotic arms and long cables.


SPE Journal ◽  
1996 ◽  
Vol 1 (04) ◽  
pp. 437-450 ◽  
Author(s):  
Y. Ding

Author(s):  
Sohita Rajput ◽  
Amit Kumar Pandey ◽  
Krishnendu Bhattacharyya ◽  
Ioan Pop

A model study of unsteady stagnation-point flow of most important nanoparticles, that is, carbon nanotubes suspended nanofluid towards shrinking/expanding sheet with convective boundary condition is demonstrated. Two types of carbon nanotubes, namely, single-wall and multi-wall nanotubes are carefully considered. Numerical solutions of converted equations from governing equation of the problem are obtained and those are graphically presented. Similar to without carbon nanotubes case, dual and unique solutions in specific ranges of velocity ratio parameter are achieved. Analysis disclosures that the condition on range where dual solutions exist is unaltered with solid-volume fraction and type of carbon nanotubes. The surface drag-force and heat transfer rate from wall are larger for single-walled carbon nanotubes nanofluid than multi-walled carbon nanotubes nanofluid. An increment in the parameter related to convective boundary condition generates high rate of heat transfer. After stability analysis, it is identified that in case of dual solutions, upper branch is stable and lower branch is unstable, while unique solution is always stable.


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