Two-Dimensional Radial Treatment of Wells Within a Three-Dimensional Reservoir Model

1974 ◽  
Vol 14 (02) ◽  
pp. 127-138 ◽  
Author(s):  
Ivan Mrosovsky ◽  
R.L. Ridings

Abstract A reservoir simulator is described in which two-dimensional cylindrical models are used for individual wells within the framework of a three-dimensional, rectangular-grid, reservoir model. This approach to simulation should give more realistic results than those incorporating simpler well production routines. Application should be production routines. Application should be particularly pertinent to cases in which gas and particularly pertinent to cases in which gas and water coning are important. Computation cost is increased by this sophisticated treatment of wells, but total running costs are nevertheless low enough that judicious use of the model is warranted. Introduction Changes in pressure and fluid saturations occurring in a reservoir on production may be described by certain well known differential equations. These equations can be solved by finite-difference techniques. To this end a reservoir may be divided, more or less regularly, into a number of blocks. We consider here a three-dimensional model. A rectangular grid is superimposed on the reservoir, which is further divided vertically into several layers. This kind of subdivision is generally adequate for treating most of a reservoir. However, difficulty arises in the neighborhood of a well. Fluid saturations and pressures typically exhibit steep gradients in the neighborhood of a producing well. Moreover, these properties have values near the well that are markedly different from those prevailing over most of the well's drainage area. To prevailing over most of the well's drainage area. To model this situation using finite-difference methods, a fine grid would be necessary in the vicinity of the well. To extend such a fine grid throughout a reservoir, with many wells, would result in an impracticably large number of blocks. Instead, it is customary to simplify and approximate the calculation of well performance. A common recourse is to use a radial flow formula such as(1) Here the external radius, re, is set so that the area of a circle of this radius should equal the area of the block in which the well is situated. Obviously, this formula takes no account of the radial variation of fluid saturations. In this paper a different approach to the calculation of well performance is described. Each well in the three-dimensional (3D) reservoir model is also assigned a two-dimensional (2D) radial model covering its immediate vicinity. These radial models are solved simultaneously with the 3D reservoir model. Thus, precision is concentrated where it is most needed - near the wells; yet the 3D reservoir model is not blown up unduly. The equations and method of solution for the 3D model are briefly sketched in the Appendix. The 2D radial models are basically the same as that described by Letkeman and Ridings. We now discuss some details of the radial well models. In particular we shall be concerned with the interface particular we shall be concerned with the interface between the 2D radial well models and the 3D reservoir model. RADIAL WELL MODEL To make the discussion simpler and more concrete we take, as an example, a reservoir model we have run. This 3D reservoir model had 15 layers. Consider a well situated in one vertical column of 15 blocks. The 2D radial model for this well also has 15 layers. Each layer in the 2D model is further split radially into six concentric blocks. The relationship between the two models is depicted in Fig. 1. The total pore volume in any layer of the 2D model must equal the pore volume of the corresponding block in the same pore volume of the corresponding block in the same layer of the 3D model; that is, the block through which the well passes. Consider now the calculation of one time step, say 30 days, for the 3D reservoir model. To make this calculation, we require a well production rate. Actually we need three rates: one each for oil, water, and gas. These rates are obtained by solving the 2D model over the same 30-day period. SPEJ P. 127

1977 ◽  
Vol 17 (04) ◽  
pp. 251-262 ◽  
Author(s):  
E.G. Woods ◽  
A.K. Khurana

Abstract Three-dimensional numerical models of bottom-water-drive reservoirs show delayed water breakthrough into individual wells when compared with observed well performance and individual-well coning models. This reservoir-model behavior results from masking of the well coning effect by volume-averaging pressure and saturation profiles around a well over a grid block with a large volume. The reservoir-simulator prediction of well performance can be improved by mathematically performance can be improved by mathematically transforming the production performance of a detailed well-coning model into a set of time-independent pseudorelative-permeability and capillary-pressure curves that then can be used in the reservoir model. A procedure for obtaining the required pseudofunctions is described and the results of their application in simple models and in a large reservoir-simulator model are shown. Introduction The prohibitive cost of numerical reservoir simulation with fine-grid definition models of large reservoirs has led to development of techniques whereby vertical saturation distribution and/or localized flow conditions in the vicinity of individual wells can be approximately accounted for in relatively coarse-grid models at an acceptable incremental cost. In particular, vertical cross-section models under capillary and gravity equilibrium have been used to derive pseudorelative permeabilities and capillary pressures for use in two-dimensional, areal models to simulate the average vertical distribution of flow without having to pay the computing price of a full three-dimensional model. Coats et al. described the use of the vertical equilibrium concept for developing pseudorelative-permeability and capillary-pressure pseudorelative-permeability and capillary-pressure functions for simulating the vertical dimension in a two-dimensional, areal simulator model This method assumes gravity-capillary equilibrium in the vertical direction. Also, Coats et al. developed a dimensionless parameter for estimating when these conditions are valid. Martin formed a mathematical basis for pseudofunctions by reducing the equations for pseudofunctions by reducing the equations for three-phase, three-dimensional, compressible flow to two-dimensional relations by partial integration of the equations of flow. Hearn extended the pseudorelative-permeability concept by adapting it pseudorelative-permeability concept by adapting it to stratified reservoirs where viscous rather than gravity and capillary forces dominate the vertical sweep efficiency. Hawthorne studied the effects of capillary pressure on pseudorelative permeability derived from the Hearn stratified model. Jacks et al. further enlarged thepseudorelative-perrneability concept by developing dynamic pseudorelative permeabilities. (Dynamic pseudos, denoting pseudos permeabilities. (Dynamic pseudos, denoting pseudos determined under flowing rather than static conditions, allow one to account for the interaction between viscous and gravity forces resulting from rate variation in the vertical plane.) Kyte and Berry generalized the work of Jacks et al. by introducing the concept of pseudocapillary pressures and improving dynamic pseudofunction calculations to include varying flow potential gradients. Emanual and Cook expanded the concept of vertical cross-section, pseudorelative permeabilities to include the vertical performance of individual wells. Their procedure combines the effect of coning and well pseudorelative permeabilities for use in a two-dimensional, areal model. Chappelear and Hirasaki used a different approach to including of coning effects in a two-dimensional, areal simulator by developing a functional relationship among water cut, average oil-column thickness, and total rate based on an analytical incompressible, steady-state model. The most sophisticated approach to representing well-coning effects in a reservoir simulator has been taken by Mrosovsky and Ridings and Akbar et al. They incorporated detailed numerical well models into the reservoir-model grid. SPEJ P. 251


2000 ◽  
Vol 11 (08) ◽  
pp. 1555-1559 ◽  
Author(s):  
A. H. REED ◽  
R. B. PANDEY ◽  
D. L. LAVOIE

Three-dimensional (3D) spatial distributions of pore and grain volumes were determined from high-resolution computer tomography (CT) images of resin-impregnated marine sands. Using a linear gradient extrapolation method, cubic three-dimensional samples were constructed from two-dimensional CT images. Image porosity (0.37) was found to be consistent with the estimate of porosity by water weight loss technique (0.36). Scaling of the pore volume (Vp) with the linear size (L), V ~ LD provides the fractal dimensionalities of the pore volume (D = 2.74 ± 0.02) and grain volume (D = 2.90 ± 0.02) typical for sedimentary materials.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
K. Y. Xu ◽  
Z. N. Wang ◽  
Y. N. Wang ◽  
J. W. Xiong ◽  
G. Wang

The performances of a two-dimensional electron gas (2DEG) based planar nanodevice are studied by a two-dimensional-three-dimensional (2D-3D) combined model and an entirely 2D model. In both models, 2DEGs are depicted by 2D ensemble Monte Carlo (EMC) method. However electric field distributions in the devices are obtained by self-consistently solving 2D and 3D Poisson equations for the 2D model and the 2D-3D model, respectively. Simulation results obtained by both models are almost the same at low bias while showing distinguished differences at high bias. The 2D model predicts larger output current and slightly higher threshold voltage of Gunn oscillations. Although the fundamental frequencies of current oscillations obtained by both models are similar, the deviation of wave shape from sinusoidal waveform obtained by the 2D model is more serious than that obtained by 2D-3D model. Moreover, results obtained by the 2D model are more sensitive both to the bias conditions and to the change of device parameters. Interestingly, a look-like second harmonic oscillation has been observed at DC bias. We contribute the origin of divergences in simulation results to the different coupling path of electric field in the two models. And the second-harmonic oscillations at DC bias should be the result of the appearance of concomitant oscillations beside the channel excited by strong electric-field effects.


2008 ◽  
Vol 130 (10) ◽  
Author(s):  
H. Yin ◽  
L. Wang ◽  
S. D. Felicelli

A new two-dimensional (2D) transient finite element model was developed to study the thermal behavior during the multilayer deposition by the laser engineered net shaping rapid fabrication process. The reliability of the 2D model was evaluated by comparing the results obtained from the 2D model with those computed by a previously developed three-dimensional (3D) model. It is found that the predicted temperature distributions and the cooling rates in the molten pool and its surrounding area agree well with the experiment data available in literature and with the previous results calculated with the 3D model. It is also concluded that, for the geometry analyzed in this study, the 2D model can be used with good accuracy, instead of the computationally much more expensive 3D model, if certain precautions are taken to compensate for the 3D effects of the substrate. In particular, a 2D model could be applied to an in situ calculation of the thermal behavior of the deposited part during the fabrication, allowing dynamic control of the process. The 2D model is also applied to study the effects of substrate size and idle time on the thermal field and size of the molten pool.


2016 ◽  
Vol 26 (07) ◽  
pp. 1650118 ◽  
Author(s):  
Thorsten Hüls

We propose an algorithm for the approximation of stable and unstable fibers that applies to autonomous as well as to nonautonomous ODEs. The algorithm is based on computing the zero-contour of a specific operator; an idea that was introduced in [Hüls, 2006] for discrete time systems. We present precise error estimates for the resulting contour algorithm and demonstrate its efficiency by computing stable and unstable fibers for a (non)autonomous pendulum equation in two space dimensions. Our second example is the famous three-dimensional Lorenz system for which several approximations of the two-dimensional Lorenz manifold are calculated. In both examples, we observe equally well performance for autonomously and nonautonomously chosen parameters.


2017 ◽  
Vol 828 ◽  
pp. 837-866 ◽  
Author(s):  
Jeffrey Tithof ◽  
Balachandra Suri ◽  
Ravi Kumar Pallantla ◽  
Roman O. Grigoriev ◽  
Michael F. Schatz

We present a combined experimental and theoretical study of the primary and secondary instabilities in a Kolmogorov-like flow. The experiment uses electromagnetic forcing with an approximately sinusoidal spatial profile to drive a quasi-two-dimensional (Q2D) shear flow in a thin layer of electrolyte suspended on a thin lubricating layer of a dielectric fluid. Theoretical analysis is based on a two-dimensional (2D) model (Suri et al., Phys. Fluids, vol. 26 (5), 2014, 053601), derived from first principles by depth-averaging the full three-dimensional Navier–Stokes equations. As the strength of the forcing is increased, the Q2D flow in the experiment undergoes a series of bifurcations, which is compared with results from direct numerical simulations of the 2D model. The effects of confinement and the forcing profile are studied by performing simulations that assume spatial periodicity and strictly sinusoidal forcing, as well as simulations with realistic no-slip boundary conditions and an experimentally validated forcing profile. We find that only the simulation subject to physical no-slip boundary conditions and a realistic forcing profile provides close, quantitative agreement with the experiment. Our analysis offers additional validation of the 2D model as well as a demonstration of the importance of properly modelling the forcing and boundary conditions.


Author(s):  
Ning Ren ◽  
W. Wayne Chen ◽  
Dong Zhu ◽  
Yuchuan Liu ◽  
Q. Jane Wang

This paper reports the development of a novel three-dimensional (3D) deterministic model for rough surface line-contact mixed-EHL problems. This model is of great importance because line contacts are found in many mechanical components. The macro aspects of a line-contact problem can be simplified into a two-dimensional (2D) model, but the topography of contacting rough surfaces, micro asperity contacts, and lubricant flows around asperities are often 3D. The present model is based on Hu and Zhu’s unified mixed EHL model [1] and the mixed FFT-based approach formulated by Chen et al [2]. It is numerically verified through comparisons with results from conventional 2D line-contact EHL theories. Numerical examples involving sinusoidal roughness and digitized 3D machined surfaces are analyzed.


2009 ◽  
Vol 44 (6) ◽  
pp. 473-489 ◽  
Author(s):  
R J Grant ◽  
B C D Flipo

This paper describes a numerical study that investigates the effects of loading a lug with a pin. In this work, the loading direction is axial with respect to the lug. The models are both two-dimensional (2D) and three-dimensional (3D). The effects of a change in the level of pin interference, the amount of material around the pin hole, and the thickness of the lug are demonstrated and discussed. Through-thickness effects are shown to be appreciable, and a simple 2D model can give a potentially serious underestimation of the true stress levels which may be particularly significant when a joint is subjected to fatigue loading.


Author(s):  
H.A. Cohen ◽  
T.W. Jeng ◽  
W. Chiu

This tutorial will discuss the methodology of low dose electron diffraction and imaging of crystalline biological objects, the problems of data interpretation for two-dimensional projected density maps of glucose embedded protein crystals, the factors to be considered in combining tilt data from three-dimensional crystals, and finally, the prospects of achieving a high resolution three-dimensional density map of a biological crystal. This methodology will be illustrated using two proteins under investigation in our laboratory, the T4 DNA helix destabilizing protein gp32*I and the crotoxin complex crystal.


Author(s):  
B. Ralph ◽  
A.R. Jones

In all fields of microscopy there is an increasing interest in the quantification of microstructure. This interest may stem from a desire to establish quality control parameters or may have a more fundamental requirement involving the derivation of parameters which partially or completely define the three dimensional nature of the microstructure. This latter categorey of study may arise from an interest in the evolution of microstructure or from a desire to generate detailed property/microstructure relationships. In the more fundamental studies some convolution of two-dimensional data into the third dimension (stereological analysis) will be necessary.In some cases the two-dimensional data may be acquired relatively easily without recourse to automatic data collection and further, it may prove possible to perform the data reduction and analysis relatively easily. In such cases the only recourse to machines may well be in establishing the statistical confidence of the resultant data. Such relatively straightforward studies tend to result from acquiring data on the whole assemblage of features making up the microstructure. In this field data mode, when parameters such as phase volume fraction, mean size etc. are sought, the main case for resorting to automation is in order to perform repetitive analyses since each analysis is relatively easily performed.


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