Motion pictures made from color-coded spatial distributions for fluid saturations, phase compositions, pressure, and temperature are applied to the interpretation of reservoir simulations. The use of computer animation is described as applied to several enhanced oil-recovery processes. Additional insight into simulation results can increase markedly the potential value of numerical simulation. Introduction Use of mathematical reservoir simulators to correlate reservoir data and to predict the behavior of petroleum reservoir recovery processes has become an important part of modern reservoir engineering. In addition to the major technical difficulties inherent in developing and running these simulators, it has been found that it is frequently difficult and time consuming to interpret and present the results from simulators. One underlying cause of this difficulty of interpretation and presentation of simulator results is the quantity of information provided by simulators. For example, a typical compositional thermal simulation (three components) might employ five wells and 300 grid blocks. At each grid block, temperature, pressure, three saturations, and an additional composition are available at each time step. Well rates and pressures, perhaps at several different completion intervals, also are calculated. If the simulation takes 300 time steps to run to completion, more than 450,000 numbers will represent the "solution" to the particular reservoir engineering problem (approximately 1,350,000 intergrid block fluxes also would have been computed and used by the simulator during the simulation). As several dozen of these simulations might be made during a field study, it is clear that the simulator user can be faced with more information from the computer than can be assimilated or interpreted conveniently.A second source of difficulty is the inherent two- and three-dimensional aspects of many simulations. It is straightforward to represent graphically the dynamic history of one-dimensional quantities such as well rates as a function of time. Two-dimensional quantities, such as water saturation as a function of position in a vertical cross section, are more difficult to display on a graph. One commonly used display method for two-dimensional cross sections is line-printer contour plots (Fig. 1). While contour plots provide for a rapid visual evaluation of spatially distributed quantities, a distinct advantage over tables of numbers, these plots have several disadvantages.1. They have a low information content - i.e., a number of such plots would have to be viewed simultaneously to provide a picture of all the reservoir variables in a given cross section at one point in time.2. The spatial resolution and the contour resolution of the plots are low.3. It is generally difficult to gain an appreciation of reservoir dynamics from these static "snapshot-in-time" representations of reservoir conditions. JPT P. 1331^
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