Page 196 - Primer on Enhanced Oil Recovery
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EOR modeling                                                      185


           three-dimensional grid (3D grid). The grid is a cellular framework within which all
           the main stages of geological modeling take place.
              The main difference between a three-dimensional grid and a two-dimensional
           grid is that each cell of a three-dimensional grid occupies a certain volume in space,
           whereas a cell of a two-dimensional grid is characterized only by the area. A well-
           constructed three-dimensional grid is the basis for building a correct geological
           model. The vertical dimensions of the model cells are selected taking into account
           the differentiation of the section according to filtration   capacitive properties. The
           vertical resolution of the grid is determined by the number of layers, which are
           selected in such a way that it was possible to most adequately restore the reservoir
           distribution space, without losing a single interlayer. The horizontal increments of
           the grid are chosen by taking into the account well placements, well density and the
           size of the whole oil field (formation).
              Grid curves of facies, lithology, porosity, and oil saturation are transferred
           (averaged) to mesh cells along the drilled well trajectories.
              As a result of modeling, based on the probability of occurrence of a particular
           conditions, each cell with the related parameters is assigned a code (number) of the
           corresponding (collector or non-collector) properties (Fig. 15.4). In addition, the
           most important part of indicator modeling is the definition of variograms for each
           property. Variogram analysis works better when a large number of wells is evalu-
           ated. At this stage, the modeling of reservoir properties of deposits is performed
           separately for each litotype of rocks (sandy-aleurite and clay, for instance), which
           makes it possible to identify clear boundaries when moving from one type of rock
           to another.
              Then, a petrophysical model of the field is built (Fig. 15.5). The model is based
           on the results of the lithological modeling stage and allows to obtain consistent


























           Figure 15.4 An example of lithographic properties of the horizon.
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