Automatic identification method for reservoir configuration interface in oil reservoir geologic model
A reservoir geological model, automatic recognition technology, applied in character and pattern recognition, 3D modeling, image data processing, etc.
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Embodiment 1
[0066] Embodiment A pair of reservoir model grids is traversed to extract configuration boundaries and identify them
[0067] image 3 A fine reservoir model grid generated by stochastic simulation is given. The grid attributes are facies attributes and reservoir structural unit attributes, as shown in the figure, different types of reservoir structural units and the same type of different levels of reservoirs The distribution of structural units is very complex both on the plane and vertically. This algorithm helps geological researchers identify the boundaries of each reservoir structural unit.
Embodiment 2
[0068] Example 2 Extracting the reservoir structure units included in the grid of the reservoir model
[0069] Figure 4 The reservoir geological model of a certain actual work area is given, and the method is applied to divide the reservoir structure units, and the grids belonging to different reservoir layer structure units are extracted to form different grid sets, and these grid sets are applied to Quantitative statistics, analysis and calculation of reservoir structural units. Figure 5 display a collection of partial reservoir structural units, Image 6 Shown is a single reservoir structural unit, for Figure 7 The displayed meandering river type reservoir structural units were statistically analyzed as follows;
[0070] Geometric attributes: the average width of the river is 52.3 meters, the maximum width of the river is 78.1 meters, the curvature of the river is 3.8, the average thickness is 35.6 meters, and the direction of the main stream of the river is 43.2 degr...
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