Method for making a reservoir facies model utilizing a training image and a geologically interpreted facies probability cube
A technology for training images and reservoir facies, applied in simulation process, seismology, geophysical measurement, etc. for specific applications, and can solve problems such as inexplicability
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[0040] Figure 1 shows a workflow 100 for creating a reservoir facies model in accordance with a preferred embodiment of the present invention. In particular, the workflow uses training images in geostatistical simulations, combined with geologically interpreted facies probability cubes as soft constraints, to create reservoir facies models. The first step 110 in the workflow is to construct an S-grid representing the simulated subsurface region. The S-grid geometry is related to reservoir stratigraphy. Training images reflecting the interpreted facies types, their geometry, associations and heterogeneity are created in step 120 . A geologically interpreted facies probability cube is then created in step 130 . This facies probability cube captures information about the relative spatial distribution of facies in the S-grid based on geologic depositional information and conceptualization. The facies probability cube ideally obeys local facies distribution information such as w...
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