Update 3D field parameter with ensemble smoother with distance-based localization #12469
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Codecov Report❌ Patch coverage is
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## main #12469 +/- ##
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- Coverage 90.61% 76.29% -14.32%
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Lines 29470 29526 +56
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… 3D fields Added functions: - update_3D_field_with_distance_esmda - update_2D_field_with_distance_esmda - _calc_max_number_of_layers_per_batch_for_distance_localization - adjust_inactive_field_values_to_match_average_of_active_field_values The function 'update_3D_field_with_distance_esmda' will update one 3D field parameter using the algorithm implemented in class DistanceESMDA in repo iterative_ensemble_smoother. This function requires that an object of DistanceESMDA is input. It will split the field parameter in batches when necessary due to memory constraints. The function 'update_2D_field_with_distance_esmda' will update a 2D field (surface parameter), but in this case no split into batches. Failure will be thrown if 2D field is too large to be updated. The function '_calc_max_number_of_layers_per_batch_for_distance_localization' calculates the max size of a batch of field parameter values within the limit of available memory. The function ' adjust_inactive_field_values_to_match_average_of_active_field_values' is used to ensure that ensemble average is not influenced by extrapolated values of inactive field parameters. Is used to set field parameter values equal to ensemble average if they corresponds to realizations where the geomodel grid cell is inactive.
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Function to update 3D field parameters with the method implemented in DistanceESMDA for ensemble smoother with
distance-based localization
Linked to: #12406
Approach
A 3D field parameter can often not be update in one go due to large memory requirements due to the Kalman gain matrix K and the localization matrix RHO. To handle this the field parameter can be split into subsets or batches. Each batch should be a set of layers of field parameter values defined in the field parameter grid (ertbox grid). Each batch must consists of a complete set of layers, not subset of layers of field parameters. The main reason for processing the update by batches of layers of field parameters is that the calculation of scaling factors (elements in the RHO matrix) can be done layer by layer due to the assumption that only lateral distance is of importance in the definition of influence of an observation, hence the calculation of RHO is done for one layer and then copied to all the other layers of the ertbox grid.