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Currently we see that the cumulative production is always off. Could it help steering the model in the right direction by condition the model to cumulative "observations" as well?
The text was updated successfully, but these errors were encountered:
Cumulative rates (Eclipse keywords WOPT, WWPT and WGPT) were added as possible observation types. A first test using only WOPT data at the final time with a 10% relative error standard deviation suggests that this might help to move the ensemble in the right direction, perhaps as a first step that could be followed by further fine tuning. The following figure is an example showing WOPR for 1 production well after 4 iterations with equal weights and an initial ensemble size of 240 (some members failed during the process):
Next test: add WWP and WGPT at the final time, and use smaller errors.
Currently we see that the cumulative production is always off. Could it help steering the model in the right direction by condition the model to cumulative "observations" as well?
The text was updated successfully, but these errors were encountered: