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Extend the machine-learning framework for pressure analysis on a single well to multiwell systems.
The framework should capture the well interference accurately and be able to test a greater area of the reservoir. Develop a machine-learning model to reconstruct the flow-rate history by use of pressure data. Ensure that both models maintain the advantages of the machine-learning- based single-well pressure interpretation in terms of the accuracy of prediction, computational efficiency, and tolerance to noise.