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Kalman filtering is often used to provide state estimates and corresponding estimation errors. Usually, the process noise and measurement noise information is assumed to be known and independent of inputs. However, for hydraulic fracturing processes that use microseismic monitoring technology, the covariance of measurement noise depends on the input signals, which provides a new method to reduce uncertainty...
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