Engineering
3 years ago

New filter method improves accuracy of geosciences parameter estimation.

Advances in Water Resources
Investigating the pilot point ensemble Kalman filter for geostatistical inversion and data assimilation
Johannes Keller, Harrie‐Jan Hendricks Franssen, Wolfgang Nowak

Paper Summary

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Parameter estimation in geosciences is crucial, and the pilot point ensemble Kalman filter (PP-EnKF) is a promising method for this. The PP-EnKF was evaluated against seven other methods in tracer and well setups, showing better performance and closer correlation structures to a reference model. It effectively avoids spurious correlations and filter divergence, making it a valuable tool for accurate parameter estimation in large, time-dependent systems.