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Author

Xiaoming Xue

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Sep 2026

Variance-Preserving Ensemble Smoother with Multiple Data Assimilation for History Matching with Diagonal Observation Error Covariance

The ensemble smoother with multiple data assimilation (ESMDA) is widely used for reservoir history matching because of its parallel computational efficiency and ease of implementation. Production data in high-dimensional reservoir applications are often correlated across time, wells, and response types. When a diagon...

Jinding Zhang, Pi-Yang Liu, Kai Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Towards Efficient Evaluation of Evolutionary Transfer Optimization: Case Studies on Task-Parameterized Applications

This work studies problem-side evaluation scaling in task-parameterized applications and reformulates application-specific serial computations into forms suitable for parallel execution and demonstrates problem-side reformulation as a practical route toward scalable ETO.

Yan-Chen Li, Xiaoming Xue, Kay Chen Tan · 0 citations

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