History Matching Reservoir Models With Many Objective Bayesian Optimization by Steven Samoil, Clyde Fare, Kirk E. Jordan, Zhangxin Chen

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Learning-based pattern-data-driven forecast approach for predicting future well responses by Yeongju Kim, Baehyun Min, Alexander Sun, Bo Ren, Hoonyoung Jeong

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Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data by Jie Zhan, Xifeng Ding, Hai Liu, Kongjie Wang, Zhipeng Wang, Wenting Guo, Ren-Shi Nie, Xianlin Ma, Zhenzihao Zhang

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Integrating Machine Learning Workflow into Numerical Simulation for Optimizing Oil Recovery in Sand-Shale Sequences and Highly Heterogeneous Reservoir by Dung Bui, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Adewale Amosu, William Ampomah

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Ensemble-based assisted history matching of DTS monitoring data in HT-ATES systems: application to a real-life case study by S. P. Szklarz, D. Dinkelman, N. Khoshnevis Gargar, B. Boullenger, E. Peters, E. G. D. Barros, M. Koenen

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