2 citations · 2 across the 4 of their papers we have counts for
4 papers
Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems
Guodong Chen, Jiu Jimmy Jiao, Qiqi Liu +2
Multi-objective optimization has burgeoned as a potent methodology for informed decision-making in enhanced geothermal systems, aiming to concurrently maximize economic yield, ensu…
Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems
Guodong Chen, Jiu Jimmy Jiao, Xiaoming Xue +1
Surrogate-assisted evolutionary algorithms have been widely developed to solve complex and computationally expensive multi-objective optimization problems in recent years. However,…
Fracture network characterization with deep generative model based stochastic inversion
Guodong Chen, Xin Luo, Jiu Jimmy Jiao +1
The distribution of fracture network is crucial to characterize the behaviors of flow field and solute transport, especially for enhanced geothermal systems, as fractures provide p…
Surrogate-assisted level-based learning evolutionary search for heat extraction optimization of enhanced geothermal system
Guodong Chen, Xin Luo, Chuanyin Jiang +1
An enhanced geothermal system is essential to provide sustainable and long-term geothermal energy supplies and reduce carbon emissions. Optimal well-control scheme for effective he…