Development of ensemble learning techniques and sequential model-based optimization for enhancing the generalizability of shale wettability predictions

Author:

Song Tianru,Zhu Weiyao,Pan Bin,Song Hongqing,Chen Zhangxin,Yue MingORCID

Funder

High-end Foreign Experts Recruitment Plan of China

Ministry of Science and Technology, Croatia

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference49 articles.

1. Assessment of wettability and rock-fluid interfacial tension of caprock: implications for hydrogen and carbon dioxide geo-storage;Ali;Int. J. Hydrogen Energy,2022

2. Shale wettability: data sets, challenges, and outlook;Arif;Energy Fuels,2021

3. A framework for feature selection through Boosting;Alsahaf;Expert Syst. Appl.,2022

4. Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm;Anh;Appl. Soft Comput.,2023

5. Performance prediction and Bayesian optimization of screw compressors using Gaussian Process Regression;Abhishek;Eng. Appl. Artif. Intell.,2024

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