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Hung Vo Thanh

Showing results (1-10 of 13) with videos related to

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Scientific Reports|October 24, 2020
Application of artificial neural network for predicting the performance of CO<sub>2</sub> enhanced oil recovery and storage in residual oil zonesHung Vo Thanh, Yuichi Sugai, Kyuro Sasaki
Scientific Reports|January 3, 2024
Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applicationsWatheq J Al-Mudhafar, Hung Vo Thanh, David A Wood, et al.
The Science of the Total Environment|February 9, 2023
Application of robust deep learning models to predict mine water inflow: Implication for groundwater environment managementSonglin Yang, Huiqing Lian, Bin Xu, et al.
Scientific Reports|December 27, 2024
Investigating steeply inclined abandoned mines for unlocking the secrets of water level recoveryYarui Li, Huiqing Lian, Songlin Yang, et al.
Water Research|November 8, 2024
An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifersMingxu Cao, Zhenxue Dai, Junjun Chen, et al.
Entropy (Basel, Switzerland)|November 24, 2022
Evaluating the Applications of Dendritic Neuron Model with Metaheuristic Optimization Algorithms for Crude-Oil-Production ForecastingMohammed A A Al-Qaness, Ahmed A Ewees, Laith Abualigah, et al.
The Science of the Total Environment|March 20, 2023
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storageHemeng Zhang, Hung Vo Thanh, Mohammad Rahimi, et al.
Environmental Science and Pollution Research International|December 10, 2022
Predicting CO2 trapping in deep saline aquifers using optimized long short-term memoryMohammed A A Al-Qaness, Ahmed A Ewees, Hung Vo Thanh, et al.
The Science of the Total Environment|July 28, 2023
Investigating the influence of bentonite colloids on strontium sorption in granite under various hydrogeochemical conditionsFangfei Cai, Funing Ma, Xiaoying Zhang, et al.
Journal of Advanced Research|November 9, 2024
Advanced machine learning schemes for prediction CO<sub>2</sub> flux based experimental approach in underground coal fire areasYongjun Wang, Mingze Guo, Hung Vo Thanh, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Scientific Reports|October 24, 2020
Application of artificial neural network for predicting the performance of CO<sub>2</sub> enhanced oil recovery and storage in residual oil zonesHung Vo Thanh, Yuichi Sugai, Kyuro Sasaki
Scientific Reports|January 3, 2024
Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applicationsWatheq J Al-Mudhafar, Hung Vo Thanh, David A Wood, et al.
The Science of the Total Environment|February 9, 2023
Application of robust deep learning models to predict mine water inflow: Implication for groundwater environment managementSonglin Yang, Huiqing Lian, Bin Xu, et al.
Scientific Reports|December 27, 2024
Investigating steeply inclined abandoned mines for unlocking the secrets of water level recoveryYarui Li, Huiqing Lian, Songlin Yang, et al.
Water Research|November 8, 2024
An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifersMingxu Cao, Zhenxue Dai, Junjun Chen, et al.
Entropy (Basel, Switzerland)|November 24, 2022
Evaluating the Applications of Dendritic Neuron Model with Metaheuristic Optimization Algorithms for Crude-Oil-Production ForecastingMohammed A A Al-Qaness, Ahmed A Ewees, Laith Abualigah, et al.
The Science of the Total Environment|March 20, 2023
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storageHemeng Zhang, Hung Vo Thanh, Mohammad Rahimi, et al.
Environmental Science and Pollution Research International|December 10, 2022
Predicting CO2 trapping in deep saline aquifers using optimized long short-term memoryMohammed A A Al-Qaness, Ahmed A Ewees, Hung Vo Thanh, et al.
The Science of the Total Environment|July 28, 2023
Investigating the influence of bentonite colloids on strontium sorption in granite under various hydrogeochemical conditionsFangfei Cai, Funing Ma, Xiaoying Zhang, et al.
Journal of Advanced Research|November 9, 2024
Advanced machine learning schemes for prediction CO<sub>2</sub> flux based experimental approach in underground coal fire areasYongjun Wang, Mingze Guo, Hung Vo Thanh, et al.
Pageof 2