Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence

C Zhan, Z Dai, S Yin, KC Carroll, MR Soltanian - Water Research, 2024 - Elsevier
Groundwater models are essential for understanding aquifer systems behavior and effective
water resources spatio-temporal distributions, yet they are often hindered by challenges …

Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges

Z Du, Z Dai, Z Yang, C Zhan, W Chen, M Cao… - … and Sustainable Energy …, 2024 - Elsevier
Hydrogen, as a clean and efficient energy source, is important in achieving zero-CO 2
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …

SEB-ChOA: an improved chimp optimization algorithm using spiral exploitation behavior

L Qian, M Khishe, Y Huang, S Mirjalili - Neural Computing and …, 2024 - Springer
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …

Subsurface sedimentary structure identification using deep learning: A review

C Zhan, Z Dai, Z Yang, X Zhang, Z Ma, HV Thanh… - Earth-Science …, 2023 - Elsevier
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …

Predicting tunnel water inflow using a machine learning-based solution to improve tunnel construction safety

A Mahmoodzadeh, H Ghafourian… - Transportation …, 2023 - Elsevier
Water inflow is a typical and complicated geological hazard that may have a significant effect
on both the building timeline and the safety of a tunnel under construction. Therefore …

Robust runoff prediction with explainable artificial intelligence and meteorological variables from deep learning ensemble model

J Wu, Z Wang, J Dong, X Cui, S Tao… - Water Resources …, 2023 - Wiley Online Library
Accurate runoff forecasting plays a vital role in issuing timely flood warnings. Whereas,
previous research has primarily focused on historical runoff and precipitation variability …

From oil and mineral extraction to renewable energy: Analyzing the efficiency of green technology innovation in the transformation of the oil and gas sector in the …

N Li, A Dilanchiev, G Mustafa - Resources Policy, 2023 - Elsevier
This study explores the transformation process within the oil and gas sector of the extractive
industry. It examines the move from conventional oil and mineral extraction methods towards …

Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios

R Kumar Pandey, A Gandomkar, B Vaferi, A Kumar… - Scientific Reports, 2023 - nature.com
High oil prices and concern about limited oil reserves lead to increase interest in enhanced
oil recovery (EOR). Selecting the most efficient development plan is of high interest to …

An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifers

M Cao, Z Dai, J Chen, H Yin, X Zhang, J Wu, HV Thanh… - Water Research, 2025 - Elsevier
Accurately estimating high-dimensional permeability (k) fields through data assimilation is
critical for minimizing uncertainties in groundwater flow and solute transport simulations …

Application of several fuzzy-based techniques for estimating tunnel boring machine performance in metamorphic rocks

H Samadi, A Mahmoodzadeh… - Rock Mechanics and …, 2024 - Springer
Tunnel boring machine (TBM) performance prediction in mechanized tunneling is an
essential factor for selecting an appropriate excavation machine, tunnel design, and safe …