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Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Groundwater models are essential for understanding aquifer systems behavior and effective
water resources spatio-temporal distributions, yet they are often hindered by challenges …
water resources spatio-temporal distributions, yet they are often hindered by challenges …
Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges
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 …
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
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
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 …
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 …
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 …
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
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 …
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
Accurately estimating high-dimensional permeability (k) fields through data assimilation is
critical for minimizing uncertainties in groundwater flow and solute transport simulations …
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 …
essential factor for selecting an appropriate excavation machine, tunnel design, and safe …