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Prediction of air quality index using machine learning techniques: a comparative analysis
NS Gupta, Y Mohta, K Heda, R Armaan… - … and Public Health, 2023 - Wiley Online Library
An index for reporting air quality is called the air quality index (AQI). It measures the impact
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …
Machine-learning predictions of solubility and residual trap** indexes of carbon dioxide from global geological storage sites
Ongoing anthropogenic carbon dioxide (CO 2) emissions to the atmosphere cause severe
air pollution that leads to complex changes in the climate, which pose threats to human life …
air pollution that leads to complex changes in the climate, which pose threats to human life …
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Careful design and preparation of drilling fluids with appropriate rheology and filtration
properties, combined with operational monitoring, is essential for successful drilling …
properties, combined with operational monitoring, is essential for successful drilling …
Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …
implementing most mathematical models of petroleum engineering geomechanics …
Optimized machine learning models for natural fractures prediction using conventional well logs
Identifying and characterizing natural fractures is essential for understanding fluid flow and
drainage in many oil and gas reservoirs, particularly carbonate. The presence of fractures …
drainage in many oil and gas reservoirs, particularly carbonate. The presence of fractures …
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern–a theoretical study
The utilization of CO 2 flooding is a widely applied enhanced oil recovery (EOR) technique
in mature onshore oil fields. As well as being able to increase oil production and recovery it …
in mature onshore oil fields. As well as being able to increase oil production and recovery it …
Short-term power load forecasting based on Seq2Seq model integrating Bayesian optimization, temporal convolutional network and attention
Y Dai, W Yu - Applied Soft Computing, 2024 - Elsevier
Power load forecasting is of great significance to the electricity management. However,
extant research is insufficient in comprehensively combining data processing and further …
extant research is insufficient in comprehensively combining data processing and further …
[HTML][HTML] A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques
Determination of pore pressure (PP), a key reservoir parameter that is beneficial for
evaluating geomechanical parameters of the reservoir, is so important in oil and gas fields …
evaluating geomechanical parameters of the reservoir, is so important in oil and gas fields …
Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage
AA Ewees, HV Thanh, MAA Al-qaness… - Journal of …, 2024 - Elsevier
Crucial for carbon capture, utilization, and storage (CCUS) initiatives and diverse industries,
heat transfer underscores the need for a precise assessment of carbon dioxide (CO 2) and …
heat transfer underscores the need for a precise assessment of carbon dioxide (CO 2) and …
[HTML][HTML] Deep eutectic solvent viscosity prediction by hybrid machine learning and group contribution
In this study, hybrid machine learning nonlinear models were developed to predict the
viscosity of DESs by combining the group contribution (GC) concept with the multilayer …
viscosity of DESs by combining the group contribution (GC) concept with the multilayer …