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Reactive chemical transport simulations of geologic carbon sequestration: Methods and applications
Chemical reaction simulations are considerably used to quantitatively assess the long-term
geologic carbon sequestration (GCS), such as CO 2 sequestration capacity estimations …
geologic carbon sequestration (GCS), such as CO 2 sequestration capacity estimations …
[HTML][HTML] A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation
Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
Hydrogen (H 2) absorption percentage by porous carbon media (PCM) is important for
identifying efficient H 2 storage media. PCM with H 2-uptakes of greater than 5 wt% are …
identifying efficient H 2 storage media. PCM with H 2-uptakes of greater than 5 wt% are …
Investigation of enhanced CO2 storage in deep saline aquifers by WAG and brine extraction in the Minnelusa sandstone, Wyoming
Geological CO 2 sequestration in deep saline aquifers has been extendedly investigated to
reach the goal of carbon neutral as large amount of CO 2 can be reduced in a short time …
reach the goal of carbon neutral as large amount of CO 2 can be reduced in a short time …
Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents
X Zhu, M Khosravi, B Vaferi, MN Amar… - Journal of Cleaner …, 2022 - Elsevier
Sulfur dioxide (SO 2) is one of the main atmospheric pollutants and an active threat to
human health. SO2 separation from industrial flue gases improves air quality, decreases …
human health. SO2 separation from industrial flue gases improves air quality, decreases …
[HTML][HTML] Prediction of CO2 solubility in water at high pressure and temperature via deep learning and response surface methodology
In the present study, temperature of 313.15–473.15 K and pressure of 0.5–200 MPa have
been developed for the CO 2 solubility simulations via deep learning artificial (ANN) neural …
been developed for the CO 2 solubility simulations via deep learning artificial (ANN) neural …
A new approach for predicting oil mobilities and unveiling their controlling factors in a lacustrine shale system: Insights from interpretable machine learning model
E Wang, Y Fu, T Guo, M Li - Fuel, 2025 - Elsevier
Petroleum remains a vital component of the global energy supply, and the exploration and
development of shale petroleum present significant opportunities for growth. The production …
development of shale petroleum present significant opportunities for growth. The production …
Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential
Liquefaction has caused many catastrophes during earthquakes in the past. When an
earthquake is occurring, saturated granular soils may be subjected to the liquefaction …
earthquake is occurring, saturated granular soils may be subjected to the liquefaction …
A review of machine learning in geochemistry and cosmochemistry: method improvements and applications
The development of analytical and computational techniques and growing scientific funds
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …
[HTML][HTML] Solubility and interfacial tension models for CO2–brine systems under CO2 geological storage conditions
Thermodynamic properties of the CO 2–brine pseudo-binary system are essential for the
design of geological carbon storage (GCS) projects, especially those utilizing saline …
design of geological carbon storage (GCS) projects, especially those utilizing saline …