Sustainable pathways for biomass production and utilization in carbon capture and storage—a review

Biomass Conversion and Biorefinery, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 7, 2024

Language: Английский

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Estimating the hydrogen adsorption in depleted shale gas reservoirs for kerogens in underground hydrogen storage using machine learning algorithms

Fuel, Journal Year: 2025, Volume and Issue: 388, P. 134534 - 134534

Published: Feb. 5, 2025

Language: Английский

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Improving wettability estimation in carbonate formation using machine learning algorithms: Implications for underground hydrogen storage applications

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 111, P. 781 - 797

Published: Feb. 27, 2025

Language: Английский

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Recent advances on carbon dioxide sequestration potentiality in salt caverns: A review

International journal of greenhouse gas control, Journal Year: 2024, Volume and Issue: 133, P. 104109 - 104109

Published: March 1, 2024

Language: Английский

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Estimating Carbon Dioxide Solubility in Brine Using Mixed Effects Random Forest Based on Genetic Algorithm: Implications for Carbon Dioxide Sequestration in Saline Aquifers

SPE Journal, Journal Year: 2024, Volume and Issue: 29(11), P. 6530 - 6546

Published: Sept. 20, 2024

Summary Accurate prediction of carbon dioxide (CO2) solubility in brine is crucial for the success capture and storage (CCS) by means geological formations like aquifers. This study investigates effectiveness a novel genetic algorithm-mixed effects random forest (GA-MERF) model estimating CO2 brine. The model’s performance compared with established methods group method data handling (GMDH), backpropagation neural networks (BPNN), traditional thermodynamic models. GA-MERF utilizes experimental collected from literature, encompassing key factors influencing solubility: temperature (T), pressure (P), salinity. These are used to train validate ability predict values. results demonstrate superiority other Notably, achieves high coefficient determination (R) 0.9994 unseen data, indicating strong correlation between estimated actual Furthermore, exhibits exceptionally low error metrics, root mean squared (RMSE) 2×10-8 absolute (MAE) 1.8×10-11, signifying outstanding accuracy Beyond its accuracy, offers an additional benefit—reduced computational time models investigated, 65 seconds. efficiency makes particularly attractive tool real-world applications where rapid reliable predictions critical. In conclusion, this presents as powerful efficient predicting Its superior existing previous literature highlights potential valuable researchers engineers working on CCS projects utilizing aquifer storage. rates, reduced make promising candidate advancing development effective technologies.

Language: Английский

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A Review on carbon dioxide sequestration potentiality in basaltic rocks: Experiments, simulations, and pilot tests applications

Geoenergy Science and Engineering, Journal Year: 2024, Volume and Issue: 242, P. 213253 - 213253

Published: Aug. 28, 2024

Language: Английский

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Coal Wettability: A Holistic Overview of the Data Sets, Influencing Factors, and Knowledge Gaps

Energy & Fuels, Journal Year: 2024, Volume and Issue: 38(16), P. 15069 - 15084

Published: Aug. 1, 2024

Coal seams are naturally occurring geological media offering tremendous potential for gas storage. The wetting characteristics of coals at typical formations underpin a diverse array processes spanning coal resource recovery, combustion, enhanced beneficiation, methane and CO2 storage sustainable energy transition. An accurate characterization wettability is thus crucial remains an active area research. intrinsic heterogeneity surfaces the presence multicomponent systems add layers intricacy to behavior. In particular, challenging because it complex multifaceted function range influencing parameters. These include parameters (such as rank, ash content, microstructure), operating conditions (e.g., injection pressure, seam temperature, salinity), sample conditioning factors surface roughness, polishing, cleaning, etc.). This study develops repository data sets (using contact angle measurements, nuclear magnetic resonance method, spontaneous imbibition) conditions. critically analyzed explained. We also identify limitations related measurement techniques present outlook future research in this area. findings suggest that coal/CO2/brine exhibit from weakly water-wet strongly CO2-wet. main contributing increased but not limited high low moderate temperatures, salinity, vitrinite reflectance. Thus, offers succinct analysis sets, presents overview cutting-edge technologies, discusses advances field improve understanding associated impact on fluid flow microstructure.

Language: Английский

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Geological parameters and gas mixture composition on enhanced coalbed methane recovery: A THM modeling approach

Petroleum Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Influence of Coal Rank, Ash, Mineral Content, and Maceral Composition on CO2 Adsorption in South African Coals

Cleaner Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 100160 - 100160

Published: Feb. 1, 2025

Language: Английский

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Application of Molecular Dynamics Simulation in CO2-EOR and CO2 Geological Storage: A Review

Geoenergy Science and Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 213894 - 213894

Published: April 1, 2025

Language: Английский

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