Multi-state CO2 distribution patterns for subsea carbon sequestration assisted by large-scale CO2 hydrate caps

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135231 - 135231

Published: Feb. 1, 2025

Language: Английский

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Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 55, P. 1422 - 1433

Published: Dec. 21, 2023

Language: Английский

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Advances in CO2-switchable surfactants towards the fabrication and application of responsive colloids

Advances in Colloid and Interface Science, Journal Year: 2023, Volume and Issue: 315, P. 102907 - 102907

Published: April 15, 2023

Language: Английский

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Molecular dynamics simulations of the interfacial tension and the solubility of brine/H2/CO2 systems: Implications for underground hydrogen storage

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 78, P. 1344 - 1354

Published: July 4, 2024

The interfacial tension (IFT) between the reservoir fluids and solubilities of injected hydrogen cushion gas in underground brine plays a critical role security efficiency trapping mechanisms associated with storage (UHS), but its behavior at molecular level is still poorly understood. This study utilizes dynamics simulations to provide insights into prevailing interactions characteristics CO2 (used as gas) high-pressure, high-temperature, various salt concentrations. reports H2 ternary brine/H2/CO2 systems for first time correlates findings UHS implementations. Results show that increase concentration reduces IFT due CO2-brine alike interactions. Besides, molecules trapped by bonds were quantified evaluate solubility during schemes.

Language: Английский

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Trace metals induce microbial risk and antimicrobial resistance in biofilm in drinking water

npj Clean Water, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 3, 2025

Language: Английский

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A review of in situ carbon mineralization in basalt

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2023, Volume and Issue: 16(4), P. 1467 - 1485

Published: Dec. 25, 2023

Global warming has greatly threatened the human living environment and carbon capture storage (CCS) technology is recognized as a promising way to reduce emissions. Mineral considered reliable option for long-term storage. Basalt rich in alkaline earth elements facilitates rapid permanent CO2 fixation carbonates. However, complex CO2-fluid-basalt interaction poses challenges assessing potential. Under different reaction conditions, carbonation products rates vary. Carbon mineralization reactions also induce petrophysical mechanical responses, which have potential risks injectivity safety basalt reservoirs. In this paper, recent advances based on laboratory research are comprehensively reviewed. The assessment methods introduced trapping mechanisms investigated with identification of controlling factors. Changes pore structure, permeability properties both static reactive percolation experiments discussed. This study provides insight into well perspectives future research.

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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Comparing CO2 Storage and Utilization: Enhancing Sustainability through Renewable Energy Integration

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6639 - 6639

Published: Aug. 3, 2024

Addressing the environmental challenges posed by CO2 emissions is crucial for mitigating global warming and achieving net-zero 2050. This study compares storage (CCS) utilization (CCU) technologies, highlighting benefits of integrating captured into fuel production. paper focuses on various carbon routes such as Power-to-Gas via Sabatier reaction, indirect production DME, Power-to-Fuel technologies. The maturity these technologies evaluated using Technology Readiness Level (TRL) method, identifying advancements needed future implementation. Additionally, regulations policies surrounding capture are reviewed to provide context their current status. emphasizes potential CCU reduce converting valuable fuels chemicals, thus supporting transition a sustainable energy system. findings indicate that while CCS more mature, promising can significantly contribute reducing greenhouse gas if green hydrogen becomes affordable. research underscores importance further technological development economic evaluation enhance feasibility adoption in pursuit long-term sustainability.

Language: Английский

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Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102889 - 102889

Published: Sept. 1, 2024

Language: Английский

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Predicting CO2 and H2 Solubility in Pure Water and Various Aqueous Systems: Implication for CO2–EOR, Carbon Capture and Sequestration, Natural Hydrogen Production and Underground Hydrogen Storage

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5723 - 5723

Published: Nov. 15, 2024

The growing energy demand and the need for climate mitigation strategies have spurred interest in application of CO2–enhanced oil recovery (CO2–EOR) carbon capture, utilization, storage (CCUS). Furthermore, natural hydrogen (H2) production underground (UHS) geological media emerged as promising technologies cleaner achieving net–zero emissions. However, selecting a suitable medium is complex, it depends on physicochemical petrophysical characteristics host rock. Solubility key factor affecting above–mentioned processes, critical to understand phase distribution estimating trapping capacities. This paper conducts succinct review predictive techniques present novel simple non–iterative models swift reliable prediction solubility behaviors CO2–brine H2–brine systems under varying conditions pressure, temperature, salinity (T–P–m salts), which are crucial many energy–related applications. proposed predict CO2 + H2O brine containing mixed salts various single salt (Na+, K+, Ca2+, Mg2+, Cl−, SO42−) typical (273.15–523.15 K, 0–71 MPa), well H2 NaCl (273.15–630 0–101 MPa). validated against experimental data, with average absolute errors pure water ranging between 8.19 8.80% 4.03 9.91%, respectively. These results demonstrate that can accurately over wide range while remaining computationally efficient compared traditional models. Importantly, reproduce abrupt variations composition during transitions account influence different ions solubility. capture salting–out (SO) gas types consistent previous studies. simplified presented this study offer significant advantages conventional approaches, including computational efficiency accuracy across conditions. explicit, derivative–continuous nature these eliminates iterative algorithms, making them integration into large–scale multiphase flow simulations. work contributes field by offering tools modeling subsurface environmental–related applications, facilitating their transition aimed at reducing

Language: Английский

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