Article
Energy & Fuels
Hung Vo Thanh, Qamar Yasin, Watheq J. Al-Mudhafar, Kang-Kun Lee
Summary: In this study, machine learning models were developed to predict the efficiency of carbon dioxide sequestration in saline formations, and the XGBoost model achieved the highest accuracy. This research provides a valuable and viable template for predicting the CO2 trapping index in other saline formations and can be used as a tool for assessing the uncertainty of carbon storage projects.
Article
Energy & Fuels
Jiazheng Qin, Qianhu Zhong, Yong Tang, Zhenhua Rui, Shuai Qiu, Haoyu Chen
Summary: The application of Saline Aquifer CO2 Storage (SACS) projects in offshore saline aquifers in China shows promising potential in terms of technical and economic viability. However, the storage capacities determined by different methods vary significantly. The CO2BLOCK method seems to provide more reasonable results and further confirms the immense potential of industrial-scale pilot and demonstration CO2 storage projects in offshore deep saline aquifers in China.
Article
Green & Sustainable Science & Technology
Xiaocong Lyu, Denis Voskov, William R. Rossen
Summary: This study utilizes a consistent thermodynamic model to describe the complex phase behavior of the CO2-brine system, incorporating an IT model for foam to accurately capture the dynamics of CO2 foam in the sequestration process. Simulation results validate the effectiveness of enhanced CO2 dissolution and foam in CO2 storage.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Green & Sustainable Science & Technology
Alessandro Suriano, Costanzo Peter, Christoforos Benetatos, Francesca Verga
Summary: This study investigates the impact of model grid discretization on CO2 injection and trapping in underground storage. The results highlight that grid refinement is crucial for accurately simulating pressure evolution and the amount of CO2 trapped in geological formations.
Article
Green & Sustainable Science & Technology
Heng Wang, Yuchen Xin, Zuhao Kou, Yunkai Qu, Lei Wang, Yanrui Ning, Dazhong Ren
Summary: This study investigates the feasibility and efficiency of underground hydrogen storage (UHS) in Nugget Sandstone and explores the effects of key parameters on the fate of H2 within the reservoir and H2 recovery efficiency. The results provide valuable insights for accelerating decarbonization goals through the transition to hydrogen energy.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Sergey Fominykh, Stevan Stankovski, Vladimir M. Markovic, Dusko Petrovic, Sead Osmanovic
Summary: The storage of CO2 is a significant global concern due to its impact on climate change. Carbon Capture and Storage (CCS) is a possible solution that involves removing excess CO2 from the atmosphere and securely storing it. This study focuses on horizontal saline aquifers and their ability to store CO2, analyzing the impact of CO2 permeability and aquifer porosity on horizontal migrations.
Article
Green & Sustainable Science & Technology
Takashi Akai, Takashi Kuriyama, Shigeru Kato, Hiroshi Okabe
Summary: The study utilized field data for numerical modeling of long-term CO2 storage and revealed that the dominant storage mechanism during CO2 injection was structural trapping, while residual gas trapping occurred after injection cessation. Significant changes in storage mechanisms occurred within 20 years post-injection, transitioning to solubility trapping after 100 years with decreased residual CO2 trapping. Mass diffusion of CO2 controlled CO2 invasion into the cap rock over a simulation period of 1000 years.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Geosciences, Multidisciplinary
Xiaofang Shen, Weihong Dong, Yuyu Wan, Fengjun Zhang, Zhijiang Yuan, Qichen Zhang
Summary: This study found that microbial action in deep saline aquifer has a positive influence on CO2 geological storage, increasing the amount of injected CO2 and enhancing CO2 mineral sequestration. Microbes promote dissolution of minerals at the initial stage and accelerate precipitation of carbon-fixing minerals at later stages, improving CO2 storage security.
NATURAL RESOURCES RESEARCH
(2021)
Article
Thermodynamics
Hung Vo Thanh, Kang-Kun Lee
Summary: This paper investigates the prediction of CO2 trapping efficiency in deep saline formations using machine learning models including Gaussian process regression (GPR), support vector machine (SVM), and random forest (RF). The results highlight the effectiveness of the GPR model in accurately estimating CO2 trapping performance and achieving good agreement with field observations.
Article
Energy & Fuels
Cunqi Jia, Bo Ren, Kamy Sepehrnoori, Mojdeh Delshad, Boyu Liu, Hai Sun, Jun Yao
Summary: Understanding buoyancy-driven flow is crucial for safe and efficient underground hydrogen storage in saline aquifers. This study develops a 3D numerical model to investigate the behavior of hydrogen buoyant flow in an aquifer for hydrogen storage. Various storage formation heterogeneities and fluid-rock interaction parameters are examined to evaluate storage efficiency. Results indicate that hydrogen escape ratios and migration characteristics are mainly influenced by formation heterogeneities, including Dykstra-Parsons coefficient, autocorrelation length, and permeability anisotropy.
Article
Energy & Fuels
Li Yang, Wang Rui, Qingmin Zhao, Zhaojie Xue, Yinbang Zhou
Summary: A four-scale and three-level CO2 storage potential evaluation method for saline aquifers in a petroliferous basin in China is proposed, considering geological, engineering, and economic factors. The method evaluates theoretical storage capacity, engineering storage capacity, and economic storage capacity, considering factors such as trapping mechanisms, injectivity, storage security pressure, well number, and carbon pricing yield. Application of this method in the Gaoyou sag of the Subei Basin reveals the proportion of different trapping mechanisms and highlights the significant difference between theoretical, engineering, and economic storage capacity.
PETROLEUM EXPLORATION AND DEVELOPMENT
(2023)
Article
Environmental Sciences
Avihai Tsinober, Ravid Rosenzweig, Holger Class, Rainer Helmig, Uri Shavit
Summary: Dissolution trapping is important in CO2 geological storage, and background flow can suppress the development of convective fingers in CO2 dissolution. The dissolution process can be categorized into three regimes based on the Pe/Ra ratio: natural convection dominant, pure forced convection dominant, and both natural and forced convection important.
WATER RESOURCES RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Panagiotis Karvounis, Martin J. Blunt
Summary: This study analyzed potential CO2 storage sites in the North Sea to estimate available storage capacity. The results showed tremendous potential for CO2 storage to play a significant role in averting a temperature increase of more than 1.5 degrees C in Europe.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Energy & Fuels
Boyu Liu, Jun Yao
Summary: This study systematically investigates the impact of H2S concentration, fractures, and lithology sequence on density-driven convection of CO2-H2S mixtures. The results demonstrate that density-driven convection is enhanced with decreasing H2S concentration and increasing fracture interaction angle and fracture conductivity ratio. The findings also show that the lithology sequence affects the shape of CO2 plumes and the curve shape of the total flux at the top boundary.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Water Resources
Mengjie Zhao, Yuhang Wang, Marc Gerritsma, Hadi Hajibeygi
Summary: Deep learning is used to effectively predict the migration of CO2 in deep saline aquifers, improving the efficiency of storage technology. A deep learning workflow employing encoder-decoder architectures with residual network (ResNet) is developed to predict the spatial-temporal evolution of CO2-brine ratio (Rs) and gas saturation (Sg). The results demonstrate that the deep learning model can accurately predict CO2 migration and is faster than traditional physics-based simulation methods.
ADVANCES IN WATER RESOURCES
(2023)
Article
Energy & Fuels
Ye Tang, Zhe Yang, Yilian Li, Danqing Liu, Yu Ning, Yangyang Zhang, Sen Yang, Zhi Tang
Summary: Efficient extraction of uranium is crucial for reducing radioactive hazards and supplementing nuclear resources. In this study, the effects of different additives on uranium extraction during combustion were investigated, with CaCO3 showing the most significant improvement. Various experiments were conducted to study the fate of uranium during combustion with and without CaCO3, revealing changes in the behavior of active uranium and its interaction with different phases. Overall, co-firing with CaCO3 has the potential to significantly enhance uranium extraction efficiency.
Article
Geochemistry & Geophysics
Sen Yang, Danqing Liu, Zhe Yang, Changxiang Wang, Xiaohong Chen, Hai Li, Quan Li, Baoguo Yang, Yilian Li
Summary: The study investigated the mobility of trace elements in shale during oxidant stimulation, revealing different affinities between TEs and various fractions in the shale. It was found that carbonate minerals and pyrite played critical roles in reducing the mobility of TEs, highlighting the importance of understanding shale composition and optimizing engineering parameters before the in-situ application of this technology.
APPLIED GEOCHEMISTRY
(2021)
Article
Environmental Sciences
Fengcheng Jiang, Yilian Li, Wei Zhou, Sen Yang, Zhe Yang, Yu Ning, Danqing Liu, Yuan Zhang, Baoguo Yang, Zhi Tang
Summary: The oxidation process of monochlorobenzene (MCB) is influenced by the presence of anions, cations, and natural organic matter in groundwater. Cysteine (Cys) enhances the removal of MCB, while certain anions and cations can inhibit the degradation of MCB.
Article
Energy & Fuels
Danqing Liu, Sen Yang, Manling Yi, Jinhao Yu, Yang Zhang, Zhe Yang, Yilian Li
Summary: This study investigates the interactions between shale and persulfate, revealing the mechanism of shale matrix alteration due to the treatment with persulfate. The results show that pyrite and kerogen are preferentially oxidized by persulfate, and calcite, dolomite, and chlorite promote the oxidation of kerogen.
Article
Geochemistry & Geophysics
Kaisar Ahmat, Jianmei Cheng, Ying Yu, Ruirui Zhao, Jie Li
Summary: In this study, the transformation and reactions of CO2-water-rock interactions in carbonate formations were investigated through autoclave experiments and batch modeling. The initial mineral compositions and water chemistry were found to have important effects on the interactions, with the dissolution of calcite and dolomite dominating in the early reaction period.
Article
Geochemistry & Geophysics
Danqing Liu, Manling Yi, Sen Yang, Fang Liu, Yilian Li
Summary: This study explores the oxidation performance of gas-bearing carbonate-poor shale with hydrogen peroxide (H2O2) at low temperature, and finds that pyrite is more easily oxidized by H2O2 compared to kerogen, and has a higher reaction rate. The presence of calcite can inhibit the oxidation of reduced components.
APPLIED GEOCHEMISTRY
(2022)
Article
Geochemistry & Geophysics
Jinhao Yu, Danqing Liu, Sen Yang, Yilian Li
Summary: This study selected the optimal sulfide-modified nanoscale zero-valent iron (S-nZVI) for the removal of Cr(VI) from groundwater and discussed its mechanism and influencing factors. CaSx-nZVI exhibited the highest removal efficiency and showed a higher removal rate in highly chromium-containing groundwater.
APPLIED GEOCHEMISTRY
(2022)
Article
Environmental Sciences
Chang He, Zhe Yang, Yu Ning, Sen Yang, Fengcheng Jiang, Jiayi Zhang
Summary: This study investigated the effects of montmorillonite on the adsorption of Fe(II) and phase transformation of ferrihydrite under near-neutral pH. The results showed that montmorillonite inhibited the adsorption of ferrihydrite but promoted the formation of labile Fe(III). pH and solid ratio had significant influences on the maximum adsorption and the conversion ratios of labile Fe(III).
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Geochemistry & Geophysics
Danqing Liu, Sen Yang, Manling Yi, Yang Zhang, Zhe Yang, Yilian Li
Summary: Alteration of the seepage channel through shale-oxidant interactions is crucial for enhancing fluid mobility in tight shale reservoirs. This study investigates the impact of three oxidants on the alteration of shale pores and fractures at reservoir temperature. The results demonstrate the distinct effects of different oxidants, with Na2S2O8 showing the most promising potential for improving shale permeability.
APPLIED GEOCHEMISTRY
(2023)
Article
Environmental Sciences
Cong Yang, Ke Liu, Sen Yang, Wenjia Zhu, Lei Tong, Jianbo Shi, Yanxin Wang
Summary: In this study, the adsorption capacities and mechanisms of metformin (MET) on different sedimentary matrices were investigated. The majority of sediments tested were composed of clay minerals, and the adsorption of MET decreased with increasing quartz composition and depth. An artificial neural network model was used to assess the influence of sediment composition on MET adsorption, revealing the dominant roles of chlorite and montmorillonite. Electrostatic attraction, cation exchange, and chemical bonding were identified as the primary mechanisms governing MET adsorption on sediments.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Zhi Feng, Yu Ning, Sen Yang, Jinhao Yu, Weiwei Ouyang, Yilian Li
Summary: In this paper, a simple and efficient method was proposed to reduce arsenic in high-acidic arsenic-containing wastewater, which poses significant threats to human health and ecological safety. By using potassium borohydride (KBH4) as a reducing agent, soluble arsenic was converted into gaseous arsine (AsH3) or solid arsenic (As-0) to remove arsenic from the wastewater. The reaction kinetics analysis showed that the fast reaction stage followed pseudo-first-order kinetics, with an arsenic removal rate of over 73% in 0.5 minutes and equilibrium reached after 30 minutes. Various influencing factors, including arsenic valence, aeration, addition method, concentrations of reducing agent, and hydrogen ion (H+) concentration, were investigated. The results demonstrated that As(III) was easier to be removed than As(V), multiple additions of KBH4 and aeration were favorable for arsenic removal, increased KBH4 concentration enhanced the removal of arsenic, appropriate H+ concentration contributed to arsenic removal while excessive H+ concentration had an inhibitory effect. The maximum removal rate of arsenic reached 95.87%, with a maximum removal capacity of 45.50 mg/g. XRD and SEM-EDS analysis confirmed that amorphous arsenic (As-0) was generated after reduction of soluble arsenic, with a mass ratio of more than 94.52%. The study also revealed the reaction mechanism of reductive degradation, where soluble arsenic reacts with hydrogen radicals (H center dot) to form solid arsenic (As-0) and gaseous arsine (AsH3) in a molar ratio of 6:1. While solid arsenic (As-0) is convenient for removal from wastewater, attention should be paid to the formation of AsH3 and strategies for AsH3 treatment should be considered.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Danqing Liu, Ramesh Agarwal, Fang Liu, Sen Yang, Yilian Li
Summary: This study evaluates the CO2 carbonatization potential of the Deccan basalt formation in Eastern India and explores the mechanisms of CO2 mineralization in basalt. The findings are valuable for carbon mitigation efforts in India and globally.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Baoguo Yang, Fenglan Han, Zuoming Xie, Zhe Yang, Fengcheng Jiang, Sen Yang, Yilian Li
Summary: This study investigates the dephosphorization performance of Zr-modified coal gasification coarse slag (CGCS) as a carrier material. The results show that CGCS-Zr4 has a large specific surface area, good adsorption selectivity for phosphate ions, and excellent reusability. It is also suitable for the continuous treatment of large bed volumes of synthetic and actual wastewater.
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)