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
Engineering, Chemical
Ayomikun Bello, Desmond Batsa Dorhjie, Anastasia Ivanova, Alexey Cheremisin
Summary: This study investigates the mineralization trapping mechanisms of CO2 in deep saline aquifers through simulation, examining the effects of injection period, pressure, temperature, and salinity. The research reveals that longer injection periods enhance the efficiency of CO2 mineralization trapping, while different minerals have specific temperature preferences for mineralization. The study contributes to the understanding of CO2 storage in deep saline aquifers and provides insights for optimizing CO2 mineralization processes.
CHEMICAL ENGINEERING SCIENCE
(2024)
Article
Energy & Fuels
Grant Charles Mwakipunda, Mbega Ramadhani Ngata, Melckzedeck Michael Mgimba, Long Yu
Summary: This study evaluates and predicts the capacities of different carbon dioxide storage trapping mechanisms in deep saline aquifers. The results show that residual trapping and solubility trapping mechanisms are the most important and can be enhanced by adjusting the injection rate and bottom hole pressure. The effects of parameters such as salinity and vertical-to-horizontal permeability ratio on trapping mechanisms are also analyzed.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2023)
Article
Energy & Fuels
Yong Yuan, Jianqiang Wang, Jianwen Chen, Ke Cao, Jie Liang, Tianyu Lan, Dongyu Lu, Xudong Guo
Summary: Underwater reservoirs in the South Yellow Sea Basin (SYSB), China, provide favorable geological conditions for carbon dioxide (CO2) storage, as determined by the USDOE calculation method and a formation volume model. The Cenozoic saline aquifers in the SYSB have a significant storage capacity of CO2, ranging from 39.59 Gt to 426.94 Gt, which can meet the carbon sequestration needs of Shandong and Jiangsu Provinces for approximately 89 years.
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
Thermodynamics
Kai Zhang, Hon Chung Lau
Summary: The study investigates the feasibility of storing CO2 inside hydrate stability zone (HSZ) through reservoir pressure management via water producers and CO2 injectors. Results show that by controlling reservoir pressure, CO2 can be stored in HSZ with the formation of CO2 hydrate delaying CO2 breakthrough and limiting gas leakage. The research highlights the potential of storing CO2 in aquifers with a HSZ, with implications for CO2 geological storage.
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
Energy & Fuels
Haiyang Zhang, Mohammed Al Kobaisi, Muhammad Arif
Summary: Rock wettability plays a crucial role in the fate of injected CO2, affecting trapping capacity and containment security. Field-scale numerical simulations reveal that wettability and injection rate strongly influence CO2 migration and storage efficiency. Water-wet sandstone exhibits 42% higher residual trapping compared to CO2-wet sandstone, and longer injection durations decrease residual trapping while increasing solubility trapping.
Article
Environmental Sciences
Mohammed A. A. Al-qaness, Ahmed A. Ewees, Hung Vo Thanh, Ayman Mutahar AlRassas, Abdelghani Dahou, Mohamed Abd Elaziz
Summary: Decreasing fossil fuel utilization and anthropogenic greenhouse gases is a global goal to combat climate change and air pollution. Underground carbon storage (UCS) is a promising solution, but there are barriers to its global application. In this study, a hybrid algorithm called AOSMA was developed using swarm intelligence to enhance the prediction capability of the LSTM model. Evaluation experiments showed that AOSMA outperformed other algorithms in predicting CO2 storage efficiencies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Majid Safaei-Farouji, Hung Vo Thanh, Zhenxue Dai, Abolfazl Mehbodniya, Mohammad Rahimi, Umar Ashraf, Ahmed E. Radwan
Summary: This study compares different machine learning models to improve the prediction of carbon storage performance in saline aquifers. The random forest (RF) model performs the best and can effectively evaluate the carbon trapping effectiveness. Sensitivity analysis identifies depth and post injection time as the most influential factors on residual and solubility trapping performance.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Chemistry, Multidisciplinary
Changhyup Park, Jaehwan Oh, Suryeom Jo, Ilsik Jang, Kun Sang Lee
Summary: This study proposes a Pareto-based multi-objective optimization for operating CO2 sequestration with a multi-well system under geological uncertainty. The influence of geological uncertainty on CO2 sequestration is evaluated through a sensitivity analysis, showing the significant impact of spatial properties on trapping volume. Results discuss the effects of spatial heterogeneity on achieving CO2 geological storage and provide an operation strategy including multi-objective optimization.
APPLIED SCIENCES-BASEL
(2021)
Article
Multidisciplinary Sciences
Mouadh Addassi, Abdirizak Omar, Hussein Hoteit, Abdulkader M. Afifi, Serguey Arkadakskiy, Zeyad T. Ahmed, Noushad Kunnummal, Sigurdur R. Gislason, Eric H. Oelkers
Summary: To attenuate global warming, it is necessary to accelerate carbon capture and storage projects. This study evaluated the feasibility and limitations of injecting water-dissolved CO2 for subsurface solubility storage. The results suggest that unconfined aquifers could be a potential host for substantial subsurface CO2 storage.
SCIENTIFIC REPORTS
(2022)
Article
Energy & Fuels
Hao Chen, Haizeng Yu, Bing Zhou, Rui Wang, Quanqi Dai, Xinyu Qi, Lantewa Aliyu Lawan, Zafarullah Abro
Summary: Solubility trapping is an important method for storing CO2 in geological sequestration, and its efficiency is influenced by factors like temperature, pressure, and salinity. However, the dynamic dissolution process under actual reservoir conditions is less studied compared to the solubility of single mineral solutions. This study conducted static and dynamic solubility experiments under reservoir conditions using improved experimental methods. The results clarified the dynamic change rule and reason for CO2 solubility through pore permeability measurements and scanning electron microscopy. The study found that temperature has the highest sensitivity to solubility, followed by pressure, while salinity has minimal impact. The solubility of CO2 under reservoir conditions undergoes a dynamic process of decreasing, then increasing, and finally balancing, reaching the lowest point at around 15 days and eventually becoming saturated after 30 days. The equilibrium solubility is about 5% lower than the static solubility value due to the dynamic competition between mineral dissolution and precipitation, as well as the role of chemical retention and residual capture.
Article
Environmental Sciences
Qianyi Gu, Yang Han, Yaping Xu, Huitian Ge, Xiaojie Li
Summary: Soil salinization is a major environmental problem affecting food security. This study demonstrates that deep learning methods can effectively extract and map the spatial distribution of saline land using remote sensing images. The addition of specific salinity indices improves the classification accuracy. Case studies conducted in Northeast China confirm the feasibility of the proposed method and highlight its significance for salinity modeling and agricultural land management practices.
Article
Energy & Fuels
Auby Baban, Alireza Keshavarz, Robert Amin, Stefan Iglauer
Summary: Oil reservoirs with hydrophobic surfaces have a significant impact on flow functions at the macro-scale. However, quantitative measurement of CO2 in oil-wet formations remains challenging due to inconsistent experimental data and uncertainties in predicting wettability. In this study, NMR technology was used to measure and analyze the wettability indices in an oil-wet San Saba, providing comprehensive data on the effect of pore-scale properties on flow functions. These findings contribute to the implementation of carbon capture and storage (CCS) and enhanced oil recovery (EOR) projects in oil-wet reservoirs.
