科研成果

2024
Zhang C, Liu Y, Gu Z, Li P, Li Z, Zhang K. Chemicals-CO2 mechanisms of inhibiting steam heat transfer and enhancing oil film strip: Steam flow through the wall-adhering oil film surface in porous medium. Fuel [Internet]. 2024;356:129572. 访问链接Abstract
The CO2 and Sodium Dodecyl Sulfate (SDS) assisted steam flooding technology was an effective approach addressed the persistent issues that have hindered the stable development of high-viscosity cold oil through steam injection. However, in the process of steam flow through porous media, the synergistic influence of the oil film adsorbed in near wellbore porous media, and the CO2-SDS on steam heat transfer has not been investigated. Steam heat transfer is the key factors affecting heavy oil recovery. The primary objective of this study was to research the effect of CO2-SDS on steam heat transfer and oil film stripping by designing experiments. The study results demonstrated that in the initial stage of displacement, the heat transfer resistance between the steam and the porous medium was increased by the oil film adsorbed in near wellbore area. In additional, the condensation mode of the steam was altered from bead condensing to film condensing by the composite thermal fluid flooding, preventing the steam heat dissipation near wellbore area and transferring more thermal to the long-distance area. At the later stage of displacement, the interfacial tension between oil-water and oil-gas was reduced by CO2-SDS, improving the fluidity of oil and providing the seepage channel for steam, and increasing the steam thermal sweep range. Compared to the sandpack experiment of steam flooding, the temperature at the output end of the sandpack model increased from 69.8 °C to 88.7 °C, indicating an expansion of the steam heat sweep range and successful long-distance heat transfer during composite thermal fluid flooding. In the process of composite thermal fluid flooding, the maximum displacement pressure difference increased from 2.28 MPa to 3.07 MPa, and the maximum oil recovery rate increased from 2.48 g/mL to 2.81 g/mL. The peak of the high production period was raised, resulting in a 40.97% to 51.86% increase in recovery rates.
Ban J, Cheng J, Zhang C, Lu K, ZHOU Z, Liu Z, Chen Y, Wang C, Cai W, Gong P. China’s carbon-neutral policies will reduce short-term PM2. 5-associated excess incidence of cardiovascular diseases. One Earth. 2024;7:497-505.
Li C, Yu S, Shen J, Liang B, Fu X, Hua L, Hu H, Jiang P, Lei R, Guan Y. Clinical association between plan complexity and the local-recurrence-free-survival of non-small-cell lung cancer patients receiving stereotactic body radiation therapy. Physica Medica. 2024;122:103377.
Wang Z, Wang P, Li S, Cheng H, Zhang K. CO2 foam to enhance geological storage capacity in hydrocarbon reservoirs. Renewable and Sustainable Energy Reviews [Internet]. 2024;199(114504). 访问链接Abstract
Geological CO2 storage is an emerging topic in energy and environmental community, which is, as a commonly-accepted sense, considered a powerful approach to mitigate the global carbon emissions during the transition to net-zero. The geological media initially considered cover the saline aquifers, oil and gas reservoirs, coal beds, and potentially basalts. Up to now only the first two choices have been proven to be the most capable storage sites and successfully implemented at pilot/commercial scales. Here, novel strategies were proposed for the first time, by synthesizing and utilizing new high-dryness CO2 foam, to enhance geological CO2 storage capacity in oil and gas reservoirs. As a major storage site, the oil and gas reservoirs ranked only second to the saline aquifer, due to their huge underground spaces, and more importantly, spontaneous economic benefits by injecting CO2 for geological storage. However, at any development stage, particularly late stage with high water cut, CO2 injection usually tends to cause gas channeling and therefore result in low-efficient storage. In this paper, a series of dynamic evaluation experiments are carried out to investigate the effect of newly-synthesized high-dryness CO2 foam in oil and gas reservoirs. A comprehensive set of parameters, including the fluid production volume, rate, efficiency, pressure, porous media weight, water cut, mobility reduction factor, oil-gas-water ternary phase saturation, etc., are specifically analyzed. The lab results show that when the foam quality is 85 %, the oil recovery performance and gas phase saturation reach their highest values, of 82.68 % and 75.36 %, respectively; meanwhile, the water consumption is at the lowest level, 43.88 g/mol, for the CO2 storage in oil and gas reservoirs. This indicates the synthesized high-dryness CO2 foam, attributed to its superb stability, modifies the mobility ratio, suppresses the viscous fingering, and finally results in higher oil recovery and more CO2 storage. Similar work has been done for the reservoirs with permeabilities from high to low levels. The study provides experimental evidences that suggest benefits from applying CO2 flooding in oil and gas reservoirs.
Tang MX, He LY, Xia SY, Jiang Z, He DY, Guo S, Zhu R, Zeng H, Huang XF. Coarse particles compensate for missing daytime sources of nitrous acid and enhance atmospheric oxidation capacity in a coastal atmosphere. Science of the Total Environment. 2024;915.
Fu X, Cheng J, Peng L, Zhou M, Tong D, Mauzerall DL. Co-benefits of transport demand reductions from compact urban development in Chinese cities. Nature Sustainability. 2024;7:294-304.
Li W, Tang Z, Zhang P, Wang J. Collaborative Data Behaviors in Digital Humanities Research Teams, in ACM IEEE Joint Conference on Digital Libraries (JCDL 24). Hongkong, China; 2024.
Yang L, Xu C, Ma Xinyu, Gao Xin, Li Ruiqing, Yasha W. Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation, in In Findings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).; 2024.
Zhang Z, Jia X, Gongbu Z, He D, Li W. Common pool resource governance in strong-government context: A case study of caterpillar fungus (Ophiocordyceps sinensis) on the Qinghai-Tibet Plateau. Environmental Science and Policy [Internet]. 2024;152. 访问链接
Xu W, Luo J, Huang Q, HUANG R. Compact and Efficient CAM Architecture through Combinatorial Encoding and Self-Terminating Searching for In-Memory-Searching Accelerator. Proceedings of the 61st ACM/IEEE Design Automation Conference. 2024:1-6.
Xu W, Luo J, Huang Q, HUANG R. Compact and Efficient CAM Architecture through Combinatorial Encoding and Self-Terminating Searching for In-Memory-Searching Accelerator. Proceedings of the 61st ACM/IEEE Design Automation Conference. 2024:1-6.
Zhou Y, Shao H, Huang W, Zhu R, Zhang Y, HUANG R, Tang K. A Compact Writing Scheme for the Reliability Challenges in 1T Multi-level FeFET Array: Variation, Endurance and Write Disturb. IEEE Electron Device Letters. 2024:1-1.
Qiao R, Chen W, Shi Y, Chai Q, Fan Y, Hua Q, Li A, Li H, Li J, Meng X, et al. A Comparative Analysis on Indoor and Outdoor PM2.5 and Their Hourly Associations with Acute Respiratory Inflammation Among College Students in Lhasa. Environmental Science & Technology [Internet]. 2024;58:22668–22677. 访问链接
Jia. J., Zhang LYH. A Comparison of a Computerized Adaptive Test for Mathematics Instruction with the Classical Test. Int. J. Mobile Learning and Organisation. 2024;18(3):270-284.
Jia, J. WZWTYG. The Comparison of General Tips for Mathematical Problem Solving Generated by Generative AI with those Generated by Human Teachers. Asia Pacific Journal of Education. 2024;44(1):8-28.
Lang J, Xu F, Wang J, Zhang L, Sun Z, Zhang H, Guo X, Zhang Z, Ji C, Tan F, et al. The composited high reflectivity p-type electrodes with patterned ITO for AlGaN-based ultraviolet light emitting diodes. Applied Physics Letters. 2024;125:012107.
Gomaa A, Huang Y, Hagag A, Schmitter C, Höfler D, Weissmann T, Breininger K, Schmidt M, Stritzelberger J, Delev D, et al. Comprehensive multimodal deep learning survival prediction enabled by a transformer architecture: A multicenter study in glioblastoma. Neuro-Oncology Advances. 2024;6:vdae122.
Liu Z, Wu J, Ma T, An M, Ye T, Zhao X, Li M, Wang F, Yuan M, Hu D, et al. Concentration Characteristics and Emission Estimates of Major HCFCs and HFCs at Three Typical Fluorochemical Plants in China Based on a Gaussian Diffusion Model. Atmospheric Environment. 2024;334:120688.
Xu Z, others. Constraining ultralight dark matter through an accelerated resonant search. Commun. Phys. 2024;7:226.
Xu Z, others. Constraining ultralight dark matter through an accelerated resonant search. Commun. Phys. 2024;7:226.

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