Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Taiyi Zheng"'
1
Akademický článek
The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
Autor: Zhongkun Niu, Zhengming Yang, Yutian Luo, Yapu Zhang, Debin Xia, Taiyi Zheng, Xinli Zhao
Publikováno v: Geofluids, Vol 2022 (2022)
REV-scale LBM (representative elementary volume scale lattice Boltzmann method) provides a possible way for the unified microscopic simulation of transscale seepage combined with pore-scale LBM. However, shown by numerical results, when simulated flu
Externí odkaz: https://doaj.org/article/f1b9ffe130044200a68e6bd50e710ad9
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2
Akademický článek
A Review of Research on Cavity Growth in the Context of Underground Coal Gasification
Autor: Huijun Fang, Yuewu Liu, Tengze Ge, Taiyi Zheng, Yueyu Yu, Danlu Liu, Jiuge Ding, Longlong Li
Publikováno v: Energies, Vol 15, Iss 23, p 9252 (2022)
Underground Coal Gasification (UCG) is a leading-edge technology for clean and effective utilization of coal resources, especially for deep coal seams with a depth of more than 1000 m. Since the core operation place of UCG is the cavity, mastering th
Externí odkaz: https://doaj.org/article/f45d7aa09723487294a5fd8d1bf36708
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3
Akademický článek
Optimal Allocation of Thermal-Electric Decoupling Systems Based on the National Economy by an Improved Conjugate Gradient Method
Autor: Shuang Rong, Weixing Li, Zhimin Li, Yong Sun, Taiyi Zheng
Publikováno v: Energies, Vol 9, Iss 1, p 17 (2015)
Aiming to relieve the large amount of wind power curtailment during the heating period in the North China region, a thermal-electric decoupling (TED) approach is proposed to both bring down the constraint of forced power output of combined heat and p
Externí odkaz: https://doaj.org/article/005c10aa6b54497f9afc73d6d14e157f
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4
An intelligent approach for reservoir quality evaluation in tight sandstone reservoir using gradient boosting decision tree algorithm
Autor: Longfei Ma, Hanmin Xiao, Jingwei Tao, Taiyi Zheng, Haiqin Zhang
Publikováno v: Open Geosciences. 14:629-645
This article focuses on the study of identifying the quality of tight sandstone reservoirs based on machine learning. The machine learning method – Gradient Boosting Decision Tree (GBDT) algorithm is used to design and classify reservoir quality. F
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dfe5b0e579848657415423ea6409f351
https://doi.org/10.1515/geo-2022-0354
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6
Understanding Immiscible Natural Gas Huff-N-Puff Seepage Mechanism in Porous Media: A Case Study of CH4 Huff-N-Puff by Laboratory Numerical Simulations in Chang-7 Tight Core
Autor: Taiyi Zheng, Xinli Zhao, Zhengming Yang, Yapu Zhang, Luo Yutian, Xiangui Liu, Qianhua Xiao
Publikováno v: Natural Resources Research. 30:2397-2411
In view of the difficult problems encountered in the development of tight oil reservoirs, using natural gas as an energy supplementary agent and adopting Huff-N-Puff (HNP) production methods have shown great application potential in the development o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a675aca8f5eaa8e21589bf4458ff8231
https://doi.org/10.1007/s11053-021-09836-2
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8
The Effects of Gas Mixture Composition on the Mass Transfer and Individual Diffusion Coefficient in CH4-CO2-Light Oil Systems
Autor: Taiyi Zheng, Xiangui Liu, Yongcheng Luo, Yapu Zhang, Luo Yutian, Yang Zhengming, Yu Shi
Publikováno v: Volume 10: Petroleum Technology.
Limited CO2 resources considerably narrow down the field application of CO2 EOR for improving oil recovery in tight formation. Considering that CH4 and CO2 have similar EOR mechanisms, CH4, as a by-product of produced oil, is a relatively cost-effici
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc7dc1fde24c078977a609eae0767c68
https://doi.org/10.1115/omae2021-62827
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9
Identification of Seepage Mechanisms for Natural Gas Huff-n-Puff and Flooding Processes in Hydrophilic Reservoirs With Low and Ultra-Low Permeabilities
Autor: Ying He, Yapu Zhang, Qianhua Xiao, Taiyi Zheng, Xiangui Liu, Luo Yutian, Zhengming Yang, Xinli Zhao
Publikováno v: Journal of Energy Resources Technology. 143
Hydrocarbon gas flooding/Huff-n-Puff (HNP) can improve the oil recovery in the unconventional reservoirs. Here, the mechanisms accounting for fluid flow in the low-permeability and ultra-low permeability reservoirs were experimentally and theoretical
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3135baa3e5aba6d7859031543282ba2f
https://doi.org/10.1115/1.4048526
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10
Identification of distinctions of immiscible CO2 huff and puff performance in Chang-7 tight sandstone oil reservoir by applying NMR, microscope and reservoir simulation
Autor: Xiangui Liu, Debin Xia, Xinli Zhao, Haiqin Zhang, Yongcheng Luo, Zhenkai Wu, Taiyi Zheng, Hanmin Xiao
Publikováno v: Journal of Petroleum Science and Engineering. 209:109719
CO2 huff and puff (HNP) is one of the most effective methods to improve tight oil recovery after the primary depletion process. The seepage mechanisms between CO2 and crude oil are complicated in porous media during CO2 HNP process. Therefore, in thi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5aacddb0b02451422cb3ad5d6f9ad1b9
https://doi.org/10.1016/j.petrol.2021.109719
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