Qingbang Meng

Dr. Qingbang Meng

School of Earth Resources,China University of Geosciences, 388 Lumo Road, 430074 Wuhan, China

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 March 2022 in Membranes
Verified
Journal Article
Open access
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JLJie Liu
Jie Liu
Xiaoping XieXiaoping Xie
Xiaoping Xie
Qingbang MengQingbang Meng
Qingbang Meng
Shuyu SunShuyu Sun
Shuyu Sun
Membrane has been considered an effective tool for oil–water separation. By using the smoothed particle hydrodynamics (SPH) method, the effects of membrane structure on fluid separation were studied thoroughly in this paper. The oil–water two-phase fluid was generated as particles, while the membrane was built with solid particles, which was able to select the fluid particles. In general, the developed SPH method in this paper can evaluate separation performance with different membrane shapes, pore size distributions, membrane thickness and fluid properties. We suggest to the industry a potential approach to promote separation based on our simulation results, including adding the external force in the selected direction and demulsification for the bulk phase liquid particles. The triangular membrane performs well with the conditions for various parameters, as a result of its insensitivity to inhibiting factors. The effectiveness and robustness of the proposed SPH scheme was validated by a number of numerical experiments, and we assessed the optimized membrane structure and operation manners in order to improve separation efficiency and long-term safety.

27 March 2019 in Journal of Energy Resources Technology
Verified
Journal Article
Closed access
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Qingbang MengQingbang Meng
Qingbang Meng
SXSai Xu
Sai Xu
Jianchao CaiJianchao Cai
Jianchao Cai

20 July 2020 in Energies
Verified
Journal Article
Open access
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QZQi Zhang
Qi Zhang
SJShu Jiang
Shu Jiang
XWXinyue Wu
Xinyue Wu
YWYan Wang
Yan Wang
Qingbang MengQingbang Meng
Qingbang Meng
Given reliable parameters, a newly developed semianalytic model could offer an efficient option to predict the performance of the multi-fractured horizontal wells (MFHWs) in unconventional gas reservoirs. However, two major challenges come from the accurate description and significant parameters uncertainty of stimulated reservoir volume (SRV). The objective of this work is to develop and calibrate a semianalytic model using the ensemble smoother with multiple data assimilation (ES-MDA) method for the uncertainty reduction in the description and forecasting of MFHWs with nonuniform distribution of induced fractures. The fractal dimensions of induced-fracture spacing (dfs) and aperture (dfa) and tortuosity index of induced-fracture system (θ) are included based on fractal theory to describe the properties of SRV region. Additionally, for shale gas reservoirs, gas transport mechanisms, e.g., viscous flow with slippage, Knudsen diffusion, and surface diffusion, among multi-media including porous kerogen, inorganic matter, and fracture system are taken into account and the model is verified. Then, the effects of the fractal dimensions and tortuosity index of induced fractures on MFHWs performances are analyzed. What follows is employing the ES-MDA method with the presented model to reduce uncertainty in the forecasting of gas production rate for MFHWs in unconventional gas reservoirs using a synthetic case for the tight gas reservoir and a real field case for the shale gas reservoir. The results show that when the fractal dimensions of induced-fracture spacing and aperture is smaller than 2.0 or the tortuosity index of induced-fracture system is larger than 0, the permeability of induced-fracture system decreases with the increase of the distance from hydraulic fractures (HFs) in SRV region. The large dfs or small θ causes the small average permeability of the induced-fracture system, which results in large dimensionless pseudo-pressure and small dimensionless production rate. The matching results indicate that the proposed method could enrich the application of the semianalytic model in the practical field.

29 August 2022 in Energies
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Journal Article
Open access
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ZZZhenjie Zhang
Zhenjie Zhang
TZTianyi Zhao
Tianyi Zhao
Qingbang MengQingbang Meng
Qingbang Meng
The imbibition phenomenon widely exists in nature and industrial applications. It is of great significance to study the mechanism of imbibition and the influence laws of related factors. In this paper, based on the assumption of interacting capillaries, a capillary bundle model of counter-current imbibition is established. In addition, the characteristics of imbibition and the influences of capillary size and fluid viscosity are analyzed. The results show that water is imbibed into the smaller capillaries and expelled from the larger capillaries. The rate of the meniscus in water-imbibition capillaries is proportional to the square root of time. In the interacting capillaries, oil production by counter-current imbibition decreases and then increases gradually with the increase of the capillary diameter difference. When the total cross-sectional area of the capillary remains unchanged, the cross-sectional area of the total water-imbibition capillaries is affected by the size distribution of the capillaries. The larger the viscosity of the non-wetting phase, the more uneven the imbibition front, the lower the imbibition efficiency. The higher the viscosity of the wetting phase, the more uniform the imbibition front, and the higher the imbibition efficiency.

24 January 2023 in Frontiers in Earth Science
Verified
Journal Article
Open access
ZCZhilin Cheng
Zhilin Cheng
Qingbang MengQingbang Meng
Qingbang Meng
JZJianlin Zhao
Jianlin Zhao
HGHui Gao
Hui Gao
LDLiangbin Dou
Liangbin Dou
Editorial: Mechanisms and applications of chemical techniques for effective development of unconventional reservoirs