Ning Li

Dr. Ning Li


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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6 July 2021 in Rock Mechanics and Rock Engineering
Verified
Journal Article
Closed access
PDF file
NLNing Li
Ning Li
SZShicheng Zhang
Shicheng Zhang
HWHaibo Wang
Haibo Wang
SWShan Wu
Shan Wu
YZYushi Zou
Yushi Zou
TZTong Zhou
Tong Zhou

28 February 2026 in Processes
Verified
Journal Article
Open access
PDF file
SZSirong Zhu
Sirong Zhu
NLNing Li
Ning Li
ZHZhiwen Huang
Zhiwen Huang
MSMingze Sun
Mingze Sun
Jie ZengJie Zeng
Jie Zeng
Wenxi RenWenxi Ren
Wenxi Ren
Shale pore volume is a critical parameter for reservoir evaluation. Accurate and rapid determination of this parameter is essential for identifying sweet spots and performing reliable reserve estimations. Currently, laboratory experiments remain the standard for determining pore volume; however, these methods are typically time-consuming, costly, and labor-intensive. To complement traditional experimental approaches, we developed a Gaussian Process Regression (GPR) model to estimate shale pore volume based on mineralogical compositions. The model is specifically tailored for the Longmaxi shale, utilizing six input features: the contents of Total Organic Carbon (TOC), clay, quartz, feldspar, carbonate, and pyrite. The GPR model achieved a mean absolute percentage error (MAPE) of 9.97% on the testing dataset, while it yielded an MAPE of 17.66% when applied to an additional independent validation set. Finally, a sensitivity analysis using the Shapley additive explanations was conducted to elucidate the influence of mineralogical constituents on shale pore volume.

7 August 2026 in Processes
Verified
Journal Article
Open access
PDF file
SZSirong Zhu
Sirong Zhu
NLNing Li
Ning Li
ZHZhiwen Huang
Zhiwen Huang
KYKai Ye
Kai Ye
FHFangpeng He
Fangpeng He
Wenxi RenWenxi Ren
Wenxi Ren
Clay minerals are significant constituents of shale reservoirs, yet the confinement-induced phase behavior of hydrocarbons within clay nanopores has received comparatively less attention than in carbonaceous materials. In this study, Grand Canonical Monte Carlo (GCMC) simulations were performed to investigate the confinement-induced shifts in the critical properties of hydrocarbons within illite slit pores ranging from 2 to 20 nm. The simulation results indicate apparent reductions in both critical temperature (Tc) and critical pressure (Pc) under confined conditions. The relative shift in critical properties is more pronounced for n-pentane than for methane, which is attributed to the larger molecular size and complex chain-like structure of n-pentane compared to methane. The simulation results also show that the extent of these shifts varies among different pore geometries and materials due to the differences in fluid–solid interactions and specific surface areas. Illite exerts a weaker confinement effect than graphite, while cylindrical pores intensify the shift compared to slit pores. As the pore size increases from 2 to 20 nm, the nanoconfinement-induced shifts in the critical properties of alkanes in illite slit pores progressively diminish, and the critical properties approach their corresponding bulk values at a pore size of 20 nm. Finally, new correlations are proposed to quantify the critical property shifts in illite slit nanopores. Overall, this study provides a quantitative characterization of confinement-induced critical-property shifts for the investigated hydrocarbons in illite slit nanopores.