Article
Water Resources
Milad Hosseini, Majid Siavashi, Milad Shirbani, Mohaddeseh Mousavi Nezhad
Summary: Simulation of flow at the pore scale is crucial for understanding fluid behavior in porous media. This study investigates the effect of the magic parameter on simulation results by considering errors in micro-CT images, and compares the results with the Navier-Stokes method. The study also presents a criterion for estimating the error amplitude of flow characteristics due to micro-CT imaging. The findings show that the magic parameter can accurately simulate complex geometries with minimal error.
ADVANCES IN WATER RESOURCES
(2023)
Article
Engineering, Marine
Gang Lei, Tianle Liu, Qinzhuo Liao, Xupeng He, George Kontakiotis
Summary: Digital rock physics (DRP) has proven to be a valuable tool for estimating permeability of porous media. However, current implementations require time-consuming reconstruction of 3D pore networks, presenting challenges in terms of memory usage and uncertainties. To address this, a novel approach that combines the Kozeny-Carman equation with fractal theory was developed in this study. The approach links 2D cross-sectional images and 3D pore structures without the need for 3D reconstruction, providing reliable estimations of sample permeability. This approach simplifies permeability determination in heterogeneous porous media and enhances our understanding of flow in reservoirs during unconventional oil and gas extraction.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Senyou An, Muhammad Sahimi, Vahid Niasar
Summary: Hydrodynamic dispersion in flow through porous media is an essential phenomenon in many geosystems. However, limited studies have focused on dispersion in flow of non-Newtonian fluids. This study used pore-scale simulations to investigate the effects of rheology and flow dynamics on hydrodynamic dispersion. Surprisingly, the simulations revealed a non-monotonic relationship between injection rate and dispersivity, highlighting the need for improved theories of transport in porous materials for non-Newtonian fluids.
WATER RESOURCES RESEARCH
(2022)
Article
Energy & Fuels
Waldir L. Roque, Edvaldo F. M. Neto, Jose V. P. Cruz Junior
Summary: The study introduces a technique for identifying the predominant pore direction in porous media, with application tests on different samples to enhance understanding of directional fluid flow and mechanical stress in porous media.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Engineering, Chemical
Timo Koch, Kilian Weishaupt, Johannes Mueller, Bernhard Weigand, Rainer Helmig
Summary: The dual network model simulates coupled heat and mass transfer in porous media, allowing for scenarios with heterogeneous temperature distributions and capturing local thermal nonequilibrium effects. It is applicable to various scenarios and reproduces effective thermal conductivities over a wide range of fluid to solid thermal conductivity ratios.
TRANSPORT IN POROUS MEDIA
(2021)
Article
Mathematics
Vladimir A. Shargatov, George G. Tsypkin, Sergey Gorkunov, Polina Kozhurina, Yulia A. Bogdanova
Summary: This study investigates the hydrodynamic stability of liquid displacement by gas in a porous medium, with a focus on the case where a light gas is located above the liquid. The onset of instability and the evolution of shortwave perturbations are analyzed through numerical simulation and a network model. The results demonstrate the anomalous growth of shortwave perturbations, with a reduced growth rate compared to linear analysis.
Article
Engineering, Chemical
Zhipeng Xu, Mian Lin, Wenbin Jiang, Leige Xu, Lili Ji, Gaohui Cao, Wei Hao
Summary: A pore-morphology-based method is developed to simulate mercury injection and gas pore condensation in CT images for pore structure characterization. The algorithm utilizes morphological operations and invasion phase connectivity analysis to accurately capture pore geometry and topology. It is user-friendly and can be applied to 2D and 3D images with improved computational speed and characterization accuracy.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Thermodynamics
Libin Tan, Yuejin Yuan, Zhe Zhao, Yingying Xu, Yueding Yuan
Summary: Drying shrinkage is a complex process influenced by the micro-pore structure of high-moisture porous media. This study established a pore-scale model and conducted pore network simulations to analyze the effects of micro-pore structure characteristics on heat-moisture and stress-strain distributions during drying. The simulation results showed good agreement with experimental measurements and revealed the phenomena of dry spots, wet spots, irregular drying front, and asymmetric shrinkage. Capillary stress was identified as a key factor affecting drying shrinkage.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Water Resources
Nicolas Bueno, Luis Ayala, Yashar Mehmani
Summary: This study investigates the ripening process of bubbles comprised of multiple components using a pore-network model and proposes a theory to predict the probability density function (PDF) of bubble sizes. The research findings reveal that multi-component ripening occurs in two stages - partitioning and coevolution.
ADVANCES IN WATER RESOURCES
(2023)
Article
Environmental Sciences
Rui Wang, Maziar Arshadi, Ahmed Zankoor, Mohammad Piri
Summary: Pore space deformation can significantly affect the behavior of multiphase flow through porous media, leading to changes in permeability, relative permeability, and fluid distributions. However, the mechanisms relating pore-level fluid displacements with pore space deformation are not well understood. In this study, we conducted two-phase flow experiments on a water-wet sandpack under different stress conditions while imaging the pore space and fluid configurations. The results showed that pore space contraction influenced the frequency of different fluid displacement mechanisms and also affected the saturation and distribution of the fluids. The study also revealed that wetting and non-wetting phases responded differently to pore space deformation, resulting in changes in relative permeabilities.
WATER RESOURCES RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Yashar Mehmani, Ke Xu
Summary: This article investigates the Ostwald ripening of trapped bubbles in porous media, which is relevant to subsurface and manufacturing applications. Through simulations and theoretical analysis, the article reveals the evolution process of the bubble size distribution from initially non-uniform to stable equilibrium, and finds that the equilibration of bubbles in heterogeneous porous media is slower than in homogeneous media.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Engineering, Chemical
Jianlin Zhao, Feifei Qin, Qinjun Kang, Dominique Derome, Jan Carmeliet
Summary: In this work, a hybrid method coupling a pseudo-potential lattice Boltzmann model (LBM) and a pore network model (PNM) is proposed to simulate drying in porous media. By subdividing the porous medium into pore regions and using different models for different types of pores, the hybrid method combines the accuracy of LBM and the efficiency of PNM, leading to significant reduction of computation time in larger porous systems.
Article
Chemistry, Applied
Nilly Hojat, Piergiorgio Gentile, Ana M. Ferreira, Lidija Siller
Summary: This study presents a novel image processing method for measuring the pore size distribution of porous scaffolds, independent of their complexity. The algorithm uses thresholding based on histogram analysis and morphological filters for pore segmentation, resulting in robust detection and measurement of pore sizes and distribution.
JOURNAL OF POROUS MATERIALS
(2023)
Article
Physics, Fluids & Plasmas
Aleksei Samarin, Vasily Postnicov, Marina V. Karsanina, Efim V. Lavrukhin, Dina Gafurova, Nikolay M. Evstigneev, Aleksey Khlyupin, Kirill M. Gerke
Summary: Correlation functions (CFs) are structural descriptors and surface-surface (Fss) CFs and surface-void (Fsv) CFs provide additional information about the interface between phases. A method to compute these functions using edge-detecting filters in digital images is proposed. The developed digital approach allows for the analysis and enhancement of porous materials based on experimental images.
Article
Mathematics, Interdisciplinary Applications
Wenhui Song, Jun Yao, Kai Zhang, Yongfei Yang, Hai Sun
Summary: We proposed the concept of throat fractal dimension and applied it to predict permeability in porous media. Fractal dimensions based on total pore space, pore system, and throat system were calculated using the 3D box-counting method. Comparing the permeabilities estimated by different fractal parameters, we found that the proposed throat system fractal parameter can more accurately predict fluid transport properties.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Engineering, Environmental
Wenbin Jiang, Gaohui Cao, Chao Luo, Mian Lin, Lili Ji, Ji Zhou
Summary: The study investigated the relationship between the composition of Wufeng-Longmaxi Formation shale samples in Sichuan Basin and methane adsorption characteristics, establishing a composition-based methane adsorption model. Differences in clay contribution to methane adsorption for different sublayers were revealed, aiding in improving the accuracy of shale reservoir evaluation.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Energy & Fuels
Lili Ji, Mian Lin, Wenbin Jiang, Gaohui Cao, Zhipeng Xu, Fang Hao
Summary: This paper introduces a new rock typing method that combines Darcy index, gas non-Darcy index, and liquid non-Darcy index to describe the non-linear flow characteristics in tight sandstone. The weighted fuzzy kNN algorithm is then applied to improve the accuracy of rock typing. Through testing on a dataset and validation using mercury injection capillary pressure curves, the proposed new rock typing indexes and algorithm are proven to be effective in typing tight sandstone and play a significant role in permeability prediction, reservoir modeling, and simulation.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Siping Zheng, Mian Lin, Wenbin Jiang, Jing Zhao, Xin Qiu, Zhuo Chen
Summary: This study establishes conceptual models by discrete element method for investigating the influence of native microdefects on secondary microcracks growth in rocks, and explores the effects of micropores and microfractures on the crack growth. The results reveal that the clustering trend of SMC becomes more significant with increasing microdefect densities, and different types of microdefects play different roles in SMC growth.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Siping Zheng, Mian Lin, Wenbin Jiang, Xin Qiu, Zhuo Chen
Summary: Hydraulic fracturing is crucial in the development of unconventional tight reservoirs in the oil and gas industry. However, current laboratory experiments are unable to achieve high-resolution in situ observation and analysis. This study developed an online scanning platform to overcome this limitation and conducted hydraulic fracturing experiments on tight sandstone samples.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Thermodynamics
Zhaobin Zhang, Tao Xu, Shouding Li, Xiao Li, Maryelin Josefina Briceno Montilla, Cheng Lu
Summary: A heat flow coupling algorithm was established for methane hydrate dissociation in porous media, and a core-scale dissociation model was verified against laboratory experiments. The evolutions of key characteristics were analyzed, and the effects of heat conductivity and permeability on dissociation characteristics and gas production rate were studied. Three different modes were identified based on heat conductivity and permeability, with each mode having distinct effects and dissociation front expanding characteristics. This analysis enhances understanding of the hydrate dissociation process.
Article
Water Resources
Zhipeng Xu, Mian Lin, Lili Ji, Wenbin Jiang, Gaohui Cao, Leige Xu
Summary: This paper presents a novel method for modeling a multiscale pore-fracture hybrid pore network, which includes various void spaces at multiple length scales and the flow characteristics in them. The accuracy and efficiency of the model are validated through comparison with experimental data.
ADVANCES IN WATER RESOURCES
(2023)
Article
Engineering, Chemical
Zhipeng Xu, Mian Lin, Wenbin Jiang, Leige Xu, Lili Ji, Gaohui Cao, Wei Hao
Summary: A pore-morphology-based method is developed to simulate mercury injection and gas pore condensation in CT images for pore structure characterization. The algorithm utilizes morphological operations and invasion phase connectivity analysis to accurately capture pore geometry and topology. It is user-friendly and can be applied to 2D and 3D images with improved computational speed and characterization accuracy.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Energy & Fuels
Yuxuan Li, Zhaobin Zhang, Shouding Li, Xiao Li, Cheng Lu
Summary: According to recent research, depressurization is considered a cost-effective and mature choice for mining marine natural gas hydrate (NGH), and it is crucial to design the mining scheme based on gas production efficiency and subsidence. The production of NGH involves complex thermal-hydrodynamic-mechanical phenomena, and numerical simulation tools are necessary to evaluate the associated geomechanical responses.
Article
Energy & Fuels
Chongjun Zhao, Nan Sun, Mingkun Li, Wenlei Cai, Wenbin Jiang, Chunhua Zhao
Summary: Direct construction of a support-free carbon electrode, composed of 100% activated materials, was achieved using electrospinning and carbonization. The electrode exhibited improved flexibility due to the introduction of ductile Sn during the electrospinning process. The resulting carbon electrode consisted of one-dimensional nanosized carbon fibers (366 nm) and had a specific surface area of 1423.96 m2 g-1 after chemical activation. The electrode demonstrated excellent electrochemical supercapacitor performance both as a single electrode (specific capacitance of 342.05 F g-1 at 0.5 A g-1) and in a symmetrical supercapacitor configuration (energy density of 15.26 Wh kg-1 at 187.5 W kg-1 power density).
Article
Energy & Fuels
Chuanwen Sun, Shimin Liu, Shouding Li, Kai Wang, Yiming Sun, Xiao Li, Zhaobin Zhang
Summary: Nano-SiO2 particles can accelerate the formation of tetrahydrofuran hydrate and shorten the induction time, with an optimal mass concentration of 0.5 mg/mL.
Article
Energy & Fuels
Lili Ji, Fengyang Xu, Mian Lin, Wenbin Jiang, Gaohui Cao, Songtao Wu, Xiaohua Jiang
Summary: In this study, a physics-informed neural network model is proposed to predict the capillary pressure and relative permeability in tight sandstone. By integrating five physical models, an improved parallel genetic algorithm, and a neural network, this model accurately simulates the complex multiphase flow behavior. The results demonstrate that the predicted values from the physics-informed neural network are in good agreement with experimental data.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)