Article
Energy & Fuels
Yuejian Lu, Dameng Liu, Yidong Cai, Qian Li, Yingfang Zhou
Summary: Capillary forces play a crucial role in the gas/fluid behavior and fluid distribution in porous media, particularly in evaluating the pore-fracture characteristics of coal. Different stages of spontaneous imbibition process can reveal the fluid flow characteristics, while a low flow-back rate of fracturing fluid may lead to severe permeability damage in coal. The gas relative permeability of coal attenuates exponentially with imbibition time, showing the influence of capillary force based on fractal theory.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Yubing Liu, Maxim Lebedev, Yihuai Zhang, Enyuan Wang, Wenpu Li, Jiabin Liang, Runhua Feng, Rupeng Ma
Summary: Cleat and permeability in coal play a crucial role in enhanced coalbed methane production and CO2 geo-sequestration. This study used a novel in situ micro-CT core flooding apparatus to observe the closure of micro-cleats in small anthracite coal at different CO2 injection pressures. The results showed that the mean aperture size of the micro-cleat increased and then decreased with increasing injection pressures, with a higher rebound in mean aperture size parallel to cleat directions. The permeability decreased drastically initially and then slowly with an increase in saturation time.
NATURAL RESOURCES RESEARCH
(2022)
Article
Energy & Fuels
Yanchi Liu, Baiquan Lin, Ting Liu, Tong Liu, Jiayun Yang
Summary: Based on experiments and CT image reconstruction, this study developed a micro heat transfer model to investigate the interaction between coal temperature rise-induced fracturing and heat transfer performance. The research provides new insights for efficient heat injection and mining in coal seams.
Article
Chemistry, Physical
Huiwei Zhu, Huaming Dai, Ziwei Song, Xinyi Wang, Zhiqiang Wang, Hongchao Dai, Song He
Summary: This study investigates coal mine methane combustion in the porous media burner of boiler system to produce hydrogen and heat, finding that the 10-6-10 mm cylinder burner shows optimal reforming efficiency. Through adjustments in hollow cylinder size and pore numbers, the research aims to enhance hydrogen production for solid oxide fuel cell applications.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
Shuai Yan, Xuan Qu, Zihong Xia, Caixia Chen, Jicheng Bi
Summary: The study found that the carbon structure and sulfur content in coal are key factors affecting hydrogasification reactivity. Experimental results showed that the mechanically mixed CaO/CaCO3 enhanced the activity of Co towards graphite carbon and captured sulfur adsorbed on Co surface.
Article
Energy & Fuels
Priyanka Jha, Sujit Ghosh, Ambarish S. Vidyarthi, Joginder Singh, Kunal Mukhopadhyay, Ram Prasad
Summary: This study analyzed the microbial diversity in Indian coal bed methane reserves, identifying bacterial communities involved in aromatic hydrocarbon degradation and potential methane-producing archaea under mesophilic conditions. The findings suggest that a bacterial to methanogenic inoculum ratio of 1:2 can enhance methane production significantly.
Article
Energy & Fuels
Shuai Yan, Xuan Qu, Zihong Xia, Caixia Chen, Jicheng Bi
Summary: The experimental results demonstrate that calcium as an additive has a promoting effect on cobalt, and temperature and hydrogen pressure have significant impacts on the formation of products in the catalytic hydrogasification process. A two-stage reactor scheme was proposed, successfully achieving staged hydrogenation of coal.
Article
Materials Science, Multidisciplinary
Hongying Zhu, Likun Xue, Fenna Zhang, Yaoguang Qi, Junwei Zhao, Dehua Feng
Summary: In this study, the process of jet erosion of deposited pulverized coal particles in the bottom of a coalbed methane (CBM) well was simulated and analyzed using numerical methods. The depth and width of the stable erosion pit were determined, providing a theoretical basis for the cleanout of pulverized coal. The results showed that the nozzle outlet flow velocity had the strongest influence on the depth of the erosion pit. The depth and width of the jet impact pit exhibited a certain trend over time.
Article
Chemistry, Multidisciplinary
Shao-Min Wang, Mohana Shivanna, Qing-Yuan Yang
Summary: By regulating the pore size and pore chemistry, we have successfully separated CH4 from N-2. Among them, Ni(ina)(2) exhibits the highest reported CH4/N-2 selectivity and excellent CH4 uptake. Experimental results confirm the outstanding separation performance of Ni(ina)(2), and theoretical calculations and structure analysis provide insights into the adsorption/separation mechanism.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Energy & Fuels
Lemei Zhang, Xiaoyang Guo, Yijia Liu, Cunbao Deng, Liuni Song, Quanjiang Zhou, Junjie Shi, Yonglu Zhou
Summary: This paper proposes a water-based ultrasonic cavitation-enhanced coalbed methane recovery (WUC-ECBM) technology, which can break through the water lock effect in coal pores and accelerate the pore water lock relief process through the generation of micro-jets, high temperature, and high pressure. The research results contribute to the green, efficient, and intelligent development of coalbed methane in harsh geological environments.
Article
Engineering, Chemical
Jian Chen, Liwen Guo, Jiayong Zhang
Summary: The study measured shock parameters and analyzed particle size ratio of coal-water medium to understand the shock effect and variation law of micro soft abrasive coal-water jet. APMACJ technology had higher maximum shock pressure than pure water jet, and the coal-water jet had better visibility.
Article
Energy & Fuels
Wei Liu, Dongyang Han, Gang Wang, Xiangyu Chu
Summary: CT scanning is an essential tool for evaluating coal microstructure, providing non-destructive quantization and visualization. By analyzing the representative elementary volume (REV) of coal samples, a relationship between model sizes and pore structure properties has been established. The comprehensive evaluation of REV improves the rationality and reliability of coal microstructure reconstruction.
Article
Energy & Fuels
Subhashini Nainar, Suresh Kumar Govindarajan
Summary: This study examines the influence of cleat permeability and porosity on cumulative gas production. It also investigates the optimal parameters for creating fractures in the least amount of time and with the minimum required pressure. The results show that cleat permeability has a greater impact on gas production than porosity. Additionally, the study proposes a novel approach to assess the economic feasibility of fracturing a reservoir based on its length.
PETROLEUM SCIENCE AND TECHNOLOGY
(2022)
Article
Energy & Fuels
Biying Chen, Finlay M. Stuart, Sheng Xu, Domokos Gyore, Congqiang Liu
Summary: This study investigates the origin and characteristics of coalbed methane in the Liupanshui Coalfield in southern China, finding that the methane is mainly thermogenic in origin and the noble gases in the coalbed methane are related to coal maturity, with the loss of some light noble gases after basin exhumation.
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Zehua Li, Renjie Zou, Yang Xu, Liang Cao, Guangqian Luo, Hong Yao
Summary: The study utilized a self-designed micro fluidized bed reactor and an online char particle sampling system to investigate the kinetics of coal char combustion and gasification. It was found that the reactivity of sampled char in oxy-fuel combustion followed a specific trend with sampling time, while the gasification reactivity increased gradually with sampling time.
Article
Computer Science, Interdisciplinary Applications
Tsimur Davydzenka, Pejman Tahmasebi, Mark Carroll
Summary: In many industries and applications, obtaining and classifying remote sensing imagery is crucial. This study explores a solution of using a stochastic method to generate variations of training images, thereby improving the accuracy of machine learning classification. By increasing the training set with additional realizations, consistent improvements in classification accuracy can be achieved, providing an opportunity to enhance prediction accuracy when sufficient data is not available.
COMPUTERS & GEOSCIENCES
(2022)
Article
Entomology
Travers M. Sansom, Sebastian Oberst, Adrian Richter, Joseph C. S. Lai, Mohammad Saadatfar, Manuela Nowotny, Theodore A. Evans
Summary: Termites rely on their subgenual organs (SGOs) in their legs to sense tiny vibrations. However, little is known about the structure and properties of these SGOs. This study used high-resolution micro-computed tomography (mu CT) and staining techniques to examine the SGOs of Australian termites. The results provide insights into the morphology and coverage of the SGOs, highlighting their potential role in amplifying vibrations.
ARTHROPOD STRUCTURE & DEVELOPMENT
(2022)
Article
Geochemistry & Geophysics
Xiaojun Chen, Luong Duy Thanh, Chengfei Luo, Pejman Tahmasebi, Jianchao Cai
Summary: The relationship between electrical conduction and pore structure in reservoir rocks was analyzed through theoretical development, petrophysical experiments, error analysis, core-scale displacement experiments, and pore-scale numerical simulations. The electric formation factor was found to be a function of porosity, tortuosity fractal dimension, and pore fractal dimension. The model provided satisfactory predictions for reservoir rocks when the ratio of minimum to maximum pore radius was suitable. Porosity-based formation factor models had high errors at high formation factors, but our model improved predictions with an error factor of +/- 10. Hydraulic and electrical conductions showed different dependencies on pore structure, with hydraulic conductance being influenced by pore size, dominant flow channels, and threshold pressure, while electrical conduction had no dominant channel and did not reflect pore size information at the same porosity.
Article
Green & Sustainable Science & Technology
A. L. Herring, C. Sun, R. T. Armstrong, M. Saadatfar
Summary: Residual trapping is essential for the security and sustainability of geologic sequestration operations. Recent experiments indicate that cycles of scCO2 and brine injections can cause surface chemistry reactions, enhancing residual trapping. This study uses X-ray microcomputed tomography to investigate the alteration mechanism and provides new insights into the conditions under which wettability alteration affects scCO2 flow and trapping.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2023)
Article
Engineering, Civil
Xiaojun Chen, Xiaobo Zhao, Pejman Tahmasebi, Chengfei Luo, Jianchao Cai
Summary: A data-driven model based on nuclear magnetic resonance (NMR) was developed to predict matrix permeability using nine machine learning models. The type of input data had a strong influence on the machine learning modeling. By using cumulative T2 relaxation data instead of the original T2 data, the gradient boosting decision tree model tuned by GridsearchCV showed a stronger agreement between experimental results and NMR estimates of matrix permeability. The correlation coefficient reached 0.92 with the lowest MSE of 0.12. Evaluation: 9 out of 10.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Tao Bai, Pejman Tahmasebi
Summary: In this study, a graph neural network (GNN) is used for accurate prediction of groundwater dynamics. The model incorporates spatial relationships between wells using graph convolution layers and temporal features using gated temporal convolutional networks. The proposed model outperforms two baseline models in terms of evaluation metrics, even when the spatial dependencies are unknown.
JOURNAL OF HYDROLOGY
(2023)
Article
Chemistry, Physical
F. M. Schaller, H. Punzmann, G. E. Schroeder-Turk, M. Saadatfar
Summary: This paper explains the observations of a study on the X-ray computed tomography of granular ellipsoidal packings using a fundamental theoretical relationship for mixture distributions. The main finding is that the bi-disperse ellipsoidal packings studied can be interpreted as a mixture of two uncorrelated mono-disperse packings, insensitive to the compaction protocol.
Article
Engineering, Chemical
Mehryar Amir Hosseini, Serveh Kamrava, Muhammad Sahimi, Pejman Tahmasebi
Summary: The wettability of porous media significantly impacts the spatial distribution of fluid phases. Computer simulations show that contact angle affects particle dynamics, fluid velocity, and rupture in the pore space. Additionally, increasing contact angle reduces inter-particle interactions and increases drag force, leading to larger particle displacement.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Mechanics
Xiaoming Zhang, Pejman Tahmasebi
Summary: In this study, the DKT process of irregular particles was investigated numerically, and it was found that the particle shape plays an important role. Particles with low sphericity are more sensitive to orientation, and lower roundness accelerates the separation of particle pairs. The vertical velocity decreases when roundness or sphericity is smaller.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
(2023)
Article
Computer Science, Interdisciplinary Applications
Mehryar Amir Hosseini, Pejman Tahmasebi
Summary: This paper investigates the influence of particle morphology on granular collapse behavior and wave generation in multiphase fluid systems. The study establishes a clear relationship between particle morphology and important characteristics such as displacement, velocity, inter-particle forces, and kinetic energy. The findings demonstrate that as irregularity increases, interlocking between particles becomes more prominent, leading to reduced particle travel distances. Additionally, interlocking also influences particle-fluid interactions, resulting in significant alterations in the formation of generated waves.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Geochemistry & Geophysics
Sadegh Karimpouli, Danu Caus, Harsh Grover, Patricia Martinez-Garzon, Marco Bohnhoff, Gregory C. Beroza, Georg Dresen, Thomas Goebel, Tobias Weigel, Grzegorz Kwiatek
Summary: This study pioneers in time to failure (TTF) prediction based on machine learning using acoustic emission (AE) records from laboratory stick-slip experiments. The regression voting ensemble of Long-Short Term Memory (LSTM) networks predicts TTF with a coefficient of determination (R2) of 70% on the test dataset. Feature importance analysis reveals that AE rate, correlation integral, event proximity, and focal mechanism-based features are the most important features for TTF prediction.
EARTH AND PLANETARY SCIENCE LETTERS
(2023)
Article
Thermodynamics
Yuqi Wu, Pejman Tahmasebi, Keyu Liu, Chengyan Lin, Serveh Kamrava, Shengbiao Liu, Samuel Fagbemi, Chang Liu, Rukuai Chai, Senyou An
Summary: This study proposes a novel hybrid modeling approach integrating X-ray CT imaging technology, morphological operation algorithm, and quartet structure generation set method to investigate the dependence of the physical properties of hydrate-bearing sediments (HBS) on hydrate occurrence patterns and saturation levels. The findings suggest that different hydrate types have varying heterogeneity in the distribution of pore and throat radii.
Review
Energy & Fuels
Hossein Mirzaee, Serveh Kamrava, Pejman Tahmasebi
Summary: This article reviews the most promising studies in machine learning-assisted reconstruction of porous media, categorizing the approaches and discussing their characteristics, advantages, and disadvantages. It also provides information on various methods for evaluating algorithm performance. Furthermore, the article explores the current research status and challenges in ML-assisted porous media reconstruction in energy-related applications and suggests potential areas for future studies.
Review
Materials Science, Multidisciplinary
Pejman Tahmasebi
Summary: Modeling of heterogeneous materials and media plays a crucial role in various phenomena and systems, including condensed matter physics, soft materials, composite media, porous media, biological systems, geosystems, ceramic engineering, pharmaceutical science, and space discoveries. This review paper examines recent developments in experimental and computational methods, such as neutron and nanometer-scale tomography, magnetic resonance imaging, digital image correlation, and 4D techniques. It also explores the shift towards micro-scale and the development of multiscale approaches in modeling, as well as the exploration of coupled or multiphysics systems.
PROGRESS IN MATERIALS SCIENCE
(2023)
Article
Geochemistry & Geophysics
Sadegh Karimpouli, Rail Kadyrov, Mirko Siegert, Erik Hans Saenger
Summary: Digital rock physics involves imaging, segmentation, and numerical computations of rock samples. Traditional 2D algorithms face challenges in handling the third dimension of 3D samples. This study suggests generating 3D samples in different directions and utilizing averaging or binary combination strategies to improve the accuracy. Numerical computations of rock physical properties provide insights into the effectiveness of these models.
