Due to the intricate structure of porous rocks, relationships between porosity or saturation and petrophysical transport properties classically used for reservoir evaluation and recovery strategies are either very complex or nonexistent. Thus, the pore network model extracted from the natural porous media is emphasized as a breakthrough to predict the fluid transport properties in the complex micro pore structure. This paper presents a modified method of extracting the equivalent pore network model from the three-dimensional micro computed tomography images based on the maximum ball algorithm. The partition of pore and throat are improved to avoid tremendous memory usage when extracting the equivalent pore network model. The porosity calculated by the extracted pore network model agrees well with the original sandstone sample. Instead of the Poiseuille's law used in the original work, the Lattice-Boltzmann method is employed to simulate the single- and two- phase flow in the extracted pore network. Good agreements are acquired on relative permeability saturation curves of the simulation against the experiment results.
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http://dx.doi.org/10.1186/s40064-016-2424-x | DOI Listing |
Front Physiol
January 2025
Walther Straub Institute of Pharmacology and Toxicology, Faculty of Medicine, Ludwig-Maximilians-University, Munich, Germany.
Two-pore channels (TPCs) are adenine nucleotide and phosphoinositide regulated cation channels. NAADP activates and ATP blocks TPCs, while the endolysosomal phosphoinositide PI(3,5)P activates TPCs. TPCs are ubiquitously expressed including expression in the innate as well as the adaptive immune system.
View Article and Find Full Text PDFSmall
January 2025
Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu, 610031, China.
Although carbon-based supercapacitors (SCs) hold the advantages of high-power and large-current characteristics, they are difficult to realize ultrahigh-power density (> 200 kW kg) and maintain almost constant energy density at ultrahigh power. This limitation is mainly due to the difficulty in balancing the structural order related to the electrical conductivity of carbon materials and the structural disorder related to the pore structure. Herein, we design a novel super-structured tubular carbon (SSTC) with a crosslinked porous conductive network to solve the structure order-disorder tradeoff effect in carbon materials.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Research Laboratory for Sustainable Development and Health, Department of Applied Physics, Faculty of Sciences and Technics, Cadi Ayyad University, Marrakesh 40000, Morocco.
Considering the growing need for developing ecological materials, this study investigates the acoustic, mechanical, and thermal properties of wood composites reinforced with beech or oak wood fibres. Scanning electron microscopy (SEM) revealed a complex network of interconnected pores within the composite materials, with varying pore sizes contributing to the material's overall properties. Acoustic characterization was conducted using a two-microphone impedance tube.
View Article and Find Full Text PDFSci Rep
January 2025
School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Tehran, Iran.
This study employed some machine learning (ML) techniques with Python programming to forecast the adsorption capacity of MOF adsorbents for thiophenic compounds namely benzothiophene (BT), dibenzothiophene (DBT), and 4,6-dimethyl dibenzothiophene (4,6-DMDBT). Five ML models were developed with the help of a dataset containing 676 rows to correlate the adsorbent features, adsorption conditions, and adsorbate characteristics to the MOF sample's sulfur adsorption capability. Among the ML approaches, MLP model achieved the best performance with a low mean squared error (MSE) of 0.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. Electronic address:
In this experiment, the effects of different concentrations of cassava starch (CS) on the gel behavior of faba bean protein (FBP) were studied, focusing on the structural characteristics, gel characteristics and physical and chemical characteristics of the gel system. Specifically, with the increase of CS concentration from 4 % to 12 %, the morphology of the sample changed from fluid to gel solid. From the molecular structure, different concentrations of CS affected the secondary and tertiary structures of FBP protein, which made aromatic amino acids move to the surface of protein and promoted the transformation from α-helix to β-sheet.
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