Article
Water Resources
Mohsen Farhadzadeh, Hamidreza M. Nick
Summary: We used Direct Numerical Simulation of the Navier-Stokes equations to analyze the dynamics of imbibition in a fractured medium. The study considered pore geometries with homogeneous and heterogeneous distributions at the matrix and fracture interface. We evaluated the impact of critical factors such as wettability, viscosity ratio, injection rate, and interfacial tension on the porescale mass exchange between matrix and fracture in 2D geometries. The study identified two different regimes of imbibition: co-operative imbibition before wetting phase breakthrough and counter-current imbibition afterwards.
ADVANCES IN WATER RESOURCES
(2023)
Article
Engineering, Civil
Sepide Zakeri, Randy Hazlett, Krishna Babu
Summary: Spontaneous imbibition is the primary mechanism for oil expulsion to the fracture network during waterflooding, and a thorough understanding of this phenomenon is crucial for process improvement.
JOURNAL OF HYDROLOGY
(2023)
Article
Mathematics, Applied
L. A. T. Mororo, F. P. van der Meer
Summary: The thick level set (TLS) method is proposed as a nonlocal damage model for failure in solids, addressing crack initiation, branching, and merging. The nonlocality of TLS is achieved through a characteristic length. This paper introduces a domain decomposition method for a parallel implementation of TLS, proposing appropriate parallel strategies for numerical features specific to TLS analysis steps. Results demonstrate the accuracy and efficiency of the proposed framework for parallel computing with TLS.
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2021)
Article
Mathematics, Interdisciplinary Applications
Xiangguo Liu, Guojun Liu, Yazhen Wang, Gengsheng Li, Rui Zhang, Weicai Peng
Summary: To address the limitations of conventional level set segmentation algorithms, a segmentation model based on the fusion of texture and structural information is developed. The model utilizes a rotation invariant mask and factorization theory to capture global image information and integrate pixel and neighboring pixel information into an energy generalization function. Experimental results demonstrate that the proposed model outperforms current active contour models in terms of robustness, segmentation accuracy, and algorithm running time.
FRACTAL AND FRACTIONAL
(2022)
Article
Engineering, Multidisciplinary
Nima Noii, Hassan Ali Jahangiry, Haim Waisman
Summary: This study presents a mathematical formulation for topology optimization of macro structures undergoing ductile failure. The prediction of ductile solid materials is challenging yet crucial in engineering applications. The study utilizes the phase-field approach to model and compute fracture phenomena, aiming to optimize topology for minimizing mass and enhancing fracture resistance.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Chemical
Moises Velasco-Lozano, Matthew T. Balhoff
Summary: Countercurrent spontaneous imbibition is a significant flow mechanism for oil recovery in fractured reservoirs during waterflooding, but insufficient modeling has been done under dynamic conditions. The presented semi-analytical solution incorporates a transfer function to account for continuous fluid exchange between the fracture and the matrix, allowing accurate prediction of oil recovery and water infiltration in the matrix under dynamic conditions. The model has been verified against 2D numerical simulations and experimental data, showing its effectiveness in modeling countercurrent spontaneous imbibition.
TRANSPORT IN POROUS MEDIA
(2021)
Article
Mechanics
L. A. T. Mororo, A. Poot, F. P. van der Meer
Summary: This paper introduces a generalized framework for the Thick Level Set method (TLSV2) and addresses two major issues with the method. The TLSV2 combines continuum damage modeling and discrete cohesive crack modeling to handle different types of cracks and allow for stiffness recovery upon contact.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Green & Sustainable Science & Technology
Nan Hu, Qingpeng Wu, Han Yue, Zhongqi Ren, Junjie Gu, Hongkang Zhao, Qunsheng Li
Summary: This paper proposes a novel design optimization method to improve the simultaneous synthesis ability of HID processes and addresses the challenges in dealing with azeotropic mixtures. By simplifying the representation of the superstructure and combining thermodynamic analysis with automated search, the method enhances the speed and robustness of the automated optimization process.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Thermodynamics
Ming Liu, Yosuke Hasegawa
Summary: An inverse design model of a radiative heat transfer surface is established in this paper based on adjoint analysis, level-set function, and volume penalization method. The level-set function represents arbitrary complex geometry in a Cartesian grid system, while the volume penalization method simulates forward radiative transfer problem. The sensitivity of the current shape to a prescribed cost functional is obtained through adjoint analysis and used to update the shape. The entire inverse design procedures are implemented in OpenFOAM to validate the proposed method using two pure radiation problems and a more complex three-dimensional problem.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Engineering, Marine
Ying Xu, Jiameng Wu, Pingshu Li, Pentti Kujala, Zhiqiang Hu, Gang Chen
Summary: This paper investigates the fracture mechanism of level ice by simulating collision scenarios, and finds that the collision velocity and structure inclination affect the fracture mode. The numerical model is verified with field test data, and two fracture modes, bending and splitting, are observed in the simulated cases.
Article
Computer Science, Interdisciplinary Applications
Tianju Xue, WaiChing Sun, Sigrid Adriaenssens, Yujie Wei, Chuanqi Liu
Summary: An efficient method for reinitializing a level set function to a signed distance function using the finite element method is proposed in this study. By applying modified boundary conditions weakly with a penalty method, the original zero level set interface is preserved. Numerical benchmarks show optimal convergence rates under different error measures, demonstrating the accuracy and robustness of the method for complex geometries.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Multidisciplinary
Zihao Wang, Weian Yao, Chong Zuo, Xiaofei Hu
Summary: The study investigates phase change problems numerically using a combined approach of PTEBEM and the level set method. The proposed method solves the transient heat transfer problem and tracks material phase interface accurately during phase change. The numerical framework is enhanced for higher stability and accuracy.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Engineering, Electrical & Electronic
Changqing Xu, Yi Liu, Xinfang Liao, Jialiang Cheng, Yintang Yang
Summary: A novel machine learning regression-based method for single-event transient (SET) modeling is proposed in this article. By collecting SET current data and using a neural network to build a SET pulse current model, effective modeling of SET effects in circuit-level simulations is achieved.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2021)
Article
Multidisciplinary Sciences
Mei Zhang, Dan Meng, Lingling Liu, Jinghua Wen
Summary: This paper proposes an improved algorithm based on the no-weight initialization level set model to address the shortcomings of the traditional level set model. The improved method introduces bilateral filters and uses implicit surface level sets to accurately extract and segment the original target image object. Experimental results demonstrate that the improved method achieves better edge contour extraction and noise reduction compared to the traditional non-reinitialized level set model.
Article
Engineering, Civil
Zhi Dou, Yan Zhao, Yunbo Wei, Chao Zhuang, Yongqiang Chen, Jinguo Wang, Zhifang Zhou
Summary: Spontaneous imbibition (SI) is an important process in hydrological and geological applications. This study investigated the SI process in a dual-porosity medium and used low-field nuclear magnetic resonance (LF NMR) technology to monitor the distribution of imbibed water. The results showed that the rate of matrix imbibition was greater in the dual-porosity media due to enhanced mass transfer between the matrix and the filled fracture. An analytical model was proposed to characterize this enhanced mass transfer and found a non-monotonic relationship between the rate of matrix imbibition and the size of the particles filled in the fracture.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Petroleum
Wenhui Song, Ying Yin, Christopher J. Landry, Masa Prodanovic, Zhiguo Qu, Jun Yao
Summary: The study introduces a new gas transport model that accurately predicts gas transport behavior in nanoporous media, including properties such as shape, Knudsen number, and surface roughness. This model can help researchers better understand the transport mechanisms of gases in heterogeneous pores.
Article
Engineering, Chemical
Sandong Zhou, Dameng Liu, Zuleima T. Karpyn, Yidong Cai, Yanbin Yao
Summary: The study introduces the concept of dual compressibility to characterize coal pore compressibility, revealing that high pore compressibility significantly impacts storage and transport capacity. A new model is proposed for estimating coal permeability based on mercury porosimetry data.
TRANSPORT IN POROUS MEDIA
(2021)
Article
Engineering, Chemical
Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers
Summary: The permeability of complex porous materials is crucial to various engineering disciplines. Direct flow simulation provides accurate results but is computationally expensive, while semi-analytical models are limited in applicability. Data-driven machine learning approaches show promise in building general models but face challenges in scaling to large 3D domains.
TRANSPORT IN POROUS MEDIA
(2021)
Article
Computer Science, Interdisciplinary Applications
Eric J. Goldfarb, Ken Ikeda, Richard A. Ketcham, Masa Prodanovic, Nicola Tisato
Summary: This study introduces a segmentation-less digital rock physics method that estimates rock properties by preserving the scaling relationship between voxel values in CT attenuation units and calibrating with known densities. The method allows quick and accurate estimation of density and porosity without the need for external laboratory calibration.
COMPUTERS & GEOSCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken
Summary: The deep learning model MudrockNet successfully applied to the segmentation of scanning electron microscope images, accurately identifying silt grains, clay grains, and pores, achieving high pixel accuracy and prediction results. Compared with the random forest classifier based on Weika segmentation, MudrockNet performed better in most cases.
COMPUTERS & GEOSCIENCES
(2022)
Article
Mathematics, Interdisciplinary Applications
Wenhui Song, Masa Prodanovic, Jun Yao, Kai Zhang, Qiqi Wang
Summary: The study proposes electrical conductivity models for both single-phase and multi-phase porous media based on fractal theory, taking into account various factors. The calculated formation factor based on the proposed models correlates well with sandstone experimental data, indicating the high accuracy and reliability of the conductivity predictions.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Engineering, Petroleum
Ningyu Wang, Yifei Liu, Luming Cha, Matthew T. Balhoff, Masa Prodanovic
Summary: We demonstrate the potential of hydrophilic superparamagnetic nanoparticles in enhanced oil recovery (EOR) by directly observing their effect on oil mobilization. The experiments show that the application of a magnetic field to the nanoparticles can effectively reduce oil saturation and increase oil displacement.
Article
Multidisciplinary Sciences
Javier E. Santos, Michael J. Pyrcz, Masa Prodanovi
Summary: Digital rock images are computational representations that capture the geometrical complexity of systems present ubiquitously in nature. In recent years, their use has become widespread due to the increasing availability of repositories, and open-source physics simulators and analysis tools. This article presents a dataset of 3D binary geometries in a standardized format that represent a wide variety of geological and engineering systems.
Article
Engineering, Petroleum
Ningyu Wang, Hugh Daigle, Masa Prodanovic
Summary: This paper investigates the potential of nanopaint-aided electromagnetic pigging for mitigating wax deposition. By using an electromagnetic pigging tool, the nanopaint coating on the pipeline's inner wall and the pipeline wall itself can be heated, which results in the removal of wax adhering to the pipeline. The study finds that larger coil radius allows for higher pig speed, and faster pig speed generally improves efficiency but decreases effectiveness.
Article
Computer Science, Software Engineering
Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc A. Hesse, Michael J. Pyrcz, Masa Prodanovic
Summary: MPLBM-UT is a lattice-Boltzmann library specifically designed for single- and two-phase flow simulations in porous media. It provides a comprehensive set of tools and interfaces that allow users to perform simulations and visualize results with ease.
Article
Materials Science, Multidisciplinary
Luming Cha, Ningyu Wang, Masa Prodanovic, Matthew T. Balhoff
Summary: The deformation of fluid droplets in a ferrofluid under the influence of an external magnetic field has been studied. Experimental results show that increasing the rotation frequency of the magnetic field weakens the droplet's deformation. A model of forced vibration with damping is used to describe the impact of the rotation frequency and magnetic field strength. This research provides a method to predict the behavior of confined droplets in ferrofluid for micro-scale applications.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2022)
Article
Engineering, Chemical
Wenhui Song, Masa Prodanovic, Jun Yao, Kai Zhang
Summary: In this study, a multiphase pore network transport model considering the influence of capillary pressure, disjoing pressure and fluid transport mechanisms in irregular pores was proposed. The analysis showed that the nano-scale wetting film enhances wetting-phase relative permeability and electrical conductivity in nano-scale porous media, with less significant effects on micron-scale media. The study also found that the nano-scale wetting film causes more wetting fluid retention after displacement in nano-porous media, possibly explaining the low flowback rate after hydraulic fracturing in shale and ultra-tight sandstones.
TRANSPORT IN POROUS MEDIA
(2023)
Article
Engineering, Chemical
Anuradha Radhakrishnan, Alex Gigliotti, Keith P. Johnston, David DiCarlo, Masa Prodanovic
Summary: This paper explores the impact of fracture roughness on foam transport and structure. Experimental results show that fractures with rough surfaces decrease the tendency of lamella collapse and increase the apparent viscosity compared to smooth fractures. Simulations using the Lattice Boltzmann method demonstrate that foam bubbles in rough fractures exhibit different characteristics in terms of size and distribution compared to smooth fractures.
TRANSPORT IN POROUS MEDIA
(2022)
Article
Multidisciplinary Sciences
Javier E. Santos, Bernard Chang, Alex Gigliotti, Ying Yin, Wenhui Song, Masa Prodanovic, Qinjun Kang, Nicholas Lubbers, Hari Viswanathan
Summary: Physical processes in porous materials have various practical applications. However, approximating these processes numerically is computationally demanding due to the complex behavior arising from the intricate solid boundary conditions. This article introduces a large dataset of 3D geometries, simulation results, and structural properties of samples, which can be used for constructing models and validating simulation codes.
Article
Engineering, Environmental
Agnese Marcato, Javier E. Santos, Gianluca Boccardo, Hari Viswanathan, Daniele Marchisio, Masa Prodanovic
Summary: The study of solute transport in porous media is important in chemical engineering systems. Neural networks can be trained with flow simulations to predict fields faster and with less computational resources. However, an effective description of the domain and operating conditions is crucial for accurate generalized models. This work trains a multi scale convolutional neural network (MSNet) with a diverse dataset to predict concentration fields in porous media images.
CHEMICAL ENGINEERING JOURNAL
(2023)