Simulating multiphase flow in fractured media with graph neural networks

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Abstract
Cite
Jiang, Jiamin. “Simulating Multiphase Flow in Fractured Media With Graph Neural Networks”. Physics of Fluids, vol. 36, no. 2, 2024, https://doi.org/10.1063/5.0189174.
Jiang, J. (2024). Simulating multiphase flow in fractured media with graph neural networks. Physics of Fluids, 36(2). https://doi.org/10.1063/5.0189174
Jiang, Jiamin. “Simulating Multiphase Flow in Fractured Media With Graph Neural Networks”. Physics of Fluids 36, no. 2 (2024). https://doi.org/10.1063/5.0189174.
Jiang J. Simulating multiphase flow in fractured media with graph neural networks. Physics of Fluids. 2024;36(2).
Refrences
Title Journal Journal Categories Citations Publication Date
Efficient dissipation-based nonlinear solver for multiphase flow in discrete fractured media Journal of Computational Physics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Physics
1 2023
Neural network surrogate for flow prediction and robust optimization in fractured reservoir systems Fuel
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Chemical technology: Chemical engineering
  • Science: Chemistry
3 2023
A graph neural network-based framework to identify flow phenomena on unstructured meshes

Physics of Fluids
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases
  • Science: Physics
7 2023
A gradient-based deep neural network model for simulating multiphase flow in porous media Journal of Computational Physics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Physics
23 2022
A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data Computer Methods in Applied Mechanics and Engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
92 2022
Refrences Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)17
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)12
Science: Mathematics: Instruments and machines: Electronic computers. Computer science11
Science: Physics10
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics8
Science: Mathematics7
Technology: Mechanical engineering and machinery7
Science: Geology: Petrology6
Science: Geology: Mineralogy6
Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products6
Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases5
Technology: Chemical technology: Chemical engineering4
Geography. Anthropology. Recreation: Environmental sciences4
Science: Geology4
Technology: Environmental technology. Sanitary engineering4
Science: Biology (General): Ecology4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware3
Science: Chemistry2
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Science: Science (General)1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Science: Physics: Heat: Thermodynamics1
The category Technology: Engineering (General). Civil engineering (General) 17 is the most frequently represented among the references in this article. It primarily includes studies from Advances in Water Resources and SPE Journal. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year