Physics-Informed Deep-Learning Models Improve Forecast Scalability, Reliability

被引:0
|
作者
Carpenter, Chris
机构
来源
JPT, Journal of Petroleum Technology | 2024年 / 76卷 / 10期
关键词
Compendex;
D O I
10.2118/1024-0090-JPT
中图分类号
学科分类号
摘要
引用
收藏
页码:90 / 93
相关论文
共 50 条
  • [41] Physics-informed machine learning models for ship speed prediction
    Lang, Xiao
    Wu, Da
    Mao, Wengang
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [42] Separable physics-informed DeepONet: Breaking the curse of dimensionality in physics-informed machine learning
    Mandl, Luis
    Goswami, Somdatta
    Lambers, Lena
    Ricken, Tim
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2025, 434
  • [43] Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models
    Shi, Rongye
    Mo, Zhaobin
    Di, Xuan
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 540 - 547
  • [44] A physics-informed deep learning closure for Lagrangian velocity gradient evolution
    Liu, Bo
    Wan, Zhen-Hua
    Lu, Xi-Yun
    Liu, Luo-Qin
    PHYSICS OF FLUIDS, 2023, 35 (11)
  • [45] Physics-Informed Deep Learning Inversion with Application to Noisy Magnetotelluric Measurements
    Liu, Wei
    Wang, He
    Xi, Zhenzhu
    Wang, Liang
    REMOTE SENSING, 2024, 16 (01)
  • [46] Physics-informed deep learning model in wind turbine response prediction
    Li, Xuan
    Zhang, Wei
    RENEWABLE ENERGY, 2022, 185 : 932 - 944
  • [47] Phase Retrieval for Fourier THz Imaging with Physics-Informed Deep Learning
    Xiang, Mingjun
    Wang, Lingxiao
    Yuan, Hui
    Zhou, Kai
    Roskos, Hartmut G.
    2022 47TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER AND TERAHERTZ WAVES (IRMMW-THZ 2022), 2022,
  • [48] Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics
    Liu, Xiujian
    Xie, Baihong
    Zhang, Dong
    Zhang, Heye
    Gao, Zhifan
    de Albuquerque, Victor Hugo C.
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 257
  • [49] Multi-Objective Loss Balancing for Physics-Informed Deep Learning
    Bischof, Rafael
    Kraus, Michael A.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2025, 439
  • [50] Phase-field modeling of fracture with physics-informed deep learning
    Manav, M.
    Molinaro, R.
    Mishra, S.
    De Lorenzis, L.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 429