Surrogate permeability modelling of low -permeable rocks using convolutional neural networks

被引：0
|
作者：
Tian, Jianwei [1 ]
Qi, Chongchong [2 ]
Sun, Yingfeng [3 ]
Yaseen, Zaher Mundher [4 ]
机构：
[1] Univ Western Australia, Sch Engn, Perth, WA 6009, Australia
[2] Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Peoples R China
[3] China Univ Min & Technol, Sch Emergency Management & Safety Engn, Beijing 100083, Peoples R China
[4] Ton Duc Thang Univ, Fac Civil Engn, Sustainable Dev Civil Engn Res Grp, Ho Chi Minh City, Vietnam
来源：
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 2020年 / 366卷
关键词：
PORE STRUCTURE CHARACTERIZATION; ENHANCED GAS RECOVERY; DIGITAL ROCK; POROUS-MEDIA; CO2; STORAGE; SHALE; COAL; TRANSPORT; PREDICTION; RESERVOIR;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
引用
收藏
页数：15
相关论文
共 50 条
  • [21] Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis
    Sigut, Jose
    Fumero, Francisco
    Arnay, Rafael
    Estevez, Jose
    Diaz-Aleman, Tinguaro
    MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2023, 4 (04):
  • [22] LOW-LIGHT IMAGE ENHANCEMENT USING ASYMMETRIC CONVOLUTIONAL NEURAL NETWORKS
    Liu, Jiajia
    Deng, Zhixiang
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2024, 20 (02): : 479 - 496
  • [23] Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks
    McLoughlin, Ian
    Song, Yan
    16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5, 2015, : 2400 - 2404
  • [24] Video Restoration Using Convolutional Neural Networks for Low-Level FPGAs
    Hung, Kwok-Wai
    Qiu, Chaoming
    Jiang, Jianmin
    KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2018, PT II, 2018, 11062 : 255 - 265
  • [25] Inferring low-dimensional microstructure representations using convolutional neural networks
    Lubbers, Nicholas
    Lookman, Turab
    Barros, Kipton
    PHYSICAL REVIEW E, 2017, 96 (05)
  • [26] Seeing permeability from images: fast prediction with convolutional neural networks
    Jinlong Wu
    Xiaolong Yin
    Heng Xiao
    ScienceBulletin, 2018, 63 (18) : 1215 - 1222
  • [27] Seeing permeability from images: fast prediction with convolutional neural networks
    Wu, Jinlong
    Yin, Xiaolong
    Xiao, Heng
    SCIENCE BULLETIN, 2018, 63 (18) : 1215 - 1222
  • [28] Modelling Data Poisoning Attacks Against Convolutional Neural Networks
    Jonnalagadda, Annapurna
    Mohanty, Debdeep
    Zakee, Ashraf
    Kamalov, Firuz
    JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2024, 23 (02)
  • [29] Detecting rocks in challenging mining environments using convolutional neural networks and ellipses as an alternative to bounding boxes
    Loncomilla, Patricio
    Samtani, Pavan
    Ruiz-del-Solar, Javier
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 194
  • [30] Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks
    Kneifl, Jonas
    Fehr, Joerg
    Brunton, Steven L.
    Kutz, J. Nathan
    COMPUTATIONAL MECHANICS, 2025, 75 (03) : 1115 - 1135
12345