Production prediction of deep coal-rock gas based on integrated multi-modal characteristics

被引:0
|
作者
Guo, Zixi [1 ,2 ]
Zhang, Shu [1 ,3 ,4 ,5 ]
Ma, Biao [6 ]
Kang, Yunwei [7 ]
Li, Shuguang [8 ]
Chen, Dong [9 ]
Chen, Yiyu [8 ]
Chen, Bowen [10 ]
Zhao, Jinzhou [1 ]
机构
[1] National Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Sichuan, Chengdu,610500, China
[2] Department of Mathematical Sciences, Tsinghua University, Beijing,100084, China
[3] School of Computer Science and Software Engineering, Southwest Petroleum University, Sichuan, Chengdu,610500, China
[4] Engineering Research Center for Intelligent Oil & Gas Exploration and Development of Sichuan Province, Sichuan, Chengdu,610500, China
[5] Nanchong Key Laboratory of Data Mining and Knowledge Management/, Southwest Petroleum University, Sichuan, Nanchong,610599, China
[6] Downhole Service Company, CNPC Chuanqing Drilling Engineering Company Limited , Sichuan, Chengdu,610052, China
[7] School of Sciences, Southwest Petroleum University, Sichuan, Chengdu,610500, China
[8] PetroChina Coalbed Methane Company Limited, Beijing,100028, China
[9] China United Coalbed Methane National Engineering Research Center, Beijing,100095, China
[10] PetroChina Southwest Oil & Gasfield Company, Sichuan, Chengdu,610051, China
关键词
D O I
10.3787/j.issn.1000-0976.2024.10.011
中图分类号
学科分类号
摘要
引用
收藏
页码:140 / 149
相关论文
共 50 条
  • [41] Multi-modal deep learning framework for head & neck cancer outcome prediction
    Diamant, Andre
    Chatterjee, Avishek
    Vallieres, Martin
    Shenouda, George
    Seuntjens, Jan
    MEDICAL PHYSICS, 2019, 46 (11) : 5372 - 5372
  • [42] Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations
    Jha, Kanchan
    Saha, Sriparna
    Saha, Snehanshu
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [43] ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application
    Huang, Zhiyu
    Mo, Xiaoyu
    Lv, Chen
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 988 - 993
  • [44] Research on Multi-Physical Field Characteristics of Deep Coal Seam Mining Based on the Rock-Coal-Rock Model
    Du, Feng
    Zhang, Yi
    Dai, Linchao
    Cui, Weilong
    Wang, Bo
    Sun, Jiazhi
    PROCESSES, 2024, 12 (04)
  • [45] Sensitivity analysis of bursting liability for different coal-rock combinations based on their inhomogeneous characteristics
    Wang, Pu
    Jia, Hongjun
    Zheng, Pengqiang
    GEOMATICS NATURAL HAZARDS & RISK, 2020, 11 (01) : 149 - 159
  • [46] Towards an Integrated Model of Speech and Gesture Production for Multi-Modal Robot Behavior
    Salem, Maha
    Kopp, Stefan
    Wachsmuth, Ipke
    Joublin, Frank
    2010 IEEE RO-MAN, 2010, : 614 - 619
  • [47] Characteristics of coal-rock fractures based on CT scanning and its influence on failure modes
    Fu Y.
    Chen X.
    Feng Z.
    Meitan Xuebao/Journal of the China Coal Society, 2020, 45 (02): : 568 - 578
  • [48] Critical Conditions and Energy Transfer Characteristics of the Failure Process of Coal-Rock Combination Systems in Deep Mines
    Sun, Haitao
    Dai, Linchao
    Liu, Yanbao
    Jin, Hongwei
    GEOFLUIDS, 2021, 2021
  • [49] Coal-rock damage characteristics caused by blasting within a reverse fault and its resultant effects on coal and gas outburst
    Gao, Kui
    Huang, Ping
    Liu, Zegong
    Liu, Jian
    Shu, ChiMin
    Qiao, Guodong
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [50] Development and Application of Gas Production Measurement System of Coal-Rock under Temperature-Pressure Coupling
    Ma, Chunde
    Wang, Zihe
    Xu, Jiaqing
    Tan, Guanshuang
    Lv, Zhihai
    Zhu, Quanqi
    SENSORS, 2022, 22 (18)