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
来源：
Natural Gas Industry | 2024年 / 44卷 / 10期
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
  • [21] Energy Evolution Characteristics of Coal-Rock Composite Bodies Based on Unidirectional Load
    Du, Xuanhong
    Xue, Junhua
    Ma, Qian
    Chen, Zhiheng
    Zhan, Keliang
    NATURAL RESOURCES RESEARCH, 2022, 31 (03) : 1647 - 1663
  • [22] Fracturing characteristics and instability modes of deep primary coal-rock combinations under triaxial compression
    Li, Chunyuan
    Meitiandizhi Yu Kantan/Coal Geology and Exploration, 2024, 52 (08): : 111 - 123
  • [23] A multi-modal integrated deep neural networks for the prediction of cardiovascular disease in type-2 diabetic males
    Sonia, S. V. Evangelin
    Nedunchezhian, R.
    Rajalakshmi, M.
    AUTOMATIKA, 2023, 64 (04) : 1315 - 1327
  • [24] A Novel Cross Modal Hashing Algorithm Based on Multi-modal Deep Learning
    Qu, Wen
    Wang, Daling
    Feng, Shi
    Zhang, Yifei
    Yu, Ge
    SOCIAL MEDIA PROCESSING, SMP 2015, 2015, 568 : 156 - 167
  • [25] Reservoir characteristics of Carboniferous Benxi Formation coal-rock gas in the central and eastern Ordos Basin
    Liu, Xinshe
    Huang, Daojun
    Hu, Jianling
    Zhou, Guoxiao
    Du, Xiaowei
    Dai, Xianduo
    Natural Gas Industry, 2024, 44 (10) : 51 - 62
  • [26] Study on Mechanical and Permeability Characteristics of Containing Gas Coal-Rock Under Conventional Triaxial Compression
    Zhang, Bang-an
    Li, Xiao-ming
    Zhang, Dong-ming
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2021, 39 (08) : 5775 - 5786
  • [27] Effective deep learning-based multi-modal retrieval
    Wang, Wei
    Yang, Xiaoyan
    Ooi, Beng Chin
    Zhang, Dongxiang
    Zhuang, Yueting
    VLDB JOURNAL, 2016, 25 (01): : 79 - 101
  • [28] Multi-modal haptic image recognition based on deep learning
    Han, Dong
    Nie, Hong
    Chen, Jinbao
    Chen, Meng
    Deng, Zhen
    Zhang, Jianwei
    SENSOR REVIEW, 2018, 38 (04) : 486 - 493
  • [29] Effective deep learning-based multi-modal retrieval
    Wei Wang
    Xiaoyan Yang
    Beng Chin Ooi
    Dongxiang Zhang
    Yueting Zhuang
    The VLDB Journal, 2016, 25 : 79 - 101
  • [30] Deep Learning Based Multi-modal Registration for Retinal Imaging
    Arikan, Mustafa
    Sadeghipour, Amir
    Gerendas, Bianca
    Told, Reinhard
    Schmidt-Erfurt, Ursula
    INTERPRETABILITY OF MACHINE INTELLIGENCE IN MEDICAL IMAGE COMPUTING AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, 2020, 11797 : 75 - 82
12345