Joint event location and velocity model update in real-time for downhole microseismic monitoring: A deep learning approach

被引:0
|
作者
Wamriew, Daniel [1 ]
Charara, Marwan [2 ]
Pissarenko, Dimitri [1 ,3 ]
机构
[1] Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow,121205, Russia
[2] Aramco Innovations LLC., Aramco Research Center, Leninskiye Gory 1, Moscow,119234, Russia
[3] Total Energies, Research & Development, Lesnaya 7, Moscow,125047, Russia
来源
Computers and Geosciences | 2022年 / 158卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
44
引用
收藏
相关论文
共 50 条
  • [11] Real-time monitoring system of cyanobacteria blooms using deep learning approach
    Chen, LiFang
    Shi, Yu
    Du, YuanXin
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (29) : 42413 - 42431
  • [12] Deep Learning Based Real-Time Driver Emotion Monitoring
    Verma, Bindu
    Choudhary, Ayesha
    2018 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY (ICVES 2018), 2018,
  • [13] Joint inversion for effective anisotropic velocity model and event locations using S-wave splitting measurements from downhole microseismic data
    Yuan, Duo
    Li, Aibing
    GEOPHYSICS, 2017, 82 (03) : C133 - C143
  • [14] Real-time model calibration with deep reinforcement learning
    Tian, Yuan
    Chao, Manuel Arias
    Kulkarni, Chetan
    Goebel, Kai
    Fink, Olga
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 165
  • [15] A Conceptual Deep Learning Model for Real-Time Routing
    Ikidid, Abdelouafi
    El Fazziki, Abdelaziz
    Sadgal, Mohammed
    El Ghazouani, Mohamed
    Ichahane, My Youssef
    2022 16TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS, SITIS, 2022, : 453 - 456
  • [16] An Effective Hybrid Learning Model for Real-Time Event Summarization
    Yang, Min
    Qu, Qiang
    Shen, Ying
    Zhao, Zhou
    Chen, Xiaojun
    Li, Chengming
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (10) : 4419 - 4431
  • [17] A deep learning approach for real-time detection of atrial fibrillation
    Andersen, Rasmus S.
    Peimankar, Abdolrahman
    Puthusserypady, Sadasivan
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 115 : 465 - 473
  • [18] A deep learning approach for real-time detection of sleep spindles
    Kulkarni, Prathamesh M.
    Xiao, Zhengdong
    Robinson, Eric J.
    Jami, Apoorva Sagarwal
    Zhang, Jianping
    Zhou, Haocheng
    Henin, Simon E.
    Liu, Anli A.
    Osorio, Ricardo S.
    Wang, Jing
    Chen, Zhe
    JOURNAL OF NEURAL ENGINEERING, 2019, 16 (03)
  • [19] Deep characteristic learning model for real-time flow monitoring based on H-ADCP
    Li, Yu
    Zhao, Xin
    Wang, Yibo
    Zeng, Ling
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2025, 57
  • [20] A real-time rockburst prediction model for Qinling Tunnel based on the characteristic parameters of microseismic monitoring
    Hu, Jing
    Liu, Shen
    Chen, Zuyu
    Shuili Xuebao/Journal of Hydraulic Engineering, 2024, 55 (07): : 757 - 767