FractVis: Visualizing Microseismic Events

被引:0
|
作者
Mostafa, Ahmed E. [1 ]
Carpendale, Sheelagh [1 ]
Brazil, Emilio Vital [1 ]
Eaton, David [2 ]
Sharlin, Ehud [1 ]
Sousa, Mario Costa [1 ]
机构
[1] Univ Calgary, Dept Comp Sci, Calgary, AB T2N 1N4, Canada
[2] Univ Calgary, Dept Geol Sci, Calgary, AB T2N 1N4, Canada
来源
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present our efforts of applying information visualization techniques to the domain of microseismic monitoring. Microseismic monitoring is a crucial process for a number of tasks related to oil and gas reservoir development, e. g., optimizing hydraulic fracturing operations and heavy-oil stimulation. Microseismic data has many challenging features including high dimensionality and uncertainty. We present a brief introduction to the domain of microseismic monitoring, and derive a set of tasks and data abstractions that can establish common ground between microseismic monitoring domain experts and visualization researchers. We then present FractVis, a prototype for visual analysis of microseismic data, describing the ongoing process of iteratively refining FractVis through close collaboration and consultation with domain experts. FractVis is designed to offer microseismic monitoring experts with visual analytic tools that allow investigation of the 3D spatial distribution of microseismic events, time-varying analysis and interactive exploration of high-dimensional parameter spaces, extensively complementing the existing tools in their disposal.
引用
收藏
页码:384 / 395
页数:12
相关论文
共 50 条
  • [41] Analysis of factors influencing the magnitude of microseismic events in coal reservoirs
    Li D.
    Yang R.
    Meng L.
    Wang L.
    Meitan Xuebao/Journal of the China Coal Society, 2020, 45 (11): : 3895 - 3902
  • [42] Arrival-time picking of microseismic events based on MSNet
    Sheng, Guanqun
    Yang, Shuangyu
    Tang, Xin-Gong
    Guo, Xiaolong
    GEOPHYSICS, 2022, 87 (02) : KS57 - KS71
  • [43] Dynamic evaluation of rock slope stability based on microseismic events
    Xu, N. W.
    Dai, F.
    Tang, C. A.
    ROCK DYNAMICS AND APPLICATIONS - STATE OF THE ART, 2013, : 305 - 311
  • [44] Spatial and Temporal Distribution Characteristics of Microseismic Events in Deep Mining
    Wang Chun-lai
    DISASTER ADVANCES, 2013, 6 (08): : 26 - 31
  • [45] Locating borehole microseismic events based on the tracking component scanning
    Cui Q.
    Pan S.
    Diao R.
    Shang X.
    Rui Y.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2020, 55 (04): : 831 - 838and863
  • [46] Fracture Imaging Using DAS-Recorded Microseismic Events
    Stanek, Frantisek
    Jin, Ge
    Simmons, James
    FRONTIERS IN EARTH SCIENCE, 2022, 10
  • [47] Classification of Microseismic Events and Blasts Using Deep Belief Network
    Kang, Yumei
    Wang, Yanmei
    Cheng, Guanwen
    Song, Yuhang
    Yu, Jiayue
    Zhang, Naiyuan
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 5556 - 5561
  • [48] Arrival-time picking of microseismic events based on MSNet
    Sheng G.
    Yang S.
    Guo X.
    Tang X.
    Geophysics, 2021, 87 (02)
  • [49] Visualizing network events in a muggle friendly way
    Latvala, Outi-Marja
    Keranen, Tommi
    Noponen, Sami
    Lehto, Niko
    Sailio, Mirko
    Valta, Mikko
    Olli, Pia
    2017 INTERNATIONAL CONFERENCE ON CYBER SITUATIONAL AWARENESS, DATA ANALYTICS AND ASSESSMENT (CYBER SA), 2017,
  • [50] Visualizing simulation ensembles of extreme weather events
    de Souza, Carolina Veiga Ferreira
    Luz Barcellos, Priscila da Cunha
    Crissaff, Lhaylla
    Cataldi, Marcio
    Miranda, Fabio
    Lage, Marcos
    COMPUTERS & GRAPHICS-UK, 2022, 104 : 162 - 172