Real time Imaging of CO2 storage zone by very accurate-stable-long term seismic source

被引:7
|
作者
Kasahara, Junzo [1 ]
Ito, Shinji
Fujiwara, Tomohiro
Hasada, Yoko
Tsuruga, Kayoko
Ikuta, Ryoya [1 ]
Fujii, Naoyuki [1 ]
Yamaoka, Koshun
Ito, Kiyoshi
Nishigami, Kin'ya
机构
[1] Shizuoka Univ, Suruga Ku, 836 Ohya, Shizuoka 4228529, Japan
来源
GHGT-11 | 2013年 / 37卷
关键词
time lapse; CCS; ACROSS; reversal-time method; transfer fuction; CO2-EOR; oil and gas; ultra stable seismic source; monitoring;
D O I
10.1016/j.egypro.2013.06.309
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
To examine the effectiveness of our time lapse method for CCS monitoring, we carried out a field-test in Japan using an ultra-stable seismic source. We injected 80-tons air in total into 100 m depth. We obtained transfer functions between the source and 31 seismometers. All residual waveforms between before and after the injection revealed very large changes on records. A station at 200m distance from the injected-well showed 10ms travel-time delay at 1-day after the injection. The time-reversal imaging showed the clear image for spreading of disturbed area from the injection point to eastward with elapsed times. (C) 2013 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:4085 / 4092
页数:8
相关论文
共 50 条
  • [41] Passive seismic imaging at reservoir depths using ambient seismic noise recorded at the Otway CO2 geological storage research facility
    Issa, Nader A.
    Lumley, David
    Pevzner, Roman
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2017, 209 (03) : 1622 - 1628
  • [42] The mechanism of clay mineral transformation in CO2 geological storage and its impact on long-term storage potential
    Song, Ziyang
    Yang, Leilei
    Jiang, Fujie
    Zhu, Wenchao
    Li, Xiaofeng
    Qi, Zhenguo
    Yin, Zhenyuan
    GEOENERGY SCIENCE AND ENGINEERING, 2024, 242
  • [43] Real-time deep-learning inversion of seismic full waveform data for CO2 saturation and uncertainty in geological carbon storage monitoring
    Um, Evan Schankee
    Alumbaugh, David
    Lin, Youzuo
    Feng, Shihang
    GEOPHYSICAL PROSPECTING, 2024, 72 (01) : 199 - 212
  • [44] CO2 Capture Project Phase 2 (CCP2) - Storage Program: Closing Long-Term CO2 Geological Storage Gaps Relevant to Regulatory and Policy Development
    Imbus, Scott
    Kieke, Dan
    Crow, Walter
    Briceno, Marcos
    Rennie, Scott
    Cooper, Calvin
    Simone, Alessandra
    GREENHOUSE GAS CONTROL TECHNOLOGIES 9, 2009, 1 (01): : 35 - 39
  • [45] Rapid-repeat time-lapse vertical seismic profile imaging of CO2 injection
    Cai, Xiaohui
    Hu, Qi
    Innanen, Kristopher A.
    Keating, Scott D.
    Eaid, Matthew V.
    Macquet, Marie
    Lawton, Donald C.
    GEOPHYSICS, 2025, 90 (02) : B91 - B99
  • [46] CO2 storage: Managing the risk associated with well leakage over long time scales
    Le Guen, Y.
    Le Gouevec, J.
    Chammas, R.
    Gerard, B.
    Poupard, O.
    Van Der Beken, A.
    Jammes, L.
    SPE Projects, Facilities and Construction, 2009, 4 (03): : 87 - 96
  • [47] The long-term corrosion behavior of abandoned wells under CO2 geological storage conditions: (3) Assessment of long-term (1,000-year) performance of abandoned wells for geological CO2 storage
    Yamaguchi, Kohei
    Shimoda, Satoko
    Kato, Hiroyasu
    Stenhouse, Michael J.
    Zhou, Wei
    Papafotiou, Alexandros
    Yamashita, Yuji
    Miyashiro, Kazutoshi
    Saito, Shigeru
    GHGT-11, 2013, 37 : 5804 - 5815
  • [48] The impact of long-term elevated CO2 on C and N retention in stable SOM pools
    De Graaff, Marie-Anne
    van Kessel, Chris
    Six, Johan
    PLANT AND SOIL, 2008, 303 (1-2) : 311 - 321
  • [49] The impact of long-term elevated CO2 on C and N retention in stable SOM pools
    Marie-Anne De Graaff
    Chris van Kessel
    Johan Six
    Plant and Soil, 2008, 303 : 311 - 321
  • [50] Forensic mapping of seismic velocity heterogeneity in a CO2 layer at the Sleipner CO2 storage operation, North Sea, using time-lapse seismics
    Chadwick, R. A.
    Williams, G. A.
    Falcon-Suarez, I
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2019, 90