Dynamic seismic imaging driven by logging while drilling in ultra-deep targets

被引:0
|
作者
Wang TengFei [1 ]
Cheng JiuBing [1 ]
Zhu Feng [1 ]
Wu XinMing [2 ]
Xu WeiYa [3 ]
Geng JianHua [1 ]
机构
[1] Tongji Univ, State Key Lab Marine Geol, Shanghai 200092, Peoples R China
[2] Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China
[3] SINOPEC, Petrolum Explorat & Prod Res Inst, Beijing 100083, Peoples R China
来源
关键词
Logging while drilling; Velocity update; Dymamic seismic imaging; Redatuming; Deep reservoir; DEPTH-MIGRATION; BIT SOURCE; INVERSION;
D O I
10.6038/cjg2022Q0390
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The ultra-deep oil and gas targets are usually overlaid by extremely thick and complex media. The velocities of seismic waves estimated from the observed data at the surface easily deviate from the true values in the subsurface, which will lead to inaccurate seismic imaging and thus significantly increase the risk and cost of deep well drilling. Improving migration velocity model with the interval velocity obtained from well logging while drilling can drive prestack depth migration of the next round and reduce well-seismic mis-tie. Accordingly, we can relocate deep target and timely adjust the rest drilling trajectory. To meet the above requirements, we introduce a dynamic seismic imaging method driven by the logging while drilling technology. First, contrained by the relative geological time (RGT) volume, the migration velocity model around the well is updated according to the difference between Backus average of logging velocity and migration velocity at the well location. Then, the seismic imaging volume ahead the drill-bit is updated before the next drilling stage by combining wave-equation-based redatuming and local 3D prestack depth migration, which are leveraged by the massively parallel architecture of graphic processing units (GPUs) to accelerate the computation. The simulation test with the field seismic data and well-log velocity demonstrates the validity of the proposed approach, and reveals the potential to support intelligent drilling of the ultra-deep targets.
引用
收藏
页码:54 / 64
页数:11
相关论文
共 35 条
  • [1] Nonlinear 3D tomographic least-squares inversion of residual moveout in Kirchhoff prestack-depth-migration common-image gathers
    Adler, Frank
    Baina, Reda
    Soudani, Mohamed Amine
    Cardon, Pierre
    Richard, Jean-Baptiste
    [J]. GEOPHYSICS, 2008, 73 (05) : VE13 - VE23
  • [2] Seismic-while-drilling applications from the first DrillCAM trial with wireless geophones and instrumented top drive
    Bakulin A.
    Aldawood A.
    Silvestrov I.
    Hemyari E.
    Poletto F.
    [J]. Silvestrov, Ilya (ilya.silvestrov@aramco.com), 1600, Society of Exploration Geophysicists (39): : 422 - 429
  • [3] Stable wide-angle Fourier finite-difference downward extrapolation of 3-D wavefields
    Biondi, B
    [J]. GEOPHYSICS, 2002, 67 (03) : 872 - 882
  • [4] Cheng JB, 2001, CHINESE J GEOPHYS-CH, V44, P389
  • [5] Claerbout J.F., 1985, IMAGING EARTHS INTER
  • [6] Esmersoy C, 2012, P 2012 SEG ANN M SEG, P1, DOI [10.1190/segam2012-1138.1, DOI 10.1190/SEGAM2012-1138.1]
  • [7] Esmersoy C., 2013, Leading Edge, V32, P1222
  • [8] Predictive painting of 3D seismic volumes
    Fomel, Sergey
    [J]. GEOPHYSICS, 2010, 75 (04) : A25 - A30
  • [9] Guo Q, 2020, GEOPHYSICS, V85, pR525, DOI [10.1190/GEO2019-0640.1, 10.1190/geo2019-0640.1]
  • [10] Methods to compute fault images, extract fault surfaces, and estimate fault throws from 3D seismic images
    Hale, Dave
    [J]. GEOPHYSICS, 2013, 78 (02) : O33 - O43