Sensitivity analysis of seismic depth migrations: Complex structural models

被引:0
|
作者
Pon, S [1 ]
Lines, L [1 ]
机构
[1] Univ Calgary, Dept Geol & Geophys, Calgary, AB T2N 1N4, Canada
来源
JOURNAL OF SEISMIC EXPLORATION | 2004年 / 12卷 / 04期
关键词
depth migration; velocity; sensitivity analysis;
D O I
暂无
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
Accurate velocity estimation is essential for successful seismic depth migration. There is a need to quantify methods for determining the effect of velocity on depth migration since velocity errors will ultimately lead to improper positioning and poor focusing of migrated reflection events. We describe mathematical relationships between inaccurate input velocities and depth positional errors on the migrated section. Additionally, we perform sensitivity analysis for velocities derived from prestack depth migrations. As a final step, we examine the migration errors for realistic Canadian Foothills model seismograms. Results demonstrate that systematic velocity errors, rather than random errors, are problematic, especially with prestack depth migration. In practice, an iterative and interpretive approach is needed in order to refine images of complex folds and faults. Our results identify the need to quantify uncertainties in migrated images in order to help assess the risk involved in hydrocarbon exploration and development.
引用
收藏
页码:365 / 382
页数:18
相关论文
共 50 条
  • [1] Efficient sensitivity analysis for structural seismic fragility assessment based on surrogate models
    Yan, Yexiang
    Xia, Ye
    Sun, Limin
    STRUCTURES, 2024, 69
  • [2] Sensitivity analysis of complex models
    Drechsler, M
    BIOLOGICAL CONSERVATION, 1998, 86 (03) : 401 - 412
  • [3] Sensitivity analysis for complex ecological models - A new approach
    Makler-Pick, Vardit
    Gal, Gideon
    Gorfine, Malka
    Hipsey, Matthew R.
    Carmel, Yohay
    ENVIRONMENTAL MODELLING & SOFTWARE, 2011, 26 (02) : 124 - 134
  • [4] Process level sensitivity analysis for complex ecological models
    Brugnach, M
    ECOLOGICAL MODELLING, 2005, 187 (2-3) : 99 - 120
  • [5] Probabilistic sensitivity analysis of complex models: a Bayesian approach
    Oakley, JE
    O'Hagan, A
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2004, 66 : 751 - 769
  • [6] Emulation techniques for the reduction and sensitivity analysis of complex environmental models
    Ratto, Marco
    Castelletti, Andrea
    Pagano, Andrea
    ENVIRONMENTAL MODELLING & SOFTWARE, 2012, 34 : 1 - 4
  • [7] A Comparison of Sensitivity Analysis Techniques for Complex Models for Environmental Management
    Ravalico, J. K.
    Maier, H. R.
    Dandy, G. C.
    Norton, J. P.
    Croke, B. F. W.
    MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, 2005, : 2533 - 2539
  • [8] Structural shape sensitivity analysis for nonlinear material models with strain softening
    G. Bugeda
    L. Gil
    E. Oñate
    Structural optimization, 1999, 17 : 162 - 171
  • [9] Integration of Adaptive Emulators and Sensitivity Analysis for Enhancement of Complex Hydrological Models
    Budamala, Venkatesh
    Baburao Mahindrakar, Amit
    ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL, 2020, 7 (04): : 1235 - 1253
  • [10] Integration of Adaptive Emulators and Sensitivity Analysis for Enhancement of Complex Hydrological Models
    Venkatesh Budamala
    Amit Baburao Mahindrakar
    Environmental Processes, 2020, 7 : 1235 - 1253