Tutorial: unified 1D inversion of the acoustic reflection response

被引:8
|
作者
Slob, Evert [1 ]
Wapenaar, Kees [1 ]
Treitel, Sven [2 ]
机构
[1] Delft Univ Technol, Dept Geosci & Engn, POB 5048, NL-2600 GA Delft, Netherlands
[2] Tridekon, Tulsa, OK USA
基金
欧盟地平线“2020”; 欧洲研究理事会;
关键词
acoustic; inversion; numerical study; INTERNAL MULTIPLES; MARCHENKO; WAVES;
D O I
10.1111/1365-2478.12946
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
Acoustic inversion in one-dimension gives impedance as a function of travel time. Inverting the reflection response is a linear problem. Recursive methods, from top to bottom or vice versa, are known and use a fundamental wave field that is computed from the reflection response. An integral over the solution to the Marchenko equation, on the other hand, retrieves the impedance at any vertical travel time instant. It is a non-recursive method, but requires the zero-frequency value of the reflection response. These methods use the same fundamental wave field in different ways. Combining the two methods leads to a non-recursive scheme that works with finite-frequency bandwidth. This can be used for target-oriented inversion. When a reflection response is available along a line over a horizontally layered medium, the thickness and wave velocity of any layer can be obtained together with the velocity of an adjacent layer and the density ratio of the two layers. Statistical analysis over 1000 noise realizations shows that the forward recursive method and the Marchenko-type method perform well on computed noisy data.
引用
收藏
页码:1425 / 1442
页数:18
相关论文
共 50 条
  • [1] Unified elimination of 1D acoustic multiple reflection
    Slob, Evert
    Zhang, Lele
    GEOPHYSICAL PROSPECTING, 2021, 69 (02) : 327 - 348
  • [2] The refined impedance transform for 1D acoustic reflection data
    Gibson, Peter C.
    INVERSE PROBLEMS, 2018, 34 (07)
  • [3] Stochastic hillclimbing inversion for 1D Magnetotelluric data
    Xiong Jie
    Meng Xiaohong
    Liu Caiyun
    2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL VI, 2011, : 448 - 451
  • [4] Stochastic hillclimbing inversion for 1D Magnetotelluric data
    Xiong Jie
    Meng Xiaohong
    Liu Caiyun
    2011 AASRI CONFERENCE ON INFORMATION TECHNOLOGY AND ECONOMIC DEVELOPMENT (AASRI-ITED 2011), VOL 3, 2011, : 225 - 228
  • [5] Simulated annealing for vertical magnetic dipole TEM 1D inversion
    Li, Jianhui
    Zhu, Ziqiang
    Zeng, Sihong
    Liu, Qunyi
    He, Xianqi
    Mi, Shiwen
    NEAR-SURFACE GEOPHYSICS AND GEOHAZARDS - PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL AND ENGINEERING GEOPHYSICS, VOLS 1 AND 2, 2010, : 408 - 411
  • [6] Inversion of DC profiles using 1D piecewise continuous models
    Hidalgo, H
    Gómez-Treviño, E
    Marroquín, JL
    IMAGE RECONSTRUCTION FROM INCOMPLETE DATA, 2000, 4123 : 123 - 132
  • [7] 1D waveform inversion of GPR trace by particle swarm optimization
    Kaplanvural, Ismail
    Peksen, Ertan
    Ozkap, Kerem
    JOURNAL OF APPLIED GEOPHYSICS, 2020, 181
  • [8] A fast hybrid 1D inversion approach for ground conductivity data
    Christensen, Niels Boie
    Jacobsen, Bo Holm
    NEAR SURFACE GEOPHYSICS, 2025, 23 (01) : 30 - 48
  • [9] A 1D inversion for non-invasive time domain reflectometry
    Platt, Ian G.
    Woodhead, Ian M.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2008, 19 (05)
  • [10] Comparison of 1D Magnetotelluric Inversion using Levenberg-Marquardt and Occam's Inversion Schemes
    Martakusumah, Rocky
    Srigutomo, Wahyu
    5TH ASIAN PHYSICS SYMPOSIUM (APS 2012), 2015, 1656