Geophysical inversion using approximate equality constraints

被引:40
|
作者
Medeiros, WE [1 ]
Silva, JBC [1 ]
机构
[1] FED UNIV PARA,DEPT GEOFIS,BR-66017900 BELEM,PARA,BRAZIL
关键词
D O I
10.1190/1.1444086
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
Current inversion methods estimating a physical property on a grid use two kinds of constraints: (1) absolute constraints requiring that the solution vector be close to a prespecified vector as, for example, proximity to the null vector in the ridge regression, and (2) relative constraints requiring that the elements of the solution vector be close to each other as, for example, smoothness imposed by methods requiring that spatial derivatives of the physical property be continuous. Using just absolute constraints may produce a biased solution conflicting with some true geological attributes of the source. On the other hand, using just relative constraints may be insufficient to stabilize the inversion. We present a stable inversion method incorporating absolute constraints only at points where the physical property is known as, for example, outcroppings and boreholes. Elsewhere, relative constraints are introduced according to a linear relationship for the spatial distribution of the physical property. The proposed method is analogous to an interpolation method applied to the physical property distribution: the interpolating function must satisfy some property, like continuity, and pass through the data. The proposed method is versatile in incorporating not only factual, but also indirect information such as continuity, symmetry, and trends. In addition, it may be applied both to linear and nonlinear problems. The relevant results obtained from applying the method to synthetic potential-field data were: (1) ability to produce reliable mappings of the basement relief of a sedimentary basin (from gravity data) and of an areal distribution of magnetization, using only smoothness constraints and restricted surface and borehole information; (2) operational simplicity because of the solution insensitivity to the damping parameter. The method is also applied to the Bouguer anomaly over San Jacinto Graben, California, producing results consistent with previous interpretations.
引用
收藏
页码:1678 / 1688
页数:11
相关论文
共 50 条
  • [11] GEOPHYSICAL INVERSION USING A HIERARCHICAL STRATEGY
    Furman, Alex
    Huisman, Johan A.
    [J]. PROCEEDINGS OF THE XVIII INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS IN WATER RESOURCES (CMWR 2010), 2010, : 667 - 674
  • [12] REGULARIZATION OF GEOPHYSICAL INVERSION USING DICTIONARY LEARNING
    Bianco, Michael
    Gerstoft, Peter
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 1582 - 1586
  • [13] Multiple joint inversion of geophysical data with sub-region crossgradient constraints
    Li Tong-Lin
    Zhang Rong-Zhe
    Pak Yong-Chol
    Kim Gang-Sop
    Kim Jang-Son
    Choe Byong-Min
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2016, 59 (08): : 2979 - 2988
  • [14] Bayesian Geophysical Inversion Using Invertible Neural Networks
    Zhang, Xin
    Curtis, Andrew
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2021, 126 (07)
  • [15] VELOCITY INVERSION USING GEOLOGICAL CONSTRAINTS
    VANTRIER, J
    [J]. AAPG BULLETIN-AMERICAN ASSOCIATION OF PETROLEUM GEOLOGISTS, 1988, 72 (03): : 397 - 397
  • [16] APPLIED GEOPHYSICAL INVERSION
    ELLIS, RG
    OLDENBURG, DW
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 1994, 116 (01) : 5 - 11
  • [17] Geophysical joint inversion based on mixed structural and rock-physics coupling constraints
    Zhang, Rongzhe
    Li, Tonglin
    Liu, Cai
    He, Haoyuan
    Huang, Xingguo
    Vatankah, Saeed
    [J]. GEOPHYSICS, 2023, 88 (02) : K27 - K37
  • [18] ON A TWO-PHASE APPROXIMATE GREATEST DESCENT METHOD FOR NONLINEAR OPTIMIZATION WITH EQUALITY CONSTRAINTS
    Lee, M. S.
    Goh, B. S.
    Harno, H. G.
    Lim, K. H.
    [J]. NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION, 2018, 8 (03): : 315 - 326
  • [19] Integration of geophysical constraints for multilayer geometry refinements in 2.5D gravity inversion
    Xing, Jian
    Hao, Tianyao
    Xu, Ya
    Li, Zhiwei
    [J]. GEOPHYSICS, 2016, 81 (05) : G95 - G106
  • [20] Test-inversion confidence intervals for estimands in contingency tables subject to equality constraints
    Zhu, Qiansheng
    Lang, Joseph B.
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 169