Identification of uncertainties in the shape of geophysical objects with level sets and the adjoint method

被引:12
|
作者
Papadopoulos, Dimitris [1 ]
Herty, Michael
Rath, Volker [2 ]
Behr, Marek [1 ]
机构
[1] Rhein Westfal TH Aachen, Chair Computat Anal Tech Syst, CCES, D-52056 Aachen, Germany
[2] Univ Complutense, Dpto Astrofis & CC Atmosfera, Fac CC Fis, E-28040 Madrid, Spain
关键词
Inverse problems; Shape optimization; Finite element method; Level set method; CONTROLLED EVOLUTION; INVERSE PROBLEMS; RECONSTRUCTION; OPTIMIZATION; FLOW; SENSITIVITY; PARAMETER; STATE;
D O I
10.1007/s10596-011-9242-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A shape reconstruction method for geophysical objects by temperature measurements is presented which uses adjoint equations and a level set function approach. Temperature is measured on subdomains, e.g., representing boreholes. This information is used to reconstruct the shape of the geophysical layers. For this purpose, shape optimization techniques are applied. The method uses a representation of the layers by a so-called level set function. The evolution of this level set function is then used to determine the optimal shape. The "speed" of the evolution is computed using adjoint equations. Synthetic examples demonstrate the use of the inverse method and its behavior in different configurations.
引用
收藏
页码:737 / 753
页数:17
相关论文
共 50 条
  • [1] Identification of uncertainties in the shape of geophysical objects with level sets and the adjoint method
    Dimitris Papadopoulos
    Michael Herty
    Volker Rath
    Marek Behr
    [J]. Computational Geosciences, 2011, 15 : 737 - 753
  • [2] A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets
    Dorn, O
    Miller, EL
    Rappaport, CM
    [J]. INVERSE PROBLEMS, 2000, 16 (05) : 1119 - 1156
  • [3] TRACKING LEVEL SETS BY LEVEL SETS - A METHOD FOR SOLVING THE SHAPE FROM SHADING PROBLEM
    KIMMEL, R
    BRUCKSTEIN, AM
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 1995, 62 (01) : 47 - 58
  • [4] Shape identification for natural convection problems using the adjoint variable method
    Park, HM
    Shin, HJ
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2003, 186 (01) : 198 - 211
  • [5] Shape identification for convection diffusion problem based on the continuous adjoint method
    Yan, Wenjing
    Hou, Jiangyong
    Gao, Zhiming
    [J]. APPLIED MATHEMATICS LETTERS, 2017, 64 : 74 - 80
  • [6] Shape identification of scatterers Using a time-dependent adjoint method
    Sayag, Amit
    Givoli, Dan
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 394
  • [7] ACQUISITION OF OBSERVATIONS WHILE IDENTIFICATION OF GEOPHYSICAL OBJECTS
    GOLTSMAN, FM
    [J]. IZVESTIYA AKADEMII NAUK SSSR FIZIKA ZEMLI, 1976, (07): : 40 - 54
  • [8] Probabilistic shape-based segmentation method using level sets
    Aslan, Melih S.
    Shalaby, Ahmed
    Abdelmunim, Hossam
    Farag, Aly A.
    [J]. IET COMPUTER VISION, 2014, 8 (03) : 182 - 194
  • [9] Modeling advection in geophysical flows with particle level sets
    Samuel, H.
    Evonuk, M.
    [J]. GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2010, 11
  • [10] Development and assessment of an intrusive polynomial chaos expansion-based continuous adjoint method for shape optimization under uncertainties
    Papageorgiou, Anastasios K.
    Papoutsis-Kiachagias, Evangelos M.
    Giannakoglou, Kyriakos C.
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2022, 94 (01) : 59 - 75