Joint hydrogeophysical inversion: state estimation for seawater intrusion models in 3D

被引:28
|
作者
Steklova, Klara [1 ]
Haber, Eldad [1 ,2 ]
机构
[1] Univ British Columbia, Earth & Ocean Sci, Vancouver, BC, Canada
[2] Univ British Columbia, Math, Vancouver, BC, Canada
关键词
Inverse problem; Joint inversion; Seawater intrusion; Variable density flow; DC resistivity; ADMM; ELECTRICAL-RESISTIVITY TOMOGRAPHY; SEA-WATER INTRUSION; SALTWATER INTRUSION; TRACER TEST; PARAMETER; AQUIFER; TRANSPORT; FLOW; COUNTY;
D O I
10.1007/s10596-016-9595-y
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Seawater intrusion (SWI) is a complex process, where 3D modeling is often necessary in order to monitor and manage the affected aquifers. Here, we present a synthetic study to test a joint hydrogeophysical inversion approach aimed at solving the inverse problem of estimating initial and current saltwater distribution. First, we use a 3D groundwater model for variable density flow based on discretized flow and solute mass balance equations. In addition to the groundwater model, a 3D geophysical model was developed for direct current resistivity imaging and inversion. The objective function of the coupled problem consists of data misfit and regularization terms as well as a coupling term that relates groundwater and geophysical states. We present a novel approach to solve the inverse problem using an alternating direction method of multipliers (ADMM) to minimize this coupled objective function. ADMM enables to treat the groundwater and geophysical part separately and thus use the existing software with minor changes. To further reduce the computational cost, the sensitivities are derived analytically for the discretized system of equations, which allows us to efficiently compute the gradients in the minimization procedure. The method was tested on different synthetic scenarios with groundwater and geophysical data represented by solute mass fraction data and direct current resistivity data. With the ADMM approach, we were able to obtain better estimates for the solute distribution compared to just considering each data separately, solving the problem with a simple coupled approach or by a direct substitution of the coupling constraint.
引用
收藏
页码:75 / 94
页数:20
相关论文
共 50 条
  • [1] Joint hydrogeophysical inversion: state estimation for seawater intrusion models in 3D
    Klara Steklova
    Eldad Haber
    Computational Geosciences, 2017, 21 : 75 - 94
  • [2] 3D Joint hydrogeophysical inversion using similarity measures
    Steklova, Klara
    Haber, Eldad
    APPLIED MATHEMATICS AND COMPUTATION, 2019, 357 : 338 - 356
  • [3] Joint inversion of steady-state hydrologic and self-potential data for 3D hydraulic conductivity distribution at the Boise Hydrogeophysical Research Site
    Straface, Salvatore
    Chidichimo, Francesco
    Rizzo, Enzo
    Riva, Monica
    Barrash, Warren
    Revil, Andre
    Cardiff, Michael
    Guadagnini, Alberto
    JOURNAL OF HYDROLOGY, 2011, 407 (1-4) : 115 - 128
  • [4] Density and magnetization models for the Acoculco geothermal field by joint 3D inversion
    Perez-Flores, M. A.
    Carrillo, Jonathan
    Schill, E.
    Lopez-Hernandez, A.
    Sosa-Ceballos, G.
    Cornejo-Trivino, N.
    Jimenez-Haro, A.
    Boijseauneau-Lopez, M. E.
    GEOTHERMICS, 2024, 117
  • [5] Stochastic multi-fidelity joint hydrogeophysical inversion of consistent geological models
    Neven, Alexis
    Schorpp, Ludovic
    Renard, Philippe
    FRONTIERS IN WATER, 2022, 4
  • [6] SEAWATER INTRUSION BARRIER EVALUATED WITH 3-D GROUNDWATER MODELS
    SCHROEDER, DJ
    HARLEY, BM
    MEJIA, C
    WATER-ENGINEERING & MANAGEMENT, 1989, 136 (02): : 26 - 29
  • [7] A 3D finite element model for seawater intrusion in coastal aquifers
    Aharmouch, A
    Larabi, A
    Computational Methods in Water Resources, Vols 1 and 2, 2004, 55 : 1655 - 1667
  • [8] Quast-horizontal circulation cells in 3D seawater intrusion
    Abarca, Elena
    Carrera, Jesus
    Sanchez-Vila, Xavier
    Voss, Clifford I.
    JOURNAL OF HYDROLOGY, 2007, 339 (3-4) : 118 - 129
  • [9] Deep Learning Enhanced 3D Joint Inversion
    Hu, Yanyan
    Wei, Xiaolong
    Wu, Xuqing
    Sun, Jiajia
    Huang, Yueqin
    Chen, Jiefu
    2023 IEEE USNC-URSI RADIO SCIENCE MEETING, JOINT WITH AP-S SYMPOSIUM, 2023, : 39 - 40
  • [10] Joint 3D inversion of multiple electromagnetic datasets
    Meqbel, Naser
    Ritter, Oliver
    GEOPHYSICAL PROSPECTING, 2015, 63 (06) : 1450 - 1467