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
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