incorporation of magnetic resonance sounding data into groundwater models through coupled and joint...
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Incorporation of Magnetic Resonance Sounding data into groundwater models through coupled and joint inversion
8th Annual Meeting of DWRIP 2014 JANUARY 30
T.N. Vilhelmsen, A.A. Behroozmand, S. Christensen, E. Auken, and A.V. Christiansen
• Coupled vs. Joint inversion (MRS and groundwater model)
• Mapping the groundwater table using MRS
• Results from coupled inversion tests (synthetic model)
• Perspectives for 3d joint inversion
Outline
Coupled inversion
• Tight link directly through model forward responses
• Here: Groundwater flow model is used to simulate the thickness of the upper layer in an MRS model (unsaturated zone)
Joint vs. coupled inversion
Joint inversion
• Inversion setup is linked through shared parameter characteristics
• Here: Transmissivity derived from MRS (using petrophysical relation) is linked to transmissivity in a hydrological model (through regularization)
Coupled inversion using MRS
Layer 1w,T2*,lt.
Layer 2w,T2*,lt.
Layer 3w,T2*,lt.
MRS model:
Simulated by groundwater
model
The test model
After: Hill, et al., 2000
- Two aquifers separated by an aquitard
- Two recharge zones
- Well pumping from lower aquifer
- Flow in from adjoining hill side
- Flow out through river
- Model observations generated using heterogeneous parameter fields
Reference model (50 realiazations):- Heterogeneous k-
fields (calculated from water content and decay time fields)
- 10 head obs. - 1 river discharge
obs.- 1 MRS sounding
(located at prediction point)
PEST
The inversion setup:
Groundwater model parameter files:
- Hydraulic conductivity zones
- River bed conductance- Recharge
Geophysical model parameter files:
- Holds all geo. phys. par. Except for layer 1 thick (unsaturated zone)
Groundwater model(MODFLOW-2005)
- Simulated heads- Simulated river flow
Geophysical model (AarhusInv)
- Simulated MRS resp.- Simulated TEM resp.
Thickness of unsat. zone
GF only GWM only Sequential Coupled
Mean pred. Error
-0.39 m 3.73 m 3.20 m 1.12 m
Pred. error var.
2.92 m2 7.73 m2 9.9 m2 3.04 m2
Inversion results (50 models)
- Error variance similar / mean error larger
- Independent geophysical inversion cannot improve groundwater model prediction
Goal: Achieve the most accurate prediction of head at MRS location
3d joint inversion of MRS and groundwater models
Goal:- Use MRS to improve estimate of hydraulic
conductivity heterogeneity in groundwater flow models
- Estimate parameters pertaining to the petrophysical relation together with MRS/TEM and hydrological parameters using a regularized coupling
The joint inversion methodology
PEST
Hydrologicalparameters
Groundwater model
Hydrologicalsimulation
Hydrologicaldata𝚽𝒅
Geophysicalparameters
Geophysical model
Geophysicalsimulation
Geophysicaldata
The joint inversion methodology
PEST
Hydrologicalparameters
Groundwater model
Hydrologicalsimulation
Hydrologicaldata𝚽𝒅
Geophysicalparameters
Geophysical model
Geophysicalsimulation
Geophysicaldata
Petrophysicalrelation
Petrophysical relation:Tmrs = [Cp * wa * (T2*)2 ]*lt
𝚽𝒓
𝚽𝒕
Regul. Obj. Fun.
• Coupled inversion• Can reduce head prediction
error
• Will only work for unconfined conditions
• Will be most applicable in remote areas with limited (hydrological) data coverage
• Joint inversion• Expected to increase resolution
of hydraulic conductivity inhomogeneity
• Setup tested and works for a 2d case
• Using joint inversion MRS can be linked to several types of hydrological data (not only aquifer tests)
Perspectives and conclusions