Data-domain correlation approach for joint hydrogeologic inversion of time-lapse hydrogeologic and geophysical data
Inverse estimations of hydrogeologic properties are often highly uncertain due to the expense of collecting hydrogeologic data and the subsequent lack of information. Geophysical data can potentially help fill this information gap because geophysical methods can survey large areas remotely and relatively inexpensively. However, geophysical data are difficult to incorporate into hydrogeological parameter estimations due primarily to a lack of knowledge concerning the petrophysical relationships between hydrogeological and geophysical parameters. We present a method which allows time lapse geophysical data to be directly incorporated into a hydrogeological parameter estimation when there is a strong correlation between changes in geophysical and hydrogeological properties. This approach bypasses the need for an explicit petrophysical transform by formulating the geophysical part of the hydrogeological inversion in terms of a data domain correlation operator. We demonstrate the approach with a synthetic electrical resistivity monitoring application used to estimate the hydraulic conductivity distribution. Including time lapse resistivity data to supplement sparse hydrological data appears to greatly improve resolution of hydraulic conductivity in this case. More generally, the formulation and results suggest that geophysical monitoring data can be effectively incorporated into a hydrogeological parameter estimation using a data domain correlation operator, assuming there is a strong correlation between changes in hydrogeological and geophysical properties.
- Research Organization:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- DOE - EM
- DOE Contract Number:
- DE-AC07-05ID14517
- OSTI ID:
- 974419
- Report Number(s):
- INL/JOU-09-16272; GPYSA7; TRN: US201007%%697
- Journal Information:
- Geophysics, Vol. 74, Issue 6; ISSN 0016-8033
- Country of Publication:
- United States
- Language:
- English
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