Comparative study of transient hydraulic tomography with varying parameterizations and zonations: Laboratory sandbox investigation

The importance of fracture geometry and matrix data on transient hydraulic tomography in fractured rocks: Analyses of synthetic and laboratory rock block experiments

“…For the characterization of unconsolidated porous media, Zhao et al (2016), Illman (2017, 2018) and Luo et al (2017) showed the potential for improving HT results through the integration of geological data. In particular, both correct and incorrect geologic information were included as prior information for the HT analysis.…”

Natural Stimuli Calibration with Fining Direction Regularization in an Integrated Hydrologic Model

“…Additionally, this calibration approach overcomes some of the critiques commonly faced by traditional model calibration strategies. For example, when calibrating a numerical model using simplified or aggre-gated deterministic zones to represent highly heterogeneous media (e.g., traditional geological model approach), the reduced parameter set reduces the computational load for calibration; however, it can also lead to unrealistic parametric compensation if the geological model does not adequately capture the salient subsurface features (i.e., key hydrostratigraphic features that control groundwater flow) (e.g., Berg and Illman 2015;Luo et al 2017). The fact that it was possible to calibrate all three cases with similar statistical performance highlights the uncertainty and nonuniqueness modelers face when attempting to calibrate models.…”

Individual and joint inversion of head and flux data by geostatistical hydraulic tomography

“…However, if one uses stochastic methods, one should be able to represent the stochastic nature of the underlying actual aquifer property fields. Furthermore, some authors have included geological data as a priori information to overcome this issue (Luo et al, 2017;Zha et al, 2017;Zhao and Illman, 2018). Another limitation appears in applying hydraulic tomography in high conductivity aquifers as hydraulic tests lead to small drawdown values, implying high relative uncertainty of the measured head perturbations and correspondingly low signal-to-noise ratio data.…”