Comparison of travel-time and geostatistical inversion approaches for
hydraulic tomography: A synthetic modeling study
Abstract
Hydraulic tomography (HT) has been proven to be an effective approach in
mapping the heterogeneity of hydraulic parameters. The travel-time based
inversion (TTI) and geostatistical inversion (GI) approaches are two of
several HT methods. In particular, the GI approach is used to compute
heterogeneous hydraulic conductivity (K) and specific storage
(Ss) tomograms, while the TTI approach yields
diffusivity (D = K/Ss) tomograms. The main
objective of this paper is to evaluate these two methods through a
synthetic study. Two cases are designed based on different monitoring
configurations. Two independent scenarios are designed by: providing the
same data sets and providing all available data for calibration, while
data selection follows recommended strategies utilized by the two
approaches. Then, the estimated tomograms are evaluated by visual
comparison of estimated parameter distributions and assessments of model
calibration and validation results. Results show that the advantages of
TTI are: (1) imaging of structural features representing high D
zones; (2) requirement of less data for inverse modeling; and (3) rapid
computational times. In contrast, the advantages of the GI approach are:
(1) the direct characterization of both K and
Ss distributions; (2) better
drawdown predictions; and (3) a larger estimated area. Our study
suggests that the TTI approach is suitable for rapid, coarse
characterization of heterogeneity that could potentially be utilized for
providing hydrogeological structures for an initial model for the GI
approach. The GI approach, although significantly more computationally
intensive, is more robust and preferable to applications that require
higher accuracy in parameter estimation.