Modeling Diffusivity Tests in Heterogeneous Aquifers: A Stochastic First‐Order Approach. Issue 9 (25th August 2020)

• Record Type: Journal Article
• Authors: Cheng, Kan Bun; Dagan, Gedeon; Rabinovich, Avinoam
• Is Part Of: Water resources research. Volume 56:Issue 9(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-08-25
• Subjects: Diffusivity test -- Hydraulic tomography -- Equivalent conductivity -- Heterogeneous aquifers -- Source flow -- Pumping test; Hydrology -- Periodicals; 333.91
• DOI: 10.1029/2020WR027672
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: The diffusivity test considered here consists of injecting (or pumping) a volume of water through short segments of a well for a short time and measuring the travel time of the peak of the head signal at different points in the surrounding aquifer volume. The specific storage is assumed to be constant, while the hydraulic conductivity of the heterogeneous aquifer is modeled as a random lognormal field. The axi‐symmetric anisotropic structure is characterized by a few parameters (logconductivity mean and variance and horizontal and vertical integral scales). The paper determines the mean and variance of the peak travel time as function of distance from an instantaneous source by solving the flow equation using a first‐order approximation in the logconductivity variance. The mean travel time is recast in terms of the equivalent conductivity, which decreases from the harmonic mean near the source to the effective conductivity in uniform flow for a sufficiently large distance. Similarly, the variance drops from its maximum near the source to a small value. Application to field test is discussed and topics of future investigations are suggested. Key Points: Semianalytical solutions of the stochastic equations of source flow for the head and the peak travel time in diffusivity test are derived Mean and variance of peak travel time as a function of distance from source are presented Change of equivalent conductivity with distance is derived and characterized by a robust parameter