Numerical Modelling of Self-Potential Signals Associated with Pumping Test of Heterogeneous Aquifer

Author(s):  
A. Mikhailenko ◽  
P. Konosavsky ◽  
K. Titov
2005 ◽  
Vol 162 (2) ◽  
pp. 641-650 ◽  
Author(s):  
K. Titov ◽  
A. Revil ◽  
P. Konosavsky ◽  
S. Straface ◽  
S. Troisi

Author(s):  
Aleksandra A. Mikhailenko ◽  
◽  
Pavel K. Konosavsky ◽  
Konstantin V. Titov ◽  
◽  
...  

In this paper, we presented results of interpretation of Self-Potential (SP) signals produced by pumping test experiment of heterogeneous aquifer. Heterogeneity is represented by zone with low and high hydraulic conductivity in two types of configuration: planned boundary and strip-layer. We studied five models for each type of heterogeneity with two variants of hydraulic conductivity. We carried out three-dimensional modelling with the use of Modflow (for hydraulic heads and electrical potentials) and ElSources (for current source term). We obtained SP distributions Self-Potential produced by pumping test which indicate heterogeneity. We calculated the values of the anomalous field for a detailed study of the heterogeneties. We found a correlation between SP and drawdown for the case of heterogeneity with low hydraulic conductivity. We defined the both boundaries of the strip clearly for zone with low hydraulic conductivity. The outer boundary of the strip-layer was not fixed due to the high hydraulic conductivity of the heterogeneity and low hydraulic gradient at the boundary. We estimated dependence of horizontal thickness of heterogeneity on SP distribution. The results can serve as a base for defining the heterogeneties in the aquifer.


2004 ◽  
Vol 3 (4) ◽  
pp. 1193-1199 ◽  
Author(s):  
B. Suski ◽  
E. Rizzo ◽  
A. Revil
Keyword(s):  

2017 ◽  
Vol 210 (3) ◽  
pp. 1901-1908
Author(s):  
Pavel Konosavsky ◽  
Alexis Maineult ◽  
Mikhail Narbut ◽  
Konstantin Titov

2015 ◽  
Vol 123 ◽  
pp. 188-193 ◽  
Author(s):  
Konstantin Titov ◽  
Pavel Konosavsky ◽  
Mikhail Narbut

2020 ◽  
Author(s):  
Buse Yetişti ◽  
Nadim K Copty ◽  
Paolo Trinchero ◽  
Xavier Sanchez-Vila

<p>Pumping tests are often used for the estimation of subsurface flow parameters. Research has indicated that traditional geostatistical techniques expressed in terms of two-point correlations (i.e., the covariance of flow parameters at two points is only a function of separation distance) may not be adequate to fully represent complex patterns of flow and transport in heterogeneous subsurface systems. To address this issue, the concept of flow connectivity has been introduced to describe how different regions of the aquifer relate to each other. In this study, the impact of point-to-point flow connectivity on radially convergent flow tests towards a well is investigated numerically. A Monte Carlo approach is adopted whereby a large number of heterogeneous aquifer systems with different levels of connectivity (Gaussian, connected high-transmissivity fields, and connected low-transmissivity fields) are synthetically generated and then used to simulate pumping tests. Various test interpretation methods are then used to estimate apparent flow parameters from the time-drawdown curves, and examine how the estimated parameters relate to the underlying heterogeneous aquifer systems. Results indicate that the estimated transmissivity using only drawdown data corresponding to early times is dominated by the point transmissivity distribution in the vicinity of the well. The estimated transmissivity value gradually approaches the geometric mean of the full transmissivity field as a longer time-drawdown dataset is included in the interpretation. On the other hand, the storage coefficient estimated from late drawdown data is strongly sensitive to aquifer point-to-point flow connectivity and the relative locations of the observation and pumping wells. The relations between the estimated storage coefficient and different aquifer connectivity functions are also examined.</p>


2021 ◽  
Author(s):  
Eric Benner ◽  
Gerard Hamill ◽  
Georgios Etsias ◽  
Thomas Rowan ◽  
Pablo Salinas ◽  
...  

<p>Saltwater intrusion (SWI) in coastal aquifers poses a significant hazard to freshwater security for many of the world’s population centers. SWI is challenging to monitor and model due to the physical complexity of real aquifers. Self-Potential (SP) has been an important method for monitoring the subsurface for many years. Previous studies have suggested that borehole measurements of SP could be used to identify saline interface movement and provide advance warning of imminent saline breakthrough at an abstraction borehole. SP produced during SWI comprises the combined effects of electro-kinetic potential, arising from transport of excess charge in response to water potential (head) gradients, and exclusion-diffusion potential, arising from transport of excess charge in response to ion (salt) concentration gradients. SP can have advantages over other geophysical methods, such as electrical resistivity tomography and borehole fluid electrical conductivity measurements, because the effect of  moving saltwater fronts can be determined using a relatively small number of localized probes.</p><p>We quantitatively investigate the relationship between SP and SWI using experimental and numerical modelling with the aim of reproducing experimentally measured SP response via simulation. Building on well-established methods, a novel laboratory setup has been developed to optically monitor SWI in a thin homogenous aquifer while simultaneously recording SP data at multiple probe points. A Matlab solver is used to calculate SP data from simulated hydrodynamic SWI data computed by the fixed-grid finite element software SUTRA. Similarly, finite element SWI simulations using adaptive meshing are carried out using the IC-FERST software, which directly computes hydrodynamic and SP solutions. We compare these numerical results with experimental data and show similarity in SP signal trends as functions of brine movement near probe locations. We conclude with a discussion of the merits of SP modelling and its suitability for interpreting SP signals for monitoring and characterization of saltwater intrusion in coastal aquifers.</p>


2004 ◽  
Vol 3 (4) ◽  
pp. 1193-1199 ◽  
Author(s):  
B. Suski ◽  
E. Rizzo ◽  
A. Revil
Keyword(s):  

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