scholarly journals Self-Potential signals produced by pumping test of heterogeneous aquifer

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.

2014 ◽  
Vol 50 (4) ◽  
pp. 3502-3522 ◽  
Author(s):  
A. Soueid Ahmed ◽  
A. Jardani ◽  
A. Revil ◽  
J. P. Dupont

2018 ◽  
Vol 49 (3) ◽  
pp. 299-308 ◽  
Author(s):  
Keisuke Inoue ◽  
Hiroomi Nakazato ◽  
Tomijiro Kubota ◽  
Koji Furue ◽  
Hiroshi Yoshisako ◽  
...  

2010 ◽  
Vol 14 (5) ◽  
pp. 699-707 ◽  
Author(s):  
Eun-Soo Hong ◽  
Eui-Seob Park ◽  
Hee-Soon Shin ◽  
Hyung-Mok Kim

2010 ◽  
Vol 36 (10) ◽  
pp. 1224-1235 ◽  
Author(s):  
Haiyan Zhou ◽  
Liangping Li ◽  
J. Jaime Gómez-Hernández

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
T. Sumiyoshi ◽  
Y. Higuchi ◽  
T. Itoh ◽  
M. Matsui ◽  
H. Arai ◽  
...  

The purpose of this study was to determine if perospirone, a second generation antipsychotic drug and partial agonist at serotonin-5-HT1A receptors, enhances electrophysiological activity, such as event-related potentials (ERPs), in frontal brain regions, as well as cognitive function in subjects with schizophrenia. P300 current source images were obtained by means of standardized low resolution brain electromagnetic tomography (sLORETA) before and after treatment with perospirone for 6 months. Perospirone significantly increased P300 current source density in the left superior frontal gyrus, and improved positive symptoms and performance on the script tasks, a measure of verbal social cognition. Perospirone also tended to enhance verbal learning memory in patients with schizophrenia. There was a significant correlation between the changes in P300 amplitudes on the left frontal lead and those in social cognition. These results suggest the changes in three-dimensional distribution of cortical activity, as demonstrated by sLORETA, may mediate some of the actions of antipsychotic drugs. the distinct cognition-enhancing profile of perospirone may be related to its actions on 5-HT1A receptors.


2021 ◽  
Author(s):  
Xixiong Guo ◽  
Jun Cao

This study is aimed at developing a novel computational framework that can essentially simulate a tornadic wind field and investigate the wind loadings on ground constructions. It is well known that tornado is a highly turbulent airflow that simultaneously translates, rotates and updrafts with a high speed. Tornadoes induce a significantly elevated level of wind forces if compared to a straight-line wind. A suitably designed building for a straight-line wind would fail to survive when exposed to a tornadic-like wind of the same wind speed. It is necessary to design buildings that are more resistant to tornadoes. Since the study of tornado dynamics relying on field observations and laboratory experiments is usually expensive, restrictive, and time-consuming, computer simulation mainly via the large eddy simulation (LES) method has become a more attractive research direction in shedding light on the intricate characteristics of a tornadic wind field. For numerical simulation of a tornado-building interaction scenario, it looks quite challenging to seek a set of physically-rational and meanwhile computationally-practical boundary conditions to accompany traditional CFD approaches; however, little literature can be found, as of today, in three-dimensional (3D) computational tornado dynamics study. Inspired by the development of the immersed boundary (IB) method, this study employed a re-tailored Rankine-combined vortex model (RCVM) that applies the “relative motion” principle to the translational component of tornado, such that the building is viewed as “virtually” translating towards a “pinned” rotational flow that remains time-invariant at the far field region. This revision renders a steady-state kinematic condition applicable to the outer boundary of a large tornado simulation domain, successfully circumventing the boundary condition updating process that the original RCVM would have to suffer, and tremendously accelerating the computation. Wind loading and its influence factors are comprehensively investigated and analyzed both on a single building and on a multiple-building configuration. The relation between the wind loadings and the height and shape of the building is also examined in detail. Knowledge of these loadings may lead to design strategies that can enable ground construction to be more resistant to tornadoes, reducing the losses caused by this type of disastrous weather.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhi Wang ◽  
Sinan Fang

The electromagnetic wave signal from the electromagnetic field source generates induction signals after reaching the target geological body through the underground medium. The time and spatial distribution rules of the artificial or the natural electromagnetic fields are obtained for the exploration of mineral resources of the subsurface and determining the geological structure of the subsurface to solve the geological problems. The goal of electromagnetic data processing is to suppress the noise and improve the signal-to-noise ratio and the inversion of resistivity data. Inversion has always been the focus of research in the field of electromagnetic methods. In this paper, the three-dimensional borehole-surface resistivity method is explored based on the principle of geometric sounding, and the three-dimensional inversion algorithm of the borehole-surface resistivity method in arbitrary surface topography is proposed. The forward simulation and calculation start from the partial differential equation and the boundary conditions of the total potential of the three-dimensional point current source field are satisfied. Then the unstructured tetrahedral grids are used to discretely subdivide the calculation area that can well fit the complex structure of subsurface and undulating surface topography. The accuracy of the numerical solution is low due to the rapid attenuation of the electric field at the point current source and the nearby positions and sharply varying potential gradients. Therefore, the mesh density is defined at the local area, that is, the vicinity of the source electrode and the measuring electrode. The mesh refinement can effectively reduce the influence of the source point and its vicinity and improve the accuracy of the numerical solution. The stiffness matrix is stored with Compressed Row Storage (CSR) format, and the final large linear equations are solved using the Super Symmetric Over Relaxation Preconditioned Conjugate Gradient (SSOR-PCG) method. The quasi-Newton method with limited memory (L_BFGS) is used to optimize the objective function in the inversion calculation, and a double-loop recursive method is used to solve the normal equation obtained at each iteration in order to avoid computing and storing the sensitivity matrix explicitly and reduce the amount of calculation. The comprehensive application of the above methods makes the 3D inversion algorithm efficient, accurate, and stable. The three-dimensional inversion test is performed on the synthetic data of multiple theoretical geoelectric models with topography (a single anomaly model under valley and a single anomaly model under mountain) to verify the effectiveness of the proposed algorithm.


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