Estimating aquifer location using deep neural network with electrical impedance tomography
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초록
Groundwater is essential source of the freshwater. Groundwater is stored in the body of the rocks or sediments,called aquifer. Finding an aquifer is a very important part of the geophysical survey. The best method to find theaquifer is to make a borehole. Single borehole is not a suitable method if the aquifer is not located in the boreholedrilled area. To overcome this problem, a cross borehole method is used. Using a cross borehole method, we canestimate aquifer location more precisely. Electrical impedance tomography is use to estimate the aquifer locationinside the subsurface using the cross borehole method. Electrodes are placed inside each boreholes and areabetween these boreholes are analysed. An aquifer is a non-uniform structure with complex shape which canrepresented by the truncated Fourier series. Deep neural network is evaluated as an inverse problem solver forestimating the aquifer boundary coefficients.
Abstract
Groundwater is essential source of the freshwater. Groundwater is stored in the body of the rocks or sediments,called aquifer. Finding an aquifer is a very important part of the geophysical survey. The best method to find theaquifer is to make a borehole. Single borehole is not a suitable method if the aquifer is not located in the boreholedrilled area. To overcome this problem, a cross borehole method is used. Using a cross borehole method, we canestimate aquifer location more precisely. Electrical impedance tomography is use to estimate the aquifer locationinside the subsurface using the cross borehole method. Electrodes are placed inside each boreholes and areabetween these boreholes are analysed. An aquifer is a non-uniform structure with complex shape which canrepresented by the truncated Fourier series. Deep neural network is evaluated as an inverse problem solver forestimating the aquifer boundary coefficients.
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