Hanieh Mardomi; Mir Sattar Meshinchi Asl; Hamid Reza Siahkoohi
Abstract
Magnetotellurics is an exploration method which is based on measurement of natural electric and magnetic fields of the Earth and is increasingly used in geological applications, petroleum industry, geothermal sources detection and crust and lithosphere studies. In this work, discrete wavelet transform ...
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Magnetotellurics is an exploration method which is based on measurement of natural electric and magnetic fields of the Earth and is increasingly used in geological applications, petroleum industry, geothermal sources detection and crust and lithosphere studies. In this work, discrete wavelet transform of magnetotelluric signals was performed. Discrete wavelet transform decomposes signals into coefficients in multi-scales. Noise and signal portions are separable in multi-scale mode. Therefore, noise can be discarded in each scale; a threshold value is constructed dependent to coefficients of the scale then, the noise coefficients are discarded by thresholding the coefficients with the proper values. Proportional threshold values can be used to remove white and 1/f noise from time series. After that, a new signal is constructed using clean coefficients. This method is widely used in various fields of sciences from image processing to seismic studies. This work tried to show the effectiveness of this technique in decreasing pervasive noise from magnetotelluric signals. The results emphasized the advantageous effect of wavelet techniques in magnetotelluric data noise removing process.
H Mardomi; B Oskooi
Abstract
During this project we tried to show high capability of the SIS scheme for 1D magnetotelluric (MT) sounding data inversion. The scheme transforms the nonlinear problem of estimating layer resistivities and thicknesses into a linear problem of estimating the coefficients of power series of the new response ...
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During this project we tried to show high capability of the SIS scheme for 1D magnetotelluric (MT) sounding data inversion. The scheme transforms the nonlinear problem of estimating layer resistivities and thicknesses into a linear problem of estimating the coefficients of power series of the new response function. We have used this scheme for prospecting conductive structures in southeastern shore of the Caspian Sea. This area is located in the GolestanProvince in northeastern part of Iran at the border with Turkmenistan. Detecting conductive sediments in this area, which are supposed to bear iodine is economically of interest. We provided data from three MT sites and inverted the data by the SIS scheme. According to our results there is a conductive layer in the depths deeper than 600 m at all three sites. We have compared our results with the previous results, also compared the results with the geological witnesses, which accordingly existence of a conductive layer has been proved at about 700 m depth. This conductive layer is proposed to bear iodine in economic meanings.
B. Oskooi; G.A. Fanaee-Kheirabad
Abstract
Geothermal energy is playing a large role as an alternative energy source for both electricity generation and space heating. Sabalan is a high temperature geothermal region in Ardabil province northwestern of Iran. In this study the conductivity structure of the top crust (depth lower than 2 kilometers) ...
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Geothermal energy is playing a large role as an alternative energy source for both electricity generation and space heating. Sabalan is a high temperature geothermal region in Ardabil province northwestern of Iran. In this study the conductivity structure of the top crust (depth lower than 2 kilometers) is examined using data from collected 212 magnetotelluric (MT) and time-domain electromagnetic (TDEM) soundings across the Sabalan volcano in 1998. The MT data collected between 1-8192 Hz is of useful quality and provides good control on the surface layers in majority of sites. The MT data were corrected for static shift effect using TDEM data. The TDEM data and MT data were jointly inverted to yield 1D and 2D models. In practice for geothermal investigation, measured MT data are never entirely 1D and diagonal elements of the impedance tensor are always non-zero. However, in many cases the Earth response is dominated by an overall 2D structure, permitting data analysis within these lower dimensions. In this study, in order to have the best possible interpretation we used two modes MT data in 2D inversion. Static shift correction and inversion approach accomplished by using WinGlink software. We choose three intersect profiles with 54 MT sites along with, to show resistivity distribution around Sabalan and try to predict the main intrusive magma chamber position as the heat source of the system. MT resistivity images confirmed the findings of previous surveys and the reported geological features in the Sabalan field. To have a better view about resistivity distribution, we combine the 2D models at the intersection points to obtain a 2.5D view about the resistivity in the area. The resulting models reveal the extension of the high conductivity anomalies in the western and southwestern parts of the area that most probably is related to the main heat source of the geothermal system at shallow depths.
