S U M M A R Y A new robust magnetotelluric (MT) data processing algorithm is described, involving Siegel estimation on the basis of a repeated median (RM) algorithm for maximum protection against the influence of outliers and large errors. The spectral transformation is performed by means of a fast Fourier transformation followed by segment coherence sorting. To remove outliers and gaps in the ...

magnetotelluric (mt) method is an electromagnetic method which provides information about subsurface conductivity structures using earth's natural electromagnetic fields. static shift is one of disorders arising from shallow conductors; therefore static shift must be corrected as one of mt data processing steps. in the absence of sufficient information about the near surface distortions, w...

The contribution discusses variants of architectures of hybrid MT systems. The three main types of architectures are: coupling of systems (serial or parallel), architecture adaptations (integrating novel components into SMT or RMT architectures, either by pre/post-editing, or by system core modifications), and genuine hybrid systems, combining components of different paradigms. The interest is ...

since hydrocarbon sources have an important role in development of industry and technology, exploration of them has been lionized by human. the seismic reflection method is one of the most applicable investigative methods to identify the hydrocarbon reservoirs, but in some cases this method does not work well because of geology conditions and wave attenuation in depth. thus, some exploration me...

the purpose of this study is to correct the static shift of magnetotelluric (mt) data in one of the oil fields located in southwest of iran using time domain electromagnetic (tem or tdem) data. acquisition of the mt data has been made in the same area as the tem data was acquired at the frequency range of 0.0005-320 hertz. . a major problem in the mt method that occurs due to distribution of su...

The noise suppression method based on dictionary learning has shown great potential in magnetotelluric (MT) data processing. However, the constraints used existing algorithm’s need to set manually, which significantly limits its application. To solve this problem, we propose a deep optimized denoising method. We use convolutional network learn characteristic parameters of high-quality MT indepe...

a detailed standard magnetotelluric (mt) study was conducted to recognize brine bearing layers in depths of less than 2000 m in the northeast of iran close to the southeastern shore of the caspian sea. long and medium period natural-field mt methods have proved very useful for subsurface mapping purpose by determining the resistivity of the near surface structure. mt data were analyzed and mode...

Introduction. Electromagnetic (EM) sounding has been widely used to reveal earth structure from depths of meters to hundreds of kilometers [e.g. 1-5] and has also probed the deep interiors of the Moon [e.g. 6-9] and the Galilean satellites [10]. The mag-netotelluric method [MT: 11,12] enables natural-source soundings from a single platform, without any external measurements or prior knowledge a...