Controlled-source electromagnetic data processing based on gray system theory and robust estimation

An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data

“…Particularly, when the SNR is -37.5 dB, this ECI algorithm is still able to keep 3.0% relative error at the primary frequency 160Hz. Previous literature has shown that if the percentages of outliers in impulsive noise exceed 50% , the traditional denoising algorithm will be limited (Liu et al, , 2017. Thus, Synthetic impulsive noise is added to the excitation signal ( ) i t in ten 5 percent steps.…”

“…CC BY 4.0 License. noise suppression algorithms (Neelamani et al, 2008;Liu et al, 2017). SSIP method also faces the same issue (Liu et al, , 2017.…”

“…The field of FDIP denoising has achieved quite good results through the constant research of experts and scholars. There have been many algorithms that can be used to suppress the FDIP random noise (Mo et al, 2017), such as smooth filter (Guo, 2017), Mean stack (Liu, 2015), digital filter (Meng et al, 2015), and robust stacking . The smooth can effectively attenuate Gaussian noise, but the impulsive interference with intense energy leaves the effectiveness of this algorithm limited.…”

Research on cross‐well pseudorandom electromagnetic detection method and extraction of response characteristics

“…[10][11][12] A pseudorandom signal contains several multifrequency signals whose amplitudes are close and whose frequencies are evenly distributed logarithmically, making it an ideal field source for electrical prospecting. [13][14][15][16] Based on the resistivity differences of rocks and minerals, the pseudorandom frequency-domain electromagnetic method can simultaneously measure signals of multiple frequencies and obtain multiple resistivity information of different depths by a single power supply, thus increasing the measuring speed by several times to more than ten times. Compared with other frequency-domain electromagnetic methods, it has the advantages of high speed, high precision, and large detection depth.…”

A modified empirical mode decomposition method for multiperiod time-series detrending and the application in full-waveform induced polarization data

“…Induced polarization (IP;Bleil 1953;Wait 1959;Zonge & Wynn 1975;He1997) is an effective electrical resistivity tomography (ERT) method for non-ferrous metallic mineral exploration (Xi et al 2013;Mary et al 2016;Tavakoli et al 2016) and environmental investigations (Revil et al 2015;Maurya et al 2018;Power et al 2018). Currently, there has been great development of IP in forward modelling (Karaoulis et al 2013;Commer et al 2017;Belliveau & Haber 2018;Qi et al 2019), data acquisition (Eaton et al 2010;Sun et al 2012;Olsson et al 2015;Mo et al 2017), inversion and interpretation (Li & Oldenburg 2000;Fiandaca et al 2018;Kim et al 2018;Soueid et al 2018;Zhdanov et al 2018). However, electromagnetic (EM) interference is still a major limitation that restricts the further application of IP method, for instance, EM coupling, civilization interference, low-frequency trend interference and so on (Peter-Borie et al 2011;Larsen et al 2013;Li et al 2017).…”