The non-static effect of near-surface inhomogeneity on CSAMT data

• Published in: Journal of applied geophysics Vol. 139; pp. 306 - 315
• Main Authors: Lei, Da, Fayemi, Busayo, Yang, Liangyong, Meng, Xiaohong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2017
• Subjects: CSAMT; Inversion; Near-surface effect; Static correction; Static effect; Near-surface effect; Inversion; Static effect; CSAMT; Static correction
• ISSN: 0926-9851; 1879-1859
• DOI: 10.1016/j.jappgeo.2017.03.003

Controlled source audio-frequency magnetotelluric (CSAMT) method has several advantages over magnetotelluric (MT) method, which includes the recording of lower noise signal and higher resolution data. However, CSAMT field data can still be distorted by the effect of near surface inhomogeneous body. It may be confused with static effect just like in MT, if three-dimensional subsurface geological body is buried under the receiver. Traditionally, the method used in static correction is adopted similar to that used in MT method for many years. In comparison, MT are the natural electric and magnetic fields in the frequency range of 0.0001Hz to 500Hz, while CSAMT fields are applied at frequencies ranging from 0.1 to 10kHz. Hence, in this paper, the non-static effect of near-surface inhomogeneity in CSAMT was simulated through theoretical modeling and we summarized its characteristics. If the skin depth is much larger than the size of the near-surface inhomogeneous body that is close to the measurement point, the anomalous body causes a static effect which is represented by vertical shift in apparent resistivity curves for all frequencies from their expected values, but when the skin depth is much smaller than the size of the near-surface inhomogeneous body in the vicinity of the measurement point, the apparent resistivity curve at high frequencies remains unchanged, while at lower frequencies shift in value is observed. The near-surface effect may be confused with static effect in data processing; however, it cannot be corrected using previous static correction methods, but by using the two-dimensional inversion method. Hence, for such CSAMT data, both effective processing technique and inversion process is of great significance.