首页|pyCSAMT: An alternative Python toolbox for groundwater exploration using controlled source audio-frequency magnetotelluric
pyCSAMT: An alternative Python toolbox for groundwater exploration using controlled source audio-frequency magnetotelluric
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NSTL
Elsevier
Controlled source audio-frequency magnetotelluric (CSAMT) is one of the frequently used geophysical methods in various exploration problems such as fault mapping and groundwater exploration around 1 km depth. CSAMT is commonly used in combination with other geophysical methods to emphasize underground structures. Although it seems to be a good alternative, such a survey is expensive and requires more logistics which is not profitable for companies with low operating budgets. In addition, despite the combination of the CSAMT method with other geophysical methods, several boreholes drilled for groundwater exploration have failed due to the inaccurate locations to emphasize the fractures zones. Therefore, we developed the Python toolbox for CSAMT to solve this problem. The toolbox encompasses all the standard data processing as well as the modeling and implements a novel approach called pseudostratigraphic to forecast the strata log at each station. The advantage of this technique is twofold. First, it predicts the strata log at each station by demarcating the fracture zone, and secondly, it estimates the layer thicknesses with less margin error useful before the drilling operations. The approach was tested in the Xingning area, Hunan province, China. As a result, the model predicted with the proposed approach is similar to the mechanical borehole drilled after the geophysical survey with thickness errors of less than six meters. Furthermore, the technique would reduce the rate of unsuccessful drilling and be beneficial for geophysical and drilling companies to save money.
NSTL
Elsevier
