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Geostatistical Integration of MT and Borehole Data for RMR Evaluation  

Oh, Seok-Hoon (KOWACO/KIWE, Dam Safety Research Center)
Chung, Ho-Joon (Human & Earth Inc.)
Lee, Duk-Kee (Earthquake Res., Lab., METRI/KMA)
Publication Information
Geophysics and Geophysical Exploration / v.7, no.2, 2004 , pp. 121-129 More about this Journal
Abstract
The geostatistical approach was applied to integrate MT (Magneto-telluric) resistivity data and borehole information for the spatial RMR (Rock Mass Rating) evaluation. Generally, resistivity of the subsurface is believed to be positively related to the RMR, thus the resistivity and borehole RMR information was combined in a geostatistical approach. To relate the two different sets of data, we take the MT resistivity data as secondary information and estimate the RMR mean values at unsampled points by identification of the resistivity to the borehole data. Two types of approach are performed for the estimation of RMR mean values. Then the residuals of the RMR values around the borehole sites are geostatistically modeled to infer the spatial structure of difference between real RMR values and estimated mean values. Finally, this geostatistical estimation is added to the previous means. The result applied to a real situation shows prominent improvements to reflect the subsurface structure and spatial resolution of RMR information.
Keywords
RMR; Resistivity; Geostatistical estimation; Residual RMR values;
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