Abstract
During the field data collection of rock quality, there exist multiple parameter valuation systems that influence the rock quality value. Such parameters are also multiple and vary in each valuation system, and in turn, each parameter is delimited in several degrees of both qualitative and quantitative characteristics.
For example, the RMR76 or RMR89, both consider several parameters such as the resistance of the intact rock, the degree of fracturing, the spacing between discontinuities, the conditions of joints (roughness, opening, persistence, filling, and weathering), and the water content.
Due to all the detailed characteristics to be taken of the rock masses, one comes across inaccuracies or errors in the recording of data by multiple factors. Therefore, it is not possible to arrive at the correct values of the characteristics of the rock mass.
This leads to seeking corrections to all possible errors that can arise from different sources during the process of data acquisition, registration, and consolidation, in greater measure guiding us from the logs and mapping protocols used to acquire the data.
In these errors, we can find problems in transcription, interpretation, perspective, and calculation. The detail of the transcribed characteristics should then be corroborated by a validation method.
Date: Friday, December 6, 09:40 - 10:00 AM, Session 1
Presenter: Sebastian A. Suárez Yallico | Mining Consultant at SRK Peru
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