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Abstract
Analysers for Xray radiometric testing (XRRT) are graded by comparing the results with traditional geological testing (GT). This timeconsuming operation involves the collection of several hundred tests and their subsequent analysis in the laboratory. The "selection" of the regression equation coefficients between the XRRT and GT data is complicated by a large range of metal contents and extremely uneven its distribution in the ore zones. For these reasons, the standard deviations between the testing methods are large and vary widely depending on the metal content. To increase the accuracy of regression parameter estimates, it is necessary to enlarge the control sampling. Such method raises the cost of testing and reduces its efficiency at variability of textural and structural features of ores. 270 slime tests of drilling and blasting wells of silver deposit Dukat are used for the analysis. The silver content in the tests according to the assay analysis was from 20 to 10 000 and more g/t. The differences between the main and repeated GT in the intervals of silver content 50239, 240999, 1000 g/t and more were 76, 175 and 651 g/t, respectively. Estimates of the regression equation between the two methods of testing with the help of two algorithms are compared. In the first, the loss function determined by the sum squares residuals (values deviations of the dependent variable from the regression line), in the secondthe sum of the absolute values of the residuals normalized by the sum of the values of the dependent and independent variables. As a result, it is shown that in the first case, in order to improve the accuracy of coefficient estimates, it is necessary to exclude observations in which the absolute value of the residuals normalized by their standard deviation exceeds the critical level of 57. The second method is resistant to sampling and the number of observations can be reduced by 23 times. Under these conditions, the error of coefficient estimates is close.
Original language  English 

Article number  032073 
Journal  IOP Conference Series: Earth and Environmental Science 
Volume  459 
Issue number  3 
DOIs  
Publication status  Published  14 Apr 2020 
Event  2019 International Science and Technology Conference on Earth Science, ISTCEarthScience 2019  Russky Island Duration: 10 Dec 2019 → 12 Dec 2019 
Scopus subject areas
 Environmental Science(all)
 Earth and Planetary Sciences(all)
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 1 выступление с приглашенным докладом/лекцией

2019 INTERNATIONAL SCIENCE AND TECHNOLOGY CONFERENCE ON EARTH SCIENCE, ISTCEARTHSCIENCE 2019 Russky Island, 1012 декабря 2019 г. Ivanyukovich G.A., Malafeyev O.A., Redinskikh N.D., Shulga A.A., Zaitseva I.V., Pichugin Y.A. Estimation of the regression equation parameters XRay radiometric and geological testing on the deposits of rare and precious metals(секционный доклад)
Олег Алексеевич Малафеев (Speaker), Георгий Александрович Иванюкович (Speaker), Надежда Дмитриевна Рединских (Speaker), А.А. Шульга (Speaker), И.В. Зайцева (Speaker) & Ю.А. Пичугин (Speaker)
10 Dec 2019Activity