APPLICATION OF THE METHOD OF GROUP ACCOUNTING OF ARGUMENTS FOR THE ANALYSIS OF PETROPHYSICAL DATA

The paper considers a range of tasks related to the processing and analysis petrophysical data, which are effectively solved by method group accounting arguments (MGUA). MGUA is machine learning that an alternative regression neural network modeling. was tested when working with information from database crystalline sedimentary rocks Voronezh Crystal Massif (VCM). basis technology formation complex identification equations allow you generalize, analyze use data. Previously, such for estimating ore content nickel-bearing intrusions mamonsky considered. Examples solving problems robust estimation data provided. It shown models automating procedure detecting outliers in assess belonging certain material complex. Since necessary link geological interpretation geophysical observations, experience obtaining linking density metamorphic intrusive VCM electrical resistivity magnetic susceptibility interesting.