  Purpose of this research is to forecast the development of sand bodies in
productive sediments based on well log data and seismic attributes. The object
of the study is the productive intervals of Achimov sedimentary complex in the
part of oil field located in Western Siberia. The research shows a
technological stack of machine learning algorithms, methods for enriching the
source data with synthetic ones and algorithms for creating new features. The
result was the model of regression relationship between the values of natural
radioactivity of rocks and seismic wave field attributes with an acceptable
prediction quality. Acceptable quality of the forecast is confirmed both by
model cross validation, and by the data obtained following the results of new
well.
