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The geological modeling is an actively developing area of petroleum geoscience. One of the limiting factors for geological modeling is the processing of input data, which is a routine process and can be automatized. The paper describes the screening for an effective approach and development of the workflow allowing automatical depth matching of well logs with the use of statistical methods of data analysis basing on the real set of wells. The purpose of this work is to study the machine learning algorithms applica...

When constructing a geological model at the stage of 3D grid building, the problem of vertical layering. When modeling is performed on the area with a large number of wells, the process of cross-well correlation of productive strata turns into a very labor consuming stage. To speed up and increase the reliability of the correlation of well sections, the authors proposed an approach to automate this time-consuming process. This approach is based on the use of machine learning algorithms that can reproduce the nonli...