Automatization and optimization of geosteering processes at Rosneft company

The presence of a huge database of drilled wells allows using the accumulated experience in order to improve the efficiency of geosteering in the future.A number of processes have been automatizated thanks to certain algorithms for simple tasks, as well as the accumulated experience for more complex ones (based on machine learning). Automatization of processes has led to a significant reduction of time spent by an employee to perform trivial tasks, increasing the speed of decision-making and, as a result, increasing in the efficiency of geosteering. The main achievement is a reduction in the unproductive time of drilling crews waiting for a decision by geologists, which in turn reduced the risks of collapse of the borehole walls, stuck drilling, mud absorption, and other problems arising during well drilling.