Assistant professor Shadfar Davoodi at the Skoltech AI Center has developed an approach for optimizing drilling in heterogeneous carbonate reservoirs that simultaneously predicts process characteristics, explains the influence of individual parameters and identifies the most efficient operating regimes. For one of the studied wells, the model estimated a potential increase in the rate of penetration of up to 68.4%.
AI helps identify drilling regimes with a projected potential increase in drilling speed of up to 68%
