Gazprom International: The Practical Experience Of Using Machine Learning Algorithms To Optimize Well Construction Timing by Renat Dzhafarov
The presentation made by Renat Dzhafarov, Specialist of Drilling Division, Gazprom International at the 1st Combined RDCR&KDR Virtual Well Engineering Forum on the 4th of Dec 2020 is available below.
The presentation discussed the “Role of machine learning in reduction of both non-productive time (NPT) and invisible lost time (ILT). Results of machine learning algorithm applications for drilling complications identification on а project in Bangladesh. Calculation of time savings potential and formulation of recommendations to achieve maximum possible ROP in the North Sea and Republic of Uzbekistan.”
