Главная цель Научно-Технического Центра «Газпром нефти» («Газпромнефть НТЦ»)повышение нефтедобычи и ее эффективности за счет внедрения новых технологий и проектных решений на месторождениях «Газпром нефти».НТЦ обеспечивает аналитическую, методическую и научно-техническую поддержку процессов разведки и добычи нефти.

А method for monitoring wells productivity index dynamics from the moment of its start-ups is proposed. It allows detecting candidates for conducting well tests (WT) and well interventions for the increase of a daily production. The method is based on an integral analysis using pressure maps and well tests. Application of this method on the Salym group of oilfields has allowed concluding about wells stock status, about productivity index dynamics in time, also to make an assumption about the reasons for its change. The analysis showed that productivity index relative changes in horizontal wells lower than in slanted wells.

The article describes new decline curves (DC) forecasting method for project wells. The method is based on the integration of manual grouping of DC and machine learning (ML) algorithms appliance. ML allows finding hidden connections between features and the output. Article includes the decline curves analysis of two well completion types: horizontal and slanted wells, which illustrates that horizontal wells are more effective than slanted.