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pro vyhledávání: '"S. А. Shmidt"'
Autor:
V. Yu. Klimov, S. А. Shmidt, I. Ya. Edelman, S.I. Gabitova, D. V. Shuvaev, L. A. Davletbakova
Publikováno v:
PROneft’. Proffessional’no o nefti. 6:33-38
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
Autor:
S.I. Gabitova, L. A. Davletbakova, I. Ya. Edelman, V. Yu. Klimov, S. А. Shmidt, D. V. Shuvaev
Publikováno v:
Энергия: экономика, техника, экология. :69-74
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