Knowing well-operating conditions can help with accurate rate allocation; however, several factors govern well status, such as wellhead or downhole temperature and pressures. In this study, artificial-intelligence (AI) techniques were used to estimate and predict well status using a combination of surface and subsurface parameters in offshore areas. Four machine-learning (ML) algorithms were used to estimate and then predict well‑operating status.
Parameters Affecting Well-Operating Status
The accuracy of predicting well-operating status relies on the appropriate selection of suitable and robust parameters directly related to that status. It is preferable to limit the selection of the parameters to the most important ones to avoid an unnecessary increase in the complexity of the model.
