A machine learning-based production prediction method for offshore deep low-permeability to tight reservoirs based on reservoir classification: a case study from the western south China sea

IntroductionDeveloping offshore deep low-permeability to tight reservoirs faces inconsistent success due to ambiguous reservoir classification and inaccurate production evaluation. This study addresses these issues by analyzing oil wells in the western South China Sea.MethodsThe target reservoir was classified into four types using a flow zone indicator method, and permeability conversion models were established accordingly. Using tNavigator, numerical reservoir models were constructed to evalua