A robust fuzzy logic-based model for predicting the critical total drawdown in sand production in oil and gas wells.

ABSTRACT: Sand management is essential for enhancing the production in oil and gas reservoirs. The critical total drawdown (CTD) is used as a reliable indicator of the onset of sand production; hence, its accurate prediction is very important. There are many published CTD prediction correlations in literature. However, the accuracy of most of these models is questionable. Therefore, further improvement in CTD prediction is needed for more effective and successful sand control. This article presents a robust and accurate fuzzy logic (FL) model for predicting the CTD. Literature on 23 wells of the North Adriatic Sea was used to develop the model. The used data were split into 70% training sets and 30% testing sets. Trend analysis was conducted to verify that the developed model follows the correct phy

SUBMITTER: Alakbari FS 

PROVIDER: S-EPMC8075206 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature