Experience in field tuning and operation of a multiphase meter based on neural net characterization of flow conditions

摘要

The paper presents measurements taken with a multiphase flow meter based on neural net methodology at the National Engineering Laboratory and Institute Francais Petrole multiphase test loops and an offshore smart satellite production platform operated by Sarawak Shell Berhad Malaysia. The paper also contains a review of the state of the art of multiphase metering technology and an appraisal of potential sources of error inherent in different technologies. The method provides the basis of a multiphase flow meter which can be used under a wide range of operating conditions in oil and gas production lines by tuning against field references.