Output details

Intelligent instrumentation for identification of scales in petroleum pipelines in situ

Pipeline deposits cause huge production losses; pipeline and well damage in oil and gas industry. This is a major problem in production fields worldwide. Remedial treatment requires the knowledge of the type and extent of deposits formed. This is difficult to assess and there are no reliable online monitoring techniques available. This work, initially funded by Keatch Chem, Aberdeen, is a major advancement in developing an on-line monitoring technique for detection, assessment of the extent, and characterisation of the type of deposits formed. It uses ultrasonic signature characterisation with artificial intelligence for classification of deposits.