Title :
Measurement and monitoring techniques for scale deposits in petroleum pipelines
Author :
Gunarathne, G.P.P.
Author_Institution :
Sch. of Electron. & Electr. Eng., Robert Gordon Univ., Aberdeen, UK
Abstract :
Problems of detection and quantification of scale deposits in petroleum pipelines are discussed. Solutions based on novel ultrasonic techniques to extract characteristic features of these deposits from top-side measurements and the use of Artificial Intelligence (AI) techniques are presented. The potential of ultrasonic imaging for pipeline surveys and for monitoring the effectiveness of chemical de-scaling of down-hole pipes are presented
Keywords :
acoustic signal detection; acoustic signal processing; artificial intelligence; curve fitting; feature extraction; frequency-domain analysis; fuzzy neural nets; image classification; image enhancement; image resolution; monitoring; oil technology; petroleum industry; thickness measurement; ultrasonic applications; ultrasonic imaging; AI techniques; characteristic features extraction; chemical de-scaling; curve fitting; dissolution of scales; down-hole pipes; echo location; frequency domain analysis; fuzzy rules; measurement techniques; monitoring techniques; neural network classifier; petroleum pipelines; pipeline surveys; preferential filtering; quantification; scale deposits; scale thickness measurement; signal enhancement; strong reverberating signals; synthetic A-scan; top-side measurements; ultrasonic imaging; ultrasonic techniques; Acoustic reflection; Area measurement; Chemical products; Monitoring; Petroleum; Pipelines; Production; Surface impedance; Ultrasonic imaging; Ultrasonic variables measurement;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-3747-6
DOI :
10.1109/IMTC.1997.610200
