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

Volume

2

fYear

1997

fDate

19-21 May 1997

Firstpage

841

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE

Conference_Location

Ottawa, Ont.

ISSN

1091-5281

Print_ISBN

0-7803-3747-6

Type

conf

DOI

10.1109/IMTC.1997.610200

Filename

610200