Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis-Reference-Cited by-同舟云学术

Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis

Published:2014-06 Issue:6 Volume:140 Page:04014013
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

El-Abbasy Mohammed S.¹,Senouci Ahmed²,Zayed Tarek³,Mirahadi Farid⁴,Parvizsedghy Laya⁵

Affiliation:

1. Ph.D. Candidate, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8 (corresponding author).

2. Associate Professor, Dept. of Civil and Environmental Engineering, Qatar Univ., P.O. Box 2713, Doha, Qatar.

3. Professor, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8.

4. Graduate Student, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8.

5. Ph.D. Candidate, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0000838

Reference25 articles.

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2. Reliability estimation of pressurised pipelines subject to localised corrosion defects

3. Condition Rating Model for Underground Infrastructure Sustainable Water Mains

4. Accident occurrance evaluation in the pipeline transport dangerous goods;Bersani C.;Chem. Eng. Trans.,2010

5. Davis P. M. Dubois J. Gambardella F. and Uhlig F. (2010). “Performance of European cross-country oil pipelines: Statistical summary of reported spillages in 2008 and since 1971.” CONCAWE Brussels Belgium.

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