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    Consequence of Failure: Neurofuzzy-Based Prediction Model for Gas Pipelines 

    Source: Journal of Performance of Constructed Facilities:;2016:;Volume ( 030 ):;issue: 004
    Author(s): Laya Parvizsedghy; Tarek Zayed
    Publisher: American Society of Civil Engineers
    Abstract: Overall performance of energy infrastructure in the United States has been assessed as D+. More than 65% of America’s energy is transported through the oil and gas pipelines, which have experienced more than 10,000 failures ...
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    Unpiggable Oil and Gas Pipeline Condition Forecasting Models 

    Source: Journal of Performance of Constructed Facilities:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Mohammed S. El-Abbasy; Ahmed Senouci; Tarek Zayed; Laya Parvizsedghy; Farid Mirahadi
    Publisher: American Society of Civil Engineers
    Abstract: Although they are the safest method of transporting oil and gas, pipelines are still subject to different degrees of failure and degradation. It is therefore important to efficiently monitor oil and gas pipelines to optimize ...
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    Reliability Assessment Model for Water Distribution Networks 

    Source: Journal of Pipeline Systems Engineering and Practice:;2020:;Volume ( 011 ):;issue: 002
    Author(s): Mohammed Alsharqawi; Tarek Zayed; Laya Parvizsedghy; Ahmed Senouci; Hassan Al-Derham
    Publisher: ASCE
    Abstract: The aging water distribution networks in the US are approaching the end of their useful life, and more than 240,000 pipeline breaks are estimated to occur every year, which corresponds to an average of 25 breaks (or ...
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    Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis 

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 006
    Author(s): Mohammed S. El-Abbasy; Ahmed Senouci; Tarek Zayed; Farid Mirahadi; Laya Parvizsedghy
    Publisher: American Society of Civil Engineers
    Abstract: Although they are the safest means of transporting oil and gas products, pipelines can sometimes fail with hazardous consequences and large business losses. The decision to replace, repair, or rehabilitate depends mainly ...
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