Blockage Detection in Pipeline Networks for Gas and Oil

This paper proposes a technique for the preliminary identification of pipes obstructed by blockages within a pipeline or a complex pipe network, relying only upon few measurements that are usually gathered to monitor the infrastructure operability. Blockages are identified as a result of an optimization procedure that minimizes the discrepancy between measured and simulated flow quantities. The framework exploits a Finite Element-like simulator of the flow problem in the system of pipes and Genetic Algorithms to perform the optimization procedure. Thermal properties of the fluid flowing inside the pipe system are considered. Results of the identification procedure are presented, and advantages and disadvantages of the procedure for the on-field implementation are outlined.

• Record URL:
  https://doi.org/10.1061/9780784413654.068
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413654
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Bocchini, Paolo
  • Marzani, Alessandro
  • Karamlou, Aman
• Conference:
  • Shale Energy Engineering Conference 2014
  • Location: Pittsburgh Pennsylvania, United States
  • Date: 2014-7-21 to 2014-7-23
• Publication Date: 2014-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 676-683
• Monograph Title: Shale Energy Engineering 2014: Technical Challenges, Environmental Issues, and Public Policy

Subject/Index Terms

• TRT Terms: Detection and identification; Finite element method; Flow; Flow measurement; Genetic algorithms; Numerical analysis; Pipelines; Steady state
• Uncontrolled Terms: Blockage; Obstructions; Pipe blockage
• Subject Areas: Pipelines; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01535269
• Record Type: Publication
• ISBN: 9780784413654
• Files: TRIS, ASCE
• Created Date: Aug 27 2014 10:44AM