• PRCI PR-218-064502
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PRCI PR-218-064502

  • Survey and Interpretive Review of Operator Practices for Damage Prevention
  • Report / Survey by Pipeline Research Council International, 04/27/2007
  • Publisher: PRCI

$48.00$95.00


L52274e

Kiefner & Associates, Inc.

Need: Pipeline incident data show that about 22 percent of the pipeline incidents reported to the DOT for the period from 1995 through 2003 was caused by excavation damage. Only incidents from all forms of corrosion account for a higher proportion of the incidents, and the corrosion proportion is around 24 percent.

Result: Presented in this report are the results of a survey and interpretive review of pipeline operator practices for the prevention of damage to pipelines from mechanical excavating equipment. Mechanical damage is a leading cause of pipeline release incidents, and both the pipeline industry and the U.S. Department of Transportation (DOT) are expending significant efforts to reduce the numbers of such incidents. A great deal of work has been done by the industry and others to institute better excavation practices and to develop and employ advance warning systems to prevent damage. A recent joint industry-DOT project has produced a compendium of practices and technologies for preventing damage to pipelines. The work described herein represents a follow-on effort to determine how effective these practices and technologies have been with respect to preventing damage.

Benefit: The project was aimed at determining which techniques are effective, which are not effective, and which would be worth further investigation. This was determined from the experiences of PRCI member companies. The project began with interviews with subject matter experts at six PRCI member companies. On the basis of the interviews a seven-part questionnaire was developed that was sent to each of the 34 companies that have a representative on the PRCI board and one that did not. Twenty-one companies provided a response. The information was screened so that no individual operator can be identified from the data.

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