STATISTICAL MODEL HELPS RATE PIPELINE INSPECTION SENSORS. DEFECT DETECTION--CONCLUSION

Basic statistical decision methods can help determine the performance of pipeline inspection-tool sensors and make comparisons among various sensing technologies. As long as the equipment designer and manufacturer provide appropriate information about the sensor design, the user of in-line inspection systems no longer need guess which methods and hardware to use. This article, the conclusion of a two part series, presents the application of the probability model to the pipeline-inspection process. The theory on which the probability model is based is presented in part one.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00301388
• Corporate Authors:

  PennWell Publishing Company

  1421 South Sheridan, P.O. Box 1260
  Tulsa, OK  United States  74101
• Authors:
  • HAMILTON, J C
• Publication Date: 1989-9-11

Media Info

• Features: Figures;
• Pagination: p. 42-46
• Serial:
  • Oil and Gas Journal
  • Volume: 87
  • Issue Number: 37
  • Publisher: PennWell Publishing Company
  • ISSN: 0030-1388

Subject/Index Terms

• TRT Terms: Defects; Detection and identification; Detectors; Inspection; Mathematical models; Performance; Pipelines; Probability theory; Sensors; Statistical analysis
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Pipelines; Terminals and Facilities;

Filing Info

• Accession Number: 00488284
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 30 1990 12:00AM