High Resolution Electromagnetic Imaging and Decision Support for Pipeline Life Management

In this study, JENTEK® Sensors, Inc. has successfully adapted the MWM-Array® technology for the detection and mapping of stress corrosion crack (SCC) clusters in oil and gas transmission pipelines. Results indicate that meandering winding magnetometer (MWM)-Array measurements compare favorably with magnetic particle inspection (MPI), which is the industry standard method for characterizing SCC. The MWM-Array technology is expected to offer enhanced capabilities over MPI in inspection speed, data analysis, data archiving, and cost. This Phase I Small Business Innovative Research (SBIR) has had unusual success, considering the short duration of the program. Within the Phase I time period, JENTEK and their subcontractor RTD Quality Services, Inc. have secured funding from three major oil pipeline operators to validate the MWM-Array performance for transition of SCC mapping capability to the field this year. Major accomplishments of this Phase I effort include: Demonstration of enhanced high resolution mapping of SCC clusters; Detection, imaging and location of SCC colonies through pipeline coatings; Development of a tool for automated length estimation for cracks; Development of a tool for automated evaluation of crack interactions; Development of preliminary methods to suppress sources of false indications; and Demonstration of preliminary capability to provide MWM-Array surface profilometry for physical damage. JENTEK has had substantial success transitioning SBIR funded technology in the aerospace and defense sectors, and they anticipate similar success for the characterization of SCC in pipelines. They have also identified several related applications of interest for which the MWM-Array technology should offer substantial advantages.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Photos; Tables;
  • Pagination: 40p

Subject/Index Terms

Filing Info

  • Accession Number: 01642846
  • Record Type: Publication
  • Contract Numbers: DTRT57-07-C-10005
  • Files: TRIS, ATRI, USDOT
  • Created Date: Jul 24 2017 11:58AM