MFL intelligent pigs are widely applied for pipeline inline inspection because of possibility of complete pipe and weld coverage. Such types of pipeline defects as pitting corrosion and transverse weld seams cracks can be detected and estimated only y MFL pigs. At the same time MFL remains an indirect method of defects estimation with a lot of influence factors, which obviously decrease estimation accuracy. Nevertheless using of a priori information of typical defects and sections particularities enables appreciable increasing of estimations reliability. Introduced subclasses of metal loss defects enable to increase accuracy of field inverse problem solution within limited training sample. At the same time it proves to be possible to apply achieved training results to the pipes with a wide variety of their diameters and wall thickness. Some other problem concerns evaluation of real corrosion agglomeration especially within automated inspection data processing.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Practice of inline pipeline inspection with MIDSCAN intelligent pigs


    Additional title:

    Praxis der Inline-Pipelineprüfung mit dem intelligenten MIDSCAN-Prüfmolch


    Contributors:


    Publication date :

    2008


    Size :

    5 Seiten, 4 Bilder, 2 Quellen


    Remarks:

    (nicht paginiert)


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




    Pigs' innovative instrumentation lowers pipeline inspection costs

    Russell, David / Smith, George H. | Tema Archive | 2004



    Development of `Smart Pigs' for Transmission Gas Pipeline Inspection

    Lord, W. / Udpa, L. / Udpa, S. | British Library Conference Proceedings | 1999


    Inline Turbine Blade Inspection

    Neuhäusler, S. | TIBKAT | 2008


    Inline inspection of a newly constructed 40" crude oil pipeline in Ukraine

    Graaf, J. van der / Mielke, R. | Tema Archive | 2003