None

A regularization technique for quantitative imaging of corrosion in pipelines

Authors: Min Lin (University of Wyoming) , Casey Smith (University of Wyoming) , Jing Rao (Nanyang Technological University) , Zheng Fan (Nanyang Technological University) , Yang Liu (University of Wyoming; Schlumberger-Doll Research)

  • A regularization technique for quantitative imaging of corrosion in pipelines

    None

    A regularization technique for quantitative imaging of corrosion in pipelines

    Authors: , , , ,

Abstract

Corrosion is a major economic and safety issue in the oil and gas industry. Oil and gas pipelines have severe corrosion problems, which cost the industry billions of dollars per year. Guided wave tomography (GWI) provides great prospects to estimate the remaining thickness of corrosion structures. A quantitative corrosion imaging method is presented for pipeline structures, which is not only able to locate the position of corrosion damage precisely but also determine the depth profile. The reconstruction of the thickness map can be obtained by using the dispersion characteristics of ultrasonic guided waves and the algorithm based on full waveform inversion (FWI). A limited view regularization technique is applied to the limited view problems. Two transducer arrays are arranged on each side of the detection area, thus limiting the viewing angles. The missing angles cause artifacts and reduced the tomography quality. Both FEA numerical simulations and experiments are conducted on one regularly shaped defect and two irregularly shaped defects. FWI with limited view regularization shows accurate predictions of corrosion position and depth profile.

How to Cite:

Lin, M., Smith, C., Rao, J., Fan, Z. & Liu, Y., (2019) “A regularization technique for quantitative imaging of corrosion in pipelines”, Review of Progress in Quantitative Nondestructive Evaluation .

Downloads:
Download PDF

122 Views

90 Downloads

Published on
04 Dec 2019
Peer Reviewed
License