2016
DOI: 10.1063/1.4940575
|View full text |Cite
|
Sign up to set email alerts
|

Modelling based radiography for NDE of subsea pipelines

Abstract: Abstract. This work presents the use of limited experimental measurements to develop a set of calibrated simulation parameters that can then be used for reliable simulation of subsea pipeline inspections. The modelling software aRTist is used as the simulation tool, and the calibration is through comparison with experimental images of a well characterised sample in a water tank. Image quality parameters such as signal-to-noise ratio, contrast and basic spatial resolution are compared with the aim of matching s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
3
1

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…The related inspection conditions and limits for subsea conditions will differ. This was investigated in [5]. The accuracy of the wall thickness determination depends on the calibration of the software evaluation tool, the detector pixel size and the image unsharpness.…”
Section: Standardized Techniques and Its Limitsmentioning
confidence: 99%
See 1 more Smart Citation
“…The related inspection conditions and limits for subsea conditions will differ. This was investigated in [5]. The accuracy of the wall thickness determination depends on the calibration of the software evaluation tool, the detector pixel size and the image unsharpness.…”
Section: Standardized Techniques and Its Limitsmentioning
confidence: 99%
“…The step pipes were used to perform experiments within air and water [10]. Computer Aided Designs (CAD) were generated and the modelling tool aRTist [3] was optimized for accurate measurements of the step pipes in air and water [5].…”
Section: Limited View Computed Tomographymentioning
confidence: 99%