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PR-335-203810-R01 Review of Xray Computed Tomography Performance
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X-Ray Computed Tomography (XRCT) has been utilized for decades in medical and industrial imaging applications. The technology uses penetrating X-ray radiation to image the internal structure of an object by measuring attenuation along multiple transmission paths through the object. XRCT is a promising technology for application in imaging and sizing of flaws in oil and gas transmission pipelines and has been used in such applications in the past. However, the performance of the technology in this specific application to flaw sizing in oil and gas pipelines has not been fully evaluated. The purpose of this report is to provide a complete statistical analysis of the flaw sizing error of XRCT by consolidating flaw sizing information from past projects where both XRCT data and cross-sectional micrographs were available for comparison. Sizing error data were evaluated as a whole and as segments in order to determine overall sizing performance and per-flaw-type/per-measurement-type sizing performance, respectively
Title: PR-335-203810-R01 Review of Xray Computed Tomography Performance
Description:
X-Ray Computed Tomography (XRCT) has been utilized for decades in medical and industrial imaging applications.
The technology uses penetrating X-ray radiation to image the internal structure of an object by measuring attenuation along multiple transmission paths through the object.
XRCT is a promising technology for application in imaging and sizing of flaws in oil and gas transmission pipelines and has been used in such applications in the past.
However, the performance of the technology in this specific application to flaw sizing in oil and gas pipelines has not been fully evaluated.
The purpose of this report is to provide a complete statistical analysis of the flaw sizing error of XRCT by consolidating flaw sizing information from past projects where both XRCT data and cross-sectional micrographs were available for comparison.
Sizing error data were evaluated as a whole and as segments in order to determine overall sizing performance and per-flaw-type/per-measurement-type sizing performance, respectively.
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