Search
Filters
Close

Save 20% on select titles with code HIDDEN24 - Shop The Sale Now

Mapping Indication Severity Using Bayesian Machine Learning From Indirect Inspection Data By Considering The Impact Of Soil Corrosivity

Product Number: 51321-16749-SG
Author: Hui Wang; Sreelakshmi Sreeharan; Homero Castaneda
Publication Date: 2021
$0.00
$20.00
$20.00

This paper provides the industry with a data-driven approach that can characterize the heterogeneity of the soil corrosivity along the pipeline right-of-way by integrating data from soil survey, indirect inspection technologies, in-line inspection, and a slightly broader database of environmental (precipitation and vegetation) data. The outcome is the spatial distribution of different soil corrosivity regions, and the statistical description of the corresponding corrosion factors, corrosion defect depth, and number of defects corresponding to each corrosivity region, which can be used as a basis for excavation schedule and related risk assessment. This proposed approach considers the statistical similarity and spatial variation of soil corrosivity at different locations along the pipeline right-of-way. The proposed method is implemented and demonstrated using a database of a 110km pipeline section.

This paper provides the industry with a data-driven approach that can characterize the heterogeneity of the soil corrosivity along the pipeline right-of-way by integrating data from soil survey, indirect inspection technologies, in-line inspection, and a slightly broader database of environmental (precipitation and vegetation) data. The outcome is the spatial distribution of different soil corrosivity regions, and the statistical description of the corresponding corrosion factors, corrosion defect depth, and number of defects corresponding to each corrosivity region, which can be used as a basis for excavation schedule and related risk assessment. This proposed approach considers the statistical similarity and spatial variation of soil corrosivity at different locations along the pipeline right-of-way. The proposed method is implemented and demonstrated using a database of a 110km pipeline section.

Also Purchased
Picture for 11127 The Correlation of External Corrosion Indirect Assessment with Inline Inspection
Available for download

11127 The Correlation of External Corrosion Indirect Assessment with Inline Inspection for the Crude Oil Pipelines

Product Number: 51300-11127-SG
ISBN: 2011 11127 CP
Author: Hasan Sabri, Saleh Al-Suliman, Eugene D'souza and Amer Jarragh
Publication Date: 2011
$20.00
Picture for 00758 POLYURETHANE AND EPOXY COATINGS FOR THE
Available for download

00758 POLYURETHANE AND EPOXY COATINGS FOR THE REHABILITATION AND REPAIR OF PIPELINES

Product Number: 51300-00758-SG
ISBN: 00758 2000 CP
Author: W.R. Roder, D Norman and R Swinburne,
$20.00
Picture for 00742 A CASE STUDY OF SOLAR MAGNESIUM ANODES USED
Available for download

00742 A CASE STUDY OF SOLAR MAGNESIUM ANODES USED IN HIGH SOIL RESITIVITY ENVIRONMENTS

Product Number: 51300-00742-SG
ISBN: 00742 2000 CP
Author: A. Petrusev, P.Eng., Kevin T. Parker
$20.00