Server maintenance is scheduled for Saturday, December 21st between 6am-10am CST.

During that time, parts of our website will be affected until maintenance is completed. Thank you for your patience.

Menu
Search
Filters
Close
Menu

Use GIVING24 at checkout to save 20% on eCourses and books (some exclusions apply)!

Products tagged with 'big data'

View as
Sort by
Display per page
Picture for 51318-11267-Big Data Analysis using Bayesian Network Modeling: A Case Study with WG-ICDA of a Gas Storage Field
Available for download

51318-11267-Big Data Analysis using Bayesian Network Modeling: A Case Study with WG-ICDA of a Gas Storage Field

Product Number: 51318-11267-SG
Author: Kyle Hilgefort
Publication Date: 2018
$20.00

Bayesian network modeling was explored as a solution to the challenge of effective use of large datasets, due to its ability to analyze complex cause-effect relationships while considering the variability and uncertainty in the data.
Picture for Applying Machine Learning Techniques To Identify And Predict Behavior Of Rectifier And Groundbed State Change
Available for download

Applying Machine Learning Techniques To Identify And Predict Behavior Of Rectifier And Groundbed State Change

Product Number: 51322-17833-SG
Author: Matt Barrett, Will Maize, Tony da Costa
Publication Date: 2022
$20.00

Impressed current rectifiers are the backbone of a pipeline operator’s cathodic protection (CP) systems. A rectifier’s ability to protect a large length of electrically continuous pipeline considerably improves efficiencies and reduces material costs as compared to galvanic systems. However, like galvanic anodes, impressed current anodes are a consumable asset, and require replacement at the end of their service life to ensure that the rectifier can continue to adequately protect the pipeline.
Picture for Improving Cathodic Protection Pipeline Integrity Monitoring Data in the Time of IIoT and Big Data
Available for download

Improving Cathodic Protection Pipeline Integrity Monitoring Data in the Time of IIoT and Big Data

Product Number: 51321-16259-SG
Author: Tony da Costa; Matt Barrett
Publication Date: 2021
$20.00
Picture for Upstream Digital Transformation Through Corrosion, Erosion, and Sand Monitoring
Available for download

Upstream Digital Transformation Through Corrosion, Erosion, and Sand Monitoring

Product Number: 51321-16410-SG
Author: Ivan Ruiz Stubelj/Attila Gajdacsi
Publication Date: 2021
$20.00
Categories
Industry
Popular tags
View all

Association for Materials Protection and Performance

© AMPP All Rights Reserved.
Membership Terms of Content Use
Contact Customer Support