Save 20% on select titles with code HIDDEN24 - Shop The Sale Now
The objective of this paper is to provide a review of various models and methods that have been developed and applied by both researchers and industry professionals to better understand and predict MIC.
We are unable to complete this action. Please try again at a later time.
If this error continues to occur, please contact AMPP Customer Support for assistance.
Error Message:
Please login to use Standards Credits*
* AMPP Members receive Standards Credits in order to redeem eligible Standards and Reports in the Store
You are not a Member.
AMPP Members enjoy many benefits, including Standards Credits which can be used to redeem eligible Standards and Reports in the Store.
You can visit the Membership Page to learn about the benefits of membership.
You have previously purchased this item.
Go to Downloadable Products in your AMPP Store profile to find this item.
You do not have sufficient Standards Credits to claim this item.
Click on 'ADD TO CART' to purchase this item.
Your Standards Credit(s)
1
Remaining Credits
0
Please review your transaction.
Click on 'REDEEM' to use your Standards Credits to claim this item.
You have successfully redeemed:
Go to Downloadable Products in your AMPP Store Profile to find and download this item.
This paper expands on this work by first reviewing the basis for utilizing Monte Carlo simulation to predict future corrosion in fixed equipment.
A method of determining a required inspection interval for large storage tanks - with design modicfication, risk based inspection (RBI) and utilizing finite element analysis (FEA) - with particular attention for the weld between the bottom annular plates and shell wall.
A review of the issues in the implementations of Risk Based Inspection (RBI) system for refineries and petrochemicals - to simplify and harmonize corrosion loops (as captured on Process Flow Diagrams (PFDs)) and corrosion circuits as captured in piping and instrumentation diagrams (P&IDs).
This standard practice provides guidance on selecting and implementing the Pipeline Integrity Management (PIM) methods (i.e., technologies and processes) to assess and to mitigate threats to pipeline integrity. Predominant threats to pipeline integrity are external corrosion (EC), internal corrosion (IC), stress corrosion cracking (SCC), mechanical damage (first, second, and third party or vandalism), equipment malfunctioning, manufacturing anomalies, construction anomalies, incorrect operations, weather-related, and external forces. The standard is focused on the “selection” and “implementation” of methods and best practices to manage pipeline integrity, but not necessarily on defining all aspects of PIM programs.