Systems and methods for rapid prediction of hydrogen-induced cracking (hic) in pipelines, pressure vessels, and piping systems and for taking action in relation thereto

A method for training an expert system for predicting hydrogen induced crack growth rate from a simulated observation database (SODB) having one or more crack growth rate (CGR) observations, comprising:

• applying one or more filters to the SODB to remove one or more CGR observations in which crack growth did not take place from the SODB;
• copying the one or more CGR observations in which crack growth took place to a new database;
• splitting the new database into one or more predictors corresponding to [X]CGC=[gi, li, mi, oi, hi]i=1 . . . M and one or more targets corresponding to [Y]CGC=[τi, CGRi]i=1 . . . M;
• splitting the one or more predictors into a first dataset corresponding to [X]CGC=[Xtr]CGC∪[Xval]CGC, with [Xtr]CGC∩[Xval]CGC=Ø, and splitting the one or more targets into a second dataset corresponding to [Y]CGC=[Ytr]CGC∪[Cval]CGC, with [Ytr]CGC∩[Yval]CGC=Ø;
• training the first dataset via a supervised learning algorithm;
• and
• validating the second dataset via a supervised learning algorithm.

A system for determining a growth rate of hydrogen induced damage in an asset, the system comprising:

• a computer having a processor, a memory and a connection to a network, the computer having access to a database that stores historical data corresponding to a plurality of input parameters;
• a data gathering device configured to gather asset design data and operating condition data at a region of the asset corresponding to the plurality of input parameters;
• and
• wherein the computer implements instructions to configure the processor to operate as an expert system which is configured to:
• receive from the database the historical data corresponding to the plurality of input parameters,
• receive from the data gathering device the asset design data and the operating condition data at a region of the asset corresponding to the plurality of input parameters,
• extract the plurality of input parameters from the historical data and the asset design data and the operating condition data at a region of the asset, and
• process the extracted plurality of input parameters to output the growth rate of hydrogen induced damage in the region at the asset.