Predicting internal corrosion in gas flow lines using machine learning

A system comprising:

• one or more processors;
• and
• one or more non-transitory computer readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• obtaining first data indicating a plurality of first properties of a plurality of first gas flow lines, wherein the plurality of first properties comprise, for each of the plurality of first gas flow lines:
• data representing a flow rate of a gas through that first gas flow line,
• data representing a pressure of the gas in that first gas flow line, and
• data representing an additive included in the gas in that first gas flow line, wherein the additive comprises a substance for inhibiting corrosion in that first gas flow line;
• and
• for each of the plurality of first gas flow lines:
• determining, using a computerized neural network, a risk of corrosion associated with that first gas flow line based on the first properties of that first gas flow line,
• determining whether the first metric for that first gas flow line is greater than a threshold level, and
• responsive to determining that the first metric for that first gas flow line is greater than the threshold level, generating a notification indicating the first metric for that first gas flow line for presentation to a user.

One or more non-transitory computer readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• obtaining first data indicating a plurality of first properties of a plurality of first gas flow lines, wherein the plurality of first properties comprise, for each of the plurality of first gas flow lines:
• data representing a flow rate of a gas through that first gas flow line,
• data representing a pressure of the gas in that first gas flow line, and
• data representing an additive included in the gas in that first gas flow line,
• wherein the additive comprises a substance for inhibiting corrosion in that first gas flow line;
• and
• for each of the plurality of first gas flow lines:
• determining, using a computerized neural network, a risk of corrosion associated with that first gas flow line based on the first properties of that first gas flow line,
• determining whether the first metric for that first gas flow line is greater than a threshold level, and
• responsive to determining that the first metric for that first gas flow line is greater than the threshold level, generating a notification indicating the first metric for that first gas flow line for presentation to a user.