Processes for monitoring corrosion and carrying out operational plans using same

A process, comprising:

• acquiring a plurality of corrosion factors for at least one well;
• acquiring a plurality of corrosion loss logs for the at least one well, wherein the plurality of corrosion loss logs includes time lapse corrosion metal loss data;
• providing the plurality of corrosion factors and the plurality of corrosion loss logs to a repository;
• generating prepared data by cleaning, manipulating, converting, adjusting, biasing, or providing time normalization to the plurality of corrosion factors and the plurality of corrosion loss logs of the repository;
• providing the prepared data to a machine learning model, wherein the machine learning model comprises a retraining model that in operation updates the machine learning model using one or more changes to the repository and/or using direct data input to the machine learning model, wherein updating the machine learning model via the retraining model further comprises utilizing new data comprising the one or more changes to the repository and/or the direct data input to the machine learning model in combination with data drift observed in the machine learning model to self-correct the machine learning model;
• generating a corrosion prediction via the machine learning model utilizing the prepared data;
• combining at least the plurality of corrosion factors, the plurality of corrosion loss logs, and the corrosion prediction into a user dashboard, wherein the user dashboard comprises:
• a user interface that includes filters based on a type of casing, a type of field, a type of formation, a type of well, an intervention, or a well history to allow for a focused analysis;
• insights into a sensitivity of corrosion rate to different environmental variables;
• corrosion heatmaps comprising an indication corresponding to a spread of corrosion or a severity of corrosion overview across one or more locations in a field corresponding to the at least one well or a reservoir corresponding to the at least one well;
• corrosion hotspots comprising a second indication of a depth of the at least one well where the corrosion is the highest in the at least one well;
• primary causative factors;
• and
• a risk profile;
• using the user dashboard to determine an operational plan for the at least one well;
• and
• carrying out the operational plan for the at least one well.