Detection and correction of errors in control systems and operations

A system for controlling an operations technology system of a hydrocarbon production facility, the system comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• receiving technical alert (TA) data specifying one or more changes for implementing on a device;
• identifying one or more assets of an operations technology system that are associated with the TA, the one or more assets including the device;
• accessing a compliance model that integrates machine-learning algorithms to:
• classify inputs corresponding to an asset type and asset status of the identified one or more assets, and
• enable generation of a recommended action for mitigation an issue with the identified one or more assets based on the asset type and the asset status;
• performing a verification, based on local data generated at the asset, whether the recommended action was successful or not;
• and
• generating a report specifying the recommended action and whether the recommended action was successful or not.

One or more non-transitory computer readable media storing instructions for controlling an operations technology system of a hydrocarbon production facility, the instructions, when executed by at least one processor, configured to cause the at least one processor to perform operations comprising:

• receiving technical alert (TA) data specifying one or more changes for implementing on a device;
• identifying one or more assets of an operations technology system that are associated with the TA, the one or more assets including the device;
• accessing a compliance model that integrates machine-learning algorithms to:
• classify inputs corresponding to an asset type and asset status of the identified one or more assets, and
• enable generation of a recommended action for mitigation an issue with the identified one or more assets based on the asset type and the asset status;
• performing a verification, based on local data generated at the asset, whether the recommended action was successful or not;
• and
• generating a report specifying the recommended action and whether the recommended action was successful or not.