Methods and systems for process adaptation in an internet of things downstream oil and gas environment

A method of monitoring a processing asset for one of an oil processing facility and a gas processing facility, the method comprising:

• interpreting a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package comprising at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of process components;
• analyzing a subset of the plurality of detection values to determine a status value corresponding to an oil and gas process;
• adjusting a process parameter in response to the status value;
• performing a pattern recognition operation to analyze the subset of the plurality of detection values with at least one of a neural net or an expert system to determine a recognized pattern value;
• and
• determining a sensor effectiveness value, the sensor effectiveness value comprising a capability of the subset of the plurality of detection values to determine the recognized pattern value.

An apparatus for monitoring a processing asset for one of an oil processing facility and a gas processing facility, the apparatus comprising:

• a data acquisition component configured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package comprising at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of process components;
• a data analysis component configured to analyze a subset of the plurality of detection values to determine a status value corresponding to an oil and gas process;
• an analysis response component configured to adjust a process parameter in response to the status value;
• and
• a pattern recognition component configured to:
• analyze the subset of the plurality of detection values with at least one of a neural net or an expert system;
• determine a recognized pattern value;
• and
• determine a sensor effectiveness value, the sensor effectiveness value comprising a capability of the subset of the plurality of detection values to determine the recognized pattern value.