Generating additional samples for industrial processes

A method comprising:

• identifying one or more input values, wherein the one or more input values comprise process parameters for an industrial process;
• providing the one or more input values as inputs to a measurement prediction model, wherein the measurement prediction model generates one or more output values, wherein the one or more output values are associated with one or more potential measurements of one or more aspects of the industrial process;
• replacing at least one potential measurement in the one or more potential measurements with at least one output value in the one or more output values in an analysis of the industrial process based on the one or more output values;
• and
• altering one or more process parameters based on the analysis.

A system comprising:

• a site, wherein an industrial process is performed at the site, the site comprising one or more sensors configured to produce one or more measurements of one or more aspects of the industrial process;
• an analysis environment, wherein the analysis environment receives the one or more measurements from the site and stores one or more process parameters for the industrial process, the analysis environment comprising one or more processors configured to:
• identify at least one stale measurement in the one or more measurements;
• generate at least one measurement prediction associated with the at least one stale measurement, wherein the at least one measurement prediction are generated by a measurement prediction model;
• and
• use the at least one measurement prediction in place of the at least one stale measurement to perform an analysis of the industrial process.