This report details key considerations pertaining to the development stages in predictive model builds as well as describing how a reliable predictive model can quantify values associated with an unseen set of diagnostic parameters. The importance of the predictive domain is discussed to highlight the fact that data-driven modelling by itself does not circumvent the limitations of long-term predictions.
This report contains details on on the development of data driven and predictive models at TÜV SÜD National Engineering Laboratory. An impartial overview of commercially available Digital Oilfield packages known to TÜV SÜD National Engineering Laboratory is also given, with an emphasis on their specific applications in industry.
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