The Hybrid Digital Twin - Combining the Best of Both Worlds

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The ultimate goal of the digital twin for any industry, but especially O&G, is for operators, service and logistic companies to benefit from data-driven and/or physics-based solutions. Data-driven analytics and numerical/analytical expressions create a reduced-order model, which generates the digital twin; however, individually, they have limitations that need to be addressed prior to application in the field.

 

Learn how uniting data-driven and physics-based models to generate a hybrid digital twin can increase your model accuracy, provide enhanced insights, and improve engineering efficiencies.

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