White Paper

Optimize and Automate Energy Assets with Digital Twins in MATLAB and Simulink

Optimize and Automate Energy Assets with Digital Twins in MATLAB and Simulink

Pages 17 Pages

MathWorks’ white paper shows how MATLAB and Simulink power digital twins to optimize, control, and automate energy assets across upstream, midstream, and downstream operations. Upstream applications include reservoir simulation, geothermal modeling, and carbon storage. Midstream uses span production optimization, drilling automation, and predictive maintenance—cutting costs up to 40%. Downstream focuses on hydrogen production, lithium recovery, and chemical process control. By integrating multiphysics modeling, real-time analytics, and IT/OT connectivity, digital twins improve decision-making, boost efficiency, and deliver sustainable, cost-effective energy solutions.

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