Industries

Revolutionizing operations: leveraging executable digital twins in oil & gas, process & power generation

Capital asset-intensive industries such as oil and gas, process and power generation are under growing pressure to maximize production while reducing emissions and costs. Furthermore, many critical capital assets across these industries are aging, and large numbers of highly experienced workers are entering retirement.

How can owner-operators and equipment manufacturers navigate these complex challenges while maintaining profitability? By improving operational efficiency and innovation using advanced digital technologies.

In our recent webinar, process optimization experts presented how physics-based executable digital twins are crucial for businesses to achieve comprehensive digitalization and operational excellence.  Scroll down for webinar highlights and learn how executable digital twins’ physics-based modeling approach provides unprecedented actionable insights into your operational processes.


Executable digital twins extend beyond traditional digital twins

A digital twin is a virtual representation of a physical product or process. It enables businesses to experiment with different scenarios inside a risk-free digital environment.

Executable digital twins take things further, letting you use physics-based digital twin models to control and improve behavior, predict performance, and optimize real asset, process or system operations. Deployed alongside or as part of your physical system, the executable digital twin provides a live connection between the virtual and real assets to continuously transform IoT data using engineering simulation insights, enabling smarter decision-making and enhanced operations.

In this webinar clip, Shivdeep Gaagat, Siemens’ Industry Lead for Energy, Simulation and Test Division, breaks down executable digital twins into plain English and explains how they use comprehensive digitalization to fill data gaps and predict system states beyond sensor capabilities.


Achieve operational excellence using an executable digital twin’s real-time modeling and analysis

Operational excellence is crucial for improving business outcomes and sustainability in capital-intensive industries. With an executable digital twin, your engineers can use real-time modeling to make operational decisions for critical asset components such as heat exchangers.

Watch the video to learn the advantages of making operational decisions based on reliable, validated information, including component lifespans.


Introduce predictive maintenance and prevent failures before they happen

Data-driven predictive maintenance can substantially improve operational efficiency while extending the lifespan of capital assets and their components.

In this webinar highlight, you’ll learn how executable digital twins improve capital asset lifecycle management by providing:

  • The ability to visualize the stress profiles of components such as wind turbine blades and gearboxes to predict ideal maintenance timing as well as component lifespans
  • Continuous real-time asset monitoring 
  • Predictions and diagnoses of failures before they happen

Build organizational trust in predictions and decision-making using simulation validation

In capital asset-intensive sectors like energy, chemicals, and infrastructure, using simulations and digital twins is not just an option—it’s a necessity. However, the effectiveness of these simulations hinges heavily on their accuracy, making validation processes indispensable.

Watch webinar presenter Inge Laureyn (PhD), Manager Process Optimization at IPCOS, discuss the importance of simulation validation in building organizational trust and confidence in simulated models, predictions and decision-making.


Optimize your asset operations using the executable digital twin

Are you ready to use next-generation digital technology to control and improve capital asset behavior, predict performance and optimize industrial energy management?

Embrace the actionable insights and power of the executable digital twin. Discover more about this revolutionary technology by watching the full webinar.

Justin Tuttle

Justin Tuttle is a senior digital content marketing specialist for the energy and utilities industries at Siemens Digital Industries Software. He creates content showcasing how energy and utilities companies can embrace digitalization to improve innovation, collaboration and sustainability while reducing costs.

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This article first appeared on the Siemens Digital Industries Software blog at https://blogs.sw.siemens.com/energy-utilities/2025/01/15/revolutionizing-operations-leveraging-executable-digital-twins-in-oil-gas-process-power-generation/