Digital twins combine some of our favorite technologies—big data, AI, VR, AR, the cloud, etc.—together to transform how oil and gas and other industries are operating and planning. 

Case in point: Digital twin adoption is expected to grow 10X by 2025. 

With continued pushes toward efficiency and sustainability—along with a nudge from COVID restrictions—oil and gas companies are turning to digital twin technology to meet financial, ESG, and digital transformation goals. 

Digital twins are helpful in many different ways. As implementation continues, companies are now using them for complex, hyper-specific forecast modeling and scenario testing. 

Volkswagen and Siemens have been testing production line simulations, all while working to make this type of modeling more time- and cost-effective. 

From flooding to infrastructure issues, scientists can use digital twins to forecast possible scenarios for at-risk cities as the effects of climate change take hold. 

Oil and gas companies can test possible outcomes from spills and flare, and look at how their assets might be impacted as the climate changes. 

Climate researchers can test different climate change scenarios and how they might affect different industries, communities, and populations.

Digital twins give us kind of a crystal ball to look at possible future scenarios. Then it’s up to us to make positive changes based on what we learn.