• Unscheduled downtime: What if a digital twin could access contextualized and actionable data so the operators can make sense of it, and make informed decisions to avert an unscheduled shutdown?
• Leveraging insights to proactively plan and optimize operations: What if a digital twin could remove large parts of this manual work by facilitating more autonomous aggregation and contextualization of field production data – in a single, centralized location?
• The challenge of data accessibility: What if a digital twin could make this data available in the cloud, allowing anyone to access asset information securely – from anywhere in the world?
• The problem of manual inspection, planning and work packages?: What if a digital twin could introduce proactive and even predictive ways of working to optimize inspection routes, improve resource usage and streamline the development of inspection work packages for maximum efficiency?

How the integration of data from drones and robotics into a dynamic digital twin can help get more value out of the information that is gathered, can break down silos and increase collaboration to work smarter, safer and greener.