How can you use artificial intelligence to predict how extreme weather events may affect critical assets?
Asset integrity is a key issue for operators. It is more important than ever to ensure safety, environmental performance and reliability. As extreme weather events become more common, there is a growing need to monitor the environment around assets such as pipelines, tailings ponds and dams to prevent flooding, breaches and spills. Events in Saskatchewan in 2016 highlight how critical this is.
Now with advancements in Predictive AI Forecasting it is possible to predict up to seven days in advance how a weather system could damage an asset, and how it may affect the surrounding environment. This reduces risk, while allowing for a predictive operations strategy that can have significant impact on safety, the environment and costs.
Join us at this informative webinar to learn how these Predictive AI Forecasting models are built by combining real-time and historical sensor data with weather forecasts to produce a solution that goes beyond environmental monitoring.
Kevin Marsh, Vice President, Business Development, Carl Data Solutions
Piotr Stepinski, Chief Technology Officer, Carl Data Solutions
Bemal Mehta, Senior Vice President, Energy Intelligence, JWN Energy (Moderator)
To attend this complimentary webinar please complete the registration form. Once you have been registered you will receive log in information by email.
Join us for this Webinar on Predictive AI Forecasting