The research project is an effort to identify the potential of industrial internet of things for SAGD processing facilities to improve energy usage and reduce greenhouse gas emissions. Interdisciplinary approach is adapted to connect digital solutions, oil sand production, and GHG emissions. Methodology adopted in this research include basic understanding of “internet of things” with focus on “industrial internet of things.” Inspired from Google’s prediction and optimization of data center energy usage by deploying machine learning algorithm, Energy usage and GHG emissions are estimated to identify critical areas and equipment at SAGD facility. Case studies are reviewed to identify different IIOT applications. Big data analytics can be utilized for Process optimization and Predictive analytics to reduce environmental burdens. Different IIOT solutions are explored with research partner Atheria.io which specializes in providing data handling, analytics, storage and application development for industries to unlock the potential of data to achieve environmental goals.