Flower recognition software applied in rock classification
After workshops and ideation sessions, ADNOC and IBM deployed a first-of-a-kind cognitive rock classification solution by modeling it from technology used to identify flowers. After geologists fed high-resolution rock images into a database, they used Watson to analyze and properly identify classes of carbonate rock. This gave ADNOC the ability to classify up to 25,000 thin-section rock images per day. With Watson, they can run a set of images for a whole reservoir in minutes, saving their expert geologists precious time. In the future, ADNOC analyses will broaden to include seismic data, as well. This new analytics approach for the chemicals and petroleum industry is helping ADNOC become a tech leader in the Middle East region.