By harnessing large amounts of data and combining it with the power of artificial intelligence, we build smart, intuitive models that predict the occurrence of stuck pipe incidents. These models work alongside statistical models to monitor operations 24/7 and notice errors that the human eye miss. By being able to detect signs of mishap early enough, we avoid it.
The drilling process is completed more efficiently and safely, thereby reducing the energy spent. It also reduces pollution that otherwise would occur if an incident did take place.
Technical presentation is to be held on Wednesday, March 7th, at the Galveston Island Convention Center, Texas. Register here.