One major oil platform operator was facing recurring failures in production subcomponents that resulted in >10% downtime and millions of dollars of lost production. They employed SparkCognition’s turnkey analytics solution, SparkPredict®, to see if it could use sensor data to identify failures with at least 4 days of advance notice. This case study details the project and its results.
Other content in this Stream
This webinar discusses how predictive AI analytics are being used today to increase production on offshore platforms and share some examples and best practices learned from deployments in 2019.
Companies that emerge the strongest from inevitable slowdowns are the ones who adopt innovative technologies. This booklet highlights how AI implementation can help O&G companies in three key areas.
Leading contract manufacturer, Texmark Chemicals Inc., has historically monitored their equipment manually and at high cost. Facing increasing costs and additional safety liabilities from this...
The oil and gas industry is a dynamic, ever changing arena. SparkCognition has developed AI-based predictive and prescriptive maintenance solutions to help companies adapt to the age of digitization.
Ali Raza, President of Dover Energy Automation, discusses how artificial intelligence is helping people in the oil and gas industry stay safe when monitoring wells. Read more about AI in the oil & gas
Non-productive time is a great enemy for oil and gas operators. E&P operators need to better categorize and analyze rig activities to track and eliminate non-productive time and invisible lost time.