A new initiative designed to revolutionize seismic monitoring and forecasting using real time, advanced machine learning (ML) technologies is coming to the West Texas/New Mexico area. The U.S. Department of Energy (DOE) Technology Commercialization Fund awarded $1.8 million in funding to Lawrence Livermore National Laboratory (LLNL). The project is known as RECONNECT, or the Real-time […]
National Lab’s Machine Learning Project to Advance Seismic Monitoring Across Energy Industries
June 30, 2025 by
Machine Learning in Energy: A Hot Spot in Seismic Processing
July 27, 2018 by Leave a Comment
Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs. Download the new special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies.
