Kuraray America presented its experience using digital twins for shutdown, turnaround and outage planning. The approach supports turnaround preparation, field execution and operational decision-making. Read More →
New research examines AI-enabled predictive maintenance for wellhead and pressure-control equipment, using machine learning and deep learning to identify equipment degradation and predict potential failures before they affect operations. Read More →
A September 2026 review examines how AI and machine learning are being applied to oil and gas surface networks for production prediction and optimization, including physics-informed AI approaches and real-time decision support. Read More →
esearch published in Computers & Security examines cybersecurity risks created by IT/OT convergence in oil and gas facilities and proposes a human-centered framework for managing those risks. The work also connects IT security practices with IEC 62443-based OT security. Read More →
SLB is highlighting edge IIoT applications that bring AI and physics-based intelligence closer to oil and gas assets, complementing existing DCS and SCADA infrastructure for faster operational decisions and improved reliability. Read More →