Yokogawa optimises acid gas removal operations with autonomous AI agents

Yokogawa Electric has achieved a milestone in industrial AI deployment with Aramco at the Fadhili Gas Plant in Saudi Arabia.

Using multiple autonomous AI agents based on the Factorial Kernel Dynamic Policy Programming (FKDPP) reinforcement learning algorithm, Yokogawa optimised acid gas removal (AGR) operations.

The AI was introduced in phases, trained on a plant simulator, and integrated with the CENTUM VP control system for safety.

Early results show 10–15 per cent lower amine and steam usage, 5 per cent reduced power consumption, enhanced process stability, and less manual operator intervention, marking a significant step toward autonomous, efficient, and safe gas plant operations.

Khalid Al Qahtani, Aramco Engineering Services Senior Vice President, said: "Aramco has embarked on an ambitious plan to unlock value by deploying a wide range of industrial AI applications across our operations. The collaboration with Yokogawa is one of many initiatives that focus on improving efficiency, enhancing sustainability, and generating more value for our shareholders. It reflects how the company is harnessing advanced technology, including AI, to elevate its performance and reinforce its position as a technology leader in the energy sector. We look forward to building on this important milestone, as we explore further adoption of cutting-edge solutions that will contribute to a new era of industrial innovation."