沙特阿美和横河电机在大型天然气设施中成功调试多个自主控制人工智能代理,取得重大里程碑式进展。


由《油田技术助理编辑出版


过程自动化技术领域的领导者横河电机株式会社宣布,该公司与世界领先的综合能源和化工公司之一沙特阿美在工业人工智能 (AI) 解决方案的部署方面取得了历史性的里程碑。

横河电机已在沙特阿拉伯王国的阿美法迪利天然气厂成功实施了多个自主控制人工智能*1代理,以提高运营效率。

横河电机开发的 AI 解决方案使用多个基于因子核动态策略规划 (FKDPP) *2强化学习的 AI 算法的协调 AI 代理,直接自主地控制和优化法迪利天然气厂的酸性气体脱除 (AGR) 操作。

该解决方案分三个阶段实施,逐步优化各个环节,最终实现AGR装置核心流程的自主控制。为确保安全,横河电机首先创建了工厂模拟器来训练人工智能代理,并评估了其可靠性和有效性。随后,将这些代理与横河电机的CENTUM VP集成生产控制系统集成,以充分利用现有工厂的安全功能。

目前该方案的实施正在接受详细评估,但法迪利天然气厂的初步结果表明,尽管环境条件发生了变化,但其胺和蒸汽的使用量减少了 10% 至 15%,电力使用量减少了约 5%,工艺稳定性得到提高,操作员的人工干预也显著减少。

沙特阿美工程服务高级副总裁哈立德·Y·阿尔·卡塔尼表示:“沙特阿美已启动一​​项雄心勃勃的计划,旨在通过在运营中广泛部署工业人工智能应用来释放价值。与横河电机的合作是众多旨在提高效率、增强可持续性并为股东创造更多价值的举措之一。这体现了公司如何利用包括人工智能在内的先进技术来提升业绩,并巩固其在能源领域的技术领先地位。我们期待在此重要里程碑的基础上继续努力,探索进一步采用尖端解决方案,从而开启工业创新的新时代。”

横河电机董事、总裁兼首席执行官、代表执行董事重野邦正表示:“我们非常荣幸能受沙特阿美委托,在其一家主要工厂实施这项突破性技术。我们很高兴看到成果已经超出预期。横河电机一直倡导从工业自动化向工业自主化(IA2IA)转型,此次部署证明我们已做好准备,引领能源行业工厂实现安全可靠的自主运行。”

*1横河电机将自主控制人工智能定义为能够独立推断出最佳控制方法的人工智能,并且具有很高的鲁棒性,使其能够在一定程度上自主处理以前从未遇到过的情况。

*2由横河电机和奈良先端科学技术大学院大学(NAIST)联合开发的强化学习人工智能算法。FKDPP 在 2023 年日本产业技术大赏(Nihon Sangyo Gijyutsu Taisho)中荣获首相奖。

 

在线阅读文章:https://www.oilfieldtechnology.com/drilling-and-production/05112025/aramco-and-yokogawa-achieve-a-major-milestone-with-commissioning-of-multiple-autonomous-control-ai-agents-at-major-gas-facility/

 

本文已添加以下标签:

石油天然气新闻


原文链接/OilFieldTechnology

Aramco and Yokogawa achieve a major milestone with commissioning of multiple autonomous control AI agents at major gas facility

Published by , Assistant Editor
Oilfield Technology,


Yokogawa Electric Corp., a leader in process automation technology, announces it has achieved a historic milestone in the deployment of industrial artificial intelligence (AI) solutions with Aramco, one of the world’s leading integrated energy and chemicals companies.

Multiple autonomous control AI*1 agents have been successfully implemented by Yokogawa at Aramco’s Fadhili Gas Plant in the Kingdom of Saudi Arabia to enhance operational efficiency.

The AI solution developed by Yokogawa uses multiple, coordinated AI agents of the Factorial Kernel Dynamic Policy Programming (FKDPP)*2 reinforcement learning-based AI algorithm to directly and autonomously control and optimise acid gas removal (AGR) operations at the Fadhili Gas Plant.

The solution was introduced in three phases, progressively optimising various sections until autonomous control of the core process in the AGR unit was achieved. To ensure safety, Yokogawa first created a simulator of the plant to train AI agents, and then evaluated their reliability and validity. Subsequently, they were integrated with Yokogawa's CENTUM VP integrated production control system to leverage the safety functions of the existing plant.

Implementation is currently undergoing a detailed evaluation, but initial results from Fadhili Gas Plant demonstrate a 10% to 15% reduction in its amine and steam usage, around 5% reduction in power usage, improved process stability, and a significant decrease in operator manual intervention, despite ambient condition changes.

Aramco Engineering Services Senior Vice President, Khalid Y. Al Qahtani, 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.”

Kunimasa Shigeno, Director, President and CEO, and Representative Executive Officer of Yokogawa Electric, said: “We are honoured that Yokogawa was entrusted by Aramco to implement such ground-breaking technology in one of its major facilities. We are very pleased that the results have already exceeded expectations. Yokogawa is advocating the transition from industrial automation to industrial autonomy (IA2IA), and this deployment proves that we are ready to lead the way towards safe and secure autonomous operations for plants in the energy sector.”

*1 Yokogawa defines autonomous control AI as AI that deduces the optimum method for control independently and has a high level of robustness enabling it to autonomously handle, to a certain extent, situations that it has not previously encountered.

*2 A reinforcement learning AI algorithm jointly developed by Yokogawa Electric and the Nara Institute of Science and Technology (NAIST). FKDPP received the Prime Minister's Prize at the 2023 Japan Industrial Technology Awards (Nihon Sangyo Gijyutsu Taisho).

 

Read the article online at: https://www.oilfieldtechnology.com/drilling-and-production/05112025/aramco-and-yokogawa-achieve-a-major-milestone-with-commissioning-of-multiple-autonomous-control-ai-agents-at-major-gas-facility/

 

This article has been tagged under the following:

Oil & gas news