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As Southeast Asia’s energy sector advances its decarbonisation ambitions, maintaining reliability remains non-negotiable. By combining AI, data and asset intelligence, Yokogawa is helping energy companies navigate this dual challenge with confidence.
Contributed by Yokogawa Engineering Asia
Southeast Asia’s energy sector is undergoing a profound transformation. Geopolitical uncertainties, evolving market dynamics, and growing decarbonisation commitments are compelling energy companies to rethink traditional business models while maintaining energy security, affordability, and operational reliability.
As global oil majors evolve from International Oil Companies (IOCs) into Integrated Energy Companies (IECs), the industry is balancing the continued importance of conventional energy with increasing investments in cleaner and renewable energy sources. This shift presents both opportunities and challenges as organisations seek to optimise existing assets while building a more sustainable energy future.
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Both sides of the transition
While energy production based on fossil fuels is still high in demand to meet growing energy demand, the contribution of renewable energy continues to rise across the region. Yokogawa is committed to supporting this transition, demonstrated by the acquisition of BaxEnergy, which strengthens the company’s ability to deliver end-to-end renewable energy management solutions across solar, wind and hybrid energy assets.
From data to decisions
Beyond supporting energy diversification, Yokogawa helps customers accelerate digital transformation and decarbonisation through intelligent automation, data integration, IT/OT convergence, asset and operation optimisation.
From AI-powered operations and autonomous technologies to renewable energy management and lifecycle services, Yokogawa enables organisations to unlock the full value of their operational data, improve asset reliability, optimise energy efficiency, and reduce carbon intensity.
As energy infrastructure becomes increasingly connected and data-driven, Agentic AI has emerged as a critical pillar of operational resilience. Deriving knowledge and information from different industrial control systems and databases, making context-aware and risk-aware recommendations or decisions on critical assets is essential to ensuring safe, resilient, and uninterrupted operations.
Yokogawa’s asset management solution serves as an operational intelligence engine, designed to be agnostic to existing asset monitoring platforms, integrable to various 3rd party ML/AI solutions via REST APIs, composable to meet unique business needs and yet scalable to multiple facilities and geographies.
Reducing Unplanned Downtime For Critical Assets From Two Weeks To Three Days
85%
Less unplanned pump downtime
3 days
Down from up to two weeks
30+
Fuel oil pumps now covered
At a major oil storage terminal in Malaysia, a regional hub for petroleum product distribution, pump failures caused by cavitation, seal leakage or shaft damage could take critical pumps offline for up to two weeks. Yokogawa connected vibration sensors, flow meters and the distributed control system with the terminal automation system, so pump behaviour could be read against live operations such as ship loading and tank transfers, with predictive analytics layered on top. In a first phase covering six fuel oil pumps, unplanned downtime fell from as much as two weeks to three days, an 85 percent reduction, and maintenance is now scheduled around shipping windows rather than forced by breakdowns. The terminal has since extended the deployment to more than 30 fuel oil pumps.
“Operational excellence is not built by technology alone. Yokogawa combines deep industrial IT/OT knowledge, enhanced with robust AI governance and practical experience to help customers manage their critical assets, strengthen workforce capabilities, and ensure their operations can respond, recover and continue efficiently and sustainably in their companies.”
Terence Tay, Global Head of Asset Management Business Development
The future of energy will be increasingly defined by the intelligent use of data. Through the convergence of AI, advanced analytics, and automation, organisations can unlock new opportunities to enhance efficiency, strengthen resilience, and accelerate progress towards net-zero goals. Yokogawa is at the forefront of this transformation, helping customers turn operational data into actionable AI-powered insights and enabling a smarter, more sustainable energy future for Southeast Asia and beyond.
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