DT Day event highlights AI platforms Asset Plus, OOP, LCEMS for efficiency and sustainability
“Originally, we analyzed and predicted refining margins manually using Excel, but now we’ve built a visualized data system by coding all data from specific markets through AI. This has significantly reduced the time required for market analysis.”
On the 31st of last month, the 27th floor of the GS Tower in Gangnam, Seoul, bustled with employees from various departments at GS Caltex’s “Deep Transformation Day (DT Day)” event, themed “WoW (Way of Work), AI.” Over 20 booths showcased AI applications across the company, from crude oil procurement, market analysis, facility management, and process control to public relations and finance.
The DT Day, now in its third year, is an on-site internal event organized by GS Caltex to strengthen industry competitiveness and achieve sustainable growth. The company stated that it is transforming work practices through diverse digital and AI transformations (DAX). Lee Eun-ju, head of the DX Center, said, “We’ve established a solid digital foundation through DX, and integrating AI has allowed us to advance toward a more effective value chain. This led us to combine DX and AX (AI Transformation) into DAX, leveraging their complementary relationship.”
At sites like the Yeosu Complex, AI applications are expanding to include production planning, process optimization, and carbon emission reduction. Notable examples include early detection of equipment anomalies through AI vibration analysis and AI models that precisely calculate the conversion ratios of crude oil to products, replacing traditional mathematical models. Kang Jae-min, head of the Digital Innovation Team, explained, “As GS Caltex participates in the Ministry of Trade, Industry and Resources’ AI Factory Alliance and leads pilot projects, we are promoting plans to freely distribute national R&D outcomes — such as process optimization and carbon reduction technologies — to small and medium-sized enterprises in the Yeosu Industrial Complex and beyond.”
The event introduced integrated facility management platform “Asset Plus,” process optimization platform “OOP (Operations Optimization Platform),” and energy management system “LCEMS (Lower Carbon Energy Management System).” LCEMS automatically collects and calculates energy usage and greenhouse gas emissions data, enabling real-time monitoring by production headquarters. It will also include features to predict optimal operating points for energy-intensive equipment like heaters, heat exchangers, and pumps. A GS Caltex official stated, “Development of LCEMS began in the second half of last year and is now 70-80% complete. While full optimization will take more time, the energy monitoring system is already undergoing data verification by operational teams.”
AI applications are also expanding at customer and partner touchpoints. Examples include an internal chatbot for repetitive inquiries, the “Partner Plus” app to improve gas station efficiency, and the “Energy Plus” app, which won six global design awards for customer experience design.
GS Caltex CEO Heo Seong-hong said, “By combining AI with our data and systems, we will evolve into an organization capable of faster, more precise decision-making and more flexible, creative collaboration.” He added, “People are always at the heart of change. Let’s innovate our way of working through AI, embracing smarter and more human-centric methods, and build the future of GS Caltex together.”
