Create feasible, up-to-date production schedules that bridge the gap between planning and operations. Enable faster decisions and more profitable operations by combining traditional scheduling with optional crude and blend optimization.

This layered application automates crude receipt, tank transfer and CDU feed scheduling—replacing manual workflows with fast, constraint-aware optimization to maximize refining margins.

In this episode, Nithiya Parameswaran, VP of Product Management at Emerson | AspenTech, joins us to explore how this transformation works in practice.

Natively embedded in Aspen Unified Scheduling, Multi-Blend Optimization (MBO) optimizes blend recipes and executable schedules in a single, real-time environment to maximize refinery margins.

Optimal design and operation of heat exchangers (HX) are critical for reducing energy usage, lowering emissions and ensuring proper plant performance. However, using disparate software for process simulation, thermal design and mechanical design leads to missed opportunities, increased risk of design errors from manual data transfer and higher engineering effort.

Industrial organizations are increasingly focused on making operational data accessible across plants, business units and cloud initiatives—yet many data platforms struggle to scale without introducing complexity, cybersecurity risk and high operational overhead.

Bharat Petroleum Corporation Limited (BPCL), one of India’s leading energy and refining companies, has relied on Aspen Petroleum Supply Chain solutions for more than a decade.

What happens when a single enterprise is running on dozens of incompatible systems, speaking dozens of different data dialects? Our team set out to find out, taking on a data fragmentation challenge that spanned multiple sites, systems, vendors and protocols.

Watch this interview with Ryan Halyk, Product Manager for AspenTech Inmation, recorded live on the show floor at ProveIt! 2026.

Upstream teams are under pressure to move faster, reduce costs and make better decisions with increasingly complex data.