Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as ExxonMobil, Tekfen Engineering, Kiewit, KBR, Air Products, Pertamina, Petronas and Sonatrach.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as ExxonMobil, Aramco, Sabic, Petronas, Petro China, ADNOC, Bharat Petroleum, KBR and Saipem.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as Cabot, Con2Scale, CTS, Infineum, Inmize, Stellix, Takeda and TotalEnergies.

ADNOC’s offshore production facilities were experiencing significant operational and financial risks due to disruptions in gas lift operations and frequent compressor seal failures. These issues were traced to the accumulation of elemental sulfur deposits within the gas handling systems.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as ADM, Albamarle, Equinox, James Hardie, Reliance, Motiva and Bharat Petroleum.

Industrial data platforms come in many shapes and levels of maturity. The real challenge goes beyond choosing the “right” platform—it's how organizations enable teams to work with what they have.

Sweco, Europe’s leading architecture and engineering consultancy, needed a more consistent and scalable approach to cost estimation across its Industry and Energy Division in Finland.

Process simulation tools—such as steady-state and dynamic modeling platforms—provide value far beyond traditional design and analysis. When simulation models are connected to a broader digital engineering environment, validated process data can be seamlessly reused across disciplines, supporting integrated and efficient project execution.

Oil refineries are complex operations with tight margins, constantly adapting to changing crude types and product demands. Rigorous process simulation software like Aspen HYSYS® provides vital insights to manage these challenges effectively.

Industrial leaders understand that AI success depends on more than algorithms, it requires a strong, connected data foundation. While purpose-built Industrial AI can deliver value on its own, organizations that effectively manage and contextualize data are better positioned to scale impact and sustain competitive advantage.