Read this ARC report to learn how industrial data scientists are solving real-world problems in the field.

Energy and Chemical companies continue to look for new ways to reduce their carbon footprint and remain profitable. Advancements in digital optimization technology are helping industry leaders navigate the energy transition, meet sustainability goals and optimize operations. Learn how companies like Marathon Petroleum, Samref and CEPSA are using Unified Production Optimization to lower CO2 emissions, reduce energy intensity, maximize margins and much more!

Hydrocarbon Processing_The EPC Executives Challenge

H2TechTalk_the economics of blue vs green hydrogen

As oil and gas companies continue to navigate market volatility, high equipment reliability remains vital to meeting changing demands. AI-powered predictive maintenance combined with low-cost cloud platforms helps organizations not only maximize equipment availability, but also control costs and advance sustainability goals.

With the high commodity prices in the current market, mining companies are in an optimal position to take advantage of advanced and highly scalable technologies such as prescriptive maintenance.

Technology Centre Mongstad (TCM DA) is the world’s largest open access test center for carbon capture technologies. It is located next to the Equinor refinery in Mongstad, Norway, which is the source of two types of flue gases supplied to TCM’s carbon capture demonstration plant. Since TCM inauguration in 2012, testing has provided valuable learnings and experiences needed for the widespread growth of the CCS industry.

This video demonstrates how AspenTech and Hexagon have brought together the two worlds of process engineering and detailed engineering by integrating the world’s leading conceptual and detailed design tools. The seamless data transfer from Aspen Basic Engineering™ to Smart P&ID accelerates project deliverables by enabling reuse of data, eliminating manual transcription and data inspection while fosters collaboration between various disciplines.

Building resilient and future-proofed supply chains require implementing technology that can bring people and processes together. Industrial AI can play a role in both alleviating current supply chain problems and future-proofing global supply chains against future shocks.

This panel discussion reviews how digitalization, an important component of Pharma 4.0, will connect multiple sources of data to establish new levels of transparency and speed for a SMART manufacturing process.