As critical net-zero targets remain top of mind for today's chemical and energy companies, technologies like solvent-based carbon capture can be deployed to reduce carbon emissions and advance sustainability goals.

Carbon Capture and Storage (CCS) is at the forefront of sustainability initiatives. As the demand for storage sites increases, there is a pressing need for subsurface technologies that accelerate project timelines—from permitting to monitoring.

Watch Dr. Nina Schwalb, Vice President of AspenTech DataWorks, in her first-ever AspenTech webinar as she discusses industrial data management and AspenTech Inmation.

Watch this on-demand webinar to learn how you can integrate industrial data from diverse sources, including Microsoft Azure cloud, featuring experts from ARC, Microsoft and AspenTech®.

The chemical supply chain landscape has undergone unprecedented challenges in recent years, marked by new levels of complexity, disruptions, and pressure to meet customer demands. The specialty chemicals industry faces the unique challenge of producing lower volumes of high-value products with specific requirements especially in the area of supply chain management.

What if you could unlock value from your data, accelerate digital transformation initiatives and also leverage the power of an AI-powered analytics platform? An operational data ecosystem is critical to properly ingesting, aggregating and contextualizing disparate types of industrial data needed in today's complex manufacturing environments.

Delivering energy transition projects on time and on budget requires tight collaboration across multiple disciplines to synchronize various deliverables.

The relationship between porosity and permeability is a key component of reservoir characterization when trying to maximize hydrocarbon recovery. Are you interested in learning about solutions for rock-type classification and flow unit identification?

As asset-intensive companies grapple with the increased complexity of maintaining reliable, high performing equipment, the challenge grows exponentially when critical asset data—maintenance records, sensor data, historical information, etc.—is siloed across various systems, departments and formats.

Safety remains a critical imperative for companies worldwide as it impacts the workforce, surrounding communities and operations of the plant or refinery. Yet engineers often struggle to analyze scenarios and design risks for an effective safety system.