AspenTech Industrial AI™는 공정 산업의 판도를 바꾸는 기술로서 AI 알고리즘의 속도와 성능에 실제 도메인 전문 지식의 효율성과 매개변수를 결합하였습니다. 특수 목적에 맞게 설계된 아스펜테크의 AI 솔루션은 데이터 인사이트, 엔지니어링 기반기술, 공정자산에 대한 지식 및 산업에 특화된 전문 지식을 결합하여 고객 기업이 끊임없이 변화하는 비즈니스 요구 사항에 더 빠르게 적응하고 대응할 수 있도록 지원합니다.

Natural gas is uniquely positioned as a transition fuel to support an affordable and secure energy transformation through displacement of coal power electricity generation and supplementing renewable electricity.

Process industries, especially refineries, must continually adapt to operational changes driven by variations in feedstock, product demands, and other factors. Moreover, many critical KPIs cannot be directly measured in real-time within an operating plant.

Developing automated 3D models during pre-FEED and FEED can drive down material costs, enhance asset visualization and help identify an optimal design early, minimizing revisions in later engineering phases.

As sustaining production from mature fields becomes increasingly challenging, companies are moving into new and demanding frontier plays, such as ultra-deep water.

Heiko Claussen, AspenTech co-Chief Technology Officer, shares advice for asset-intensive organizations in the Middle East looking to leverage the benefits of Industrial AI.

The influx of renewable energy sources is transforming the utility landscape, presenting both unprecedented opportunities and significant challenges. Utilities face increasing pressure because of the lengthy engineering review process and grid capacity analysis required to add new solar, wind, batteries and other distributed energy resources (DERs) to the grid while maintaining grid stability and profitability.

Saudi Arabia is taking important steps to prepare for a low- or no-carbon future world.

Motivated by its success in middle distillate dynamic optimization with Aspen GDOT, Marathon Petroleum Company continues to enhance production with small-scale applications in naphtha and light-end distillation towers. These applications have accelerated value delivery with minimal resource expenditure.

A discussion on digital transformation and technology's role as a catalyst for green innovation in specialty chemical manufacturing.