Seismic inversion of rock properties is crucial for geoscientists assessing the integrity of reservoirs and surrounding formations. Geophysicists face challenges such as limited seismic data resolution, structural complexity and the need for high-productivity technology to meet project deadlines.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.

Advanced simulation tools are key to overcoming the challenges of the green hydrogen economy. Process engineers who leverage Aspen Plus® simulation software can optimize hydrogen production processes, boost efficiency and reduce costs.

Discover AspenTech Inmation, a cutting-edge industrial data fabric designed to optimize data-driven operations.

Building a facies model that can incorporate complex facies and environments is always a challenge. Read how the unique Hierarchical Truncated Plurigaussian Simulation in Aspen RMS helps create stochastic facies models that simplify complex geological variables while delivering optimal performance.

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.

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.