Les raffineries du monde entier ont économisé des milliards de dollars en optimisant leur production et leurs chaînes d'approvisionnement en pétrole. Cependant, il existe encore plus d'opportunités, certaines en résolvant des problèmes opérationnels et d'autres en comblant les écarts entre la planification, l'ordonnancement et les opérations. Le marché mondial d’aujourd’hui continue de mettre les planificateurs au défi d’optimiser les opérations. La volatilité des prix et de la demande ont un impact sur les matières premières et la sélection des produits, tandis que les opportunités disponibles dans le marché nécessitent une prise de décision rapide et agile

Watch how Aspen Mtell analyzed 220 million sensor values to identify the top 10 maintenance cost failures at one world-class refinery, and predicted a compressor breakdown 49 days in advance.

Understand how Aspen Mtell’s Autonomous Agents share failure signatures across similar assets, enabling rapid time to value.

Learn how Aspen Mtell connects big data and prescriptive maintenance to deliver IIoT solutions.

What if all your data could easily provide strategic insights to your users across your entire enterprise? That's Aspen Enterprise insights, the first hybrid cloud visualization and workflow management solution that brings new levels of performance to operations and capital projects.

A customer case study of the use of Aspen HYSYS, PSV in Aspen HYSYS, dynamic modeling and flare to achieve lower CAPEX solutions and rapidly conduct safety studies for refining.

Over the past 40 years, maintenance best practices have greatly improved, but equipment continues to break down. So how can asset reliability be improved? With Aspen Mtell prescriptive maintenance software, you can predict breakdowns weeks in advance and take action to protect your machines, business investments, the environment, and most importantly, people.

View this video to learn how Aspen Unified brings planning and scheduling together in one environment to improve decision making for increased margins. Discover how you can automate routine tasks, such as reconciling with actual plant data, visualizing results, creating case sets and building the first feasible schedule – saving hundreds of man hours per year.

Aspen Unified 소프트웨어는 의사 결정을 향상시켜 수익을 높일 수 있도록 생산계획과 스케줄링을 단일화된 관리 환경으로 통합했습니다. 실제 공장 데이터와의 보정(Reconciliation), 결과물에 대한 시각화, 다양한 시나리오 케이스 생성 및 실행 가능한 스케줄 초안 수립 등 많은 일상적인 작업을 자동화하여 연간 수백 시간을 절약하는 방법에 대해 알아보십시오.

In today’s ever-evolving global economy, Energy and Chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 Adaptive Control now embeds powerful AI Machine Learning algorithms to build seed models by simply mining historical data. View this video and learn how you can coordinate multiple APCs in closed-loop and optimize broad envelopes in real-time to align planning, scheduling, and operation, significantly reducing margin leakage and energy costs.