Accessing real-time operational data from your operating assets is just the first step.

Liquefied natural gas plants are complex and highly energy-intensive operations. Gaining deep operational insights is essential to optimize performance and reduce energy consumption.

Access to operational data is only the beginning—turning that data into meaningful insights requires the right tools.

Turnarounds are critical to ensuring safe operations and long-term plant reliability. However, they come at high capital and operational costs, and cause production downtime that results in opportunity losses.

A medida que aumentan los ciberataques a los sistemas industriales, muchas organizaciones se ven expuestas debido a infraestructuras obsoletas e integraciones de sistemas fragmentados que dejan amplias superficies de ataque. Una estrategia moderna y segura de gestión de datos es crucial para proteger las operaciones y permitir el crecimiento futuro.

As cyberattacks on industrial systems rise, many organizations are exposed due to aging infrastructure and fragmented system integrations that leave wide attack surfaces. A modern, secure data strategy is critical to protecting operations and enabling future growth.

Faced with new levels of complexity, disruptions and pressure to meet customer demands, chemical supply chains have been tested as never before in recent years. In addition, there is the growing challenge to achieve net-zero targets while maintaining sustainable, profitable operations.

As operational demands increase and margins tighten, it’s no longer enough to rely on traditional predictive maintenance practices. To stay competitive, companies must embrace a more integrated, proactive approach to Asset Performance Management (APM)—one that combines AI/ML, safety-first maintenance practices and smarter investment planning to transform asset management.

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

Con condiciones operativas en constante cambio —incluyendo diferentes materias primas—, las plantas de proceso actuales enfrentan el desafío de cumplir con objetivos de crecimiento y sostenibilidad, ya que muchos indicadores clave de desempeño (KPIs) no pueden medirse en tiempo real. Aunque los modelos de simulación de procesos pueden desplegarse en línea para brindar a los operadores visibilidad en tiempo real y optimizar el rendimiento, existe una idea errónea común en la industria de que este enfoque es complicado y difícil de implementar.