Are you facing challenges in building and updating reservoir models quickly and accurately—especially in complex structural and depositional environments?

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.

Petrophysical analysis is at the heart of so many geoscience decisions. But what if you could move beyond single-value estimates and truly understand the range of possibilities?

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.

Volatility and uncertainty in energy markets continues and global energy demand grows. Upstream companies must operate with much more agility and quantify uncertainty more than ever before.

In today's challenging and rapidly evolving energy environment, the ability to make critical exploration and production decisions hinges on accurate data and robust subsurface models.

Carbon capture is a critical lever for the hard-to-abate chemical industry. Feasibility for these new, innovative processes relies on technical and economic optimization.