Leverage machine learning to perform quick and accurate amplitude inversions and rock property estimations when short project timelines exist. Aspen SeisEarth’s Neural Network Inversion feature provides a step-by-step workflow available for interpreters and non-specialists.

The hydrogen economy presents an attractive pathway for companies seeking to decarbonize their operations. However, developing the necessary global-scale infrastructure for green hydrogen poses various challenges and trade-offs across the value chain. Aspen Fidelis assists companies in managing this uncertainty, quantifying risks and ensuring that their capital investments have the highest probability of delivering desired returns throughout the asset's lifespan. See how your company can realize green hydrogen and ammonia solutions at scale.

Reducing energy use and GHG emissions remains a priority for the process industries. However, when designing more energy efficient plants or revamping existing sites, a high level of expertise is required to perform Pinch analysis. Engineers have limited time available for design, and the use of separate tools by multiple disciplines also brings the risk of errors due to manual data transfer.

Expanded Relationship Drives Customer's Energy Transition Initiatives

Aspen Technology Announces Financial Results for the First Quarter of Fiscal 2024

A recent study conducted by ARC Advisory Group analyzed how leading manufacturing companies are leveraging artificial intelligence (AI) and machine learning tools to improve asset performance. While condition-based maintenance is most prevalent, the study found that leaders have successfully built AI capabilities to enhance asset performance practices through in-house platforms, commercial solutions and a combination of both.

In this article, legacy 3D seismic data from the KG deep water basin underwent broadband reprocessing using state-of-the-art-software.

We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.

Digital technology is a strategic element in reducing cost across the hydrogen value chain, accelerating scaling and speed of implementation, as well as ensuring the safety and reliability of hydrogen solutions.

Learn how a major European refinery reduced energy usage and improved high-value product yields by leveraging the integration of process simulation technology and energy analysis to identify opportunities for greater energy efficiency.