A powerful data connectivity solution built for enterprise, with the ability to read from and write to a wide variety of data sources, databases and historians.

The hydrogen economy has been gaining momentum in North America for the past two years, and this has only accelerated as the U.S. Department of Energy begins to implement the incentives provided in the recent IRA legislation.

YPF, a majority state-owned energy company, was looking to place new wells in a tight gas field that is part of a complex delta front system. Learn how YPF used Aspen SKUA™ geological modeling solutions to:

Industry leaders have committed to achieving net zero carbon emissions. For many this will require a shift in operations—moving away from yearly emissions reporting to becoming more transparent in their efforts. Many are turning to advancements in decarbonization technology for real-time visualization of emission data across the entire organization.

Aspen Big Loop™ is an application-agnostic ecosystem for setting up automated, reproducible and auditable workflows that help propagate uncertainties and capture their dependencies, resulting in reliable probabilistic predictions. The workflow is easy to update and enables asset teams to spend more time analyzing the results and building a common understanding of the reservoir. Watch this video for an overview of the unique characteristics of Big Loop - evergreen, ensemble-based and collaborative.

A major operator providing oil and gas exploration and extraction services in the Caspian Sea region deployed an ensemble simulation workflow utilizing the Aspen Big Loop technology to perform uncertainty and risk estimation as part of the project feasibility assessment, with Aspen Tempest as an orchestrator.

Environmental, social, and corporate governance (ESG) is now on the agendas of the most senior stakeholders within businesses around the globe.

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AspenTech commissioned an independent survey of 200 North American and European decision makers from key industries, including engineering and construction, chemicals, oil and gas, pharmaceuticals and metals and mining, focusing on industrial data usage.

Decisions are made on data. Today, the amount of data we have is monumental – and that will only continue to grow. So how do you see the forest for the trees and get the insights that you need?