Aspen Geolog is the leading solution for advanced formation evaluation and petrophysical analysis, with versatility that also makes it well suited to a diverse number of energy industries such as carbon sequestration and geothermal energy development.

As companies like yours look to embrace AI and unlock the value of your data, you are probably challenged with data collection, integration and access across legacy systems. Join this webinar to learn how you can integrate industrial data from diverse sources, including Microsoft Azure cloud.

Discover how an integrated oil and gas company partnered with AspenTech in their digital transformation journey to address challenges within their most crucial oil and gas central processing fields.

What if you could accelerate your data ingest and transform it with a unified data analytics solution that connects it all? Now you can.

In today's rapidly evolving industries with ever-changing dynamics, maintaining operational efficiency and reliability is crucial. Digitalization offers insights into facility capacities and capabilities across varying scenarios—short and long term. By understanding the potential effects of equipment downtime or changes in production plans, organizations can proactively manage risks and optimize resource allocation.

During the Q&A portion of a AspenTech Inmation™ webinar with Verdantix, attendees had the opportunity to pose their questions to the panel of experts presenting. This document contains the answers to those industrial data questions.

The ability to accurately characterize, model and predict the distribution of rock facies in the reservoir helps understand reservoir quality and behavior.

Delivering energy transition projects on time and on budget requires tight collaboration across multiple disciplines to synchronize various deliverables.

The relationship between porosity and permeability is a key component of reservoir characterization when trying to maximize hydrocarbon recovery. Are you interested in learning about solutions for rock-type classification and flow unit identification?

As asset-intensive companies grapple with the increased complexity of maintaining reliable, high performing equipment, the challenge grows exponentially when critical asset data—maintenance records, sensor data, historical information, etc.—is siloed across various systems, departments and formats.