More than half of all companies say they lack the skills they need to get the most out of their AI applications. Industrial AI offers a solution for this “expertise gap” by automating data cleaning, monitoring and analytics to enable the efficient scaling of custom-fit solutions.

In this article from Automation World, discover how manufacturers can improve their operations now and in the future by building a strong industrial data foundation.

The environment in which pipelines must operate is changing rapidly and dramatically, as constant shifts in the global marketplace have underscored a need for increasing flexibility.

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

In recent decades, energy and chemical companies have benefited from digital technologies to increase the efficiency of hydrogen (H2) processes while ensuring safe and economical production, storage and transportation. Today, digitalization is increasingly crucial as hydrogen systems grow in complexity, utilizing green power sources and getting deployed at a larger scale.

A seismic survey was conducted in a production oil field in Serbia. It was assumed that significant reserves still exist in the field, as well as additional undiscovered reservoirs. An advanced seismic imaging technology was required to further characterize the existing reservoirs and identify and characterize new ones.

Seismic processing, imaging, characterization and interpretation are preferably executed as a continuous workflow to maintain seismic data integrity and consistencies. Geophysicists must construct a workflow from hundreds of applications and algorithms, and thousands of parameters, to achieve desired project outcomes. Almost all these applications and algorithms are based on assumptions about the underlying geological model complexity and subsurface conditions.

There has been growing interest in the use of machine learning technologies for processing and interpreting seismic data. Many procedures that traditionally have been performed using deterministic methods and algorithms can be effectively replaced by neural networks and other artificial intelligence methodologies, improving simplicity, efficiency and automation.

The digital transformation journey can be personalized based on each company’s maintenance maturity, by augmenting or improving on technologies such as condition-based monitoring and product inspections rather than replacing them.

This article, featured in Business Reporter by AspenTech CEO and President Antonio Pietri, explores the role that business leaders have to play in developing strategies that will position their companies for a sustainable future.