Industrial organizations are under increasing pressure to connect data from legacy systems, modern applications and distributed assets to support optimization, resilience and AI-driven operations.

As process manufacturers navigate tighter margins, workforce challenges and increasingly complex assets, integrated reliability strategies are becoming essential for maintaining performance and operational resilience.

Unplanned shutdowns, rising OPEX and safety risks continue to challenge refiners and petrochemical producers. Asset Performance Management (APM) solutions help companies predict and prevent equipment failures, reduce costs and improve reliability.

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.

Elastic inversion from common reflection angle migration (CRAM) gathers can accurately capture lithology-driven lateral variations in reservoir properties, particularly in a strongly deformed and faulted geologic environment.

Predicting the permeability of fractured reservoirs is valuable for both reservoir assessment and drilling planning. Characterization of such systems requires advanced amplitude analysis, mainly based on seismic imaging results of the recorded wavefield.