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Mind the Data Gap with Industrial AI
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.
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HP Article: When Digital Transformation Hits all Four Sustainability Buckets
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.
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How Digital is Driving the H2 Energy Transition
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.
Article
CRAM Gathers Enhance 3-D Inversion
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.
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Improved Seismic Images through Full-Azimuth Depth Migration
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.
Article
Geologically Constrained Velocity Models Improve Field Development
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.
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