Remove Downstream Remove Engineering Remove Pipeline
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The Importance of Field Gas Conditioners and JT Skids in the Oil and Gas Industry

Pro-Gas Services

This self-contained system is specifically engineered to process raw natural gas, removing impurities and liquids to ensure it meets stringent quality standards for pipeline transportation or further processing. These impurities can corrode pipelines, damage processing equipment, and even pose safety and environmental risks.

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Streamlining U.S. EPA Subpart W Greenhouse Gas Reporting with AWS and Sustainability Insights Framework

AWS: Energy (Oil & Gas)

A standardized data model was created that allows for the quick onboarding of new activity data into the data lake and enabling uniform downstream processing of the data regardless of the source. For example, for a compressor engine, we track the hours it was running each day. These calculations were managed in the SIF guidance.

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Collaboration: Key to the first multicloud blockchain deployment

IBM: Oil & Gas

Vertrax CEO Vinny Mullineaux (center) with Ken Zimmerman, CEO of Chateaux Software (left) and Vijay Rathna, Director of Enterprise Applications, Chateaux Software (right) Individual data points are like fuel molecules waiting in pipelines and tanks to heat our homes or cook our food.

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Powering AI/ML with MDIO seismic streaming from the OSDU® Data Platform

AWS: Energy (Oil & Gas)

The MDIO format enables these requirements, and the data quality can be tuned to the downstream application needs and available bandwidth. Furthermore, a 3D data pipeline using MDIO is employed for fast data loading and augmentation, optimizing data engineering and allowing for faster iteration.

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Unleashing sustainable potential: harnessing machine learning on AWS for optimal energy usage

AWS: Energy (Oil & Gas)

Employ the Internet of Things (IoT) Rule Engine to separate your batch and real-time messages. You can trigger AWS Glue periodically or on-demand to process your raw telemetry data into the format needed for downstream analytic use cases. Use Amazon SageMaker for building, training, and deploying the Energy Optimization model at scale.