Data & Analytics

This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
This study demonstrates the transformative potential of physics-informed neural networks as a hybrid framework for multiphase flow measurement.
This guest editorial addresses how the methane data landscape is changing as new organizations expand emissions monitoring efforts and seek to put the information to work.

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