Enhanced recovery

Entrepreneurial mindsets with the motivation to explore new materials, not limited to focusing on traditional hydrocarbon gas, carbon dioxide, and chemicals such as polymer and surfactant, are becoming more important for broadening prospects beyond the conventional EOR scene.
This paper discusses a comprehensive hybrid approach that combines machine learning with a physics-based risk-prediction model to detect and prevent the formation of hydrates in flowlines and separators.
This paper presents an approach to subsea hydrate-risk management based on the understanding that some crudes have induction properties that delay hydrate formation even when the pressure and temperature conditions reach the hydrate thermodynamic region.

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