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Updated: Jul 2, 2025

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
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Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

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基于明确数据的模型用于预测下坑条件下的基于石油的泥粘度

Ahmad Alkouh1, Khaled Elraies2, Okorie Ekwe Agwu2

  • 1Department of Petroleum Engineering Technology, College of Technological Studies, PAAET, Kuwait City 70654, Kuwait.

ACS omega
|February 19, 2024
PubMed
概括

这项研究开发了一种人工神经网络 (ANN) 模型,用于在下井条件下准确估计基于石油的泥 (OBM) 的塑料粘度 (PV). 该模型提供了一个计算效率高和明确的解决方案,取代了实时现场应用的耗时实验室测试.

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When water is poured into a glass, it falls freely and quickly, whereas if honey or maple syrup is poured over a pancake, it flows slowly and sticks to the surface of the container. This difference in the flow of different kinds of liquids arises due to the fluid friction between the liquid layers and the liquid and the surrounding material. This property of fluids is called fluid viscosity. In this example, water has a lower viscosity than honey and maple syrup.
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