走向智能集成方法论,准确确定三相流系统中的体积百分比
Abdullah M Iliyasu1,2, Mohammad Sh Daoud3, Ahmed Sayed Salama4,5
1College of Engineering, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia. a.iliyasu@psau.edu.sa.
Scientific reports
|March 12, 2025
概括
这项研究引入了一种使用X射线测量和机器学习的先进方法,以准确确定三相流体体积百分比. 该方法提高了工业过程效率和流体分析.
科学领域:
- 多相流量测量多相流量测量
- 应用信号处理 应用信号处理
- 在工程领域的机器学习.
背景情况:
- 在三相流体中精确确定体积百分比对于石油和天然气生产等工业过程至关重要.
- 传统方法往往缺乏复杂流体组合所需的精度.
研究的目的:
- 开发和验证一种新的,准确的方法来确定三相流体体积百分比.
- 利用先进的信号处理和机器学习进行增强的流体组成分析.
主要方法:
- 利用基于X射线的测量系统与蒙特卡洛N粒子代码模拟.
- 从测量数据中提取时间,频率和波量变换特征.
- 采用模拟回火用于特征选择和尺寸缩小.
- 应用支持向量回归 (SVR) 神经网络用于体积百分比的确定.
主要成果:
- 集成多种信号特征,以提供全面的流体组成表示.
- 使用模拟化来改善模型性能的优化功能集.
- 与传统方法相比,在体积百分比确定方面取得了更高的准确性.
结论:
- 拟议的综合方法为分析三相流体组成提供了一个高度准确和高效的技术.
- 该方法在需要精确流体分析的各种工业环境中具有很大的应用潜力.
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