| 基于SVM的油水两相流相态识别方法 |
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| 引用本文： | 李昱萱,刘兴斌,韩连福,付长凤. 基于SVM的油水两相流相态识别方法[J]. 石油管材与仪器, 2021, 0(2): 91-95 |
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| 作者姓名： | 李昱萱 刘兴斌 韩连福 付长凤 |
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| 作者单位： | 东北石油大学;大庆油田有限责任公司测试技术服务分公司 |
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| 基金项目： | 黑龙江省自然科学基金“化学驱水平小井筒内携砂油气水三相流流动参数测量方法研究”(编号:LH2020E012)。 |
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| 摘 要： | 目前国内各陆上油田大多处于高含水开发期,多数油井均为油水两相的混合流动状态,准确识别油水两相流分界面非常必要。为了提升识别率,采用基于小波包分解提取特征参数,运用Python编程语言搭建支持向量机(SVM)训练模型的方法实现油水分界面辨识,经过对训练及测试结果的分析,油水两相流分相识别率达到了100%,证实SVM在油水两相辨识方面有很好的适用性。
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| 关 键 词： | 油水两相流 地面计量 小波包 特征提取 支持向量机 |
Recognition Method of Oil-water Two-phase Flow Based on SVM |
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| LI Yuxuan,LIU Xingbin,HAN Lianfu,FU Changfeng. Recognition Method of Oil-water Two-phase Flow Based on SVM[J]. Petroleum Tubular Goods & Instruments, 2021, 0(2): 91-95 |
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| Authors: | LI Yuxuan LIU Xingbin HAN Lianfu FU Changfeng |
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| Affiliation: | (Northeast Petroleum University,Daqing,Heilongjiang 163000,China;Daqing Logging and Testing Services Company,Daqing,Heilongjiang 163153,China) |
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| Abstract: | At present,most of the major oilfields on the mainland are in the high water-cut development period,and most of the oil wells are in the mixed flow state of oil-water two-phase flow.It is necessary to identify the phase state of oil-water two-phase flow accurately.In order to improve the recognition rate,the method of extracting characteristic parameters based on wavelet packet analysis and using Python programming language to build a support vector machine(SVM)training model is used to implement the recognition of oil-water interface.After the analysis of the training and test results,the phase recognition rate reaches 100%,which proves that SVM has good applicability in oil-water phase recognition. |
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| Keywords: | oil-water two-phase flow ground measurement wavelet packet feature extraction SVM |
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