摘要
大多数现有数据处理方法未充分考虑传感器测量特点。为进一步提高油井多相流动电磁测量全息成像效果,针对电磁全息测量数据误差特点,抽象出其有异于理想数据的特征。采用对"突变"和"毛刺"个别压制与整体数据平滑处理相结合的策略,形成一种电磁全息测量数据处理混合算法。处理结果表明,相比以往方法,提出的混合算法能够更大限度还原测量数据实态,从而使得重建全息流动图像具有更高精度。
Characteristics of sensor array measurement is not fully considered by most existing data processing approaches. In order to further improve the quality of electromagnetic measurement holographic tomography for multiphase flow in oil wells,aims at analyzing deviation characteristics of electromagnetic holographic measurement data,extracting features that are different from ideal measurement data,adopting a strategy of integrated processing of partial suppression and overall smooth of "peak"and"burr",as to form a hybrid data processing algorithm of electromagnetic holographic measurement. Processing result indicates that,compared with previous approaches,the hybrid algorithm proposed can restore the actual state of measurement data more effectively,in order that the holographic flow image reconstruction is of a higher accuracy.
出处
《科学技术与工程》
北大核心
2016年第26期189-194,共6页
Science Technology and Engineering
基金
国家科技重大专项(2011ZX05020-006)资助
关键词
油井多相流动
全息测量数据处理
“突变”
“毛刺”
全息成像
multiphase flow in oil wells
holographic measurement data processing
"peak"
"burr"
holographic tomography