摘要
利用铁磁材料的磁记忆性,研制出了井下在役套管检测系统。该检测系统可根据在役套管的应力集中区所产生的磁记忆信号快速、准确地判断套管的应力集中区状况。基于小波系数的“Teager”能量算子,增强了分解后的磁记忆信号能量;从小波变换的信号奇异性检测理论出发,把多尺度变换结果观测与俄罗斯专利技术(梯度)相结合,能准确判断异常应力集中区,实现了信号自适应小波消噪,提取了磁记忆的特征量梯度。实验结果证实了该方法的有效性和可行性。
The metal magnetic memory technique was used to develop a detection system for the borehole casing pipe. The system collects the magnetic memory signals liberated from the stress concentration zone of the in-use borehole casing pipe,judges fast and correctly the state of the zone. Based on the energy operator Teager of the wavelet coefficients, the energy of the decomposed magnetic memory signals was increased. Using the signal singularity detection theory of the wavelet transform,combining the observation on＇the multi dimensional transform results and the in Russia patented（gradient） technique,the self-adaptive wavelet noise suppression of the signal was realized and the characteristic gradient of the magnetic memory was extracted. The experiment results proved the validity and feasibility of the proposed technique.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2007年第2期469-473,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金重点资助项目(50232030)
大庆油田有限责任公司科研创新项目(20040305)
关键词
信息处理技术
金属磁记忆
套管
应力集中
小波分析
information processing
metal magnetic memory
casing pipe
stress concentration
wavelet analysis
