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小波分析在测井数据融合处理中的应用 被引量:5

Application of Wavelet Analysis to Multi-scale Fusion Processing of Well Logging Data
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摘要 通过分析测井信号曲线能够较好地解决实际的工程问题,综合利用多条测井信号所反映的地层信息,应用小波分析方法将多条测井曲线信号融合成一条参数曲线。对融合后的参数曲线解译,增强了原始测井曲线中所包含的共有信息,削弱了单条测井信号中存在的偶然误差,使得测井数据的可信度大大提高。 Using signal well logging curve can solve practical engineering problems. By the utilization of layer information reflected by multiple logging curves, multiple logging curves are fused into a new parameter curve by wavelet multi--scale analysis. Based on the theory of signal detection and multi--scale analysis, public information of the original curve has been strengthened, the accidental error of single well data has been reduced and the credi- bility of comprehensive well logging data has been improved.
出处 《工程地球物理学报》 2014年第1期77-80,共4页 Chinese Journal of Engineering Geophysics
关键词 数据融合 测井曲线 小波分析 多尺度分析 fusion of data well logging curve wavelet analysis multi--scale analysis
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