小波分析在测井数据融合处理中的应用

受各种干扰和人为因素影响，单的地球物理测井信号曲线存在多解性和局限性。本文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，采用多尺度分析理论重构小波变换系数模极值，从而将多条测井曲线信号融合成条参数曲线。通过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，使测井数据的可信度大为提高。阐述了数据融合处理的原理与具体方法，并结合工程实际分析了应用实效。该方法有助于更好地分析和解决实际工程问题。

Application of wavelet analysis for multi-scale fusion of well logging data

Using a single well-logging curve can help to solve practical engineering problems. However, the resut~s olden have multiple solutions and limitations due to various interfenng and human factors. The fusing of multiple logging curves into a new parameter curve using wavelet multi-scale analysis can facilitate the utilization of multiple logging curves that contain useful information. Based on the theory of signal detection and multi-scale analysis, publicly available information contained in the onginal curves is enhanced, the accidental error associated with single well data has been reduced, and the credibility of the comprehensive well Ioggin g dataset has been improved.