机构地区: 电子科技大学自动化工程学院
出 处: 《电子测量与仪器学报》 2009年第5期63-68,共6页
摘 要: 测井曲线高分辨率处理是提高薄层测井解释精度的一条重要途径,对重新评价老井测井资料,寻找漏失掉的油气层具有非常重大的意义。提出一种基于抗混叠Shannon小波包变换的测井曲线高分辨率处理方法。首先使用频域内插方法消除Shannon小波函数的频域混叠问题,进一步提高其分频严格的特性;接着利用改进的Shannon小波包变换对声波测井曲线进行分解,并根据测井曲线的频谱特点确定最优小波树;最后根据分频加权重构的思想,对低分辨率测井曲线进行能量补偿。实际资料处理表明,该方法能够明显提高声波测井曲线分辨率,达到高分辨率处理的目的。 High-resolution processing of well logs is one of the important approaches to enhance the explanations to the thin beds, and it is very useful for old logging information evaluation. In this paper, a new method for high-resolution processing of well logs based on anti-aliasing Shannon wavelet packet transform is proposed. Firstly, a frequency domain interpolation method is composed of Shannon wavelet function to enhance Shannon wavelet characteristics which can divide frequency band strictly. Secondly, acoustic well logs are decomposed by the improved Shannon wavelet packet. Finally, well logs are reconstructed according to weighting which is the ratio between high-resolution and low-resolution well logs. The experiment result has proved that the new processing method can enhance the resolution of acoustic well logs.