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油田进入开发中后期,薄差层逐渐成为开采的主要对象,因此对测井资料质量的要求越来越高,而提高测井曲线纵向分辨率是提高薄层评价效果的关键。常用的反褶积法在实际应用中往往达不到预期的效果,划分薄层效果不够明显。为此,提出了将小波分解与反褶积结合提高测井曲线纵向分辨率的方法。首先选取适当的小波函数,确定变换次数为3后,对测井曲线进行小波分解得到不同尺度上的子带信息,然后对尺度三上的细节系数做五点反褶积滤波处理,并对尺度一上的细节系数进行阈值去噪处理,最后对处理后的各尺度上的低频、高频系数进行小波重构,得到高分辨率测井曲线。选取了某油田两口井的常规声波曲线进行小波反褶积处理。两口井声波时差曲线处理结果与实测的高分辨率声波时差曲线对比表明,该方法处理后的测井曲线分辨率有明显提高,可以满足薄层评价的需要。
As the oilfield enters the middle and late stages of development, the thin difference layer has gradually become the main target of mining. Therefore, the logging data quality is increasingly demanding. Improving the vertical resolution of the logging curve is the key to improve the evaluation of the thin layer. Commonly used deconvolution method often fail to achieve the desired effect in practical applications, the effect of the division of the thin layer is not obvious enough. For this reason, a method combining wavelet decomposition and deconvolution to improve the longitudinal resolution of logging curve is proposed. First, select the appropriate wavelet function to determine the transformation number is 3, the wavelet decomposition of the log curve to obtain sub-band information on different scales, and then on the scale three three-dimensional detail coefficients to do five deconvolution filter, and the scale Finally, the low-frequency and high-frequency coefficients of each scale after wavelet processing are reconstructed to obtain the high-resolution logging curve. The conventional acoustic wave curves of two wells in an oilfield are selected for wavelet deconvolution. The comparison of the acoustic time difference between the two wells and the measured high resolution acoustic time difference curve shows that the resolution of the well logging curve after the method has been obviously improved, which can meet the needs of thin layer evaluation.