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利用自然伽马曲线和声波时差曲线在低频部分高正相关,建立统计回归模型,对声波时差曲线进行基于Daubechies系列小波函数的多层次高频重构,在保留原始声波时差曲线低频部分的同时,高频部分信息更为丰富,使重构的声波测井曲线既能反映地层速度变化特征,又能在细节上反映岩性变化。将重构过的声波测井曲线用于反演,提高了火成岩反演结果的分辨率。结合多属性分析技术,筛选出工区内火成岩反应敏感的属性,研究其分布信息,为本区气勘探和开发提供科学依据。
Using the natural gamma curve and the acoustic time difference curve in the low frequency part of the high positive correlation, the establishment of statistical regression model of the acoustic time difference curve Daubechies series based on the wavelet function of multi-level high-frequency reconstruction, while retaining the original acoustic wave of low-frequency part of the time curve, The information of the high-frequency part is richer, so that the reconstructed sonic logging curve can reflect not only the changing characteristics of formation velocity but also the lithology change in detail. The reconstructed acoustic logging curve is used for inversion and the resolution of the igneous rock inversion result is improved. Combining with the multi-attribute analysis techniques, the sensitive properties of igneous rocks in the work area are screened, and the distribution information is studied to provide a scientific basis for gas exploration and development in this area.