基于测井曲线小波分析与希尔伯特变换的流体识别新方法

 低渗、特低渗及低阻油气等复杂储层的流体性质所对应的测井响应特征较为复杂，流体识别和评价的难度较大，多解性突出。本文以岩心、地质和动态资料为基础，从小波分析和希尔伯特变换原理出发，通过建立理论正演模型，对其测井响应进行小波分解与重构，选择能较好反映流体性质变化的趋势信号，对其开展希尔伯特变换，建立并分析趋势信号的振幅谱和相位谱，得出基于小波分解重构、希尔伯特变换的谱特征与流体性质关系。研究表明，常规测井曲线的小波重构信号可以更好地反映流体性质的纵向分布特征，小波重构测井曲线希尔伯特变换的振幅谱和相位谱可清晰地揭示流体性质的纵向变化及差异。将此方法应用于鄂尔多斯盆地，取得良好效果。

New fluid detection method based on well logging curve wavelet analysis and Hilbert Transform

The well logging response characteristics for fluid property in reservoirs with low and extra low permeability are extremely complicated, as a result it is very difficult to conduct fluid detection and evaluation for those reservoir and ambiguity is always a big problem. Based on available data (core data, geology data and dynamic data) and principles of wavelet analysis and Hilbert Transform, forward model was established, wavelet deposition and reconstruction were conducted, for trend information which co...