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利用小波变换方法可以把原始信号分解为一系列载有不同信息的子信号,每种子信号载有储层的特定信息,包括流体、岩性和孔隙结构等。我们开发出了基于小波变换的谱分析方法,利用该方法可以从这些子信号中提取出反映地层流体特性的子信号,通过对该子信号的处理识别出地层所含流体的特性。本文利用该流体识别新方法对某油田的实际测井资料进行了处理,处理结果与试油结果符合得很好,进一步证明了本方法的可靠性和实用性。
Using wavelet transform, the original signal can be decomposed into a series of sub-signals carrying different information. Each sub-signal contains reservoir-specific information, including fluid, lithology and pore structure. We developed a spectral analysis method based on wavelet transform. With this method we can extract the sub-signals that reflect the fluid properties of the formation from these sub-signals, and identify the characteristics of the fluid contained in the formation by processing this sub-signal. In this paper, a new fluid identification method was used to process the actual logging data of an oilfield. The results of the experiments are in good agreement with the results of the oil test, which further proves the reliability and practicability of the method.