A METHOD FOR RECOGNITION OF FLUID PROPERTY IN RESERVOIRS USING WAVELET TRANSFORMATION
小波变换在识别储层流体性质中的应用

We attempt to develop a new method for recognition of fluid properties in reservoirs by using wavelet transform. Assume that signals of electric well-logging represent the integrated contribution of many subsurface factors. They include microscope porous structure of strata, properties of underground fluids, rock features and rock phases. The characteristics of energy spectra from wavelet analyses for varied reservoirs are different. So we can obtain characteristic energy spectra of various kinds of reservoirs through wavelet analysis to known models. With these spectra we can make recognition of fluid properties to reservoir sections, which are to be distinguished.