Application of synchrosqueezed wavelet transforms to estimate the reservoir fluid mobility

Abstract

This paper presents a new methodology for estimating reservoir fluid mobility using synchrosqueezed wavelet transforms. Synchrosqueezed wavelet transforms, which adopts a reassignment method, can improve the temporal and spatial resolutions of conventional time-frequency transforms. The synchrosqueezed wavelet transforms-based fluid mobility estimation requires the favourable selection of sensitive low-frequency segment and more accurate estimation of the change rate of the low frequency segment in the spectrum. The least-squares fitting method is employed in the synchrosqueezed wavelet transforms-based fluid mobility estimation for improving the precision of the estimation of change rate of the low-frequency segment in the spectrum. We validate our approach with a model test. Two field examples are used to illustrate that the fluid mobility estimation using the synchrosqueezed wavelet transforms-based method gives a better reflection of fluid storage space and monitors hydrocarbon-saturated reservoirs well.