Abstarct: Because the earth behaves like a low-pass filter, the frequency of seismic signals changes with time as they propagate through the earth, so seismic signals are unstable signals. Time-frequency analysis methods are an effective and powerful tool for analyzing time-varying signals. The aim of this thesis is to introduce the local maximum Synchrosqueezing transform as a time-frequency transform with high resolution as well as the ability to extract the basic signal states. This transform is from the family of reassignment methods and is an approach baxsed on the short-time Fourier transform. In order to show the time-frequency resolution of the proposed method, this transform has been compared in two artificial examples created in MATLAB environment with STFT, RM and SST methods. In both artificial examples, the time-frequency representation of the proposed method is suitable more than other methods. Also, to show the appropriate squeezing rate of this method, the renyi entropy parameter has been used for this purpose. In this comparison, the value of the renyi entropy parameter of the proposed method is less than other methods, which indicates the compactness a lot of this method. Also in this thesis to identify the gas reservoir by low frequency shadow anomaly of transform such as short time Fourier transform, reassignment method, Synchrosqueezing transform and proposed method on a seismic section The relevant has been done to one of Iran's gas fields. By comparing the results of these methods with each other, it will be clearly seen that the output of the proposed method has a higher resolution than other methods.