The Application of Matching Pursuit Algorithm Based On WB-Marr Wavelet in Oil and Gas Exploration

Time-frequency analysis technology is the key method to study non-stationary signal. It helps to look for the attributes of signals with oil and gas and to provide important evidence to detect complex reservoirs. It studies the MP method using the self-adaption wavelet which inherits all the advantages of Ricker wavelet and has higher resolution and better adaptability. The method is fit for the study of thin and inter-bedded reservoirs. It obtains good effects in model test and practical application.