| The full wave train data of array acoustic logging contains very rich formation information,and its waveform information has important applications in many aspects.In order to study array acoustic logging more effectively,acoustic reflection imaging logging technology came into being.In petroleum exploration and development,acoustic reflection imaging logging can evaluate fractured reservoirs,unconventional reservoirs and complex reservoirs.Therefore,the research on the processing of acoustic reflection imaging data is of great significance,but the extraction of reflection signal has always been an important research direction.The current reflection signal extraction methods do not consider the influence of amplitude change.Therefore,the research on wave field separation of array acoustic logging is of great significance.In this thesis,the finite difference method is used to simulate the waveform data of array acoustic logging,and the wave field separation processing is carried out for the simulated array acoustic logging data under different formation parameters.The parameter estimation method,f-k filtering method and Radon transform method are studied to extract the wave field respectively,Through the simulation data,it is verified that these wave field separation methods can not accurately separate the waveform with amplitude change;Therefore,an acoustic reflection wave field extraction method based on amplitude information is proposed,and it is proved that the acoustic reflection wave field extraction method based on amplitude information considers the influence of the amplitude change in the process of wave propagation.This method is further used to process the simulated data and actual data,and it is verified that this method has a good processing effect on the array acoustic logging data. |