In the process of oil well operation, wireless communication technology can solve the problems such as high bit error rate and poor real?time performance in the down?hole parameter transmission. How to choose the characteristic frequency of sound wave and explore the attenuation degree of sound wave in the oil string have become the research hotspots in recent years. In this paper, the attenuation characteristics of acoustic signals transmitted along metal tube walls were studied, a communication model was established, and the attenuation law of acoustic signals was quantified on this basis. Combined with Comsol waveform simulation software, the correctness of communication theory model and characteristic frequency selection was verified. The results show that this method can effectively transmit acoustic signals and provide an optimal frequency selection scheme for oil well remote wireless communication technology.

In the oil recovery operation, the accuracy and real?time of obtaining downhole reservoir parameters are very important for the formulation of the oil recovery process. Wireless acoustic communication technology with tubing string as channel can meet the requirements of real?time and transmission rate of downhole reservoir parameters in the oil recovery process, and has become a research hotspot in the field of oil well communication in recent years. Aiming at the difficulty of recognition caused by noise interference and waveform distortion in the wireless acoustic wave communication of oil wells, an effective recognition method：Acoustic dynamic model matching method was proposed in this paper. The method is based on the acoustic model of the tubing string and the principle of signal correlation. The correlation coefficient characteristics of the acoustic signal to be identified and the dynamic model are extracted by correlation processing, and the meaning of each acoustic signal is identified according to the correlation coefficient to improve the accuracy of recognition.