Abstract:

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.

Key words: Acoustic communication, Signal correlation, Correlation coefficient, Dynamic model matching

摘要：

在采油作业中，井下油藏参数获取的准确性与实时性，对制定采油工艺至关重要。以油管柱作为信道的无线声波通讯技术，能够满足井下油藏参数实时性和传输速率的技术要求，近年来成为油井通讯领域的研究热点。针对油井无线声波通讯中因噪音干扰和波形畸变导致的识别困难问题，提出了一种有效的识别方法——声波动态模型匹配法。该方法基于油管柱的声学模型和离散信号相关性，通过将待识别声波信号与动态模型进行相关处理提取其相关系数特征，根据其相关系数鉴别每位声波信号的含义，提高识别的准确率。

关键词: 声波通讯, 信号相关, 相关系数, 动态模型匹配