For logging while drilling (LWD) systems, it is necessary to adjust the working state of the downhole tools in real-time according to different operating conditions. In this paper, on the basis of the characteristics of LWD systems, a mud pressure-apperceived downlink system was examined. For the design of this system, a signal acquisition and processing board was created based on a piezoelectric ceramic sensor to acquire the mud pressure signal. The error sources of the downlink command sending process were analyzed, and an error accumulation compensation processing algorithm was proposed to improve the recognition success rate of the downhole system. Moreover, to reduce noise interference on the characteristics of the mud impulse signal, a filtering algorithm was proposed based on the empirical mode decomposition method, and the success rate of instruction issuance was determined by identifying feedback instructions. Field tests were conducted to further improve the system, the results of which suggested that the system had good mud adaptability, high recognition success rate, and a certain application value.

对于随钻测井（LWD）系统，有必要根据不同的工作条件实时调整井下工具的工作状态。本文根据随钻测井系统的特点，研究了泥浆压力感知的下行系统。为了设计该系统，基于压电陶瓷传感器创建了一个信号采集和处理板，以采集泥浆压力信号。分析了下行命令发送过程中的错误源，提出了一种错误累积补偿处理算法，以提高井下系统的识别成功率。此外，为了减少噪声对泥浆冲激信号特性的干扰，提出了一种基于经验模态分解方法的滤波算法，并通过识别反馈指令来确定指令发布的成功率。为进一步完善该系统进行了现场测试，结果表明该系统具有良好的泥浆适应性，较高的识别成功率和一定的应用价值。