Microseismic Data Processing Based On Improved HHT Algorithm And Upper Computer Software Design

Microseismic signals have important applications in areas such as seismic monitoring and oil and gas exploration.However,the accuracy and reliability of time-frequency analysis of microseismic signals are challenging because they are often disturbed by noise.Therefore,this paper proposes a kind of improved Hilbert-Huang transform(HHT)algorithm to provide high time-frequency analysis of microseismic signals.The improved HHT algorithm starts by pre-processing the original microseismic signals using wavelet threshold noise reduction.This method uses the wavelet transform to decompose the signal into components of different sizes and removes very small components by setting appropriate thresholds,thereby improving the quality and clarity of the signal.The preprocessed signal is then analysed in time and frequency using a modified HHT algorithm,which obtains the time-frequency characteristics of the signal by resolving it into a set of Intrinsic Mode Functions(IMFs)and calculating their instantaneous frequencies.However,due to the presence of noise,the conventional HHT algorithm can be erroneous in the analysis of microseismic signals.Therefore,this paper introduces an energy ratio method to identify and eliminate noise components,thus improving the accuracy of time-frequency analysis.In order to verify the effectiveness and practicality of the improved HHT algorithm,a Qtbased supercomputer software has also been designed and implemented in this paper.This software is used to receive and process microseismic signals and integrates the improved HHT algorithm as the core of signal processing.With this software,researchers can easily acquire and analyse microseismic information and obtain more accurate time-frequency characteristics.Experimental results show that the time-frequency analysis of microseismic signals using the improved HHT algorithm can effectively provide high signal clarity and resolution.Compared with the conventional HHT algorithm method,the improved algorithm should be able to accurately detect and remove virtual spurious components and provide more accurate time-frequency characteristic analysis results.At the same time,the designed superior computer software provides a convenient tool for the acquisition and processing of microseismic information.In summary,this paper proposes an improved HHT algorithm and designs a Qt-based highlevel computer software for the acquisition and processing of microseismic signals.The method of above-wavelet threshold noise reduction and energy ratio identification of virtual spurious components improves the results of time-frequency analysis of microseismic signals.The experimental results show that the algorithm has good performance in improving the signal quality and provides a valuable tool and method for the application and research of microseismic signals.