声波测井数据压缩算法的研究与实现

Research and Implementation of Acoustic Logging Data Compression Algorithm

摘要:

声波测井会产生庞大的数据量，当测井电缆数据传输速率较低而无法满足实时传输要求时，可采用存储式仪器对这些数据进行井下存储。为了减小仪器的存储压力，需要对数据进行压缩处理，为了提高压缩比从而增大数据存储量，本文在经典的LZW压缩算法基础上，进一步提出一种基于MED预测的LZW数据压缩系统，并采用OK6410微处理器及Linux操作平台，完整实现该系统对声波测井数据的压缩、存储、传输以及数据解压恢复功能。系统测试和实验结果表明，该系统的数据压缩比达到30%，可实现数据的无损压缩，系统性能稳定可靠，因此基于MED预测的LZW数据压缩系统及其实现方法可在声波测井仪中进行推广应用。

Abstract:

Acoustic logging commonly produces a large amount of data, which will result in the difficulty of real-time data transmission when the transmission rate of logging cable is low. In this case the data can be stored down-hole by using logging instrument of storage type. In order to reduce the storage pressure of logging instrument, the acoustic data need to be compressed. This paper presents a set of data compression system using LZW algorithm integrating with MED prediction. For the system’s implementation, OK6410 microprocessor was used by employing Linux as the embedded operating system. The developed system has realized the functions of acoustic logging data compression, data storage, data transmission and data decompression. Through system test and experimental analysis, it is proved that the system can achieve lossless data compression for acoustic logging with stable and reliable performance.