一种基于数据压缩传输的高速大满贯测井系统

针对目前大满贯测井系统受限于电缆传输带宽,不能实现大数据量快速、实时采集的问题,设计了一种专用于大满贯测井系统的井下遥测传输短节。在分析大满贯测井采样数据相关性的基础上,在遥测传输短节中通过硬件电路设计和算法的嵌入式开发,将大满贯组合中各种井下仪的上传数据帧按采样时间进行缓存,形成深度对齐的二维数据阵列,根据图像无损压缩原理,采用基于CALIC算法的自适应预测模型,对数据阵列进行无损压缩后上传。在SL油田4口井的大满贯实测数据上的仿真实验结果显示,所提方法较目前主流的测井数据压缩方法-LZW算法数据压缩率平均提升了约30%;在SL油田5口井的大满贯实际测井作业的应用测试结果为新的大满贯系统作业效率平均提升约22%。结果表明,新的硬件设计和数据压缩传输算法极大提升了大满贯测井时效,实现了大满贯系统的高速测量,保证了大满贯测井在节约勘探开发成本方面的巨大经济优势。

High-speed slam well logging system based on data compression

Pointing to the problem that slam well logging system cannot realize rapid and real-time acquisition of large volume data under the limit of transmitting bandwidth of logging cable at present, a down-hole telemetry transmitting sub dedicated to slam logging is designed in this paper. Based on the correlation analysis of sampling data, depth aligned two dimensional data array is formed by up-loaded data frames buffering according to sampling time from different tools in combination of slam logging. According to image lossless compression theory, adaptive predicting model based on CALIC algorithm are utilized to up load data array after lossless compression by hardware circuit design and embedding programming development. Simulation experimental result is that data compression ratio is improved by about 30% compared with current mainstream compression method-LZW on actual data of slam logging from 4 wells of SL oilfield. Application testing result is that efficiency of new slam logging is improved by about 22% on actual slam logging operations of 5 wells from SL oilfield. Result shows that efficiency is greatly improved by new hardware design and data compression and transmitting algorithm which realizes high-speed data acquisition and insures huge economical advantage of slam logging in saving the cost of exploring and developing oilfields.