摘要
阵列声波测井是目前一种重要的测井方法。但由于它产生的数据量较大,加之电缆传输速度的限制,测井效率会因此受到影响。为提升测井效率,有必要对原始声波测井数据进行压缩处理。通过分析声波信号的特点,提出了采用DCT+适当量化+算术编码的压缩方法,并根据实际波形的测试结果对压缩方法进行了一系列改进。通过对660组真实测井数据的测试,得到了对于672个点的单极声波数据平均4.56的压缩比,对于1 200个点的偶极声波数据平均9.18的压缩比,均方根误差在2%左右,证实了该方法的有效性。
Array acoustic logging is one of the most important logging methods presently. However,due to its huge amounts of data and the speed limit of data transmission,logging efficiency is restricted. Data compression and processing is necessary to improve logging efficiency. By analyzing characters of acoustic signal,introduce a compression method comprised of DCT,proper quantization and arithmetic coding,further,a series of improvements are made to the method. By test on 660 group real logging data,it is proved that the method is effective,average compression ratio（ CR） is 4. 56 to the monopole acoustic data of 672 points and 9. 18 to dipole acoustic data to1200 points,with root-mean-square error around 2 %.
出处
《传感器与微系统》
CSCD
2016年第2期143-146,共4页
Transducer and Microsystem Technologies
关键词
离散余弦变换
阵列声波测井
数据压缩
discrete cosine transform（DCT）
array acoustic logging
data compression
