一种数据压缩方法用于基于深度自动编码器的井口稳定性监测.
Shan Song1, Xiaoyong Zhao2, Zhengbing Zhang1
1School of Electronic Information and Electrical Engineering, Yangtze University, Jingzhou 434023, China.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
一种新的深度自编码器压缩方法显著提高了钻井轨迹数据压缩比率,并减少了错误. 这通过克服传统方法的局限性来增强井口稳定性监测.
科学领域:
- 石油工程是石油工程中的一个.
- 数据科学数据科学数据科学
- 信号处理 信号处理
背景情况:
- 井口轨迹数据压缩对于有效的井口稳定性监测至关重要.
- 经典方法 (哈夫曼编码,压缩传感,DPCM) 在实时性能,压缩比和数据重建准确性方面存在局限性.
研究的目的:
- 为钻井轨迹数据开发一种先进的压缩方法.
- 与现有技术相比,提高压缩比率并最大限度地减少重建错误.
主要方法:
- 使用深度自动编码器进行初级数据压缩.
- 采用量子化和哈夫曼编码来进行剩余数据压缩.
- 应用一个具有最佳标准偏差值的平均波器来减少错误.
主要成果:
- 实现了4.05的平均压缩比倾斜和近视角数据,比DPCM有118.54%的改善.
- 与DPCM相比,平均平均平方误差降低到76.88,比DPCM下降了82.46%.
- 废弃性研究验证了拟议方法的各个组件的有效性.
结论:
- 拟议的基于深度自编码器的方法为钻井轨迹数据压缩提供了卓越的性能.
- 这一进步显著提高了井口稳定性监测的准确性和效率.
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