一种基于选择性合奏策略的泥连续波信号的新否定方法,具有粒子群集优化
Chongjun Huang1, Wenbo Cai1,2, Dongxiao Pang1
1Drilling & Production Technology Research Institute, CNPC Chuanqing Drilling Engineering Co., Ltd., Chengdu 610500, China.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
本研究介绍了一种粒子群优化 (PSO) 选择性集体过策略,以改善钻井操作期间的连续波信号重建. 该方法提高了噪音环境中的信号质量和稳定性.
科学领域:
- 地质物理学 地质物理学
- 信号处理 信号处理
- 钻井工程 钻井工程
背景情况:
- 钻井中的泥连续波信号被复杂的背景噪声扭曲.
- 传统的消除噪声方法缺乏有效性和一般化能力.
研究的目的:
- 为钻井中的连续波信号制定先进的降噪策略.
- 在具有挑战性的环境中提高信号重建的精度和稳定性.
主要方法:
- 提出了一种基于粒子群优化 (PSO) 的选择性集合过策略.
- 适应性选择最佳过算法,并为互补的优点分配权重.
- 应用PSO以确定最佳权重并执行候选信号的选择组合.
主要成果:
- 与单一过方法相比,重建的信号显示出优越的质量指标和稳定性.
- 选择性集体方法在复杂的钻井环境中增强了概括能力.
- 实现了连续波信号的高精度重建.
结论:
- 基于PSO的选择组合过策略对于钻井中的连续波信号重建是有效的.
- 这种方法比传统的消除噪声技术提供了显著的改进.
- 该方法为噪音较大的钻探信号处理提供了强大的解决方案.
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