基于递归过的微地震事件采集在无线通道色和测量异常值下
Hongyu Gao1, Manrong Zhang2, Lindong Yu2
1State Key Laboratory of Continental Shale Oil, Daqing 163318, China; Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing 163318, China; School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China; Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China.
ISA transactions
|July 30, 2025
概括
本研究引入了一种新的递归过器,通过解决无线通道色和测量异常值 (MO) 来改进微地震事件检测. 该方法在具有挑战性的信号条件下提高了首次到达采集精度.
科学领域:
- 地质物理学 地质物理学
- 信号处理 信号处理
- 无线通信无线通信
背景情况:
- 微观地震事件的检测对于资源勘探和监测至关重要.
- 由于无线通道衰减和测量异常值 (MO),现有的方法难以准确的首次到达选择.
- 信号扭曲和异常值抑制难度限制当前递归状态估计技术.
研究的目的:
- 为微地震事件检测开发一个强大的递归状态估计算法.
- 为了减轻无线通道色和测量异常值对到达时间采集精度的影响.
- 在现实工程场景中提高微地震数据处理的可靠性.
主要方法:
- 建立了微地震系统的信号模型,其中无线传输通道色.
- 提出了一种具有自适应和函数 (SSF) 的递归波器,以解决测量异常值 (MO).
- 通过最小化波器误差共变率的上限矩阵来导出波器增益.
主要成果:
- 开发的算法有效地抑制了测量异常值 (MO) 的负面影响.
- 在无线通道色的场景中观察到更好的过性能.
- 实验结果验证了拟议方法在现有方法上的优越性和有效性.
结论:
- 新的递归过器显著提高了微地震监测中首次到达事件检测的准确性.
- 自适应和函数 (SSF) 在杂环境中有效处理测量异常值 (MO).
- 该研究为在具有挑战性的无线传输条件下微地震数据处理提供了强大的解决方案.
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