无线节点状态数据与地震数据关系的探讨

Investigating the Correlation Between Wireless Node Status Data and Seismic Data

采用HyperQ质控技术可监控节点的工作状态,但在面对大排列、长偏移距和复杂工作环境等挑战时,发现并及时处理任何指标不合格的节点变得异常困难,特别是在复杂区域,会显著增加经济成本和操作难度。本文通过数据统计的方法,研究了节点状态数据与地震数据之间的关系,明确了能够指示地震数据质量的主要指标,当这些指标出现异常时,地震数据极有可能存在异常。在施工中,可以集中有限的资源,及时处理主要指标异常的节点,从而在经济成本可承受的前提下提高地震采集资料的质量。将本文方法应用于海外某项目中,在经济成本基本不增加的情况下,将单炮中异常道比例低于3%的单炮比例从83.75%提高到了95.74%。

HyperQ quality control technology implements the monitoring of node’s status.However,when faced with such challenges as wide spread,broad offset,and complex work environments,identifying and addressing any non-compliant indicators becomes exceedingly difficult,particularly in intricate regions.As a result,it leads to leading to greater economic costs and moreoperational complexities.This paper,employing statistical data analysis,explores the relationship between node status data and seismic data.It distinctly identifies primary indicators that can signal the quality of seismic data.When these indicators exhibit abnormalities,there is a heightened likelihood of seismic data anomalies.In practical construction scenarios,resources can be efficiently allocated to address nodes with significant indicator anomalies,ultimately enhancing seismic data quality within the bounds of acceptable economic costs.Applying the approach outlined in this paper to an oversea project,the proportion of single-shot data with less than 3%abnormal traces improved from 83.75% to 95.74%,without any increased economic costs.