石油物探2024，Vol.63Issue(4)：735-745,11.DOI:10.12431/issn.1000-1441.2024.63.04.003
无线节点状态QC与资料品质关系研究与应用
Research and application of the relationship between wireless node status QC and seismic data quality
摘要
Abstract
With the development of high-density acquisition technology,the size of pattem larger and larger,and the number of wireless acquisition node instrument used for receiving also increases exponentially.The node status quality control method based on WiFi and Bluetooth cannot meet the requirements of completing the node status quality control before daily acquisition.To this end,a quality control technology based on LoRa communication technology and LoRaWAN communication protocol is introduced,and the UAV is equipped with a LoRa gateway to achieve near real-time quality control of the node status.By analyzing the Hy-perQ quality control data of the Quantum node,the three basic information with the highest frequency of abnormal states were de-termined,and the relationship between the node state quality control data and seismic data was deeply discussed,and the method of node replacement in complex operation areas was proposed.We also suggested that the node state quality control method and the seismic data quality control method should be comprehensively applied in the process of wireless node acquisition to jointly monitor the acquisition quality of seismic data.In the swamp area of Project X in South America,based on the principle of node replace-ment,the comprehensive QC techniques were adopted,to increase Class-A single-shot gathers by 9.72％on the premise of control-ling cost.The QC requirements were satisfied,and the quality of newly collected seismic data has been greatly improved.关键词
无线节点采集/LoRa技术/HyperQ质控技术/地震数据属性评价/单炮采集质量指标Key words
wireless node acquisition/LoRa technology/HyperQ quality control/attribute evaluation/quality index of single-shot gather分类
地质学引用本文复制引用
田新琦,蔡存军,瞿维迎,孟祥顺,路交通..无线节点状态QC与资料品质关系研究与应用[J].石油物探,2024,63(4):735-745,11.基金项目
中石化石油工程地球物理有限公司项目(SGC-2022-18)资助.This research is financially supported by the Sinopec Geophysical Corporation Program(Grant No.SGC-2022-18). （SGC-2022-18）
