物探与化探2025，Vol.49Issue(2)：378-384,7.DOI:10.11720/wtyht.2025.1395
地震资料处理中油井抽油机噪声干扰智能检测与压制方法
Intelligent detection and suppression methodology for noise interference of oil well pumping units in seismic data processing
摘要
Abstract
Noise detection and suppression of oil well pumping units pose challenges in data processing for mature exploration areas.The conventional method in the industry is to identify pumping unit noise through manual interactions and then suppress it as high-am-plitude interference.However,manual identification wastes manpower and yields low detection accuracy,often resulting in missed detec-tions.Hence,based on the noise characteristics of pumping units,this study conducted noise detection on seismic data containing pum-ping unit noise using deep learning methods.It then estimated the bandwidth of the detected noise using mathematical morphology tech-niques to determine the final position and distribution pattern of the noise.This allows for adaptive parameter support for the anomalous amplitude attenuation(AAA)method to achieve automatic detection and efficient suppression of pumping unit noise.The processing re-sults of actual seismic data reveal that the methodology used in this study enables intelligent detection of pumping unit noise,significant-ly reducing the manual effort required for noise identification,improving the detection accuracy,and enhancing the fidelity and robust-ness of the AAA method.关键词
抽油机噪声/地震资料处理/深度学习/噪声检测与压制Key words
pumping unit noise/seismic data processing/deep learning/noise detection and suppression分类
天文与地球科学引用本文复制引用
张猛..地震资料处理中油井抽油机噪声干扰智能检测与压制方法[J].物探与化探,2025,49(2):378-384,7.基金项目
中国石化股份公司科研项目"基于AI地震资料自动化处理技术研究"(P20052-2) （P20052-2）
