油气井套管电磁数据分段动态自适应降噪方法

Segmented dynamic adaptive noise reduction method for eddy current detection data of oil and gas well casing

摘要:

针对脉冲涡流技术在油气井套管检测过程中易受到环境影响而产生的噪声干扰问题，提出一种油气井套管电磁检测数据的分段动态自适应降噪方法。通过对比分析仿真信号、实验井检测信号与实测井检测信号的差异，结合实际检测过程中的噪声来源分析，建立了基于偏心-抖动-温度影响因素的检测信号补偿模型。基于该补偿模型训练得到油气井套管电磁检测数据的分段动态自适应降噪模型。测井数据消噪实验结果表明，所研究方法与常用的降噪方法相比能更好地抑制实际检测过程中偏心、抖动及温度因素带来的噪声影响，具有应用和借鉴价值。

Abstract:

In view of the problem of noise interference caused by environmental influence in the process of oil and gas well casing detection, a phased dynamic adaptive noise cancellation method of electromagnetic data of oil and gas well casing is proposed. By comparing the differences among the simulation signal, the detection signal of experimental well and the detection signal of actual well, and combining with the analysis of the noise source in the actual detection process, a detected signal compensation model based on the influence factors of eccentricity jitter temperature is established. Based on the compensation model, a segmented dynamic adaptive noise reduction model of casing electromagnetic testing data is trained. The experimental results show that the method can better reduce the noise information in the logging, which has certain application value.