基于小波Mallat算法的自然电位曲线基线漂移校正方法研究  

Study on the Correction Method for Baseline Drift of Spontaneous Potential Curve Based on Mallet Wavelet Algorithm

作　　者：杨怀杰 乔宝强[1] 黄笑 王祥超 YANG Huaijie;QIAO Baoqiang;HUANG Xiao;WANG Xiangchao(Beijing Research Institute of Uranium Geology,CNNC,Beijing 100029,China;Geological Party No.243,CNNC,Chifeng,Inner Mongolia 024000,China)

机构地区：[1]核工业北京地质研究院,北京100029 [2]核工业二四三大队,内蒙古赤峰024000

出　　处：《铀矿地质》2024年第2期294-300,共7页Uranium Geology

基　　金：中国核工业地勘基金项目“铀矿测井数据处理解释一体化网络平台研发”(编号:2022-15-3)资助。

摘　　要：在石油、煤田及金属矿勘探中,自然电位测井能够用于渗透性地层划分、地层水电阻率确定、地层对比和沉积相分析等。由于受钻孔内环境、地面电极环材质和探管结构等多种因素的影响,自然电位曲线存在基线漂移、分辨率低、干扰大等问题,尤其是自然电位曲线的基线漂移,影响了测井曲线的质量,降低了测井曲线的解释精度。因此,文章提出了一种基于小波分解与重构算法的自然电位曲线基线漂移校正的方法,对地浸砂岩铀矿成矿预测和环境分析具有重要的指导意义。In the exploration of oil,coal and metal deposits,spontaneous potential logging can be used for the division of permeable strata,determination of formation water resistivity,stratigraphic correlation and analysis of sedimentary facies.Due to the influence of factors such as the internal environment of the borehole,the material of the ground electrode ring and the structure of the probe tube,the SP curve meets problems such as baseline drift,low resolution,and large interference,especially the baseline drift of the SP curve,which will affect the quality of the logging curve and reduce the interpretation accuracy of the logging curve.This paper proposed a method based on wavelet decomposition and reconstruction algorithm to correct the baseline drift of spontaneous potential curve,which can better divide the permeable strata,therefor has important guiding significance for the metallogenic prediction and environmental analysis of in-situ leached sandstone uranium deposits.

关 键 词：自然电位 基线漂移 砂岩铀矿 小波变换 小波系数 

分 类 号：P619.14[天文地球—矿床学]