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