Abstract：In view of the fact that existing high-resolution geophysical logging techniques have severe limitation, a new high-resolution processing technique for geophysical logging data has been developed which is based on resolution information entropy. Resolution information entropy is defined as the times for which a logging curve goes across zero line after average value is subtracted from the curve;and it means resolution level of logging curve and is a measure of resolution information. Resolution information entropy is characterized as definiteness, nonnegativeity, additivity, relativity and so on. Characteristics of resolution information curve in frequency domain are as followssamplitude decreases with the increase of frequency till a frequency value; both effective frequency band width and amplitude of the low frequency part decrease with the variation of resloution information curve. Thus, the resolution information entropy of logging curve may be improved by changing frequency structure, so that the r4sclution of logging curve will be ameliorated desirably. In this technique, a high-resolution logging curve is taken as standard curve to adjust frenuency structure of a matched logging curve, or to add the frequency involving high-resolution informations to the matched curve to thus improve resolution of the matched curve. All matched curves refer to standard logging curve and only resolution informations are processed, so that processed logging curves have reliable resolution and correct values.
