Accurate measurement of actual geophysical properties, with well-logging curves, for thin layers and thin alternate layers is of great importance in the identification and interpretation of oil beds, especially the processing and interpretation of geophysical well-logging data from continental oil beds. In this paper, the authors present a definition of well-logging measurement. Fractal theory shows an exponential relationship that is present between measure and scale. This exponential relationship can be used to obtain or reconstruct well-logging curves, reflecting local variations in the structure of well-logging curves and correcting some errors in survey measurements such as the stratigraphic sliding average caused by the well-logger. This method has been tested with intermediate- and deep-induction electrical conductivity well-logging curves obtained from Ocean Drilling Project (ODP) Hole 797C, Leg 127. A comparison between the original and corrected well-logging curves and their corresponding power spectral curves indicates that the corrected well-logging curves are more effective than the original well-logging curves in terms of resolution enhancement, because the corrected well-logging curves eliminate part of the interference from neighboring strata and contain more frequency spectral components. Therefore, the fractal corrected method can be used to increase the resolution of well-logging curves to detect thin stratigraphic layers.