The invention belongs to the technical field of mineral calculation and
reservoir evaluation, and particularly discloses an electric imaging
logging mineral component quantitative characterization method based on
porosity spectrum correction, which comprises the following steps: preprocessing original electric imaging
logging data, and generating a high-density
pixel image; performing probability density
statistical analysis on the pixel value of each depth point in the high-density
pixel image to obtain a pixel waveform spectrum; calculating the apparent
porosity of each pixel point in the high-density
pixel image to generate a pore spectrum; performing
pore fluid influence correction on the original
electrical imaging data based on the pore spectrum, performing
image enhancement to generate a pure mineral pixel waveform spectrum, and performing
equalization processing to obtain an imaging mineral probability map; according to mineral content data obtained through core XRD total rock analysis, an imaging mineral spectrum is subjected to quantitative calibration, and distribution
cut-off threshold values and pixel point value ranges corresponding to different minerals are recognized and deduced. The method can effectively solve the
calculation error caused by the influence of the traditional imaging mineral calculation fluid on mineral calculation.