The invention discloses a natural crack identification method and
system based on micro-
electrode logging data. The method comprises a step of determining substrate resistivity characteristics of a crackless formation, a step of obtaining resistivity characteristics of a cracked formation and determining resistivity
response characteristics of the cracked formation, a micro-
electrode logging resistivity crack identification threshold, a micropotential and a microgradient crack resistivity
differential threshold, a step of carrying out flex point analysis on a micro-
electrode logging resistivity curve, obtaining micro-electrode logging resistivity flex
point data, and extracting a depth position of crack development; and a step of identifying a crack according to the substrate resistivity characteristics of the crackless formation, the micro-electrode logging resistivity crack identification threshold, the micropotential, the microgradient crack resistivity
differential threshold and the micro-electrode logging resistivity flex
point data and calculating a logging response index of the crack. According to the method and the
system, the recognition and evaluation of a single crack are achieved, the uncertainty factors of a traditional method are reduced, the precision is improved, and a reliable data basis is provided for the three-dimensional crack modeling of a cracked oil andgas reservoir.