There is plenty of low resistivity reservoir in the western south China sea, it is difficult to identify and evaluate the low resistivity reservoir effectively using the conventional logging data, according to the logging response characteristics of low resistivity reservoir. This paper analyzed the macro feature and microscopic pore structure of formation combined with the core data, and pointed out that the main geologic origin for the property of low resistivity is the high content of clay and bound water. In response to the identification and evaluation of low resistivity reservoir, firstly, we applied the ΔlgR technology which is usually used in logging evaluation of source rock, the second is multiple mineral analysis to construct the multiple mineral model by choosing the appropriate component of formation mineral and fluid, so as to solve the equations based on the principle of least square and optimization technique, so, we can get multiple mineral section and reservoir parameter, combining with the characteristic of NMR T2 spectra, the distribution of pore size,clay water and bound water and others NMR logging results, finally, we make comprehensive estimation for low resistivity reservoir based on the qualitative identification and tested by production. We calculate the reservoir parameters including the shale content, porosity, total saturation, mobile fluid saturation, clay water saturation and the volume content of all kinds of rock mineralogical composition in the formation, then, using the sealed coring data to calibrate the final interpretation, and ascertaining that there is a good consistency between them. The result indicates that the methods we used in the paper can offer an effective identification and quantitative evaluation for the low resistivity reservoir.