Abstract：Logging response characteristics in shale oil & gas reservoirs are different from that in conventional reservoirs, mudstones and calcareous rocks. Shale oil & gas reservoirs usually have the response characteristics of high natural gamma, high compensated neutron, high resistivity, high compressional wave slowness, low bulk density and low photoelectric absorption index. And their rock physical volume models are more complex than that of conventional reservoirs. Using conventional well logging data the accuracy of reservoir parameter interpretation cannot be good. In this paper, an optimized approach from multi-mine soft model is applied to calculate mineral volumes, porosity, water saturation and total organic content through jointly using conventional logging and elemental capture spectroscopy logging data and establishing the mineral volume model. We also discuss evaluation methods of shale oil & gas reservoir parameter and these parameters are important in the evaluation of shale oil & gas reservoir.
