Shale oil reservoir is a source-reservoir-caprock integration characterized by dual-porosity with nano-pores being dominant.Oil mobility in the reservoir is one of the key geological factors for the commercial resource development with success.Shale oil resource evaluation method based on conventional reservoir volumetric approach is subject to the pore structure of simple matrix and not applicable to assess the resources according to their states of occurrence in reservoir.As such it cannot provide adequate information with respect to oil and gas mobility for making resource development decisions.The state of occurrence of shale oil and gas is primarily controlled by the maturity and types of source rocks

and Rock-Eval pyrolysis data contain critical information related to source rock types and maturity.According to the states of oil occurrence in shale reservoir

the oil and gas resources are divided into three categories:non-movable (adsorbed)

restricted

and movable resources

to quantitatively describe the mobility of oil and gas in shale reservoir.Combined with the production and reservoir data from the Upper Devonian Duvernay shale oil field in the Western Canada Sedimentary Basin

empirical models are established for assessing resources in terms of shale oil reservoir parameters and pyrolysis data

and then oil formation volume factor is used to estimate the evaporative loss of light hydrocarbons for pyrolysis parameter (S1)during coring and sampling.A single well evaluation of Duvernay shale oil and gas resource potential in Well 8-32-46-9W5 is taken as an example to introduce the principles and demonstrate the application of the proposed method in shale oil resource assessment.The resource potential of the block with Well 8-32-46-9W5 as its core calculated by this method and with 10% recovery discounted

is consistent with the result derived from production decline model based on actual production data in adjacent areas

which demonstrates that the shale oil resource assessment method proposed here based on pyrolysis data and hydrocarbon generation kinetics model is feasible.