Abstract: Dingshan block is another shale gas source of 100 billion square meters. However, compared with other shale gas blocks, the logging response of the reservoir in Dingshan block is less correlated with the reservoir parameters, and because the formation pressure changes greatly, it is easy to cause the wellbore to collapse, resulting in that the parameter evaluation system dominated by density curve applied in other bolcks is challenged in this block. This paper analyzed the relationship between log response characteristics and core experimental data of key wells in Dingshan block to determine their correlation, and established evaluation models of organic carbon content, porosity, minerals content and water saturation by combining the empirical statistics and apparent skeletal density method. Compared with core experimental parameters, the relative error of the parameters calculated by the model based on uranium content curve is less than 8%, with high precision. So the model is significantly better than the model dominated by density curve, it can meet the needs of actual reservoir evaluation and the calculation requirements of reserves, and also provide corresponding support for the exploration and development of shale gas reservoir in Dingshan block.

Key words: empirical statistical method, apparent skeletal density method, reservoir parameter, logging response, shale gas, Dingshan block