Study on logging curve prediction method of arganic matter abundance in coal measure hydrocarbon source rock

In order to explore the relationship between organic matter abundance in coal measure hydrocarbon source rock and the logging data,a Carboniferous-Per mian coal measure hydrocarbon source rock stratum in Su 50 exploration well of Jizhong Depression Area was selected as the study object,based on the organic carbon co ntent,the coal measure hydrocarbon source rock was divided to a dark mudstone ,carbonaceous mudstone and coal.△logR Method and multiple regression method were in dividually applied to the prediction and comparison analysis on the organic carbon content in the area. The results showed that OlogR Method was applied to calculate the organic content of the coal measure hydrocarbon source rock and the prediction effect of the dark mudstone and seam was good. With the establishment of the relationship between the logging parameters and the organic carbon content,a multiple regression on the dark mudstone was conducted with the selected related high coefficient acous tic travel time and density parameters. The natural potential and the density parameters were applied to the multiple regression calculation of the seam organic carbon cont ent. A relative error of the calculated organic carbon content and the measured organic carbon content was the same basicly and a good prediction effect was obtained.