From a long time in the past, it was very troublesome to evaluate source rock because of the insufficiency of the core information. As a new branch of logging geology, logging identification provides a feasible way to evaluate source rock. It takes full use of the logging data with the high vertical resolution to carry out the prediction the content of total organic carbon. It provides basic geological information for the calculation of the reserve and the strategy making on exploration and production. The paper firstly analyse ?logR method, then a model of source rock predicting is set up base on the statistical theory and artificial neural network theory. Through practically applying it to some wells in Cambrian-Ordovician of Tarim basin, it is indicated that this method is useful, efficient and reliable.


Total organic carbon(TOC) is the key index to indicate the organic content of source rock.

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