AN ARTIFICIAL NEURAL NETWORK-BASED METHOD FOR EVALUATING THE OIL PROSPECTS OF ROCKS

The calculating method of neural networks is a new way to discuss problems by simulating the mechanism of activities of human body network systems. Based on the SOM artificial neural network model advanced by T. Kohonen, an artificial network model for evaluating the oil prospects of rocks is built in this paper by taking the main reservoirs of Cainan oil field in the Junggar Basin as an example. The case study indicates that the method of artificial neural networks has good performance and is an effective way to evaluate the oil prospects of rocks.