Application of Information Fusion Method Based on Generalized Regression Neural Network in Hydrocarbon Reservoir Evaluation Studies

Identify the hydrocarbon reservoir quickly and accurately under complex geological environment which is an important field of academic research at home and abroad. This paper presents an information fusion method based on Generalized Regression Neural Network (GRNN) which solves the problem of the low recognition accuracy and efficiency in the exploration of hydrocarbon reservoir. Through a practical example compared with BP neural network in the hydrocarbon reservoir identification results, indicating that the information fusion method based on GRNN has the advantages of simple structure, quick convergence, and accurate prediction. The information fusion method based on GRNN has broad application prospects in hydrocarbon reservoir identification.