PREDICTION TO SAND PRODUCTION IN FORMATION BY ARTIFICAL NEURAL NETWORK TECHNOLOGY

A new method to predict sand production in oil and gas by the Artificial Neural Network (ANN) is described in the paper. Viscous oil reservoirs are characterized by poor consolidation, poor diagenesis.Especially, the oil is highly viscous in Du32 of Liaohe Oilfield and Cheng Bei of Shengli Oilfield.There exists great deviation resulted from the sand production predicted by traditional methods in the test. Moreover, lack of the whole core samples in the two blocks, the method of core flow experiment to predict sand production is much too inaccurate.In order to settle the problem, the method of sand production predicted by ANN is applied in the two oilfields.According to the field data of the formation, fluid, log analysis and performance in oil and gas wells, based on the analy sis of sand production factors, BP Artificial Neural Network is used to predict sand production by studying samples.The application in this two fields shows the good results can be produced by the method of ANN.