The study of correcting the data of monitoring fracture azimuth based on neural network

The surface of oil and gas field is complex.To find out the position of hydraulic fracture azimuth of oil and gas field,we released solution of correcting the data of monitoring fracture based on BP neural network by dividing the potential gradient response into normal field and abnormal field on the condition that the electrodes are arranged asymmetric on complex surface,estimate the abnormal field brought about by the asymmetric electrodes by using neural network and remove it from the potential gradient response,the results are the potential gradient response of symmetric electrodes and it is normal field response.Three dimensional well-to-ground resistivity method forward modeling simulates the fracture monitoring process whose results indicate that neural network can effectively estimate the abnormal field.which greatly improves the accuracy of potential gradient response to fracture azimuth.And there will be much more application prospect.