Water Content Prediction in Geophysical Exploration Based on BP Network

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 224)

Abstract

This research is adopting neural network technology for the use of a number of known geophysical testing the well Pumping test data to the geophysical parameters of aquifer discharge umts with single-hole model composed of the training sample set, establishing the err BP network forecasting model for regional geophysical methods unknown under ground water content prediction, this will be major improvement to the traditional water content prediction.

Keywords

Artificial Networks Integrated Geophysical methods Water content prediction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Geophysical Research InstituteZhongyuan Oilfield Company, SINOPECPuyangChina

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