PREDICTION OF POROSITY BASED ON BP ARTIFICIAL NEURAL NETWORK WITH WELL LOGGING DATA
Received date: 2005-09-07
Revised date: 2006-03-08
Online published: 2006-06-20
Analyzing the shortcoming of porosity prediction,and considering the relationships between reservoir porosity and well logging data,the BP network model of prediction of reservoir porosity was established by means of BP network method of ANN theory.The error analysis and practical use show that the BP network method to predicting reservoir porosity is a feasible method.
Key words: Logging data; BP artificial neural network; Porosity prediction.
LIAN Cheng-bo~1,LI Han-lin~1,QU Fang~1,CAI Fu-long~2,ZHANG Jun-tao~3 . PREDICTION OF POROSITY BASED ON BP ARTIFICIAL NEURAL NETWORK WITH WELL LOGGING DATA[J]. Natural Gas Geoscience, 2006 , 17(3) : 382 -384 . DOI: 10.11764/j.issn.1672-1926.2006.03.382
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