PREDICTION OF POROSITY BASED ON BP ARTIFICIAL NEURAL NETWORK WITH WELL LOGGING DATA

LIAN Cheng-bo~1,LI Han-lin~1,QU Fang~1,CAI Fu-long~2,ZHANG Jun-tao~3

doi:10.11764/j.issn.1672-1926.2006.03.382

Natural Gas Geoscience >

2006 , Vol. 17 >Issue 3: 382 - 384

DOI: https://doi.org/10.11764/j.issn.1672-1926.2006.03.382

PREDICTION OF POROSITY BASED ON BP ARTIFICIAL NEURAL NETWORK WITH WELL LOGGING DATA

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1.Scholl of Earth Resources and Information,China University of Petroleum,Dongying 257061,China;2.Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China;3.The Department of Earth Science,Nanjing University,Nanjing 210093,China

Received date: 2005-09-07

Revised date: 2006-03-08

Online published: 2006-06-20

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Abstract

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.

Cite this article

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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