Application of SOM Neural Network in Lithology Recognition

Qi Hua Hu; Cong Wang; Xin Zhang; Jing Jing Fan

doi:10.4028/www.scientific.net/AMM.713-715.2169

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Application of SOM Neural Network in Lithology...

Application of SOM Neural Network in Lithology Recognition

Abstract:

In order to improve the speed and accuracy of lithology identification with logging data, according to the advantage of the recognition of linear distribution with SOM network, a identification model was established to recognize lithology in northern Qaidam basin. Firstly, the input data of logging curves are normalized, and then continuously trained network separately for 30 times, 50 times, 100 times, 200 times, 500 times, 1000 times, and the final results had shown that it did the best when it’s on 200 times, and the accuracy almostly reached 93 percent. Finally, the model was applied in other district which had the same geology background, and it also apparently displayed more efficient than other traditional method.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2169-2172

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2169

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Online since:

January 2015

Authors:

Qi Hua Hu*, Cong Wang, Xin Zhang, Jing Jing Fan

Keywords:

Lithology Identification, Log Interpretation, SOM Network

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* - Corresponding Author

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