Well-log analysis using multilayer neural networks to classify facies

Author

Malki, Heidar A. ; Baldwin, Jeffrey L.

Author_Institution

Electr.-Electron. Technol. Dept., Houston Univ., TX, USA

fYear

1992

fDate

17-19 Sep 1992

Firstpage

483

Lastpage

486

Abstract

A supervised neural network was used to classify facies from well log data. Multilayer neural networks based on the backpropagation training algorithm were used. The result is compared to a sedimentologist´s classification of facies. This neural network approach correctly classified the majority of facies

Keywords

backpropagation; feedforward neural nets; image recognition; backpropagation training; facies classification; image recognition; multilayer neural networks; sedimentologist´s classification; supervised neural network; well log analysis; Acoustic measurements; Artificial neural networks; Computer networks; Economic forecasting; Electromagnetic measurements; Foot; Humans; Multi-layer neural network; Neural networks; Petroleum;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering, 1992., IEEE International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-0734-8

Type

conf

DOI

10.1109/ICSYSE.1992.236984

Filename

236984

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3315685