Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)

The article describes the use of an artificial neural network to calculate porosity in the West Siberian oil and gas province for the UK2–7 strata. The estimated porosity was compared with core porosity data. Correlation coefficient between core samples porosity and well logging porosity (using the...

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Main Authors:	Lisovskaya E.A., Platov B.V.
Format:	Article
Language:	English
Published:	EDP Sciences 2021-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_07005.pdf

id	doaj-61e667eaa7e84e86906d114f0d510174
record_format	Article
spelling	doaj-61e667eaa7e84e86906d114f0d5101742021-06-11T07:19:05ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012660700510.1051/e3sconf/202126607005e3sconf_ti2021_07005Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)Lisovskaya E.A.Platov B.V.The article describes the use of an artificial neural network to calculate porosity in the West Siberian oil and gas province for the UK2–7 strata. The estimated porosity was compared with core porosity data. Correlation coefficient between core samples porosity and well logging porosity (using the neural network) showed higher values in comparison with traditional methods of porosity estimation.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_07005.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Lisovskaya E.A. Platov B.V.
spellingShingle	Lisovskaya E.A. Platov B.V. Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia) E3S Web of Conferences
author_facet	Lisovskaya E.A. Platov B.V.
author_sort	Lisovskaya E.A.
title	Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)
title_short	Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)
title_full	Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)
title_fullStr	Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)
title_full_unstemmed	Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)
title_sort	application of neural network technology to calculate well logging porosity on the example of uk2-7 formations in the yelizarovsky deflection (western siberia)
publisher	EDP Sciences
series	E3S Web of Conferences
issn	2267-1242
publishDate	2021-01-01
description	The article describes the use of an artificial neural network to calculate porosity in the West Siberian oil and gas province for the UK2–7 strata. The estimated porosity was compared with core porosity data. Correlation coefficient between core samples porosity and well logging porosity (using the neural network) showed higher values in comparison with traditional methods of porosity estimation.
url	https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_07005.pdf
work_keys_str_mv	AT lisovskayaea applicationofneuralnetworktechnologytocalculatewellloggingporosityontheexampleofuk27formationsintheyelizarovskydeflectionwesternsiberia AT platovbv applicationofneuralnetworktechnologytocalculatewellloggingporosityontheexampleofuk27formationsintheyelizarovskydeflectionwesternsiberia
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Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)

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