KFU. Card publication. Spectral Noise Logging Data Processing Technology

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

SPECTRAL NOISE LOGGING DATA PROCESSING TECHNOLOGY

Form of presentation

Articles in international journals and collections

Year of publication

2012

Язык

английский

Authors, employees of KFU

Bochkarev Vladimir Vladimirovich, author

Maslennikova Yuliya Sergeevna, author

Savinkov Andrey Vladimirovich, author

Other authors

Davydov Dmitriy Aleksandrovich, author

Bibliographic description in the original language

Maslennikova, Y. S., Bochkarev, V. V., Savinkov, A. V., & Davydov, D. A. (2012, January 1). Spectral Noise Logging Data Processing Technology. Society of Petroleum Engineers. doi:10.2118/162081-MS

Annotation

SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition, 16-18 October, Moscow, Russia

Keywords

noise logging, wavelet thresholding, filtering

The name of the journal

SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition, 16-18 October, Moscow, Russia

URL

https://www.onepetro.org/conference-paper/SPE-162081-MS

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=191359&p_lang=2

Resource files

File name	Size (MB)	Format
SPE_162081_Spectral_noise_logging_data_processing_technology.pdf	0,98	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bochkarev Vladimir Vladimirovich	ru_RU
dc.contributor.author	Maslennikova Yuliya Sergeevna	ru_RU
dc.contributor.author	Savinkov Andrey Vladimirovich	ru_RU
dc.contributor.author	Davydov Dmitriy Aleksandrovich	ru_RU
dc.date.accessioned	2012-01-01T00:00:00Z	ru_RU
dc.date.available	2012-01-01T00:00:00Z	ru_RU
dc.date.issued	2012	ru_RU
dc.identifier.citation	Maslennikova, Y. S., Bochkarev, V. V., Savinkov, A. V., & Davydov, D. A. (2012, January 1). Spectral Noise Logging Data Processing Technology. Society of Petroleum Engineers. doi:10.2118/162081-MS	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=191359&p_lang=2	ru_RU
dc.description.abstract	SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition, 16-18 October, Moscow, Russia	ru_RU
dc.description.abstract	Rational development of oil and gas reservoirs is possible only with efficient monitoring by various well logging techniques. This paper presents algorithms for processing data acquired by spectral noise logging (SNL) in memory mode. The SNL technology is designed to identify flowing reservoir intervals, cross-flows behind casing and tubing and casing leaks by spectral analysis of recorded noise signals. While moving through a reservoir, fluids and gases create turbulence and rock vibrations that in turn generate noise. This acoustic noise is recorded with a noise logging memory tool consisting of a high-sensitivity piezoelectric hydrophone sensor and an amplifier and data collection module. The tool records acoustic signals in the frequency range of 15 Hz to 60 kHz. The existing SNL technology excludes intense broadband noise created by the movement of the tool in the well. Useful information is extracted from background noise using a technique based on wavelet thresholding.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	noise logging	ru_RU
dc.subject	wavelet thresholding	ru_RU
dc.subject	filtering	ru_RU
dc.title	Spectral Noise Logging Data Processing Technology	ru_RU
dc.type	Articles in international journals and collections	ru_RU