| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2012 |
| Язык | английский |
|
Бочкарев Владимир Владимирович, автор
Масленникова Юлия Сергеевна, автор
Савинков Андрей Владимирович, автор
|
|
Давыдов Дмитрий Александрович, автор
|
| Библиографическое описание на языке оригинала |
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 |
| Аннотация |
SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition, 16-18 October, Moscow, Russia |
| Ключевые слова |
noise logging, wavelet thresholding, filtering |
| Название журнала |
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 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=191359 |
| Файлы ресурса | |
|
|
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Бочкарев Владимир Владимирович |
ru_RU |
| dc.contributor.author |
Масленникова Юлия Сергеевна |
ru_RU |
| dc.contributor.author |
Савинков Андрей Владимирович |
ru_RU |
| dc.contributor.author |
Давыдов Дмитрий Александрович |
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/?p_id=191359 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
EN 
中文 
ES 
Карта сайта
