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Применение алгоритмов обработки и анализа Ð³ÐµÐ¾Ð»Ð¾Ð³Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ Ð² Ð·Ð°Ð´Ð°Ñ‡Ð°Ñ Ð¿Ñ€Ð¾Ð³Ð½Ð¾Ð·Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ñ качества разработки

выпускная квалификационная работа магистра
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2018 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/2/v18-3082

Применение алгоритмов обработки и анализа Ð³ÐµÐ¾Ð»Ð¾Ð³Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ Ð² Ð·Ð°Ð´Ð°Ñ‡Ð°Ñ Ð¿Ñ€Ð¾Ð³Ð½Ð¾Ð·Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ñ качества разработки

Abstract

Данная работа посвящена обзору и разработке алгоритмов машинного обучения применительно к задачам нефтедобычи. Ð’ работе приводится краткий экскурс в существующие алгоритмы и модели обработки Ð±Ð¾Ð»ÑŒÑˆÐ¸Ñ Ð¾Ð±ÑŠÐµÐ¼Ð¾Ð² Ð´Ð°Ð½Ð½Ñ‹Ñ . Описывается обоснование выбора Ð¿Ð¾Ð´Ñ Ð¾Ð´ÑÑ‰ÐµÐ¹ в ÑƒÑÐ»Ð¾Ð²Ð¸ÑÑ Ð¿Ð¾ÑÑ‚Ð°Ð²Ð»ÐµÐ½Ð½Ð¾Ð¹ задачи модели и производится ее настройка на пред Ð¾Ð±Ñ€Ð°Ð±Ð¾Ñ‚Ð°Ð½Ð½Ñ‹Ñ Ð²Ñ Ð¾Ð´Ð½Ñ‹Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ .

Keywords

Нефтедобыча, Нейронные сети, машинное обучение, Алгоритмы, Геология, Математическое моделирование

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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