Zastosowanie sztucznej inteligencji w inżynierii złożowej i modelowaniu procesu eksploatacji złóż węglowodorowych

Nagy, Stanisław; Barbacki, Jan; Klimkowski, Łukasz; Siemek, Jakub

Artykuł - szczegóły

Tytuł artykułu

Zastosowanie sztucznej inteligencji w inżynierii złożowej i modelowaniu procesu eksploatacji złóż węglowodorowych

Autorzy

Nagy Stanisław , Barbacki Jan , Klimkowski Łukasz , Siemek Jakub

Wybrane pełne teksty z tego czasopisma

https://www.sitpnig.pl/archiwum-wnig

Identyfikatory

Warianty tytułu

Application of artificial intelligence in reservoir engineering and modeling of hydrocarbon exploitation processes

Języki publikacji

Abstrakty

Rozwojowi technik komputerowych w ostatnich pięćdziesięciu latach towarzyszy gwałtowny rozwój nowej dziedziny wiedzy jaką jest sztuczna inteligencja. Inżynieria złożowa korzysta z technik sztucznej inteligencji (SI) od lat siedemdziesiątych ubiegłego wieku. Artykuł opisuje zastosowania SI w geologii, geofizyce, inżynierii złożowej i eksploatacji złóż węglowodorowych. Omówiono możliwości stosowania SI do tworzenia tzw. „zastępczych” modeli złożowych i możliwości wykorzystywania ich w szacowaniu zasobów wydobywalnych metodami probabilistycznymi, wykorzystującymi zarówno podstawowe dane geologiczne (reservoir quality) ale również metody wydobycia i stymulacji (completion quality) dla złóż niekonwencjonalnych gazu ziemnego w złożach mułowcowo-łupkowych. Istotą takiego modelowania jest możliwość stosowania oszacowań zasobów technicznie wydobywalnych w strefie oddziaływania odwiertów i odpowiedniego planowania rozwiercania i udostępniania odwiertów. Przedstawione techniki mogą być adaptowane do złóż metanu w pokładach węgla i złóż piaskowcowych o niskich parametrach (tzw. złóż „tight”), po uwzględnieniu specyfiki tych złóż i specyfiki ich udostępnienia otworami pionowymi, kierunkowymi, poziomymi i otworami typu „u-shape”.

The development of computer techniques in the last fifty years is accompanied by the rapid growth of artificial intelligence in technology. Reservoir engineering has been using artificial intelligence (AI) techniques since the 1970s. The article describes the application of artificial intelligence in geology, geophysics, reservoir engineering, and hydrocarbon reservoir exploitation processes. The possibilities of using artificial intelligence to create the so-called "surrogate" reservoir models and the possibility of using them in estimating recoverable resources by probabilistic methods for unconventional natural gas shale reservoirs is presented. Using these techniques it is the possibility of estimates of technically recoverable resources in the stimulated reservoir volume and proper planning of drillings. The presented methods can be adapted to coal bed methane reservoirs and the tight gas reservoirs, taking into account the specificity of these rocks.

Słowa kluczowe

inżynieria złożowa sztuczna inteligencja złoża węglowodorów eksploatacja złóż węglowodorowych proces eksploatacji

reservoir engineering artificial intelligence hydrocarbon reservoir hydrocarbon exploitation exploitation process

Wydawca

Stowarzyszenie Naukowo-Techniczne Inżynierów i Techników Przemysłu Naftowego i Gazowniczego

Czasopismo

Wiadomości Naftowe i Gazownicze

Rocznik

2019

Tom

R. 22, Nr 8 (250)

Strony

4--15

Opis fizyczny

Bibliogr. 99 poz., rys., tab.

Twórcy

autor

Nagy Stanisław

Wydział Wiertnictwa, Nafty i Gazu AGH w Krakowie

autor

Barbacki Jan

Wydział Wiertnictwa, Nafty i Gazu AGH w Krakowie

autor

Klimkowski Łukasz

Wydział Wiertnictwa, Nafty i Gazu AGH w Krakowie

autor

Siemek Jakub

Wydział Wiertnictwa, Nafty i Gazu AGH w Krakowie

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-9ba43cd8-3208-4efa-8ce5-27c2c4dc8d5f