Szczegóły publikacji

Opis bibliograficzny

Increase in porosity and permeability resolution for thin‑bedded Miocene formation in Carpathian Foredeep using different clustering methods / Sebastian WASZKIEWICZ, Paulina KRAKOWSKA-MADEJSKA // Acta Geophysica ; ISSN 1895-6572. — Tytuł poprz.: Acta Geophysica Polonica. — 2025 — vol. 73 iss. 2, s. 1317–1333. — Bibliogr. s. 1332-1333, Abstr. — Publikacja dostępna online od: 2024-08-14

Autorzy (2)

Słowa kluczowe

thin-bedded Miocene depositswell logsartificial neural networksporositypermeabilityclustering

Dane bibliometryczne

ID BaDAP158894
Data dodania do BaDAP2025-04-18
Tekst źródłowyURL
DOI10.1007/s11600-024-01409-0
Rok publikacji2025
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaActa Geophysica

Abstract

The accurate interpretation of well-logging data is a crucial stage in the exploration of gas- and oil-bearing reservoirs. Geological formations, such as the Miocene deposits, present many challenges related to thin layers, whose thickness is often less than the measurement resolution. This research emphasizes the potential of utilizing electrofacies in such challenging environments. The application of electrofacies not only allows for the grouping of intervals with similar physical characteristics but can also be useful for estimating porosity and permeability parameters. For this purpose, various clustering methods were tested, including the 2D indexed and probabilized self-organizing map (IPSOM) method with and without supervision. Subsequently, the usefulness of the obtained results to improve the estimation of porosity and permeability parameters with the help of artificial neural networks was verified. As a result of the conducted analyses, significantly better results were obtained compared to classical petrophysical interpretation. The calculated porosity and permeability parameters were characterized by much greater variability and alignment with laboratory measurements on porosity and permeability. The best results were obtained for the IPSOM method, but the other methods did not differ significantly. In conclusion, the studies have shown a positive result of applying clustering methods, including the IPSOM method, to improve the estimation of permeability and porosity parameters in complicated, thinly-layered formations.

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fragment książki
#154611Data dodania: 23.7.2024
Possibility of determining the porosity parameter using artificial neural networks in Miocene formations of the Carpathian Foredeep / WASZKIEWICZ Sebastian, KRAKOWSKA-MADEJSKA Paulina, PUSKARCZYK Edyta, MACHOWSKI Grzegorz, PAPIERNIK Bartosz, Zoła Grzegorz, Słyś Mariusz // W: AAPG Europe region conference Energy transition [Dokument elektroniczny] : is the European approach different? : 28–29 May 2024, Krakow, Poland : workshop abstracts. — Wersja do Windows. — Dane tekstowe. — [USA : AAPG], [2024]. — S. 191. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.aapg.org/Portals/0/docs/Workshop/2024/europe/ERC-... [2024-07-22]. — Dostęp po zalogowaniu