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Use of neural networks for studying nontraditional hydrocarbon reservoirs (an example of Visean black shales of the Dnipro-Donets Basin)

The paper presents a study of Visean-stage clay shales of the Dnieper-Donets Basin using a neural network algorithm. The Dnieper-Donets Basin is among Ukraine’s prospective regions for shale gas exploration. Given the need to boost hydrocarbon production from depleted fields through non-traditional...

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Datum:	2025
Hauptverfasser:	Kurtyi, V.O., Verpakhovska, O.O.
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	S. Subbotin Institute of Geophysics of the NAS of Ukraine 2025
Schlagworte:	unconventional hydrocarbon reservoirs Dnieper–Donets Basin petrophysical properties organic-matter content (TOC) neural networks
Online Zugang:	https://journals.uran.ua/geofizicheskiy/article/view/341701
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Назва журналу:	Geofizicheskiy Zhurnal

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