id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
gc-1264	Kamenski, Ana; Kolenković Močilac, Iva; Cvetković, Marko	Shale Volume, Seismic Attributes, and Proper Data Preparation: Critical Components for Modelling Subsurface Lithology Distribution	2025	11	.pdf	application/pdf	8165	337	38	The presented methodology is limited to 3D seismic data due to the usage of a large number of attributes, some of which are not at all suited for calculation on 2D seismic data. Well data are often too sparse to enable meaningful inter- pretations using traditional methods, so the implementation of seismic data with advanced machine learning techniques is expected to yield better modelling results (SMIRNOFF et al., 2008;	cache/gc-1264.pdf	txt/gc-1264.txt
